SlideShare a Scribd company logo
1 of 741
SCOPING REVIEW Open Access
The perspective of gender on the Ebola
virus using a risk management and
population health framework: a scoping
review
Miriam N. Nkangu1*, Oluwasayo A. Olatunde2 and Sanni
Yaya3
Abstract
Background: In the three decades since the first reported case of
Ebola virus, most known index cases have been
consistently traced to the hunting of “bush meat”, and women
have consistently recorded relatively high fatality
rates in most catastrophic outbreaks. This paper discusses
Ebola-related risk factors, which constantly interact with
cultural values, and provides an insight into the link between
gender and the risk of contracting infectious diseases,
using Ebola virus as an example within Africa.
Method: A comprehensive search of the literature was
conducted using the PubMed, Ovid Medline and Global
Health CABI databases as well as CAB Abstracts, including
gray literature. We used a descriptive and sex- and
gender-based analysis to revisit previous studies on Ebola
outbreaks since 1976 to 2014, and disaggregated the
cases and fatality rates according to gender and the sources of
known index cases based on available data.
Results: In total, approximately 1530 people died in all previous
Ebola outbreaks from 1976 to 2012 compared
with over 11,310 deaths from the 2014 outbreak. Women’s
increased exposure can be attributed to time spent at
home and their responsibility for caring for the sick, while
men’s increased vulnerability to the virus can be attributed
to their responsibility for caring for livestock and to time spent
away from home, as most known sources of the index
cases have been infected in the process of hunting. We present a
conceptual model of a circle of interacting risk
factors for Ebola in the African context.
Conclusion: There is currently no evidence related to biological
differences in female or male sex that increases
Ebola virus transmission and vulnerability; rather, there are
differences in the level of exposure between men and
women. Gender is therefore an important risk factor to consider
in the design of health programs. Building the
capacity for effective risk communication is a worthwhile
investment in public and global health for future emergency
responses.
Keywords: Ebola, Gender and Ebola virus disease, Global
health, Women and Ebola virus disease, Women and care
giving roles, Ebola and hunting of bush meat, men and hunting
of bush meat
* Correspondence: [email protected]
1School of Epidemiology, Public Health and Preventive
Medicine, University
of Ottawa, 451 Smyth Road, RM 2016, Ottawa K1H 8M5,
Canada
Full list of author information is available at the end of the
article
© The Author(s). 2017 Open Access This article is distributed
under the terms of the Creative Commons Attribution 4.0
International License
(http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate
credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were
made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to
the data made available in this article, unless otherwise stated.
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135
DOI 10.1186/s40249-017-0346-7
http://crossmark.crossref.org/dialog/?doi=10.1186/s40249-017-
0346-7&domain=pdf
mailto:[email protected]
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/publicdomain/zero/1.0/
Multilingual abstract
Please see Additional file 1 for translations of the abstract
into five official working languages of the United Nations.
Background
Gender is a determinant of health that has been given
relatively little attention in medicine and in the design of
national and global health programs [1]. When gender is
considered, it is most often from the perspective of
women rather than both men and women. It is therefore
important to distinguish between gender and sex, as
both terms have been used inappropriately in the lite-
rature [1, 2]. Sex refers to the biological characteristics
of men and women, while gender denotes the socially
constructed characteristics of men and women, which
are attributed to a specific culture and context and
change over time [1–4]. In the context of Ebola, sex-
disaggregated data serve to analyze gender as a deter-
minant of health but could also help stimulate ideas on
incorporating gender into health planning and interven-
tion programs for the utilization of health services. This
is particularly important as Ebola-related risk factors are
associated with specific gender roles and therefore inter-
act with cultural values within the African context.
In defining gender-related differences, the World
Health Organization (WHO) describes how gender roles
“influence where men and women spend their time, and
the infectious agents they come into contact with, as
well as the nature of exposure, its frequency and its in-
tensity,” and “differences influence the course and out-
come of disease for those who have been infected” [4].
The WHO further highlights common differences in
gender roles that influence exposure patterns, including
the following: (i) time spent at home and away from
home; (ii) responsibility for caring for the sick; (iii) re-
sponsibility for caring for livestock; (iv) access to health-
care; and (v) scientific knowledge about treatment [4].
These gender differences and their association with
Ebola-related risk factors are discussed at the end of this
paper to connect gender and Ebola disease in Africa.
Fruit bats are thought to be the primary host of the
Ebola virus [5], and most sources of known index cases
of Ebola since the first outbreak in 1976 have been con-
sistently traced to exposure to “bush meat” [5]. Bush
meat is encountered across most parts of Africa and
refers to wild animals in the forest or non-domestic ani-
mals. Examples of such wild animals include the follow-
ing: gorillas, chimpanzees, forest antelopes (duikers),
porcupines, and crocodiles. The first known case of
Ebola outbreak in Yambuku, Democratic Republic of
Congo (DRC), was a 44-year-old male teacher known to
have purchased fresh and smoked antelope and monkey
(bush meat) approximately 50 km north of Yambuku
and had also eaten stewed antelope [6]. Thus, this paper
uses the term “bush meat” to reflect the local reality and
culture. The hunting of bush meat is an occupation
and an activity that is culturally associated with men
within the African context. Hence, bush meat is a
source of protein and is also considered a source of
income and livelihood. Moreover, the consumption of
bush meat is not linked to differences in socio-
economic status in Africa.
Women are typically considered the primary care-
givers during illness. In their attempt to fulfill their gen-
der roles, women are more inclined to nurse children
and care for their sick husbands, sisters, and brothers as
well as their entire support network. Fulfilling these
duties becomes a responsibility for women. In contrast,
it is uncommon for men to take care of their wives or
children when they are ill, as this role is often assumed
by other family members or children if they are of “rea-
sonable age”. Given that women are at higher risk of
exposure due to their gender roles, their support net-
work is also at risk. This paper uses a sex- and gender-
based analysis approach [2] as well as a risk management
and population health framework developed by Krewski
et al. (2007) (see Fig. 1) to categorize gender-associated
risk factors. In addition, we present a conceptual analysis
of a circle of interacting risk factors which illustrate how
gender-related risk factors interact with cultural values
(see Fig. 2). Given that not all risk can be managed at
the domestic level and because risk assessment informs
subsequent risk management, this paper will direct and
inform health authorities and global health policy-
makers regarding how to consider gender when planning
for and managing future Ebola outbreaks. Thus, the ob-
jective of this study was to provide insight into the link
between gender and the risk of contracting infectious
diseases using Ebola virus as an example within Africa.
Methods
We used a descriptive and sex- and gender-based ana-
lysis (SGBA) to revisit previous studies on Ebola out-
breaks since 1976. A sensitive and comprehensive
search of the literature was conducted in the PubMed,
Ovid Medline, and Global health CAB databases, as
well as the gray literature. Ovid Medline and Global
Health CAB were searched using the following MeSH
terms: “Ebola hemorrhagic fever,” “Ebola,” “sex,” “male
and female,” “gender,” and “viral hemorrhagic fever.”
After this initial pilot search, which yielded 679 publi-
cations, we excluded the term “viral hemorrhagic fever,”
which was the index term used from 1978 to 1995 in
MEDLINE, because of noise. We retained 469 pu-
blications and 39 publications were included in the final
review (see supplemental for details). All titles and
abstracts were screened to identify original articles that
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
2 of 9
Fig. 1 An integrated framework for risk management and
population health,Krewski et al. (2007). Reproduce with
Permission from Taylor and Francis
Group. Ref.P062817–01.. Source: Daniel Krewski, Victoria
Hogan, Michelle C. Turner, Patricia L. Zeman, Ian McDowell,
Nancy Edwards and Joseph Losos.
“An Integrated Framework for Risk Management and Population
Health,” Human and Ecological Risk Assessment: An
International Journal, 2007, 13, (6)
Fig. 2 Gender roles as risk factors and cultural values- a circle
of interacting risk factors [42]
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
3 of 9
reported the outcomes of actual human Ebola out-
breaks, including confirmed cases, case fatality rates,
and/or sex or gender. The search was extended by
inspecting the references of selected articles. We
reviewed Ebola outbreaks from 1976 to 2014 and disag-
gregated the cases and fatality rates according to sex;
we also identified the sources of known index cases
based on available data.
We employed the population health risk management
framework described by Krewski et al. (2007) to
characterize the risk. The framework illustrates how
“population health enhances health through multiple
interventions by modifying health determinants and the
interactions among them, whereas risk management
strives for risk avoidance by mitigating exposure to in-
dividual risk factors that can lead to adverse health out-
comes” [7]. We used the risk assessment component of
the framework to explore reported risk factors for
Ebola and to inform risk management and planning. As
such, we emphasize social and behavioral conside-
rations and present the concept of a “circle of interac-
ting risk factors”. Finally, we discuss the relevance of
the advisory and community components of the risk
management aspects of the framework and highlight
the importance of effective risk communication as a
tool in this context.
Results
In total, approximately 1530 people died in all Ebola
outbreaks from 1976 to 2012, compared with over
11,310 deaths in the 2014 outbreak (data as of April
2016) [8]. Since the first outbreak in 1976, all the
sources of known index cases of Ebola (see Table 1) have
been traced to the hunting of bush meat or exposure to
dead animals in the rainforest [5]. A relatively high fata-
lity rate has been consistently recorded among women
in most of the catastrophic outbreaks [4, 6, 9]. In the
1976 outbreak in the DRC, the mortality rate was 56%
among women and 44% in men [6]. Similarly, of the 315
cases reported in a 1995 nosocomial outbreak, 53% were
in women, and 47% were in men [9]. In the 2014 out-
break, more cases were recorded among women than
men [8, 10]. In Nigeria, women accounted for 55% of the
cases, and men accounted for the remaining 45% [11].
Gender, household, and hospital transmission
A systematic review conducted by Brainard et al. (2016)
found the risk of transmission to be higher for those
caring for the sick at home (unadjusted PPR 13.33, 95%
CI: 3.2–55.6). In most Ebola outbreaks, the transmis-
sion rate has been higher in households than in hospi-
tals, [9, 12–14]. For example, in the 1976 outbreak in
Sudan (Nzara and Maridi), 58% of infections were traced
to household contacts, and 35% were traced to hospital
settings [12]. A study conducted by the WHO in 2007 re-
ported a predominance of men in the early stages of the
2001–2002 outbreaks in Gabon and Congo, whereas
women outnumbered men during the later stages of the
outbreaks. In contrast, in the 2000–2001 outbreak in
Uganda, the number of female cases exceeded the number
of male cases throughout the outbreak [4]. These trends
are not well understood [4]. In a recent study conducted
by the WHO Ebola response team to assess sex differ-
ences among 20,035 cases reported in the three most af-
fected countries (Guinea, Liberia, and Sierra Leone)
during the 2014 outbreak, females and males had a similar
average risk of contracting the virus [10]. Although the
frequency of exposure were higher among women than
men (34.3%, 95% CI: 33.4–35.2 vs. 30.7%, 95% CI: 29.8–
31.7; P < 0.001), and women reported more exposure dur-
ing funerals than men, female patients had a higher sur-
vival than male patients, and the odds of death were lower
for females than for males after adjusting for age (OR:
0.83, 95% CI: 0.76–0.91) (see ref. [10], supplemental
appendix) [10]. Francesconi et al. (2003) also found that
neither age (> 30 years vs. ≤ 30 years: prevalence propor-
tion ratio (PPR) = 1.38, 95% CI: 0.64–2.97) nor sex (female
vs. male: PPR = 1.54, 95% CI: 0.66–3.60) was significantly
associated with the risk of contracting Ebola [15]. Simi-
larly, the WHO Ebola response team found that exposure
did not vary by age in the 2014 outbreak [10]. In the 2014
outbreak, the average interval from symptom onset to
hospitalization was 0.5 days shorter in female patients
than in male patients in all three of the most affected
countries [10]. The proportion of male patients was not
significantly different from the proportion of males in the
general population of the respective countries, except for
one specific district, Gueckedou (Guinea), which had a
very low proportion of male patients [10], this variation
was not explained.
Gender roles as risk factors -a circle of interacting risk
factors
The circle of interacting risk factors provides insight into
the interaction between Ebola risk factors and socially
constructed gender roles where the direct transmission
of Ebola virus occurs through contact with infected pa-
tients, dead bodies, or bodily fluids [14, 15]. Indirect
transmission may occur when sharing meals, washing
clothes, sleeping in the same bed, sharing clothing, shak-
ing hands, or hugging, as well as during ritual hand
washing and communal meals at funerals [14–16]. Dead
bodies carry a high viral load [14, 17], and cultural prac-
tices associated with funerals put both men and women
at high risk. Men of high societal status and those who
engage in some religious practices may be required to
touch dead bodies and dress them, and women may be
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
4 of 9
T
a
b
le
1
Se
x
d
is
tr
ib
u
ti
o
n
o
f
Eb
o
la
vi
ru
s
ca
se
s
an
d
th
e
ex
p
o
su
re
ty
p
e
o
f
kn
o
w
n
in
d
ex
ca
se
s
fr
o
m
19
76
to
20
14
So
u
rc
e
Ye
ar
C
o
u
n
tr
y
Eb
o
la
Sp
ec
ie
s
So
u
rc
es
o
f
kn
o
w
n
in
d
ex
ca
se
s
C
as
es
(n
)
To
ta
l
C
as
es
Fa
ta
lit
y
Ra
ti
o
%
M
al
es
Fe
m
al
es
M
al
es
Fe
m
al
es
Bu
lle
ti
n
o
f
W
H
O
,1
97
8
19
76
Su
d
an
Su
d
an
vi
ru
s
U
n
kn
o
w
n
x
x
28
4
56
48
a
Bu
lle
ti
n
o
f
W
H
O
,1
97
8
19
76
D
RC
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
14
1
17
7
31
8
44
56
H
ey
m
an
n
et
al
.,
19
80
,&
Le
ro
y
et
al
.,
20
09
19
77
Ta
n
d
al
a,
D
RC
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
0
0
1
0
10
0
Ba
ro
n
et
al
.,
19
83
[2
7]
19
79
Su
d
an
Su
d
an
vi
ru
s
U
n
kn
o
w
n
13
21
34
(2
2
d
ea
th
s)
x
x
Le
ro
y
et
al
.,
20
09
,C
D
C
,2
01
6
19
94
Iv
o
ry
C
o
as
t
Ta
i
Fo
re
st
vi
ru
s
C
h
im
p
an
ze
e
1
0
1
(n
o
d
ea
th
s)
0
0
G
eo
rg
es
et
al
.,
19
99
[2
8]
19
94
G
ab
o
n
Z
ai
re
vi
ru
s
C
h
im
p
an
ze
e,
G
o
ril
la
x
x
52
(3
1
d
ea
th
s)
x
x
M
u
ye
m
b
e-
Ta
m
fu
m
et
al
.,
19
99
&
Ro
el
s
et
al
.,
19
99
[2
9]
19
95
D
RC
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
14
9
16
6
31
5
50
.4
49
.6
G
eo
rg
es
et
al
.,
19
99
19
96
G
ab
o
n
(S
p
rin
g
)
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
17
14
31
(2
1
d
ea
th
s)
x
x
G
eo
rg
es
et
al
.,
19
99
19
96
G
ab
o
n
(F
al
l)
Z
ai
re
vi
ru
s
C
h
im
p
an
ze
e
x
x
60
(4
5
d
ea
th
s)
x
x
C
D
C
20
14
[3
0]
,F
ra
n
ce
sc
o
n
i
et
al
.,
20
03
[3
1]
,
&
La
m
u
n
u
et
al
.,
20
03
20
00
U
g
an
d
a
Su
d
an
vi
ru
s
U
n
kn
o
w
n
15
6
26
9
42
5
(2
24
d
ea
th
s)
x
x
Le
ro
y
et
al
.,
20
09
&
N
ko
g
h
e
et
al
.,
20
11
20
01
–
20
02
Re
p
u
b
lic
o
f
C
o
n
g
o
Z
ai
re
vi
ru
s
C
h
im
p
an
ze
e,
G
o
ril
la
,M
o
n
ke
y
x
x
59
(4
4
d
ea
th
s)
x
x
N
ko
g
h
e
et
al
.,
20
05
&
Le
ro
y
et
al
.,
20
09
20
01
–
20
02
G
ab
o
n
Z
ai
re
vi
ru
s
C
h
im
p
an
ze
e,
G
o
ril
la
34
31
65
(5
3
d
ea
th
s)
x
x
Bo
u
m
an
d
o
u
ki
et
al
.,
20
05
[3
2]
,N
ko
g
h
e
et
al
.,
20
11
[3
3]
,&
Le
ro
y
et
al
.,
20
09
&
20
05
[3
4]
20
03
Re
p
u
b
lic
o
f
C
o
n
g
o
Z
ai
re
vi
ru
s
G
o
ril
la
,M
o
n
ke
y
x
19
35
(2
9
d
ea
th
s)
x
x
Fo
rm
en
ty
et
al
.,
20
03
[3
5]
,L
er
o
y
et
al
.,
20
09
&
N
ko
g
h
e
et
al
.,
20
11
20
03
(J
an
-J
u
n
e)
Re
p
u
b
lic
o
f
C
o
n
g
o
Z
ai
re
vi
ru
s
G
o
ril
la
,M
o
n
ke
y
53
%
(p
at
ie
n
t)
47
14
3
(1
28
d
ea
th
s)
x
x
N
ko
g
h
e
et
al
.,
20
11
20
05
(A
p
ril
–
M
ay
)
Re
p
u
b
lic
o
f
C
o
n
g
o
Z
ai
re
vi
ru
s
H
an
d
lin
g
an
im
al
s
10
2
12
(1
0
d
ea
th
s)
x
x
G
ra
rd
et
al
.,
20
11
[3
6]
&
C
D
C
,2
01
6
20
07
–
20
08
D
RC
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
x
x
26
4
(1
87
d
ea
th
s)
x
x
U
g
an
d
a
Bu
n
d
ib
u
g
yo
vi
ru
s
U
n
kn
o
w
n
x
x
14
9
(3
7
d
ea
th
s)
x
x
Le
ro
y
et
al
.,
20
09
20
07
U
g
an
d
a
Bu
n
d
ib
u
g
yo
vi
ru
s
U
n
kn
o
w
n
x
x
11
6
(3
0
d
ea
th
s)
x
x
C
D
C
,2
01
6
[3
7]
20
12
D
RC
Bu
n
d
ib
u
g
yo
vi
ru
s
U
n
kn
o
w
n
x
x
36
(1
3
d
ea
th
s)
x
x
W
H
O
,2
01
4,
N
an
cl
ar
es
et
al
.,
20
16
[3
8]
,
&
M
ag
an
g
a
et
al
.,
20
14
[3
9]
20
14
D
RC
Z
ai
re
vi
ru
s
G
o
ril
la
,M
o
n
ke
y
x
x
66
(4
9
d
ea
th
s)
x
x
W
H
O
,2
01
6
(d
at
a
as
o
f
M
ay
20
16
)
20
14
G
u
in
ea
Z
ai
re
vi
ru
s
U
n
kn
o
w
n
15
99
17
47
33
46
x
x
Si
er
ra
Le
o
n
e
Im
p
o
rt
ed
48
23
51
18
99
41
x
x
Li
b
er
ia
Im
p
o
rt
ed
19
11
18
38
37
49
x
x
a
In
d
ic
at
es
d
at
a
as
re
p
o
rt
ed
in
th
e
ar
ti
cl
e
x
In
d
ic
at
es
th
at
d
at
a
w
er
e
n
o
t
av
ai
la
b
le
in
d
is
ag
g
re
g
at
ed
fo
rm
R
ep
o
rt
ed
d
at
a
in
cl
u
d
ed
b
o
th
p
ro
b
ab
le
an
d
co
n
fi
rm
ed
ca
se
s
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
5 of 9
required to bathe, dress, shave, and touch dead bodies as
part of the traditional rites performed during such cere-
monies [13]. Both men and women have specific cultural
roles during funeral services. For example, in the out-
break in Gabon in 2001–2002, women took care of the
dead bodies of women, and men took care of the dead
bodies of men, according to their tradition [13]. All
these risk factors and related exposures interact with
cultural values as shown in Fig. 2.
Discussion
There is currently no evidence related to biological dif-
ferences in female or male sex that increases Ebola virus
transmission and vulnerability; rather, there are differ-
ences in the level of exposure between men and women
[10, 11, 18].. Data from the 2014 outbreak (December
2013 – August 2015) suggested that female patients with
confirmed Ebola were less likely to die than male pa-
tients [10]. This finding is significant when considering
the large number of cases in the study, which was pow-
ered to detect small differences in outcomes. However,
given that most of the previous outbreaks did not often
report cases and fatality by sex, it is important to con-
duct further research using a sex- and gender-based ana-
lysis approach [2].
Gender differences that influence exposure patterns
Ebola outbreaks require an emergency response, and
pre-existing knowledge and understanding of exposure
patterns and their interplay with gender-associated risk
factors provide fundamental assistance with planning
such a response. Below, we discuss these differences and
gender-related risk factors in more detail, using available
evidence to inform health policy.
Responsibility of caring for livestock and time spent away
from home
Most known index cases in epidemiological reports have
been traced to hunting of or exposure to bush meat [5].
However, there has been little effort to help those who
are responsible (men) for this activity in performing
their role (hunting of bush meat). Although women are
sometimes involved in cross-border trading, which may
increase their level of exposure and could be considered
as time spent away from home, data on source of known
index cases point to the importance of hunting as a cata-
lyst of outbreak. There is a possible connection between
patterns of time spent away from home taking care of
livestock and the finding that most source of index cases
have been traced to hunting. The primary healthcare
(PHC) movement advocated for “community participa-
tion” [1] but ignored gender roles [1, 19], and the move
away from comprehensive PHC to selective PHC further
hindered this goal. In line with the health in all policies
approach, global response strategies should, within a
specific context, identify the various high-risk groups,
establish the needs of the local community, and incorp-
orate these factors into health planning programs.
Time spent at home and responsibility for caring for the
sick
The risk of transmission is found to be higher for those
caring for the sick at home [14]. In the DRC outbreak in
1976, the high transmission rate reported in hospitals
was due to the use of syringes [6]. A direct connection
can be drawn between time spent at home and caring
for the sick and the level of exposure and susceptibility.
Women are considered caregivers and take on the role
of “nurses” in their homes. They perform tasks that, to
some extent, are similar to those performed by nurses in
the hospital. However, nurses are trained and accredited,
unlike informal caregivers, little attention is paid to in-
formal caregivers when designing health programs
within a specific context. This is further discussed in
Table 2 using a case study in Liberia as an example.
Scientific knowledge regarding treatment and access to
healthcare
In the absence of a licensed treatment for Ebola at the
time that this paper was prepared, we use the advisory
and community components of the framework by Krewski
et al. Human and Ecological Risk Assessment: An Inter-
national Journal (2007) to discuss the scientific knowledge
and access to care in the context of Ebola, focusing on risk
perception and effective risk communication.
Ebola virus has always been perceived in the community
as either a “mysterious illness” or “witchcraft” [6, 20].
Although risk perception by the general public has always
been at odds with expert opinion [21], risk perception
varies by context, gender, and level of education, all of
which may also influence care-seeking behavior. There is
little to no data on the level of education by gender among
Table 2 The Liberian case
On September 25, 2014, CNN posted on their website a story
about a
Liberian lady who took care of her entire family—mother,
sister, father,
and cousin—all of whom were infected. She fed and cleaned
them and
administered their medication all by herself. She invented her
own
personal protective equipment (PPE) using local materials
known as
“trash bags” [40] but did not get infected. Out of 4 patients she
nursed,
only one died. One may argue that, unlike most informal
caregivers, she
had some formal nursing training and knowledge, although she
had
not yet graduated.
The focus of this example is to expand on the following: (i) to
illustrate
a typical example of gender-specific roles in the African
context; (ii) to
show how women’s role and their task as caregivers are similar,
to some
extent, to those of nurses in a hospital setting; and (iii) to
emphasize the
importance of considering these gender roles when planning and
designing health programs within a specific context.
http://www.cnn.
com/2014/09/25/health/ebola-fatu-family/) [41].
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
6 of 9
http://www.cnn.com/2014/09/25/health/ebola-fatu-family
http://www.cnn.com/2014/09/25/health/ebola-fatu-family
Ebola-infected patients or survivors. However, evidence
from the literature indicates that risk perception varies by
gender and level of education [21], both of which impact
access to health services [22]. For example, in a systematic
review of gender-related barriers to accessing treatment
for tuberculosis (TB), an infectious disease characterized
by stigmatization, Krishnan et al. (2014) found that low
education in women correlated with greater fear of con-
tracting TB, that men had more knowledge about TB
transmission than women, and that socio-cultural norms
associated with the status of men and women directly af-
fected the types of barriers encountered while accessing
treatment [22]. Most women in Africa, especially those
who are less educated, do not feel they have the right to
refuse sex once they are married, and there is little aware-
ness that men can transmit the virus through semen for
up to seven weeks after recovery [17, 23].
In the 1995 outbreak, some survivors accepted that
Ebola is a preventable disease, and some considered it a
divine punishment from God [24]. Public health messa-
ging during the 2014 outbreak emphasized that “Ebola is
real”, with repeated messages that “it is deadly and has
no cure, no treatment, and no vaccine” [20]. While this
advisory message sought to inform an “ignorant” com-
munity that the disease has no cure, it may have had a
perverse effect: people in the community were advised
to seek immediate care in the hospital in the event of
any symptoms, but they witnessed patients going into
the hospital for treatment and dying. This calls to mind
the work of Jardine and Hrudley (1997), who found that
mixed messages in risk communication caused differ-
ences in understanding and interpretation between the
risk managers and the affected population [25]. Such
messages may lead to differences in processing and
understanding of the risk message, especially when
technical or scientific terms are used, such as “no cure,
no treatment, and no vaccine”, in addressing a lay
population with multiple spoken languages and dialects.
Moreover, gender differences in the use of services may
arise depending on several factors: To whom and in
what language is the message actually delivered? How is
the message delivered? Who actually makes the decision
to seek care? Who makes the decision to take a patient
away from the hospital? Who actually cares for the
patient? A WHO report clearly stated that “when
technical interventions cross purposes with entrenched
cultural practices, culture always wins” and that “by
implication, control efforts should work within the
culture and not otherwise” [20].
Limitations
There have been discrepancies in data collection and vari-
ations in data reporting across the various Ebola outbreaks
that have occurred since 1976. For instance, most of the
data collected did not systematically take sex and gender
into consideration; thus, the data could not be disaggre-
gated. This explains why some of this information is not
provided in Table 1. This is in line with Harman’s explan-
ation that “discrepancy over the data reported during
Ebola outbreaks is problematic for the visibility of women
and gender” [26]. We found that most studies did not col-
lect or report information about the level of education of
infected patients or survivors by gender. These data may
have been collected by health authorities but were infre-
quently reported in a disaggregated form in most studies.
We do not report case fatality for the 2014 outbreak in
Table 1 because the data were not yet available at the time
of the preparation of this manuscript. We focused on gen-
der roles and thus did not consider pregnancy related risk
factors, which we consider to be more biological and preg-
nancy does not change any aspect of gender roles. Fur-
thermore, we did not include age, because there was no
significant difference by age in disease exposure or out-
comes [10, 15]. Moreover, gender roles in the African con-
text do not depend on age per se but rather on whether a
person is of “reasonable age” to undertake a given role.
Finally, although health workers are generally at higher
risk of contracting the virus, we did not discuss the impact
of gender in this population and occupation. Nevertheless,
it is important to note that women often comprise the
majority of nurses in the hospital. Women are often given
lower status and recognition, and most families prefer to
train and educate male children as doctors and female
children as nurses (if given the opportunity) based on per-
ceived gender roles. As a consequence, women serve more
often than men as frontline caregivers in the hospital.
Conclusion
It is important to disaggregate data by sex, which can help
inform gender-related research, health planning and pol-
icies. The need to build the capacity for effective risk com-
munication as a worthwhile investment for both local and
global public health authorities, and to understand and re-
spect subtle cultural and socio-economic undertones re-
lating to gender should not be undermined. The hope is
that global and national health policies will better incorp-
orate gender-based lessons drawn from the following: (i)
the consistent tracing of the source of known index cases
of Ebola to the hunting of bush meat, (ii) the high rate of
transmission in the household and during burials, and (iii)
gender-related differences and interaction in exposure pat-
terns and risk factors.
Additional file
Additional file 1: Multilingual in the five official working
languages of
the United Nations. (PDF 580 kb)
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
7 of 9
dx.doi.org/10.1186/s40249-017-0346-7
Abbreviations
DRC: Democratic Republic of Congo; PPR: Prevalence
proportion ratio;
TB: Tuberculosis; WHO: World Health Organization; ZBOV:
Zaire Ebola Virus
Acknowledgments
The authors would like to thank their respective institutions for
their support.
Special thanks to Dr. Daniel Krewski, Dr. Mohamed Taher, and
Dr. Carol Vlassoff
for their comments on the earlier abstract, which was presented
at the 22nd
Canadian Conference on Global Health, Montreal, 2015. We are
grateful to
the Lea Cross Foundation for their conference grant that
supported the
presentation of the abstract at the 22nd Canadian Conference on
Global
Health, Montreal, 2015.
Funding
No funding body supported this study.
Availability of data and materials
Data sharing is not applicable to this article, as no datasets were
generated
or analyzed in the current study.
Authors’ contributions
MN conceived of the idea and drafted the methodology. MN,
OAO, and SY
were involved in the review of the literature and drafting of the
manuscript.
All authors reviewed and approved the final version of this
manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interesrs.
Author details
1School of Epidemiology, Public Health and Preventive
Medicine, University
of Ottawa, 451 Smyth Road, RM 2016, Ottawa K1H 8M5,
Canada.
2Department of Family Medicine, Dalhousie University,
Halifax, 208–44
Mapleton Road, Moncton NB E1C 7W8, Canada. 3School of
International
Development and Global Studies, University of Ottawa, 120
University, Social
Sciences Building, RM 8005, Ottawa K1N 6N5, Canada.
Received: 17 November 2016 Accepted: 7 August 2017
References
1. Vlassoff C, Moreno CG. Placing gender at the centre of
health
programming: challenges and limitations. Soc Sci Med.
2002;54:1713–23.
2. Johnson JL, Greaves L, Repta R. Better science with sex and
gender:
facilitating the use of a sex and gender-based analysis in health
research. Int
J Equity Health. 2009;8:14. doi:https://doi.org/10.1186/1475-
9276-8-14.
3. Verdonk P, Benschop Y, De Haes H, Lagro-Janssen T. From
gender bias to
gender awareness in medical education. Adv Health Sci Edu.
2009;14(1):
135–52. doi:https://doi.org/10.1007/s10459-008-9100-z.
4. WHO. Addressing sex and gender in epidemic-prone
infectious diseases.
2007.
http://www.who.int/csr/resources/publications/SexGenderInfect
Dis.
pdf(Accessed on 10 August 2016).
5. Leroy EM, Epelboin A, Mondonge V, Gonzalez JP,
Muyembe-Tamfum JJ,
Formenty P. Human Ebola outbreak resulting from direct
exposure to fruit
bats in Luebo, Democratic Republic of Congo, 2007. Vector
Borne Zoonotic
Dis. 2009;9(6):723–72.
doi:https://doi.org/10.1089/vbz.2008.0167.
6. WHO. Ebola hemorrhagic fever 1976: report of an
international commission.
Bull World Health Organ. 1978;56(2):271–93.
7. Krewski D, Hogan V, Turner MC, Zeman PL, McDowell I,
Edward N, et al.
An integrated framework for risk management and population
health.
Hum Eco Risk Assesst:An Int J. 2007;13(6):1288–312.
doi:https://doi.org/10.
1080/10807030701655798.
8. WHO. Ebola data and statistics. 2016
http://apps.who.int/gho/data/view.
ebola-sitrep.ebola-summary-latest-age-sex.(Accessed on 13
August 2016).
9. Muyembe-Tamfum JJ, Kipasa M, Kiyungu C, Colebunders R.
Ebola outbreak
in Kikwit, Democratic Republic of the Congo: discovery and
control
measures. J Infect Dis. 1999;179(Suppl 1):S259–62.
10. Ebola Response Team WHO. Ebola virus disease amongst
males
and females persons in West Africa. N Engl J Med.
2017;374:96–8.
doi:https://doi.org/10.1056/NEJMc1510305.
11. Fawole OI, Bamiselu OF, Adewuyi PA, Nguku PM. Gender
dimensions to the
Ebola outbreak in Nigeria. Ann Afr Med. 2016;15:7–13.
12. WHO. Ebola haemorrhagic fever in Sudan, 1976: report of a
WHO/
international study team. Bull World Health Organ.
1978;56(2):247–70.
13. Nkoghe D, Formenty P, Leroy EM, Nnegue S, ObameEdou
SY, Iba Ba J, et al.
ÉpidémiologiePlusieursépidémies de fièvre hémorragique due
au virus
Ebola au Gabon, d’octobre 2001 a avril 2002. Bull Soc Pathol
Exot.
2005;98(3):224–9. (in France)
14. Brainard J, Hooper L, Pond K, Edmunds K, Hunter PR. Risk
factors for
transmission of Ebola or Marburg virus disease: a systematic
review
and meta-analysis. Int J Epidemiol. 2016:102–16.
doi:https://doi.org/10.
1093/ije/dyv307.
15. Francesconi P, Yoti Z, Declich S, Onek PA, Fabiani M,
Olango J, et al. Ebola
hemorrhagic fever transmission and risk factors of contacts.
Uganda Emerg
Infect Dis. 2003;9(11):1430–7.
doi:https://doi.org/10.3201/eid0911.030339.
16. Dowell SF, Mukunu R, Ksiazek TG, Khan AS, Rollin PE,
Peters CJ. Transmission
of Ebola hemorrhagic fever: a study of risk factors in family
members, Kikwit,
democratic Repubic of the Congo, 1995. J Infect Dis.
1999;179(Suppl 1):S87–91.
17. WHO. Ebola virus disease. Fact sheet No. 103. Updated
January 2016.
http://www.who.int/mediacentre/factsheets/fs103/en/ (Accessed
25 August 2016).
18. Ebola Response Team WHO. Ebola virus disease in West
Africa – the
first 9 months of the epidemic and forward projections. N Engl
J Med.
2014;371:1481–95.
19. Leslie J. Women’s time: a factor in the use of child survival
technologies?
Health Policy Plan. 1989;4:1–16.
20. WHO. Factors that contributed to undetected spread of the
Ebola virus and
impeded rapid containment. 2015.
http://www.who.int/csr/disease/ebola/
one-yeareport/factors/en/ (Accessed on 10 July,2016).
21. Krewski D, Slovic P, Bartlett S, Flynn J, Mertz C. Health
risk perception in
Canada I: rating hazards, sources of information and
responsibility for health
protection. Hum Ecol Risk Assess: An Int J. 1995b;1(2):117–32.
doi:https://doi.
org/10.1080/10807039509379997.
22. Krishnan L, Akande T, Shankar AV, McintireKN GCR,
Gupta A, et al. Gender-
related barriers and delays in accessing Tuberclosis diagnostic
and
treatment services: a systematic review of qualitative studies. J
Tuberc Res
Treat. 2014:Article ID 215059.
https://doi.org/10.1155/2014/215059
23. Thorson A, Formenty P, Lofthouse C, Broutet N. Systematic
review of the
literature on viral persistence and sexual transmission from
recovered Ebola
survivors: evidence and recommendations. BMJ. 2016:e008859.
doi:https://
doi.org/10.1136/bmjopen-2015-008859.
24. De Roo A, Ado B, Rose B, Guimard Y, Fonck C,
Colebunders R. Survey
among survivors of the 1995 Ebola epidemic in Kikwit,
Democratic
Republic of Congo: their feelings and experiences. Tropical
Med Int Health.
1998;3:883–5.
25. Jardine CG, Hrudley SE. Mixed messages in risk
communication. Risk Analysi.
1997;17(4):489–98.
26. Harman S. Ebola, gender and conspicuously invisible
women in global
health governance. Third World Q. 2016;37(3):524–41.
doi:https://doi.org/10.
1080/01436597.2015.1108827.
27. Baron RC, McCormick JB, Zubeir OA. Ebola virus disease
in southern Sudan:
hospital dessimination and intrafamilial spread. Bull World
Health Organ.
1983;61(6):997–1003.
28. Georges AJ, Leroy EM, Renault AA, Benissan CT, Nabias
RJ, Ngoe MT, et al.
Ebola hemorrhagic fever outbreaks in Gabon, 1994–1997:
epidemiologic
and health control measures. J Infect Dis. 1999;179(Suppl
1):S65–75.
29. Roels TH, Bloom AS, Buffington J, Muhungu GL, Mac
Kenzie WR, Khan AS,
et al. Ebola hemorrhagic fever, Kikwit, Democratic Republic of
the Congo,
1995: risk factors for patients without a reported exposure. J
Infect Dis.
1999;179(Suppl 1):S92–7. doi:https://doi.org/10.1086/514286.
30. CDC. 2014 Ebola outbreak in West Africa-case counts.
2014. https://www.
cdc.gov/vhf/ebola/outbreaks/2014-west-africa/case-counts.html
(Accessed
on 20 August 2016).
31. Lamunu M, Lutwama JJ, Kamugisha J, Opio A, Nambooze J,
Ndayimirije N,
et al. Containing a haemorrhagic fever epidemic:the Ebola
experience in
Uganda (October 2000-January 2001). Inter J Infect Dis.
2004;8:27–37.
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
8 of 9
32. Boumandouki P, Formenty P, Epelboin A, Campbell P,
Atsangandoko C,
Allarangar Y, et al. Épidémiologie. Priseen charge des malades
et des défuntslors
de l’épidémie de fièvre hémorragique due au virus Ebola
d’octobre à
décembre 2003 au Congo. Bull Soc Pathol Exot.
2005;98(3):218–23. (in France)
33. Nkoghe D, Kone ML, Yada A, Leroy E. A limited outbreak
of Ebola
haemorraghic fever in Etoumbi, republic of Congo, 2005. Trans
R Soc Trop
Med Hyg. 2011;105:466–72.
34. Leroy EM, Kumulungui B, Pourrut X, Rouguet P, Hassanin
A, Yaba P, et al.
Fruit bats as reservoirs of Ebola virus. Nature.
2005;438(7068):575–6. doi:
https://doi.org/10.1038/438575a.
35. Formenty P, Libama F, Epelboin A, Allarangar Y, Leroy E,
Moudzeo H, et al.
Outbreak of Ebola hemorrhagic fever in the Republic of the
Congo, 2003: a
new strategy? Med Trop (Mars). 2003;63(3):291–5.
36. Grard G, Biek R, Muyembe-Tamfum JJ, Fair J, Wolfe N,
Formenty P, et al.
Emergence of divergent Zaire ebola virus strains in Democratic
Republic of
the Congo in 2007 and 2008. J Infect Dis. 2011;204(Suppl
3):S776–84. doi:
https://doi.org/10.1093/infdis/jir364.
37. CDC. Chronology of Ebola outbreaks. 2016.
http://www.Cdc.Gov/vhf/ebola/
outbreaks/history/chronology.Html (accessed on 15 august
2016).
38. Nanclares C, Kapetshi J, Lionetto F, De la Rosa N,
Muyembe-Tamfun JJ, Alia M,
et al. Ebola virus disease, Democratic Republic of the Congo,
2014. Emerg
Infect Dis. 2016;22(9):1579–86.
https://doi.org/10.3201/eid2209.160354
39. Maganga GD, Kapetshi J, Berthet N, Ilunga BK, Kabange F,
Kingebeni PM, et
al. Ebola virus diseases in Democratic Republic of Congo. N
Engl J Med.
2014;371(22):2083–91.
40. Heymann DL, Weisfeld JS, Webb PA, Johnson KM, Cairns
T, Berquist H. Ebola
hemorrhagic fever: Tandala, Zaire, 1977–1978. J Infect Dis.
1980;142(3):372–6.
41. CNN.A one-woman hospital.
http://www.cnn.com/2014/09/25/health/ebola-
fatu-family/ (Accessed on 15 August 2016).
42. Nkangu M, Olatunde OA, Yaya S. A gender perspective of
Ebola virus
disease using a population health risk assessment framework: a
review of
the literature. Presented at the 22nd Canadian conference on
Global Health,
Montreal, 2015. http://www.csih.org/en/review2015/.
• We accept pre-submission inquiries
• Our selector tool helps you to find the most relevant journal
• We provide round the clock customer support
• Convenient online submission
• Thorough peer review
• Inclusion in PubMed and all major indexing services
• Maximum visibility for your research
Submit your manuscript at
www.biomedcentral.com/submit
Submit your next manuscript to BioMed Central
and we will help you at every step:
Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page
9 of 9
AbstractBackgroundMethodResultsConclusionMultilingual
abstractBackgroundMethodsResultsGender, household, and
hospital transmissionGender roles as risk factors -a circle of
interacting risk factorsDiscussionGender differences that
influence exposure patternsResponsibility of caring for
livestock and time spent away from homeTime spent at home
and responsibility for caring for the sickScientific knowledge
regarding treatment and access to
healthcareLimitationsConclusionAdditional
fileAbbreviationsFundingAvailability of data and
materialsAuthors’ contributionsEthics approval and consent to
participateConsent for publicationCompeting interestsAuthor
detailsReferences
SAVIGNAC, J. (2009). Families, youth and delinquency: The
state of knowledge, and family-based juvenile delinquency
programs (Research Report 2009-1). Ottawa: National Crime
Prevention Centre, Public Safety Canada.
Family interactions are most important during early childhood,
but they can have long-lasting effects. In early adolescence,
relationships with peers take on greater importance. Family
structure and family functioning are two general categories
under which family effects on delinquency.
Increased risk of delinquency experienced among children of
broken homes is related to the family conflict prior to the
divorce or separation, rather than to family breakup itself
(Rutter et al., 1998).
· 1 Become familiar with the problems of youth in American
culture
· 2 Distinguish between ego identity and role diffusion
· 3 Discuss the specific issues facing American youth
· 4 Understand the concept of being “at risk” and discuss why
so many kids take risks
· 5 Be familiar with the recent social improvements enjoyed by
American youth
· 6 Discuss why the study of delinquency is so important and
what this study entails
· 7 Describe the life of children during feudal times
· 8 Discuss the treatment of children in the seventeenth and
eighteenth centuries
· 9 Discuss childhood in the American colonies
· 10 Know about the child savers and the creation of
delinquency
· 11 Discuss the elements of juvenile delinquency today
· 12 Know what is meant by the term status offender
chapter features
cyber Delinquency: Catfishing
Case profile: Aaliyah’s Story
Evidence-Based Juvenile Justice—intervention: Family Key
Programs
KEAIRA BROWN WAS JUST 13 YEARS OLD when she was
charged with murder and became the youngest person in
Wyandotte County, Kansas, ever to be tried as an adult. Her
family life was close but troubled. Her mother, Cheryl Brown,
had three other children, two enrolled in local colleges. Keaira
was involved in after-school activities, including playing the
violin. But when her mom went to prison on a drug charge,
things began to spiral downhill for Keaira, and when she was
only 10 she attempted suicide. On July 23, 2008, at about
4:00 PM, Keaira was supposed to be at a summer program at the
Boys and Girls Club in Kansas City. Instead, she was involved
in the carjacking of Scott Sappington, Jr., a junior at Sumner
Academy, who had just dropped his siblings off at their
grandmother’s house. When he returned to his car, neighbors
heard him yell, “Hey, hey,” then there was a struggle inside the
car, and he was shot in the head. An investigation led to a 6-
year-old who told police that a young girl told a group of
children to get rid of her bloody clothes. Police distributed
pictures of the bloody clothes to the media, and soon after, the
clothes were traced back to Keaira Brown.
Prosecutors thought the murder was a result of a carjacking that
went wrong, while Keaira’s family claimed she was an innocent
pawn for area gang members who thought she would not be
prosecuted because of her age. They were incorrect. In April,
almost a year after the crime, a Wyandotte County judge ruled
that Keaira should face trial as an adult. On November 9, 2010,
Keaira Brown was found guilty of first-degree murder and
attempted aggravated robbery. She will have to serve 20 years
before being eligible for parole.
Stories such as that of Keaira Brown are certainly not
unique. While the Supreme Court ruled in Roper v.
Simmons that juveniles cannot be sentenced to the death
penalty, it is quite legal to incarcerate them in adult prison for
life if they commit a capital crime, as long as the judge takes
age into account before sentencing takes place (Miller v.
Alabama).1 So Keaira, who was 13 years old at the time she
committed her crime, may spend the rest of her life behind bars.
Roper v. Simmons
A juvenile under 18 years of age who commits a capital crime
cannot face the death penalty.
Miller v. Alabama
In this case, the Supreme Court held that mandatory life
sentences, without the possibility of parole, are unconstitutional
for juvenile offenders.
The problems of youth in contemporary society can be
staggering. Because of trouble and conflict occurring in their
families, schools, and communities, adolescents experience
stress, confusion, and depression. There are approximately 75
million children in the United States, a number that is projected
to increase to about 85 million by 2025.2 Since the mid-1960s,
children have been decreasing as a proportion of the total US
population, so today 24 percent of the population are 18 and
under, down from a 1964 peak of 36 percent at the end of the
so-called baby boom. Children are projected to remain a fairly
stable percentage, about 23 percent, of the total population
through 2050. Though the number of children is projected to
remain stable, racial and ethnic diversity is growing, so that the
population is projected to become even more diverse in the
decades to come. In 2023, less than half of all children are
projected to be white, non-Hispanic; by 2050, 38 percent of
children are projected to be white, non-Hispanic, down from 55
percent today.
The mission of the Children’s Defense
Fund (http://www.childrensdefense.org/) is to “leave no child
behind” and to ensure every child “a healthy start, a head start,
a fair start, a safe start, and a moral start in life,” as well as a
successful passage to adulthood with the help of caring families
and communities. The CDF tries to provide a strong, effective
voice for kids who cannot vote, lobby, or speak for themselves.
For more information about this topic, visit the Criminal Justice
CourseMate at cengagebrain.com, then access the “Web Links”
for this chapter.
During the baby boom (1946–1964), the number of children
grew rapidly (see Exhibit 1.1). Now as the baby boomers enter
their senior years, their needs for support and medical care will
increase. At the same time, a significant number of kids who are
poor and at risk for delinquency and antisocial behavior will
need both private and public assistance and aid. While the
number of poor kids and the elderly will be rising, the 30- to
50-year-old population who will be expected to care and pay for
these groups will constitute a much smaller share of the
population.
exhibit 1.1: Six Generations of Americans
The Greatest Generation: Born after World War I and raised
during the Depression, they overcame hardships, fought in
World War II, and went on to build America into the world’s
greatest superpower. They were willing to put off personal gain
for the common good.
Baby Boomers: Born between the end of World War II and the
Kennedy-Johnson years, and now approaching retirement age,
“boomers” are considered a generation who have benefited the
most from the American Dream and postwar leadership. Their
parents, who grew up during the Great Depression, made sure
their children had the best of everything. Baby boomers
benefited from affordable college and post-graduate education,
relatively low housing costs, and plentiful job opportunities.
Though they experienced some significant setbacks, such as the
war in Viet Nam, they were a privileged generation that has
been accused of being self-absorbed and materialistic.
Generation X: Born between 1963 and 1980 and now
approaching 50, Gen-Xers are often accused of being unfocused
and uncommitted—the “why me?” generation. Coming of age
between 1980 and 1990, when divorce was rampant and greed
was good, they are not attached to careers or families. They
lived through the 1990s, a time with significant social problems,
including teen suicide, homelessness, the AIDS epidemic, a
downsizing of the workforce, and overseas conflict. Generation
X is described as pessimistic, suspicious, and frustrated slackers
who wear grunge clothing while listening to alternative music
after they move back home with their parents. They do not want
to change the world, just make their way in it and through it
without complications.
Generation Y: Born between 1981 and 1994, Gen Y kids were
deeply influenced by the 9/11 attacks and as a result are more
patriotic than their older peers. They were weaned on reality TV
and are sometimes called the MTV generation. Compared to
their elders, Gen Y kids are incredibly sophisticated
technologically. Gen Y members live in a world that is much
more racially and ethnically diverse than their parents, and most
are willing to accept diversity. Their worldview is aided by the
rapid expansion in cable TV channels, satellite radio, the
Internet, e-zines, etc. They may have lived in families with
either a single caretaker or two working parents. Members of
Generation Y are often accused of being self-centered,
irresponsible, and having a lack of understanding of how the
work world functions.
Generation Z: Born between 1995 and 2009, they are the first
generation to have grown up in a world dominated by the
Internet and instant communication; iPads, group video games,
texting, and tweeting are their milieu. Will this next generation
have the same opportunities as their grandparents in a global
economy in which the United States is competing with other
powerful nations for dominance?
Generation Alpha: Born after 2012, it’s just too early to tell.
The Adolescent Dilemma
As they go through their tumultuous teenage years, the problems
of American society and the daily stress of modern life have a
significant effect on our nation’s youth. Adolescence is
unquestionably a time of transition. During this period, the self,
or basic personality, is still undergoing a metamorphosis and is
vulnerable to a host of external determinants as well as internal
physiological changes. Many youths become extremely
vulnerable to emotional turmoil and experience anxiety,
humiliation, and mood swings. Adolescents also undergo a
period of biological development that proceeds at a far faster
pace than at any other time in their lives except infancy. Over a
period of a few years, their height, weight, and sexual
characteristics change dramatically. The average age at which
girls reach puberty today is 12.5 years; 150 years ago, girls
matured sexually at age 16. But although they may become
biologically mature and capable of having children as early as
14, many youngsters remain emotionally and intellectually
immature. By the time they reach 15, a significant number of
teenagers are approaching adulthood but are unable to
adequately meet the requirements and responsibilities of the
workplace, family, and neighborhood. Many suffer from health
problems, are educational under achievers, and are already
skeptical about their ability to enter the American mainstream.
In later adolescence (ages 16 to 18), youths may experience a
life crisis that famed psychologist Erik Erikson labeled the
struggle between ego identity and role diffusion. Ego identity is
formed when youths develop a full sense of the self, combining
how they see themselves and how they fit in with others. Role
diffusion occurs when they experience personal uncertainty,
spread themselves too thin, and place themselves at the mercy
of people who promise to give them a sense of identity they
cannot mold for themselves.3 Psychologists also find that late
adolescence is a period dominated by the yearning for
independence from parental domination.4 Given this explosive
mixture of biological change and desire for autonomy, it isn’t
surprising that the teenage years are a time of rebelliousness
and conflict with authority at home, at school, and in the
community.
ego identity
According to Erik Erikson, ego identity is formed when youths
develop a full sense of the self, combining how they see
themselves and how they fit in with others.
role diffusion
According to Erik Erikson, role diffusion occurs when people
spread themselves too thin, experience personal uncertainty, and
place themselves at the mercy of people who promise to give
them a sense of identity they cannot develop for themselves.
Such feelings can overwhelm young people and lead them to
consider suicide as a “solution.” Though most kids do not take
their own lives, millions are left troubled and disturbed and at
risk for delinquency, drug use, and other forms of antisocial
behavior. Acting out or externalized behavior that begins in
early adolescence may then persist into adulthood.5 In the
United States the teen suicide rate remains unacceptably high:
suicide is the third leading cause of death among young people
ages 15 to 24, averaging about 4,500 per year. According to the
Centers for Disease Control and Prevention, the top three
methods used in youth suicides are firearms (46 percent),
suffocation (37 percent), and poisoning (8 percent).6
Adolescent Problems
The population trends take on greater meaning when the special
problems of youth are considered. It may not be surprising to
some that this latest generation of adolescents has been
described as cynical and preoccupied with material acquisitions.
By age 18, American youths have spent more time in front of a
television set than in the classroom; each year they may see up
to 1,000 rapes, murders, and assaults on TV. Today’s teens are
watching racy TV shows involving humans, from Teen
Mom to Californication, and nonhumans (e.g., True Blood).
They listen to rap music, such as the classic “Candy Shop,” by
50 Cent, and “I Hit It First” by Ray J, whose sexually explicit
lyrics routinely describe substance abuse and promiscuity. How
will this exposure affect them? Should we be concerned? Maybe
we should. Research shows that kids who listen to music with a
sexual content are much more likely to engage in precocious sex
than adolescents whose musical tastes run to Katy Perry or
Adele.7
Troubles in the home, the school, and the neighborhood,
coupled with health and developmental hazards, have placed a
significant portion of American youth at risk. Youths
considered at risk are those dabbling in various forms of
dangerous conduct such as drug abuse, alcohol use, and
precocious sexuality. They are living in families that, because
of economic, health, or social problems, are unable to provide
adequate care and discipline.8
at-risk youth
Young people who are extremely vulnerable to the negative
consequences of school failure, substance abuse, and early
sexuality.
Data on population characteristics can be found at the website
of the US Census Bureau (http://www.census.gov/). For more
information about this topic, visit the Criminal Justice
CourseMate at cengagebrain.com, then access the “Web Links”
for this chapter.
Adolescent Poverty
According to the US Census Bureau, 48 million people, or one
in seven residents, live in poverty in the United States, the
highest rate since 1994. And because the government defines
poverty as $23,000 a year for a family of four, a great many
more Americans live just above the poverty line, the so-called
working poor, struggling to make ends meet.9 Today, real
incomes are falling, and poverty in the United States is more
prevalent now than in the late 1960s and early 1970s—and has
escalated rapidly since 2000. While poverty problems have risen
for nearly every age, gender, and race-ethnic group, the
increases in poverty have been most severe among the nation’s
youngest families (adults under 30), especially those with one
or more children present in the home. Since 2007, the poverty
rate has risen by 8 percent among young families with one or
more children in the home, and now rests at about 37 percent; in
1967, it stood at only 14 percent. Among young families with
children residing in the home, four of every nine are poor or
near poor, and close to two out of three are low income.10
Working hard and playing by the rules is not enough to lift
families out of poverty: even if parents work full-time at the
federal minimum wage, the family still lives in poverty.
Consequently, about 6 million children live in extreme poverty,
which means less than $10,000 for a family of four; the younger
the child, the more likely they are to live in extreme poverty.11
Which kids live in poverty? As Figure 1.1 shows, kids living in
a single-parent, female-headed household are significantly more
likely to suffer poverty than those in two-parent families.
figure 1.1: Percentage of Children Ages 0–17 Living in Poverty
by Family Structure
SOURCE: US Census Bureau, Current Population Survey,
Annual Social and Economic
Supplements, http://www.childstats.gov/americaschildren/surve
ys2.asp?popup=true#cps (accessed May 2013).
Child poverty can have long-lasting negative effects on the
children’s cognitive achievement, educational attainment,
nutrition, physical and mental health, and social behavior.
Educational achievement scores between children in affluent
and low-income families have been widening over the years,
and the incomes and wealth of families have become
increasingly important determinants of adolescents’ high school
graduation, college attendance, and college persistence and
graduation. The chances of an adolescent from a poor family
with weak academic skills obtaining a bachelor degree by his or
her mid-20s is now close to zero.12
Health and Mortality Problems
Receiving adequate health care is another significant concern
for American youth. There are some troubling signs. Recent
national estimates indicate that only about 18 percent of
adolescents meet current physical activity recommendations of
one hour of physical activity a day and only about 22 percent
eat five or more servings of fruits and vegetables per day.13
Kids with health problems may only be helped if they have
insurance. And while most kids now have health care coverage
of some sort, about 10 percent or 7.5 million youth do not.14 As
might be expected, children who are not healthy, especially
those who live in lower-income families and children from
ethnic and minority backgrounds, are subject to illness and
early mortality. Recently, the infant mortality rate rose for the
first time in more than 40 years, and is now 7 per 1,000 births.
The United States currently ranks 25th in the world among
industrialized nations in preventing infant mortality, and the
percent of children born at low birth weight has increased.15 It
remains to be seen whether the new national health care policy,
created by the Health Care and Education Reconciliation Act of
2010 (aka Obamacare) will eventually reduce or eliminate
inadequate health care for America’s children.
While infant mortality remains a problem, so do violent
adolescent deaths. More than 3,000 children and teens are killed
by firearms each year, the equivalent of 120 public school
classrooms of 25 students each. Another 16,000 children and
teens suffer nonfatal firearm injuries. Today, more preschoolers
are killed by firearms than law enforcement officers killed in
the line of duty.16
Racial Inequality
Despite years of effort to reduce racial inequality, it still
tragically exists. Minority kids are much more likely than white,
non-Hispanic children to experience poverty; proportionately,
Hispanic and black children are about three times as likely to be
poor than their white peers.17 As Figure 1.2 shows, African
American median income is significantly below that of white
and Asian families.
figure 1.2: Real Median Household Income by Race and
Hispanic Origin
SOURCE: US Census Bureau, Current Population Survey, 1968
to 2012, Annual Social and Economic
Supplements, http://www.childstats.gov/americaschildren/surve
ys2.asp?popup=true#cps (accessed May 2013).
Inequality can also be found in other elements of social life.
Educational problems are more likely to hit minority kids the
hardest. According to the nonprofit Children’s Defense Fund,
African American children are half as likely as white children
to be placed in a gifted and talented class and more than one
and a half times as likely to be placed in a class for students
with emotional disturbances. They are also more likely to face
disciplinary problems, including being two and a half times as
likely to be held back or retained in school, almost three times
as likely to be suspended from school, and more than four times
as likely to be expelled.18
Ironically, despite suffering these social and economic
handicaps, minority youth are less likely to take their own life
than white youth. However, as Exhibit 1.2 shows, they are more
likely to be victims of lethal violence.
exhibit 1.2: Race, Ethnicity, Suicide, and Violence
Note: Between 1990 and 2009, suicide was more prevalent than
homicide for non-Hispanic white juveniles, while the reverse
was true for Hispanic juveniles and non-Hispanic black
juveniles.
· At each age between 12 and 24, suicide was more common
than murder for non-Hispanic whites, in sharp contrast to
patterns for Hispanics and non-Hispanic blacks.
· For every 10 white homicide victims ages 7 to 17, there were
25 suicide victims (a ratio of 10:25); the corresponding ratio
was 10:2 for black juveniles and 10:4 for Hispanic juveniles.
· Between 1990 and 2009, the juvenile suicide rate for white
non-Hispanic youth (i.e., suicides per million for persons ages 7
to 17 in this race/ethnicity group) was 27.
· The suicide rates were substantially lower for Hispanic (17),
black non-Hispanic (16), and Asian non-Hispanic (15) juveniles
ages 7 to 17.
· In contrast, the suicide rate for American Indian juveniles
(63) was more than double the white non-Hispanic rate and
more than triple the rates for the other racial/ethnic groups.
SOURCE: OJJDP Statistical Briefing Book, March 5,
2012, http://www.ojjdp.gov/ojstatbb/victims/qa02703.asp?qaDat
e=2009 (accessed May 2013).
Self-Image Problems
Adolescents are particularly vulnerable to stress caused by a
poor self-image. According to recent surveys by the American
Psychological Association, citizens of all ages are likely to live
stress-filled lives, but children and adults alike who are obese
or overweight are more likely to feel stressed out; overweight
children are more likely to report that their parents were often
or always stressed. When asked, one-third (31 percent) of
American children report being very or slightly overweight.
These kids are more likely to report they worry a lot or a great
deal about things in their lives than children who are normal
weight (31 percent versus 14 percent). Overweight children are
also significantly more likely than normal-weight children to
report they worry about the way they look or about their weight
(36 percent versus 11 percent). Children, regardless of weight
or age, say they can tell that their parents are stressed when
they argue and complain, which many children say makes them
feel sad and worried.19
Family Problems
Divorce strikes about half of all new marriages, and many intact
families sacrifice time with each other to afford more affluent
lifestyles. Today, about 70 percent of children under age 18 live
with two married parents. Kids who live with one parent only
are much more likely to experience poverty than those living in
two-parent families. Because of family problems, children are
being polarized into two distinct economic groups: those in
affluent, two-earner, married-couple households and those in
poor, single-parent households.20
Formed in 1985, the Children’s Rights Council (CRC) is a
national nonprofit organization based in Washington, DC, that
works to assure children meaningful and continuing contact
with both their parents and extended family regardless of the
parents’ marital status. For more information about this topic,
visit their website at http://www.crckids.org or go to the
Criminal Justice CourseMate at cengagebrain.com, then access
the “Web Links” for this chapter.
Substandard Living Conditions
Millions of children now live in substandard housing—high-
rise, multiple-family dwellings—which can have a negative
influence on their long-term psychological
health.21 Adolescents living in deteriorated urban areas are
prevented from having productive and happy lives. Many die
from random bullets and drive-by shootings. Some are homeless
and living on the street, where they are at risk of drug addiction
and sexually transmitted diseases (STDs), including AIDS.
Today about one-third of US households with children have one
or more of the following three housing problems: physically
inadequate housing, crowded housing, or housing that costs
more than 30 percent of the household income.22 Despite the
fact that the minimum wage has increased to more than $6.50
per hour, the poor can barely afford to live in even the lowest-
cost neighborhoods of metro areas such as Chicago, New York,
and Washington, DC.23
Inadequate Educational Opportunity
Education shapes the personal growth and life chances of
children. Early educational experiences of young children, such
as being read to daily, encourage the development of essential
skills and prepare children for success in school. Later aspects
of academic performance, such as mastering academic subjects,
completing high school, and enrolling in college, provide
opportunities for further education and future employment.
Youths who are neither enrolled in school nor working are a
measure of the proportion of young people at risk of limiting
their future prospects.24 Although all young people face stress
in the education system, the risks are greatest for the poor,
members of racial and ethnic minorities, and recent immigrants.
By the time they reach the fourth grade, students in poorer
public schools have lower achievement scores in mathematics
than those in more affluent districts.25 According to the
watchdog group Children’s Defense Fund:
· About 70 percent of fourth-graders in our public schools
cannot read at grade level.
· Minority children are most seriously affected: almost 90
percent of black fourth-graders, 80 percent of Hispanic fourth-
graders, and 80 percent of American Indian/Alaska native
fourth-graders are not reading at grade level.26
The problems faced by kids who drop out of school do not end
in adolescence.27 Adults 25 years of age and older without a
high school diploma earn 30 percent less than those who have
earned a diploma. High school graduation is the single most
effective preventive strategy against adult poverty.
At home, poor children receive less academic support from their
harried parents. Take for instance having parents who read to
their children at home, a key to future academic success.
Although about half of all children ages 3 to 5 who are not yet
in kindergarten are read to daily by a family member, the
likelihood of having heard a story at home is stratified by class.
About two-thirds of children in families with incomes at or
above 200 percent of the poverty level are read to daily; in
contrast, less than half of children whose family falls 200
percent below the poverty level are read to at home.28
Problems in Cyberspace
Kids today are forced to deal with problems and issues that their
parents could not even dream about. While the Internet and
other technological advances have opened a new world of
information gathering and sharing, they have also brought a
basketful of new problems ranging from sexting to
cyberstalking.
Cyberbullying
Phoebe Prince, a 15-year-old Massachusetts girl, hanged herself
in a stairwell at her home after enduring months of torment by
her fellow students at South Hadley High School. Prince, who
had immigrated from Ireland, was taunted in the school’s
hallways and bombarded with vulgar insults by a pack of kids
led by the ex-girlfriend of a boy she had briefly dated. As she
studied in the library on the last day of her life, she was openly
hounded and threatened physically while other students and a
teacher looked on and did nothing. In the aftermath of her
death, prosecutors accused two boys of statutory rape and four
girls with violating Prince’s civil rights and criminal
harassment. Ironically, most of these students were still in
school, and some continued to post nasty remarks on Prince’s
memorial Facebook page after her death.29
Experts define bullying among children as repeated, negative
acts committed by one or more children against
another.30 These negative acts may be physical or verbal in
nature—for example, hitting or kicking, teasing or taunting—or
they may involve indirect actions such as manipulating
friendships or purposely excluding other children from
activities.
While in the past bullies were found in the school yard, they can
now use the Internet to harass their victims through emails or
instant messages. Physical distance is no longer a barrier to the
frequency and depth of harm doled out by a bully to his or her
victim.31 Obscene, insulting, and slanderous messages can be
posted to social media sites or sent directly to the victim via
cell phones; bullying has now morphed from the physical to the
virtual.32
Cyberbullying is the willful and repeated harm inflicted through
Internet social media sites such as Facebook, blogs, or
microblogging applications such as Twitter. Like their real-
world counterparts, cyberbullies are malicious aggressors who
seek implicit or explicit pleasure or profit through the
mistreatment of other individuals. Although power in traditional
bullying might be physical (stature) or social (competency or
popularity), online power may simply stem from Net
proficiency.
cyberbullying
Willful and repeated harm inflicted through Internet social
media sites or electronic communication methods such as
Twitter.
It is difficult to get an accurate count of the number of teens
who have experienced cyberbullying. A recent study by Justin
Patchin and Sameer Hinduja found that more than 20 percent of
the youth they surveyed reported being the target of
cyberbullying.33 As Figure 1.3 shows, adolescent girls are
significantly more likely to have experienced cyberbullying in
their lifetimes (26 percent versus 16 percent) than boys. Girls
are also more likely to report cyberbullying others during their
lifetime (21 percent versus 18 percent). The type of
cyberbullying tends to differ by gender; girls are more likely to
spread rumors while boys are more likely to post hurtful
pictures.34
figure 1.3: Cyberbullying by Gender
SOURCE: Justin Patchin and Sameer Hinduja, Cyberbullying
Research Center, http://cyberbullying.us/research.php (accessed
May 2013).
Cyberstalking
Cyberstalking refers to the use of the Internet, email, or other
electronic communications devices to stalk another person.
Some predatory adults pursue minors through online chat
rooms, establish a relationship with the child, and later make
contact. Today, Internet predators are more likely to meet and
develop relationships with at-risk adolescents, and beguile
underage teenagers, rather than use coercion and violence.35
Others, as the Cyber Delinquency feature shows, engage in a
misleading practice called catfishing: taking on a fictional
identity to lure unsuspecting kids into romantic relationships.
Sexting
Adolescents now have to worry that the compromising photos
they send their boyfriends or girlfriends—a practice called
sexting—can have terrible repercussions. In 2008, Jesse Logan,
an 18-year-old Ohio high school girl, made the mistake of
sending nude pictures of herself to her boyfriend. When they
broke up, he sent them around to their schoolmates. As soon as
the e-photos got into the hands of her classmates, they began
harassing her, calling her names and destroying her reputation.
Jesse soon became depressed and reclusive, afraid to go to
school, and in July 2008 she hanged herself in her bedroom.36
While the sexting phenomenon has garnered national attention,
there is some question as to how often teens actually engage in
the distribution of sexually compromising material. One recent
survey of 1,560 Internet users ages 10 through 17 found that
about 2.5 percent had appeared in or created nude or nearly
nude pictures or videos and that 1 percent of these images
contained sexually explicit nudity. Of the youth who
participated in the survey, 7 percent said they had received nude
or nearly nude images of others; few youth distributed these
images. It is possible that sexting is not as common as
previously believed or that it was a fad that is quickly fading.37
Are Things Improving?
Though American youth do face many hazards, there are some
bright spots on the horizon. Teenage birthrates nationwide have
declined substantially during the past decade, with the sharpest
declines among African American girls. In the same period, the
teen abortion rate has also declined. These data indicate that
more teens are using birth control and practicing safe sex.
Fewer children are being born with health risks today than in
1990. This probably means that fewer women are drinking or
smoking during pregnancy and that fewer are receiving late or
no prenatal care. In addition, since 1990 the number of children
immunized against disease has increased.
Kids are taking less risks when they ride in cars:
· From 1991 to 2011, the percentage of high school students
who never or rarely wore a seatbelt declined from 26 to 8
percent
· From 1991 to 2011, the percentage of students who rode with
a driver who had been drinking alcohol during the past 30 days
declined from 40 to 24.
· The percentage of high school students who had driven a car
during the past 30 days when they had been drinking alcohol
decreased from 17 in 1997 to 8 in 2011.38
They are also drinking less alcohol. Since 1999, the percentage
of high school students who drank alcohol during the past 30
days decreased from 50 percent to 39 percent and, since 1997,
the percentage who reported binge drinking (having 5 or more
drinks of alcohol in a row during the past 30 days) decreased
from 33 percent to 22 percent.39
More parents are reading to their children, and math
achievement is rising in grades 4 through 12. And more kids are
going to college: college enrollment is now about 21 million
and is expected to continue setting new records for the next
decade.40 Almost 30 percent of the adult population in the
United States now have college degrees.
CYBER delinquency: Catfishing
“Catfishing” refers to the practice of setting up a fictitious
online profile, most often for the purpose of luring another into
a fraudulent romantic relationship. According to The Urban
Dictionary, a catfish is “someone who pretends to be someone
they’re not using Facebook or other social media.” So, to
“catfish someone” is to set up a fake social media profile with
the goal of duping that person into falling for the false persona.
While catfishing has been around awhile, it became a topic of
public interest when Notre Dame football star Manti Te’o was
the apparent target of a catfish. Te’o developed an online
relationship with someone he knew as Lennay Kekua. It is
difficult to know how deep the relationship was, but he did refer
to her as his girlfriend and mentioned repeatedly that he loved
her. Te’o amassed a wide sympathy following when it was
learned that his grandmother and his girlfriend (Kekua) died on
the same day early in the 2012 football season. While his
grandmother did in fact die on that day, his “girlfriend” did
not—media investigations revealed that she had never existed in
the first place. Kekua was in fact a fictitious online persona
created by a friend of Te’o’s. In a statement to the press, Te’o
maintained that he was a target: “To realize that I was the
victim of what was apparently someone’s sick joke and constant
lies was, and is, painful and humiliating.”
In another case that got national attention, 13-year-old Megan
Meier began an online relationship with a boy she knew as Josh
Evans. For almost a month, Megan corresponded with this boy,
exclusively online because he said he didn’t have a phone and
was homeschooled. One day in October 2006, Megan received a
message from Josh on her MySpace profile saying, “I don’t
know if I want to be friends with you any longer because I hear
you’re not nice to your friends.” This was followed by bulletins
being posted through MySpace calling Megan “fat” and a “slut.”
After seeing the messages, Megan became distraught and ran up
to her room. A few minutes later, Megan’s mother Tina found
her hanging in her bedroom closet. Though Tina rushed her
daughter to the hospital, Megan died the next day.
Six weeks after their daughter’s death, the Meier family learned
that the boy with whom Megan had been corresponding never
existed. Josh Evans (and his online profile) was created by Lori
Drew, a neighbor and the mother of one of Megan’s friends. She
created the profile as a way to spy on what Megan was saying
about her daughter. Drew was eventually acquitted in federal
court for her role in Megan’s death.
Another, more extreme example, is the case of 18-year-old
Anthony Stancl, who in 2009 impersonated two girls (“Kayla”
and “Emily”) on Facebook. He befriended and formed online
romantic relationships with a number of boys in his high school
(again, while posing and interacting as these two girls). He then
convinced at least 31 of those boys to send him nude pictures or
videos of themselves. As if that weren’t bad enough, Stancl—
still posing as a girl and still communicating through
Facebook—tried to convince more than half to meet with a male
friend and let him perform sexual acts on them. If they refused,
“she” told them that the pictures and videos would be released
for all to see. Seven boys actually submitted to this horrific
request, and allowed Stancl to perform sex acts on them or they
performed sex acts on him. He took numerous pictures of these
encounters with his cell phone, and the police eventually found
over 300 nude images of male teens on his computer. He was
charged with five counts of child enticement, two counts of
second-degree sexual assault of a child, two counts of third-
degree sexual assault, possession of child pornography, and
repeated sexual assault of the same child, and received a 15-
year prison sentence.
The most famous case of “catfishing” involved Notre Dame’s
star linebacker Manti Te’o, shown here speaking with Katie
Couric during an interview. Te’o admitted that he briefly lied
about his fictitious online girlfriend Lennay Kekua after
discovering she didn’t exist, while maintaining that he had no
part in creating the hoax. Te’o gained the sympathy of the
nation when he was made to believe that his girlfriend had died
of cancer.
CRITICAL THINKING
Some might argue that catfishing is harmless Internet fun and
that people should know better than to enter into any significant
relationship with another person they only know digitally. Do
such thoughts make it okay to use technology to mislead
someone, and lead to a “victim-blaming” mentality? Should
people who catfish others be held criminally liable?
SOURCE: Justin Patchin, “Catfishing as a Form of
Cyberbullying,” Cyberbullying Research
Center, http://cyberbullying.us/blog/catfishing-as-a-form-of-
cyberbullying.html (accessed May 2013).
Although these are encouraging signs, the improvement of
adolescent life continues to be a national goal.
The Study of Juvenile Delinquency
The problems of youth in modern society is a major national
concern especially when they are linked to juvenile
delinquency, or criminal behavior committed by minors.
juvenile delinquency
Participation in illegal behavior by a minor who falls under a
statutory age limit.
More than 1.1 million youths are now arrested each year for
crimes ranging in seriousness from loitering to
murder.41 Though most juvenile law violations are minor, some
young offenders are extremely dangerous and violent. About
800,000 youths belong to more than 20,000 gangs in the United
States. Violent street gangs and groups can put fear into an
entire city (see Chapter 9 for more on gangs). Youths involved
in multiple serious criminal acts—referred to as lifestyle,
repeat, or chronic delinquent offenders—are now recognized as
a serious social problem. State juvenile authorities must deal
with these offenders, along with responding to a range of other
social problems, including child abuse and neglect, school
crime and vandalism, family crises, and drug abuse. The cost to
society of these high-rate offenders can be immense. In a series
of studies, Mark Cohen, Alex Piquero, and Wesley Jennings
examined the costs to society of various groups of juvenile
offenders, including high-rate chronic offenders who kept on
committing serious crimes as adults.42 They found that the
average cost for each of these offenders was over $1.5 million,
and their cost to society increased as they grew older. The
“worst of the worst” of these offenders, who committed 53
known crimes, cost society $1,696,000 by the time they reached
their mid-20s. In all, the high-rate offenders they studied had an
annual cost to society of over half a billion dollars.
chronic delinquent offenders (also known as chronic juvenile
offenders, chronic delinquents, or chronic recidivists)
Youths who have been arrested four or more times during their
minority and perpetuate a striking majority of serious criminal
acts. This small group, known as the “chronic 6 percent,” is
believed to engage in a significant portion of all delinquent
behavior; these youths do not age out of crime but continue
their criminal behavior into adulthood.
Given the diversity and gravity of these problems, there is an
urgent need for strategies to combat such a complex social
phenomenon as juvenile delinquency. But formulating effective
strategies demands a solid understanding of delinquency’s
causes and prevention. Is delinquency a function of
psychological abnormality? A collective reaction by youths
against destructive social conditions? The product of a
disturbed home life and disrupted socialization? Does serious
delinquent behavior occur only in large urban areas among
lower-class youths? Or is it spread throughout the entire social
structure? What impact do family life, substance abuse, school
experiences, and peer relations have on youth and their law-
violating behaviors? We know that most youthful law violators
do not go on to become adult criminals (what is known as
the aging-out process). Yet we do not know why some youths
become chronic delinquents whose careers begin early and
persist into their adulthood. Why does the onset of delinquency
begin so early in some children? Why does the severity of their
offenses escalate? What factors predict the persistence, or
continuation, of delinquency, and conversely, what are the
factors associated with its desistance, or termination? Unless
the factors that control the onset and termination of a delinquent
career are studied in an orderly and scientific manner,
developing effective prevention and control efforts will be
difficult.
aging-out process (also known as desistance or spontaneous
remission)
The tendency for youths to reduce the frequency of their
offending behavior as they age; aging-out is thought to occur
among all groups of offenders.
persistence
The process by which juvenile offenders persist in their
delinquent careers rather than aging out of crime.
The study of delinquency also involves analysis of the law
enforcement, court, and correctional agencies designed to treat
youthful offenders who fall into the arms of the law—known
collectively as the juvenile justice system. How should police
deal with minors who violate the law? What are the legal rights
of children? For example, should minors who commit murder
receive the death penalty? What kind of correctional programs
are most effective with delinquent youths? How useful are
educational, community, counseling, and vocational
development programs? Is it true, as some critics claim, that
most efforts to rehabilitate young offenders are doomed to
failure?43 Should we adopt a punishment or a treatment
orientation to combat delinquency, or something in between?
juvenile justice system
The segment of the justice system, including law enforcement
officers, the courts, and correctional agencies, designed to treat
youthful offenders.
The study of juvenile delinquency involves a variety of social
problems faced by adolescents. Sgt. Vincent Matranga, of the
Sacramento City Unified School District, questions Lydia
Ochoa, 15, and her boyfriend, Antonio, 17, about why the pair
are not in school, in Sacramento, California. Police teamed up
with school officials to start rounding up truants in an effort to
cut crime as well as prevent kids from dropping out. After
questioning the two juveniles, Matranga released Antonio to an
adult who confirmed he was enrolled in a home study program.
Lydia was taken to an attendance center at Luther Burbank High
School where a social worker worked with her to prevent her
from becoming one of the estimated 150,000 California students
who leave school each year without a diploma. The study of
delinquency involves such issues as devising programs to
reduce the dropout rate and determining what effect dropping
out of school has on delinquency.
In sum, the scientific study of delinquency requires
understanding the nature, extent, and cause of youthful law
violations and the methods devised for their control. We also
need to study important environmental and social issues
associated with delinquent behavior, including substance abuse,
child abuse and neglect, education, and peer relations. This text
investigates these aspects of juvenile delinquency along with
the efforts being made to treat problem youths and prevent the
spread of delinquent behavior. Our study begins with a look
back to the development of the concept of childhood and how
children were first identified as a unique group with its own
special needs and behaviors.
The Development of Childhood
The treatment of children as a distinct social group with special
needs and behavior is, in historical terms, a relatively new
concept. It is only for the past 350 years or so that any
mechanism existed to care for even the most needy children,
including those left orphaned and destitute. How did this
concept of concern for children develop?
Childhood in the Middle Ages
In Europe, during the Middle Ages (roughly 500–1500 ce), the
concept of childhood as we know it today did not exist. In
the paternalistic family of the time, the father was the final
authority on all family matters and exercised complete control
over the social, economic, and physical well-being of his wife
and children.44 Children who did not obey were subject to
severe physical punishment, even death.
paternalistic family
A family style wherein the father is the final authority on all
family matters and exercises complete control over his wife and
children.
The Lower Classes
For peasant children, the passage into adulthood was abrupt. As
soon as they were physically capable, children of all classes
were expected to engage in adult roles. Among the working
classes, males engaged in farming and/or learning a skilled
trade, such as masonry or metal-working; females aided in food
preparation or household maintenance.45 Some peasant youths
went into domestic or agricultural service on the estate of a
powerful landowner or into trades or crafts, perhaps as a
blacksmith or farrier (horseshoer).
This view of medieval childhood was shaped by Philippe Aries,
whose influential book Centuries of Childhood is considered a
classic of historical scholarship. Aries argued that most young
people were apprenticed, became agricultural or factory
workers, and generally entered adult society at a very early
age.46 According to Aries, high infant mortality rates kept
parents emotionally detached from their children. Paintings of
the time depict children as mini-adults who were sent off to
work as soon as they were capable. Western culture did not have
a sense of childhood as a distinct period of life until the very
late nineteenth and early twentieth centuries.
Though Aries’s view that children in the Middle Ages were
treated as “miniature adults” has become the standard view, in a
more recent book, historian Nicholas Orme puts forth evidence
that medieval children may have been valued by their parents
and did experience a prolonged period of childhood. In
his Medieval Children, Orme finds that the medieval mother
began to care for her children even before their delivery. Royal
ladies borrowed relics of the Virgin Mary from the church to
protect their unborn children, while poorer women used jasper
stones or drawings of the cross, which were placed across their
stomachs to ensure a healthy and uneventful birth. Parents
associated their children’s birthdays with a saint’s feast day.
Medieval children devised songs, rhymes, and games. Some
simple games made use of cherry pits or hazelnuts, but children
also had toys, which included dolls and even mechanical toys
made for royalty.47
As soon as they were physically capable, children of the Middle
Ages were expected to engage in adult roles. Young girls
worked as maids and housekeepers and at such tasks as food
preparation, clothes washing, and household maintenance. Boys
worked on farms and performed such tasks as blacksmith or
farrier (horseshoer).
Children of the Nobility
Though their lives were quite different, children of the affluent,
landholding classes also assumed adult roles at an early age.
Girls born into aristocratic families were educated at home and
married in their early teens. A few were taught to read, write,
and do sufficient mathematics to handle household accounts in
addition to typical female duties such as supervising servants
and ensuring the food supply of the manor.
At age 7 or 8, boys born to landholding families were either
sent to a monastery or cathedral school to be trained for lives in
the church or selected to be a member of the warrior class and
sent to serve a term as a squire—an apprentice and assistant to
an experienced knight. At age 21, young men of the knightly
classes completed their term as squire, received their own
knighthood, and returned home to live with their parents. Most
remained single because it was widely believed there should be
only one married couple residing in a manor or castle. To pass
the time and maintain their fighting edge, many young knights
entered the tournament circuit, engaging in melees and jousts to
win fame and fortune. Upon the death of their fathers, young
nobles assumed their inherited titles, married, and began their
own families.
The customs and practices of the time helped shape the lives of
children and, in some instances, greatly amplified their
hardships and suffering. Primogeniture required that the oldest
surviving male child inherit family lands and titles. He could
then distribute them as he saw fit to younger siblings. There
was no absolute requirement, however, that portions of the
estate be distributed equally; many youths who received no
lands were forced to enter religious orders, become soldiers, or
seek wealthy patrons. Primogeniture often caused intense family
rivalry that led to blood feuds and tragedy.
primogeniture
During the Middle Ages, the right of firstborn sons to inherit
lands and titles, leaving their brothers the option of a military
or religious career.
Dower
The dower system mandated that a woman’s family bestow
money, land, or other wealth (called a dowry) on a potential
husband or his family in exchange for his marriage to her. In
return, the young woman received a promise of financial
assistance, called a jointure, from the groom’s family. Jointure
provided a lifetime income if a wife outlived her mate. The
dower system had a significant impact on the role of women in
medieval society and consequently on the role of children.
Within this system, a father or male guardian had the final say
in his daughter’s choice of marital partner, as he could threaten
to withhold her dowry. Some women were denied access to
marriage simply because of their position in the family.
A father with many daughters and few sons might find himself
financially unable to obtain suitable marriages for them.
Consequently, the youngest girls in many families were forced
either to enter convents or stay at home, with few prospects for
marriage and family.
The dower system had far-reaching effects on the position of
women in society, forcing them into the role of second-class
citizens dependent upon their fathers, brothers, and guardians. It
established a pattern in which females who did not conform to
what males considered to be acceptable standards of feminine
behavior could receive harsh sanctions; it established a sexual
double standard that in part still exists today.
Childrearing
The harshness of medieval life influenced childrearing practices
during the fifteenth and sixteenth centuries. For instance,
newborns were almost immediately handed over to wet nurses,
who fed and cared for them during the first two years of their
life. These women often lived away from the family so that
parents had little contact with their children. Even the
wealthiest families employed wet nurses, because it was
considered demeaning for a noblewoman to nurse. Wrapping a
newborn entirely in bandages, or swaddling, was a common
practice. The bandages prevented any movement and enabled
the wet nurse to manage the child easily. This practice was
thought to protect the child, but it most likely contributed to
high infant mortality rates because the child could not be kept
clean.
swaddling
The practice during the Middle Ages of completely wrapping
newborns in long bandage-like cloths in order to restrict their
movements and make them easier to manage.
Discipline was severe during this period. Young children of all
classes, both peasant and wealthy, were subjected to stringent
rules and regulations. They were beaten severely for any sign of
disobedience or ill temper. Many children of this time would be
considered abused by today’s standards. The relationship
between parent and child was remote. Children were expected to
enter the world of adults and to undertake responsibilities early
in their lives, sharing in the work of siblings and parents.
Children thought to be suffering from disease or retardation
were often abandoned to churches, orphanages, or foundling
homes.48
The roots of the impersonal relationship between parent and
child can be traced to high mortality rates, which made
sentimental and affectionate relationships risky. Parents were
reluctant to invest emotional effort in relationships that could
so easily be terminated by violence, accidents, or disease. Many
believed that children must be toughened to ensure their
survival in a hostile world. Close family relationships were
viewed as detrimental to this process. Also, because the oldest
male child was viewed as the essential player in a family’s well-
being, younger male and female siblings were considered
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx
SCOPING REVIEW Open AccessThe perspective of gender on the.docx

More Related Content

Similar to SCOPING REVIEW Open AccessThe perspective of gender on the.docx

Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...
Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...
Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...Shannon Laratonda MHS
 
Helping professional’s perception of the welfare
Helping professional’s perception of the welfareHelping professional’s perception of the welfare
Helping professional’s perception of the welfareAlexander Decker
 
Journal of Aging and Health24(8) 1399 –1420© The Author(.docx
Journal of Aging and Health24(8) 1399 –1420© The Author(.docxJournal of Aging and Health24(8) 1399 –1420© The Author(.docx
Journal of Aging and Health24(8) 1399 –1420© The Author(.docxchristiandean12115
 
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docx
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docxhttpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docx
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docxpauline234567
 
The Outbreak Of The Measles
The Outbreak Of The MeaslesThe Outbreak Of The Measles
The Outbreak Of The MeaslesJessica Lopez
 
Epidemiology Paper
Epidemiology PaperEpidemiology Paper
Epidemiology PaperPaula Smith
 
Introduction to Epidemiology
Introduction to EpidemiologyIntroduction to Epidemiology
Introduction to EpidemiologyAya Mohamed
 
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docx
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docxIHP 501 Module Five Project Preparation WorksheetPrecious Te.docx
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docxpauline234567
 
A Review on the Concept (Challenges and Opportunities) of One Health Approach...
A Review on the Concept (Challenges and Opportunities) of One Health Approach...A Review on the Concept (Challenges and Opportunities) of One Health Approach...
A Review on the Concept (Challenges and Opportunities) of One Health Approach...BRNSSPublicationHubI
 
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...Global Risk Forum GRFDavos
 

Similar to SCOPING REVIEW Open AccessThe perspective of gender on the.docx (12)

Research Proposal
Research ProposalResearch Proposal
Research Proposal
 
Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...
Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...
Influence of Risk Factors on HPV, Pap smear Abnormalities, Cervical Intraepit...
 
Helping professional’s perception of the welfare
Helping professional’s perception of the welfareHelping professional’s perception of the welfare
Helping professional’s perception of the welfare
 
Journal of Aging and Health24(8) 1399 –1420© The Author(.docx
Journal of Aging and Health24(8) 1399 –1420© The Author(.docxJournal of Aging and Health24(8) 1399 –1420© The Author(.docx
Journal of Aging and Health24(8) 1399 –1420© The Author(.docx
 
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docx
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docxhttpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docx
httpsezproxy.snhu.eduloginurl=httpssearch.ebscohost.com.docx
 
The Outbreak Of The Measles
The Outbreak Of The MeaslesThe Outbreak Of The Measles
The Outbreak Of The Measles
 
Epidemiology Paper
Epidemiology PaperEpidemiology Paper
Epidemiology Paper
 
Introduction to Epidemiology
Introduction to EpidemiologyIntroduction to Epidemiology
Introduction to Epidemiology
 
MHSP_2016
MHSP_2016MHSP_2016
MHSP_2016
 
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docx
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docxIHP 501 Module Five Project Preparation WorksheetPrecious Te.docx
IHP 501 Module Five Project Preparation WorksheetPrecious Te.docx
 
A Review on the Concept (Challenges and Opportunities) of One Health Approach...
A Review on the Concept (Challenges and Opportunities) of One Health Approach...A Review on the Concept (Challenges and Opportunities) of One Health Approach...
A Review on the Concept (Challenges and Opportunities) of One Health Approach...
 
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...
Gender Issues in Human, Animal and Plant Health Using a Broad One Health Pers...
 

More from jeffsrosalyn

Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docx
Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docxProblem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docx
Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docxjeffsrosalyn
 
Problem 8-2B(a) Journalize the transactions, including explanation.docx
Problem 8-2B(a) Journalize the transactions, including explanation.docxProblem 8-2B(a) Journalize the transactions, including explanation.docx
Problem 8-2B(a) Journalize the transactions, including explanation.docxjeffsrosalyn
 
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docx
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docxProblem 14-4AFinancial information for Ernie Bishop Company is pre.docx
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docxjeffsrosalyn
 
Problem and solution essay  about the difficulties of speaking Engli.docx
Problem and solution essay  about the difficulties of speaking Engli.docxProblem and solution essay  about the difficulties of speaking Engli.docx
Problem and solution essay  about the difficulties of speaking Engli.docxjeffsrosalyn
 
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docx
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docxproblem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docx
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docxjeffsrosalyn
 
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docx
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docxProblem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docx
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docxjeffsrosalyn
 
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docx
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docxProblem 1-4A (Part Level Submission)Matt Stiner started a delivery.docx
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docxjeffsrosalyn
 
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docx
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docxPROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docx
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docxjeffsrosalyn
 
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docx
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docxProblem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docx
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docxjeffsrosalyn
 
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docx
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docxProblem 13-6AIrwin Corporation has been authorized to issue 20,80.docx
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docxjeffsrosalyn
 
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docx
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docxProblem 1-2A (Part Level Submission)On August 31, the balance sh.docx
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docxjeffsrosalyn
 
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docx
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docxProblem 1-2A (Part Level Submission)On August 31, the balance shee.docx
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docxjeffsrosalyn
 
Prior to posting in this discussion, completeThe Parking Garage.docx
Prior to posting in this discussion, completeThe Parking Garage.docxPrior to posting in this discussion, completeThe Parking Garage.docx
Prior to posting in this discussion, completeThe Parking Garage.docxjeffsrosalyn
 
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docx
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docxPrior to engaging in this discussion, read Chapters 10 and 11 in y.docx
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docxjeffsrosalyn
 
Privacy in a Technological AgePrivacy protection is a hot top.docx
Privacy in a Technological AgePrivacy protection is a hot top.docxPrivacy in a Technological AgePrivacy protection is a hot top.docx
Privacy in a Technological AgePrivacy protection is a hot top.docxjeffsrosalyn
 
Privacy Introduction Does the technology today Pene.docx
Privacy Introduction Does the technology today Pene.docxPrivacy Introduction Does the technology today Pene.docx
Privacy Introduction Does the technology today Pene.docxjeffsrosalyn
 
Prisoner rights in America are based largely on the provisions of th.docx
Prisoner rights in America are based largely on the provisions of th.docxPrisoner rights in America are based largely on the provisions of th.docx
Prisoner rights in America are based largely on the provisions of th.docxjeffsrosalyn
 
Principles of Supply and Demanda brief example of supply and deman.docx
Principles of Supply and Demanda brief example of supply and deman.docxPrinciples of Supply and Demanda brief example of supply and deman.docx
Principles of Supply and Demanda brief example of supply and deman.docxjeffsrosalyn
 
Primary Task Response Within the Discussion Board area, write 300.docx
Primary Task Response Within the Discussion Board area, write 300.docxPrimary Task Response Within the Discussion Board area, write 300.docx
Primary Task Response Within the Discussion Board area, write 300.docxjeffsrosalyn
 
Pretend you are a British government official during the time leadin.docx
Pretend you are a British government official during the time leadin.docxPretend you are a British government official during the time leadin.docx
Pretend you are a British government official during the time leadin.docxjeffsrosalyn
 

More from jeffsrosalyn (20)

Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docx
Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docxProblem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docx
Problem 7.  Dollars for WaitingJeffrey Swift has been a messenger.docx
 
Problem 8-2B(a) Journalize the transactions, including explanation.docx
Problem 8-2B(a) Journalize the transactions, including explanation.docxProblem 8-2B(a) Journalize the transactions, including explanation.docx
Problem 8-2B(a) Journalize the transactions, including explanation.docx
 
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docx
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docxProblem 14-4AFinancial information for Ernie Bishop Company is pre.docx
Problem 14-4AFinancial information for Ernie Bishop Company is pre.docx
 
Problem and solution essay  about the difficulties of speaking Engli.docx
Problem and solution essay  about the difficulties of speaking Engli.docxProblem and solution essay  about the difficulties of speaking Engli.docx
Problem and solution essay  about the difficulties of speaking Engli.docx
 
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docx
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docxproblem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docx
problem 8-6 (LO 4) Worksheet, direct and indirect holding, interco.docx
 
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docx
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docxProblem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docx
Problem 4-5ADevine Brown opened Devine’s Carpet Cleaners on March .docx
 
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docx
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docxProblem 1-4A (Part Level Submission)Matt Stiner started a delivery.docx
Problem 1-4A (Part Level Submission)Matt Stiner started a delivery.docx
 
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docx
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docxPROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docx
PROBLEM 5-5BPrepare a correct detailed multiple-step income stat.docx
 
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docx
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docxProblem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docx
Problem 12-9ACondensed financial data of Odgers Inc. follow.ODGE.docx
 
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docx
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docxProblem 13-6AIrwin Corporation has been authorized to issue 20,80.docx
Problem 13-6AIrwin Corporation has been authorized to issue 20,80.docx
 
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docx
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docxProblem 1-2A (Part Level Submission)On August 31, the balance sh.docx
Problem 1-2A (Part Level Submission)On August 31, the balance sh.docx
 
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docx
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docxProblem 1-2A (Part Level Submission)On August 31, the balance shee.docx
Problem 1-2A (Part Level Submission)On August 31, the balance shee.docx
 
Prior to posting in this discussion, completeThe Parking Garage.docx
Prior to posting in this discussion, completeThe Parking Garage.docxPrior to posting in this discussion, completeThe Parking Garage.docx
Prior to posting in this discussion, completeThe Parking Garage.docx
 
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docx
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docxPrior to engaging in this discussion, read Chapters 10 and 11 in y.docx
Prior to engaging in this discussion, read Chapters 10 and 11 in y.docx
 
Privacy in a Technological AgePrivacy protection is a hot top.docx
Privacy in a Technological AgePrivacy protection is a hot top.docxPrivacy in a Technological AgePrivacy protection is a hot top.docx
Privacy in a Technological AgePrivacy protection is a hot top.docx
 
Privacy Introduction Does the technology today Pene.docx
Privacy Introduction Does the technology today Pene.docxPrivacy Introduction Does the technology today Pene.docx
Privacy Introduction Does the technology today Pene.docx
 
Prisoner rights in America are based largely on the provisions of th.docx
Prisoner rights in America are based largely on the provisions of th.docxPrisoner rights in America are based largely on the provisions of th.docx
Prisoner rights in America are based largely on the provisions of th.docx
 
Principles of Supply and Demanda brief example of supply and deman.docx
Principles of Supply and Demanda brief example of supply and deman.docxPrinciples of Supply and Demanda brief example of supply and deman.docx
Principles of Supply and Demanda brief example of supply and deman.docx
 
Primary Task Response Within the Discussion Board area, write 300.docx
Primary Task Response Within the Discussion Board area, write 300.docxPrimary Task Response Within the Discussion Board area, write 300.docx
Primary Task Response Within the Discussion Board area, write 300.docx
 
Pretend you are a British government official during the time leadin.docx
Pretend you are a British government official during the time leadin.docxPretend you are a British government official during the time leadin.docx
Pretend you are a British government official during the time leadin.docx
 

Recently uploaded

Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxRosabel UA
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Projectjordimapav
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operationalssuser3e220a
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptshraddhaparab530
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataBabyAnnMotar
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 

Recently uploaded (20)

Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Presentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptxPresentation Activity 2. Unit 3 transv.pptx
Presentation Activity 2. Unit 3 transv.pptx
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Project
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operational
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.ppt
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped data
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 

SCOPING REVIEW Open AccessThe perspective of gender on the.docx

  • 1. SCOPING REVIEW Open Access The perspective of gender on the Ebola virus using a risk management and population health framework: a scoping review Miriam N. Nkangu1*, Oluwasayo A. Olatunde2 and Sanni Yaya3 Abstract Background: In the three decades since the first reported case of Ebola virus, most known index cases have been consistently traced to the hunting of “bush meat”, and women have consistently recorded relatively high fatality rates in most catastrophic outbreaks. This paper discusses Ebola-related risk factors, which constantly interact with cultural values, and provides an insight into the link between gender and the risk of contracting infectious diseases, using Ebola virus as an example within Africa. Method: A comprehensive search of the literature was conducted using the PubMed, Ovid Medline and Global Health CABI databases as well as CAB Abstracts, including gray literature. We used a descriptive and sex- and gender-based analysis to revisit previous studies on Ebola outbreaks since 1976 to 2014, and disaggregated the cases and fatality rates according to gender and the sources of known index cases based on available data. Results: In total, approximately 1530 people died in all previous Ebola outbreaks from 1976 to 2012 compared
  • 2. with over 11,310 deaths from the 2014 outbreak. Women’s increased exposure can be attributed to time spent at home and their responsibility for caring for the sick, while men’s increased vulnerability to the virus can be attributed to their responsibility for caring for livestock and to time spent away from home, as most known sources of the index cases have been infected in the process of hunting. We present a conceptual model of a circle of interacting risk factors for Ebola in the African context. Conclusion: There is currently no evidence related to biological differences in female or male sex that increases Ebola virus transmission and vulnerability; rather, there are differences in the level of exposure between men and women. Gender is therefore an important risk factor to consider in the design of health programs. Building the capacity for effective risk communication is a worthwhile investment in public and global health for future emergency responses. Keywords: Ebola, Gender and Ebola virus disease, Global health, Women and Ebola virus disease, Women and care giving roles, Ebola and hunting of bush meat, men and hunting of bush meat * Correspondence: [email protected] 1School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, 451 Smyth Road, RM 2016, Ottawa K1H 8M5, Canada Full list of author information is available at the end of the article © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
  • 3. (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 DOI 10.1186/s40249-017-0346-7 http://crossmark.crossref.org/dialog/?doi=10.1186/s40249-017- 0346-7&domain=pdf mailto:[email protected] http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/publicdomain/zero/1.0/ Multilingual abstract Please see Additional file 1 for translations of the abstract into five official working languages of the United Nations. Background Gender is a determinant of health that has been given relatively little attention in medicine and in the design of national and global health programs [1]. When gender is considered, it is most often from the perspective of women rather than both men and women. It is therefore important to distinguish between gender and sex, as both terms have been used inappropriately in the lite- rature [1, 2]. Sex refers to the biological characteristics of men and women, while gender denotes the socially constructed characteristics of men and women, which are attributed to a specific culture and context and change over time [1–4]. In the context of Ebola, sex-
  • 4. disaggregated data serve to analyze gender as a deter- minant of health but could also help stimulate ideas on incorporating gender into health planning and interven- tion programs for the utilization of health services. This is particularly important as Ebola-related risk factors are associated with specific gender roles and therefore inter- act with cultural values within the African context. In defining gender-related differences, the World Health Organization (WHO) describes how gender roles “influence where men and women spend their time, and the infectious agents they come into contact with, as well as the nature of exposure, its frequency and its in- tensity,” and “differences influence the course and out- come of disease for those who have been infected” [4]. The WHO further highlights common differences in gender roles that influence exposure patterns, including the following: (i) time spent at home and away from home; (ii) responsibility for caring for the sick; (iii) re- sponsibility for caring for livestock; (iv) access to health- care; and (v) scientific knowledge about treatment [4]. These gender differences and their association with Ebola-related risk factors are discussed at the end of this paper to connect gender and Ebola disease in Africa. Fruit bats are thought to be the primary host of the Ebola virus [5], and most sources of known index cases of Ebola since the first outbreak in 1976 have been con- sistently traced to exposure to “bush meat” [5]. Bush meat is encountered across most parts of Africa and refers to wild animals in the forest or non-domestic ani- mals. Examples of such wild animals include the follow- ing: gorillas, chimpanzees, forest antelopes (duikers), porcupines, and crocodiles. The first known case of Ebola outbreak in Yambuku, Democratic Republic of Congo (DRC), was a 44-year-old male teacher known to
  • 5. have purchased fresh and smoked antelope and monkey (bush meat) approximately 50 km north of Yambuku and had also eaten stewed antelope [6]. Thus, this paper uses the term “bush meat” to reflect the local reality and culture. The hunting of bush meat is an occupation and an activity that is culturally associated with men within the African context. Hence, bush meat is a source of protein and is also considered a source of income and livelihood. Moreover, the consumption of bush meat is not linked to differences in socio- economic status in Africa. Women are typically considered the primary care- givers during illness. In their attempt to fulfill their gen- der roles, women are more inclined to nurse children and care for their sick husbands, sisters, and brothers as well as their entire support network. Fulfilling these duties becomes a responsibility for women. In contrast, it is uncommon for men to take care of their wives or children when they are ill, as this role is often assumed by other family members or children if they are of “rea- sonable age”. Given that women are at higher risk of exposure due to their gender roles, their support net- work is also at risk. This paper uses a sex- and gender- based analysis approach [2] as well as a risk management and population health framework developed by Krewski et al. (2007) (see Fig. 1) to categorize gender-associated risk factors. In addition, we present a conceptual analysis of a circle of interacting risk factors which illustrate how gender-related risk factors interact with cultural values (see Fig. 2). Given that not all risk can be managed at the domestic level and because risk assessment informs subsequent risk management, this paper will direct and inform health authorities and global health policy- makers regarding how to consider gender when planning
  • 6. for and managing future Ebola outbreaks. Thus, the ob- jective of this study was to provide insight into the link between gender and the risk of contracting infectious diseases using Ebola virus as an example within Africa. Methods We used a descriptive and sex- and gender-based ana- lysis (SGBA) to revisit previous studies on Ebola out- breaks since 1976. A sensitive and comprehensive search of the literature was conducted in the PubMed, Ovid Medline, and Global health CAB databases, as well as the gray literature. Ovid Medline and Global Health CAB were searched using the following MeSH terms: “Ebola hemorrhagic fever,” “Ebola,” “sex,” “male and female,” “gender,” and “viral hemorrhagic fever.” After this initial pilot search, which yielded 679 publi- cations, we excluded the term “viral hemorrhagic fever,” which was the index term used from 1978 to 1995 in MEDLINE, because of noise. We retained 469 pu- blications and 39 publications were included in the final review (see supplemental for details). All titles and abstracts were screened to identify original articles that Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 2 of 9 Fig. 1 An integrated framework for risk management and population health,Krewski et al. (2007). Reproduce with Permission from Taylor and Francis Group. Ref.P062817–01.. Source: Daniel Krewski, Victoria Hogan, Michelle C. Turner, Patricia L. Zeman, Ian McDowell, Nancy Edwards and Joseph Losos. “An Integrated Framework for Risk Management and Population Health,” Human and Ecological Risk Assessment: An
  • 7. International Journal, 2007, 13, (6) Fig. 2 Gender roles as risk factors and cultural values- a circle of interacting risk factors [42] Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 3 of 9 reported the outcomes of actual human Ebola out- breaks, including confirmed cases, case fatality rates, and/or sex or gender. The search was extended by inspecting the references of selected articles. We reviewed Ebola outbreaks from 1976 to 2014 and disag- gregated the cases and fatality rates according to sex; we also identified the sources of known index cases based on available data. We employed the population health risk management framework described by Krewski et al. (2007) to characterize the risk. The framework illustrates how “population health enhances health through multiple interventions by modifying health determinants and the interactions among them, whereas risk management strives for risk avoidance by mitigating exposure to in- dividual risk factors that can lead to adverse health out- comes” [7]. We used the risk assessment component of the framework to explore reported risk factors for Ebola and to inform risk management and planning. As such, we emphasize social and behavioral conside- rations and present the concept of a “circle of interac- ting risk factors”. Finally, we discuss the relevance of the advisory and community components of the risk management aspects of the framework and highlight the importance of effective risk communication as a
  • 8. tool in this context. Results In total, approximately 1530 people died in all Ebola outbreaks from 1976 to 2012, compared with over 11,310 deaths in the 2014 outbreak (data as of April 2016) [8]. Since the first outbreak in 1976, all the sources of known index cases of Ebola (see Table 1) have been traced to the hunting of bush meat or exposure to dead animals in the rainforest [5]. A relatively high fata- lity rate has been consistently recorded among women in most of the catastrophic outbreaks [4, 6, 9]. In the 1976 outbreak in the DRC, the mortality rate was 56% among women and 44% in men [6]. Similarly, of the 315 cases reported in a 1995 nosocomial outbreak, 53% were in women, and 47% were in men [9]. In the 2014 out- break, more cases were recorded among women than men [8, 10]. In Nigeria, women accounted for 55% of the cases, and men accounted for the remaining 45% [11]. Gender, household, and hospital transmission A systematic review conducted by Brainard et al. (2016) found the risk of transmission to be higher for those caring for the sick at home (unadjusted PPR 13.33, 95% CI: 3.2–55.6). In most Ebola outbreaks, the transmis- sion rate has been higher in households than in hospi- tals, [9, 12–14]. For example, in the 1976 outbreak in Sudan (Nzara and Maridi), 58% of infections were traced to household contacts, and 35% were traced to hospital settings [12]. A study conducted by the WHO in 2007 re- ported a predominance of men in the early stages of the 2001–2002 outbreaks in Gabon and Congo, whereas women outnumbered men during the later stages of the outbreaks. In contrast, in the 2000–2001 outbreak in Uganda, the number of female cases exceeded the number
  • 9. of male cases throughout the outbreak [4]. These trends are not well understood [4]. In a recent study conducted by the WHO Ebola response team to assess sex differ- ences among 20,035 cases reported in the three most af- fected countries (Guinea, Liberia, and Sierra Leone) during the 2014 outbreak, females and males had a similar average risk of contracting the virus [10]. Although the frequency of exposure were higher among women than men (34.3%, 95% CI: 33.4–35.2 vs. 30.7%, 95% CI: 29.8– 31.7; P < 0.001), and women reported more exposure dur- ing funerals than men, female patients had a higher sur- vival than male patients, and the odds of death were lower for females than for males after adjusting for age (OR: 0.83, 95% CI: 0.76–0.91) (see ref. [10], supplemental appendix) [10]. Francesconi et al. (2003) also found that neither age (> 30 years vs. ≤ 30 years: prevalence propor- tion ratio (PPR) = 1.38, 95% CI: 0.64–2.97) nor sex (female vs. male: PPR = 1.54, 95% CI: 0.66–3.60) was significantly associated with the risk of contracting Ebola [15]. Simi- larly, the WHO Ebola response team found that exposure did not vary by age in the 2014 outbreak [10]. In the 2014 outbreak, the average interval from symptom onset to hospitalization was 0.5 days shorter in female patients than in male patients in all three of the most affected countries [10]. The proportion of male patients was not significantly different from the proportion of males in the general population of the respective countries, except for one specific district, Gueckedou (Guinea), which had a very low proportion of male patients [10], this variation was not explained. Gender roles as risk factors -a circle of interacting risk factors The circle of interacting risk factors provides insight into the interaction between Ebola risk factors and socially constructed gender roles where the direct transmission
  • 10. of Ebola virus occurs through contact with infected pa- tients, dead bodies, or bodily fluids [14, 15]. Indirect transmission may occur when sharing meals, washing clothes, sleeping in the same bed, sharing clothing, shak- ing hands, or hugging, as well as during ritual hand washing and communal meals at funerals [14–16]. Dead bodies carry a high viral load [14, 17], and cultural prac- tices associated with funerals put both men and women at high risk. Men of high societal status and those who engage in some religious practices may be required to touch dead bodies and dress them, and women may be Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 4 of 9 T a b le 1 Se x d is tr ib u ti o n o f Eb
  • 56. se s Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 5 of 9 required to bathe, dress, shave, and touch dead bodies as part of the traditional rites performed during such cere- monies [13]. Both men and women have specific cultural roles during funeral services. For example, in the out- break in Gabon in 2001–2002, women took care of the dead bodies of women, and men took care of the dead bodies of men, according to their tradition [13]. All these risk factors and related exposures interact with cultural values as shown in Fig. 2. Discussion There is currently no evidence related to biological dif- ferences in female or male sex that increases Ebola virus transmission and vulnerability; rather, there are differ- ences in the level of exposure between men and women [10, 11, 18].. Data from the 2014 outbreak (December 2013 – August 2015) suggested that female patients with confirmed Ebola were less likely to die than male pa- tients [10]. This finding is significant when considering the large number of cases in the study, which was pow- ered to detect small differences in outcomes. However, given that most of the previous outbreaks did not often report cases and fatality by sex, it is important to con- duct further research using a sex- and gender-based ana- lysis approach [2]. Gender differences that influence exposure patterns Ebola outbreaks require an emergency response, and
  • 57. pre-existing knowledge and understanding of exposure patterns and their interplay with gender-associated risk factors provide fundamental assistance with planning such a response. Below, we discuss these differences and gender-related risk factors in more detail, using available evidence to inform health policy. Responsibility of caring for livestock and time spent away from home Most known index cases in epidemiological reports have been traced to hunting of or exposure to bush meat [5]. However, there has been little effort to help those who are responsible (men) for this activity in performing their role (hunting of bush meat). Although women are sometimes involved in cross-border trading, which may increase their level of exposure and could be considered as time spent away from home, data on source of known index cases point to the importance of hunting as a cata- lyst of outbreak. There is a possible connection between patterns of time spent away from home taking care of livestock and the finding that most source of index cases have been traced to hunting. The primary healthcare (PHC) movement advocated for “community participa- tion” [1] but ignored gender roles [1, 19], and the move away from comprehensive PHC to selective PHC further hindered this goal. In line with the health in all policies approach, global response strategies should, within a specific context, identify the various high-risk groups, establish the needs of the local community, and incorp- orate these factors into health planning programs. Time spent at home and responsibility for caring for the sick The risk of transmission is found to be higher for those caring for the sick at home [14]. In the DRC outbreak in
  • 58. 1976, the high transmission rate reported in hospitals was due to the use of syringes [6]. A direct connection can be drawn between time spent at home and caring for the sick and the level of exposure and susceptibility. Women are considered caregivers and take on the role of “nurses” in their homes. They perform tasks that, to some extent, are similar to those performed by nurses in the hospital. However, nurses are trained and accredited, unlike informal caregivers, little attention is paid to in- formal caregivers when designing health programs within a specific context. This is further discussed in Table 2 using a case study in Liberia as an example. Scientific knowledge regarding treatment and access to healthcare In the absence of a licensed treatment for Ebola at the time that this paper was prepared, we use the advisory and community components of the framework by Krewski et al. Human and Ecological Risk Assessment: An Inter- national Journal (2007) to discuss the scientific knowledge and access to care in the context of Ebola, focusing on risk perception and effective risk communication. Ebola virus has always been perceived in the community as either a “mysterious illness” or “witchcraft” [6, 20]. Although risk perception by the general public has always been at odds with expert opinion [21], risk perception varies by context, gender, and level of education, all of which may also influence care-seeking behavior. There is little to no data on the level of education by gender among Table 2 The Liberian case On September 25, 2014, CNN posted on their website a story about a Liberian lady who took care of her entire family—mother,
  • 59. sister, father, and cousin—all of whom were infected. She fed and cleaned them and administered their medication all by herself. She invented her own personal protective equipment (PPE) using local materials known as “trash bags” [40] but did not get infected. Out of 4 patients she nursed, only one died. One may argue that, unlike most informal caregivers, she had some formal nursing training and knowledge, although she had not yet graduated. The focus of this example is to expand on the following: (i) to illustrate a typical example of gender-specific roles in the African context; (ii) to show how women’s role and their task as caregivers are similar, to some extent, to those of nurses in a hospital setting; and (iii) to emphasize the importance of considering these gender roles when planning and designing health programs within a specific context. http://www.cnn. com/2014/09/25/health/ebola-fatu-family/) [41]. Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 6 of 9 http://www.cnn.com/2014/09/25/health/ebola-fatu-family http://www.cnn.com/2014/09/25/health/ebola-fatu-family Ebola-infected patients or survivors. However, evidence
  • 60. from the literature indicates that risk perception varies by gender and level of education [21], both of which impact access to health services [22]. For example, in a systematic review of gender-related barriers to accessing treatment for tuberculosis (TB), an infectious disease characterized by stigmatization, Krishnan et al. (2014) found that low education in women correlated with greater fear of con- tracting TB, that men had more knowledge about TB transmission than women, and that socio-cultural norms associated with the status of men and women directly af- fected the types of barriers encountered while accessing treatment [22]. Most women in Africa, especially those who are less educated, do not feel they have the right to refuse sex once they are married, and there is little aware- ness that men can transmit the virus through semen for up to seven weeks after recovery [17, 23]. In the 1995 outbreak, some survivors accepted that Ebola is a preventable disease, and some considered it a divine punishment from God [24]. Public health messa- ging during the 2014 outbreak emphasized that “Ebola is real”, with repeated messages that “it is deadly and has no cure, no treatment, and no vaccine” [20]. While this advisory message sought to inform an “ignorant” com- munity that the disease has no cure, it may have had a perverse effect: people in the community were advised to seek immediate care in the hospital in the event of any symptoms, but they witnessed patients going into the hospital for treatment and dying. This calls to mind the work of Jardine and Hrudley (1997), who found that mixed messages in risk communication caused differ- ences in understanding and interpretation between the risk managers and the affected population [25]. Such messages may lead to differences in processing and understanding of the risk message, especially when technical or scientific terms are used, such as “no cure,
  • 61. no treatment, and no vaccine”, in addressing a lay population with multiple spoken languages and dialects. Moreover, gender differences in the use of services may arise depending on several factors: To whom and in what language is the message actually delivered? How is the message delivered? Who actually makes the decision to seek care? Who makes the decision to take a patient away from the hospital? Who actually cares for the patient? A WHO report clearly stated that “when technical interventions cross purposes with entrenched cultural practices, culture always wins” and that “by implication, control efforts should work within the culture and not otherwise” [20]. Limitations There have been discrepancies in data collection and vari- ations in data reporting across the various Ebola outbreaks that have occurred since 1976. For instance, most of the data collected did not systematically take sex and gender into consideration; thus, the data could not be disaggre- gated. This explains why some of this information is not provided in Table 1. This is in line with Harman’s explan- ation that “discrepancy over the data reported during Ebola outbreaks is problematic for the visibility of women and gender” [26]. We found that most studies did not col- lect or report information about the level of education of infected patients or survivors by gender. These data may have been collected by health authorities but were infre- quently reported in a disaggregated form in most studies. We do not report case fatality for the 2014 outbreak in Table 1 because the data were not yet available at the time of the preparation of this manuscript. We focused on gen- der roles and thus did not consider pregnancy related risk factors, which we consider to be more biological and preg- nancy does not change any aspect of gender roles. Fur-
  • 62. thermore, we did not include age, because there was no significant difference by age in disease exposure or out- comes [10, 15]. Moreover, gender roles in the African con- text do not depend on age per se but rather on whether a person is of “reasonable age” to undertake a given role. Finally, although health workers are generally at higher risk of contracting the virus, we did not discuss the impact of gender in this population and occupation. Nevertheless, it is important to note that women often comprise the majority of nurses in the hospital. Women are often given lower status and recognition, and most families prefer to train and educate male children as doctors and female children as nurses (if given the opportunity) based on per- ceived gender roles. As a consequence, women serve more often than men as frontline caregivers in the hospital. Conclusion It is important to disaggregate data by sex, which can help inform gender-related research, health planning and pol- icies. The need to build the capacity for effective risk com- munication as a worthwhile investment for both local and global public health authorities, and to understand and re- spect subtle cultural and socio-economic undertones re- lating to gender should not be undermined. The hope is that global and national health policies will better incorp- orate gender-based lessons drawn from the following: (i) the consistent tracing of the source of known index cases of Ebola to the hunting of bush meat, (ii) the high rate of transmission in the household and during burials, and (iii) gender-related differences and interaction in exposure pat- terns and risk factors. Additional file Additional file 1: Multilingual in the five official working languages of
  • 63. the United Nations. (PDF 580 kb) Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 7 of 9 dx.doi.org/10.1186/s40249-017-0346-7 Abbreviations DRC: Democratic Republic of Congo; PPR: Prevalence proportion ratio; TB: Tuberculosis; WHO: World Health Organization; ZBOV: Zaire Ebola Virus Acknowledgments The authors would like to thank their respective institutions for their support. Special thanks to Dr. Daniel Krewski, Dr. Mohamed Taher, and Dr. Carol Vlassoff for their comments on the earlier abstract, which was presented at the 22nd Canadian Conference on Global Health, Montreal, 2015. We are grateful to the Lea Cross Foundation for their conference grant that supported the presentation of the abstract at the 22nd Canadian Conference on Global Health, Montreal, 2015. Funding No funding body supported this study. Availability of data and materials Data sharing is not applicable to this article, as no datasets were generated or analyzed in the current study.
  • 64. Authors’ contributions MN conceived of the idea and drafted the methodology. MN, OAO, and SY were involved in the review of the literature and drafting of the manuscript. All authors reviewed and approved the final version of this manuscript. Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare that they have no competing interesrs. Author details 1School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, 451 Smyth Road, RM 2016, Ottawa K1H 8M5, Canada. 2Department of Family Medicine, Dalhousie University, Halifax, 208–44 Mapleton Road, Moncton NB E1C 7W8, Canada. 3School of International Development and Global Studies, University of Ottawa, 120 University, Social Sciences Building, RM 8005, Ottawa K1N 6N5, Canada. Received: 17 November 2016 Accepted: 7 August 2017 References 1. Vlassoff C, Moreno CG. Placing gender at the centre of health
  • 65. programming: challenges and limitations. Soc Sci Med. 2002;54:1713–23. 2. Johnson JL, Greaves L, Repta R. Better science with sex and gender: facilitating the use of a sex and gender-based analysis in health research. Int J Equity Health. 2009;8:14. doi:https://doi.org/10.1186/1475- 9276-8-14. 3. Verdonk P, Benschop Y, De Haes H, Lagro-Janssen T. From gender bias to gender awareness in medical education. Adv Health Sci Edu. 2009;14(1): 135–52. doi:https://doi.org/10.1007/s10459-008-9100-z. 4. WHO. Addressing sex and gender in epidemic-prone infectious diseases. 2007. http://www.who.int/csr/resources/publications/SexGenderInfect Dis. pdf(Accessed on 10 August 2016). 5. Leroy EM, Epelboin A, Mondonge V, Gonzalez JP, Muyembe-Tamfum JJ, Formenty P. Human Ebola outbreak resulting from direct exposure to fruit bats in Luebo, Democratic Republic of Congo, 2007. Vector Borne Zoonotic Dis. 2009;9(6):723–72. doi:https://doi.org/10.1089/vbz.2008.0167. 6. WHO. Ebola hemorrhagic fever 1976: report of an international commission. Bull World Health Organ. 1978;56(2):271–93.
  • 66. 7. Krewski D, Hogan V, Turner MC, Zeman PL, McDowell I, Edward N, et al. An integrated framework for risk management and population health. Hum Eco Risk Assesst:An Int J. 2007;13(6):1288–312. doi:https://doi.org/10. 1080/10807030701655798. 8. WHO. Ebola data and statistics. 2016 http://apps.who.int/gho/data/view. ebola-sitrep.ebola-summary-latest-age-sex.(Accessed on 13 August 2016). 9. Muyembe-Tamfum JJ, Kipasa M, Kiyungu C, Colebunders R. Ebola outbreak in Kikwit, Democratic Republic of the Congo: discovery and control measures. J Infect Dis. 1999;179(Suppl 1):S259–62. 10. Ebola Response Team WHO. Ebola virus disease amongst males and females persons in West Africa. N Engl J Med. 2017;374:96–8. doi:https://doi.org/10.1056/NEJMc1510305. 11. Fawole OI, Bamiselu OF, Adewuyi PA, Nguku PM. Gender dimensions to the Ebola outbreak in Nigeria. Ann Afr Med. 2016;15:7–13. 12. WHO. Ebola haemorrhagic fever in Sudan, 1976: report of a WHO/ international study team. Bull World Health Organ. 1978;56(2):247–70. 13. Nkoghe D, Formenty P, Leroy EM, Nnegue S, ObameEdou
  • 67. SY, Iba Ba J, et al. ÉpidémiologiePlusieursépidémies de fièvre hémorragique due au virus Ebola au Gabon, d’octobre 2001 a avril 2002. Bull Soc Pathol Exot. 2005;98(3):224–9. (in France) 14. Brainard J, Hooper L, Pond K, Edmunds K, Hunter PR. Risk factors for transmission of Ebola or Marburg virus disease: a systematic review and meta-analysis. Int J Epidemiol. 2016:102–16. doi:https://doi.org/10. 1093/ije/dyv307. 15. Francesconi P, Yoti Z, Declich S, Onek PA, Fabiani M, Olango J, et al. Ebola hemorrhagic fever transmission and risk factors of contacts. Uganda Emerg Infect Dis. 2003;9(11):1430–7. doi:https://doi.org/10.3201/eid0911.030339. 16. Dowell SF, Mukunu R, Ksiazek TG, Khan AS, Rollin PE, Peters CJ. Transmission of Ebola hemorrhagic fever: a study of risk factors in family members, Kikwit, democratic Repubic of the Congo, 1995. J Infect Dis. 1999;179(Suppl 1):S87–91. 17. WHO. Ebola virus disease. Fact sheet No. 103. Updated January 2016. http://www.who.int/mediacentre/factsheets/fs103/en/ (Accessed 25 August 2016). 18. Ebola Response Team WHO. Ebola virus disease in West Africa – the
  • 68. first 9 months of the epidemic and forward projections. N Engl J Med. 2014;371:1481–95. 19. Leslie J. Women’s time: a factor in the use of child survival technologies? Health Policy Plan. 1989;4:1–16. 20. WHO. Factors that contributed to undetected spread of the Ebola virus and impeded rapid containment. 2015. http://www.who.int/csr/disease/ebola/ one-yeareport/factors/en/ (Accessed on 10 July,2016). 21. Krewski D, Slovic P, Bartlett S, Flynn J, Mertz C. Health risk perception in Canada I: rating hazards, sources of information and responsibility for health protection. Hum Ecol Risk Assess: An Int J. 1995b;1(2):117–32. doi:https://doi. org/10.1080/10807039509379997. 22. Krishnan L, Akande T, Shankar AV, McintireKN GCR, Gupta A, et al. Gender- related barriers and delays in accessing Tuberclosis diagnostic and treatment services: a systematic review of qualitative studies. J Tuberc Res Treat. 2014:Article ID 215059. https://doi.org/10.1155/2014/215059 23. Thorson A, Formenty P, Lofthouse C, Broutet N. Systematic review of the literature on viral persistence and sexual transmission from recovered Ebola survivors: evidence and recommendations. BMJ. 2016:e008859.
  • 69. doi:https:// doi.org/10.1136/bmjopen-2015-008859. 24. De Roo A, Ado B, Rose B, Guimard Y, Fonck C, Colebunders R. Survey among survivors of the 1995 Ebola epidemic in Kikwit, Democratic Republic of Congo: their feelings and experiences. Tropical Med Int Health. 1998;3:883–5. 25. Jardine CG, Hrudley SE. Mixed messages in risk communication. Risk Analysi. 1997;17(4):489–98. 26. Harman S. Ebola, gender and conspicuously invisible women in global health governance. Third World Q. 2016;37(3):524–41. doi:https://doi.org/10. 1080/01436597.2015.1108827. 27. Baron RC, McCormick JB, Zubeir OA. Ebola virus disease in southern Sudan: hospital dessimination and intrafamilial spread. Bull World Health Organ. 1983;61(6):997–1003. 28. Georges AJ, Leroy EM, Renault AA, Benissan CT, Nabias RJ, Ngoe MT, et al. Ebola hemorrhagic fever outbreaks in Gabon, 1994–1997: epidemiologic and health control measures. J Infect Dis. 1999;179(Suppl 1):S65–75. 29. Roels TH, Bloom AS, Buffington J, Muhungu GL, Mac Kenzie WR, Khan AS,
  • 70. et al. Ebola hemorrhagic fever, Kikwit, Democratic Republic of the Congo, 1995: risk factors for patients without a reported exposure. J Infect Dis. 1999;179(Suppl 1):S92–7. doi:https://doi.org/10.1086/514286. 30. CDC. 2014 Ebola outbreak in West Africa-case counts. 2014. https://www. cdc.gov/vhf/ebola/outbreaks/2014-west-africa/case-counts.html (Accessed on 20 August 2016). 31. Lamunu M, Lutwama JJ, Kamugisha J, Opio A, Nambooze J, Ndayimirije N, et al. Containing a haemorrhagic fever epidemic:the Ebola experience in Uganda (October 2000-January 2001). Inter J Infect Dis. 2004;8:27–37. Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 8 of 9 32. Boumandouki P, Formenty P, Epelboin A, Campbell P, Atsangandoko C, Allarangar Y, et al. Épidémiologie. Priseen charge des malades et des défuntslors de l’épidémie de fièvre hémorragique due au virus Ebola d’octobre à décembre 2003 au Congo. Bull Soc Pathol Exot. 2005;98(3):218–23. (in France) 33. Nkoghe D, Kone ML, Yada A, Leroy E. A limited outbreak of Ebola haemorraghic fever in Etoumbi, republic of Congo, 2005. Trans
  • 71. R Soc Trop Med Hyg. 2011;105:466–72. 34. Leroy EM, Kumulungui B, Pourrut X, Rouguet P, Hassanin A, Yaba P, et al. Fruit bats as reservoirs of Ebola virus. Nature. 2005;438(7068):575–6. doi: https://doi.org/10.1038/438575a. 35. Formenty P, Libama F, Epelboin A, Allarangar Y, Leroy E, Moudzeo H, et al. Outbreak of Ebola hemorrhagic fever in the Republic of the Congo, 2003: a new strategy? Med Trop (Mars). 2003;63(3):291–5. 36. Grard G, Biek R, Muyembe-Tamfum JJ, Fair J, Wolfe N, Formenty P, et al. Emergence of divergent Zaire ebola virus strains in Democratic Republic of the Congo in 2007 and 2008. J Infect Dis. 2011;204(Suppl 3):S776–84. doi: https://doi.org/10.1093/infdis/jir364. 37. CDC. Chronology of Ebola outbreaks. 2016. http://www.Cdc.Gov/vhf/ebola/ outbreaks/history/chronology.Html (accessed on 15 august 2016). 38. Nanclares C, Kapetshi J, Lionetto F, De la Rosa N, Muyembe-Tamfun JJ, Alia M, et al. Ebola virus disease, Democratic Republic of the Congo, 2014. Emerg Infect Dis. 2016;22(9):1579–86. https://doi.org/10.3201/eid2209.160354 39. Maganga GD, Kapetshi J, Berthet N, Ilunga BK, Kabange F,
  • 72. Kingebeni PM, et al. Ebola virus diseases in Democratic Republic of Congo. N Engl J Med. 2014;371(22):2083–91. 40. Heymann DL, Weisfeld JS, Webb PA, Johnson KM, Cairns T, Berquist H. Ebola hemorrhagic fever: Tandala, Zaire, 1977–1978. J Infect Dis. 1980;142(3):372–6. 41. CNN.A one-woman hospital. http://www.cnn.com/2014/09/25/health/ebola- fatu-family/ (Accessed on 15 August 2016). 42. Nkangu M, Olatunde OA, Yaya S. A gender perspective of Ebola virus disease using a population health risk assessment framework: a review of the literature. Presented at the 22nd Canadian conference on Global Health, Montreal, 2015. http://www.csih.org/en/review2015/. • We accept pre-submission inquiries • Our selector tool helps you to find the most relevant journal • We provide round the clock customer support • Convenient online submission • Thorough peer review • Inclusion in PubMed and all major indexing services • Maximum visibility for your research Submit your manuscript at www.biomedcentral.com/submit Submit your next manuscript to BioMed Central and we will help you at every step:
  • 73. Nkangu et al. Infectious Diseases of Poverty (2017) 6:135 Page 9 of 9 AbstractBackgroundMethodResultsConclusionMultilingual abstractBackgroundMethodsResultsGender, household, and hospital transmissionGender roles as risk factors -a circle of interacting risk factorsDiscussionGender differences that influence exposure patternsResponsibility of caring for livestock and time spent away from homeTime spent at home and responsibility for caring for the sickScientific knowledge regarding treatment and access to healthcareLimitationsConclusionAdditional fileAbbreviationsFundingAvailability of data and materialsAuthors’ contributionsEthics approval and consent to participateConsent for publicationCompeting interestsAuthor detailsReferences SAVIGNAC, J. (2009). Families, youth and delinquency: The state of knowledge, and family-based juvenile delinquency programs (Research Report 2009-1). Ottawa: National Crime Prevention Centre, Public Safety Canada. Family interactions are most important during early childhood, but they can have long-lasting effects. In early adolescence, relationships with peers take on greater importance. Family structure and family functioning are two general categories under which family effects on delinquency. Increased risk of delinquency experienced among children of broken homes is related to the family conflict prior to the divorce or separation, rather than to family breakup itself (Rutter et al., 1998). · 1 Become familiar with the problems of youth in American culture · 2 Distinguish between ego identity and role diffusion · 3 Discuss the specific issues facing American youth
  • 74. · 4 Understand the concept of being “at risk” and discuss why so many kids take risks · 5 Be familiar with the recent social improvements enjoyed by American youth · 6 Discuss why the study of delinquency is so important and what this study entails · 7 Describe the life of children during feudal times · 8 Discuss the treatment of children in the seventeenth and eighteenth centuries · 9 Discuss childhood in the American colonies · 10 Know about the child savers and the creation of delinquency · 11 Discuss the elements of juvenile delinquency today · 12 Know what is meant by the term status offender chapter features cyber Delinquency: Catfishing Case profile: Aaliyah’s Story Evidence-Based Juvenile Justice—intervention: Family Key Programs KEAIRA BROWN WAS JUST 13 YEARS OLD when she was charged with murder and became the youngest person in Wyandotte County, Kansas, ever to be tried as an adult. Her family life was close but troubled. Her mother, Cheryl Brown, had three other children, two enrolled in local colleges. Keaira was involved in after-school activities, including playing the violin. But when her mom went to prison on a drug charge, things began to spiral downhill for Keaira, and when she was only 10 she attempted suicide. On July 23, 2008, at about 4:00 PM, Keaira was supposed to be at a summer program at the Boys and Girls Club in Kansas City. Instead, she was involved in the carjacking of Scott Sappington, Jr., a junior at Sumner Academy, who had just dropped his siblings off at their grandmother’s house. When he returned to his car, neighbors heard him yell, “Hey, hey,” then there was a struggle inside the car, and he was shot in the head. An investigation led to a 6- year-old who told police that a young girl told a group of
  • 75. children to get rid of her bloody clothes. Police distributed pictures of the bloody clothes to the media, and soon after, the clothes were traced back to Keaira Brown. Prosecutors thought the murder was a result of a carjacking that went wrong, while Keaira’s family claimed she was an innocent pawn for area gang members who thought she would not be prosecuted because of her age. They were incorrect. In April, almost a year after the crime, a Wyandotte County judge ruled that Keaira should face trial as an adult. On November 9, 2010, Keaira Brown was found guilty of first-degree murder and attempted aggravated robbery. She will have to serve 20 years before being eligible for parole. Stories such as that of Keaira Brown are certainly not unique. While the Supreme Court ruled in Roper v. Simmons that juveniles cannot be sentenced to the death penalty, it is quite legal to incarcerate them in adult prison for life if they commit a capital crime, as long as the judge takes age into account before sentencing takes place (Miller v. Alabama).1 So Keaira, who was 13 years old at the time she committed her crime, may spend the rest of her life behind bars. Roper v. Simmons A juvenile under 18 years of age who commits a capital crime cannot face the death penalty. Miller v. Alabama In this case, the Supreme Court held that mandatory life sentences, without the possibility of parole, are unconstitutional for juvenile offenders. The problems of youth in contemporary society can be staggering. Because of trouble and conflict occurring in their families, schools, and communities, adolescents experience stress, confusion, and depression. There are approximately 75 million children in the United States, a number that is projected to increase to about 85 million by 2025.2 Since the mid-1960s, children have been decreasing as a proportion of the total US population, so today 24 percent of the population are 18 and
  • 76. under, down from a 1964 peak of 36 percent at the end of the so-called baby boom. Children are projected to remain a fairly stable percentage, about 23 percent, of the total population through 2050. Though the number of children is projected to remain stable, racial and ethnic diversity is growing, so that the population is projected to become even more diverse in the decades to come. In 2023, less than half of all children are projected to be white, non-Hispanic; by 2050, 38 percent of children are projected to be white, non-Hispanic, down from 55 percent today. The mission of the Children’s Defense Fund (http://www.childrensdefense.org/) is to “leave no child behind” and to ensure every child “a healthy start, a head start, a fair start, a safe start, and a moral start in life,” as well as a successful passage to adulthood with the help of caring families and communities. The CDF tries to provide a strong, effective voice for kids who cannot vote, lobby, or speak for themselves. For more information about this topic, visit the Criminal Justice CourseMate at cengagebrain.com, then access the “Web Links” for this chapter. During the baby boom (1946–1964), the number of children grew rapidly (see Exhibit 1.1). Now as the baby boomers enter their senior years, their needs for support and medical care will increase. At the same time, a significant number of kids who are poor and at risk for delinquency and antisocial behavior will need both private and public assistance and aid. While the number of poor kids and the elderly will be rising, the 30- to 50-year-old population who will be expected to care and pay for these groups will constitute a much smaller share of the population. exhibit 1.1: Six Generations of Americans The Greatest Generation: Born after World War I and raised during the Depression, they overcame hardships, fought in World War II, and went on to build America into the world’s greatest superpower. They were willing to put off personal gain for the common good.
  • 77. Baby Boomers: Born between the end of World War II and the Kennedy-Johnson years, and now approaching retirement age, “boomers” are considered a generation who have benefited the most from the American Dream and postwar leadership. Their parents, who grew up during the Great Depression, made sure their children had the best of everything. Baby boomers benefited from affordable college and post-graduate education, relatively low housing costs, and plentiful job opportunities. Though they experienced some significant setbacks, such as the war in Viet Nam, they were a privileged generation that has been accused of being self-absorbed and materialistic. Generation X: Born between 1963 and 1980 and now approaching 50, Gen-Xers are often accused of being unfocused and uncommitted—the “why me?” generation. Coming of age between 1980 and 1990, when divorce was rampant and greed was good, they are not attached to careers or families. They lived through the 1990s, a time with significant social problems, including teen suicide, homelessness, the AIDS epidemic, a downsizing of the workforce, and overseas conflict. Generation X is described as pessimistic, suspicious, and frustrated slackers who wear grunge clothing while listening to alternative music after they move back home with their parents. They do not want to change the world, just make their way in it and through it without complications. Generation Y: Born between 1981 and 1994, Gen Y kids were deeply influenced by the 9/11 attacks and as a result are more patriotic than their older peers. They were weaned on reality TV and are sometimes called the MTV generation. Compared to their elders, Gen Y kids are incredibly sophisticated technologically. Gen Y members live in a world that is much more racially and ethnically diverse than their parents, and most are willing to accept diversity. Their worldview is aided by the rapid expansion in cable TV channels, satellite radio, the Internet, e-zines, etc. They may have lived in families with either a single caretaker or two working parents. Members of Generation Y are often accused of being self-centered,
  • 78. irresponsible, and having a lack of understanding of how the work world functions. Generation Z: Born between 1995 and 2009, they are the first generation to have grown up in a world dominated by the Internet and instant communication; iPads, group video games, texting, and tweeting are their milieu. Will this next generation have the same opportunities as their grandparents in a global economy in which the United States is competing with other powerful nations for dominance? Generation Alpha: Born after 2012, it’s just too early to tell. The Adolescent Dilemma As they go through their tumultuous teenage years, the problems of American society and the daily stress of modern life have a significant effect on our nation’s youth. Adolescence is unquestionably a time of transition. During this period, the self, or basic personality, is still undergoing a metamorphosis and is vulnerable to a host of external determinants as well as internal physiological changes. Many youths become extremely vulnerable to emotional turmoil and experience anxiety, humiliation, and mood swings. Adolescents also undergo a period of biological development that proceeds at a far faster pace than at any other time in their lives except infancy. Over a period of a few years, their height, weight, and sexual characteristics change dramatically. The average age at which girls reach puberty today is 12.5 years; 150 years ago, girls matured sexually at age 16. But although they may become biologically mature and capable of having children as early as 14, many youngsters remain emotionally and intellectually immature. By the time they reach 15, a significant number of teenagers are approaching adulthood but are unable to adequately meet the requirements and responsibilities of the workplace, family, and neighborhood. Many suffer from health problems, are educational under achievers, and are already skeptical about their ability to enter the American mainstream. In later adolescence (ages 16 to 18), youths may experience a life crisis that famed psychologist Erik Erikson labeled the
  • 79. struggle between ego identity and role diffusion. Ego identity is formed when youths develop a full sense of the self, combining how they see themselves and how they fit in with others. Role diffusion occurs when they experience personal uncertainty, spread themselves too thin, and place themselves at the mercy of people who promise to give them a sense of identity they cannot mold for themselves.3 Psychologists also find that late adolescence is a period dominated by the yearning for independence from parental domination.4 Given this explosive mixture of biological change and desire for autonomy, it isn’t surprising that the teenage years are a time of rebelliousness and conflict with authority at home, at school, and in the community. ego identity According to Erik Erikson, ego identity is formed when youths develop a full sense of the self, combining how they see themselves and how they fit in with others. role diffusion According to Erik Erikson, role diffusion occurs when people spread themselves too thin, experience personal uncertainty, and place themselves at the mercy of people who promise to give them a sense of identity they cannot develop for themselves. Such feelings can overwhelm young people and lead them to consider suicide as a “solution.” Though most kids do not take their own lives, millions are left troubled and disturbed and at risk for delinquency, drug use, and other forms of antisocial behavior. Acting out or externalized behavior that begins in early adolescence may then persist into adulthood.5 In the United States the teen suicide rate remains unacceptably high: suicide is the third leading cause of death among young people ages 15 to 24, averaging about 4,500 per year. According to the Centers for Disease Control and Prevention, the top three methods used in youth suicides are firearms (46 percent), suffocation (37 percent), and poisoning (8 percent).6 Adolescent Problems The population trends take on greater meaning when the special
  • 80. problems of youth are considered. It may not be surprising to some that this latest generation of adolescents has been described as cynical and preoccupied with material acquisitions. By age 18, American youths have spent more time in front of a television set than in the classroom; each year they may see up to 1,000 rapes, murders, and assaults on TV. Today’s teens are watching racy TV shows involving humans, from Teen Mom to Californication, and nonhumans (e.g., True Blood). They listen to rap music, such as the classic “Candy Shop,” by 50 Cent, and “I Hit It First” by Ray J, whose sexually explicit lyrics routinely describe substance abuse and promiscuity. How will this exposure affect them? Should we be concerned? Maybe we should. Research shows that kids who listen to music with a sexual content are much more likely to engage in precocious sex than adolescents whose musical tastes run to Katy Perry or Adele.7 Troubles in the home, the school, and the neighborhood, coupled with health and developmental hazards, have placed a significant portion of American youth at risk. Youths considered at risk are those dabbling in various forms of dangerous conduct such as drug abuse, alcohol use, and precocious sexuality. They are living in families that, because of economic, health, or social problems, are unable to provide adequate care and discipline.8 at-risk youth Young people who are extremely vulnerable to the negative consequences of school failure, substance abuse, and early sexuality. Data on population characteristics can be found at the website of the US Census Bureau (http://www.census.gov/). For more information about this topic, visit the Criminal Justice CourseMate at cengagebrain.com, then access the “Web Links” for this chapter. Adolescent Poverty According to the US Census Bureau, 48 million people, or one in seven residents, live in poverty in the United States, the
  • 81. highest rate since 1994. And because the government defines poverty as $23,000 a year for a family of four, a great many more Americans live just above the poverty line, the so-called working poor, struggling to make ends meet.9 Today, real incomes are falling, and poverty in the United States is more prevalent now than in the late 1960s and early 1970s—and has escalated rapidly since 2000. While poverty problems have risen for nearly every age, gender, and race-ethnic group, the increases in poverty have been most severe among the nation’s youngest families (adults under 30), especially those with one or more children present in the home. Since 2007, the poverty rate has risen by 8 percent among young families with one or more children in the home, and now rests at about 37 percent; in 1967, it stood at only 14 percent. Among young families with children residing in the home, four of every nine are poor or near poor, and close to two out of three are low income.10 Working hard and playing by the rules is not enough to lift families out of poverty: even if parents work full-time at the federal minimum wage, the family still lives in poverty. Consequently, about 6 million children live in extreme poverty, which means less than $10,000 for a family of four; the younger the child, the more likely they are to live in extreme poverty.11 Which kids live in poverty? As Figure 1.1 shows, kids living in a single-parent, female-headed household are significantly more likely to suffer poverty than those in two-parent families. figure 1.1: Percentage of Children Ages 0–17 Living in Poverty by Family Structure SOURCE: US Census Bureau, Current Population Survey, Annual Social and Economic Supplements, http://www.childstats.gov/americaschildren/surve ys2.asp?popup=true#cps (accessed May 2013). Child poverty can have long-lasting negative effects on the children’s cognitive achievement, educational attainment, nutrition, physical and mental health, and social behavior. Educational achievement scores between children in affluent
  • 82. and low-income families have been widening over the years, and the incomes and wealth of families have become increasingly important determinants of adolescents’ high school graduation, college attendance, and college persistence and graduation. The chances of an adolescent from a poor family with weak academic skills obtaining a bachelor degree by his or her mid-20s is now close to zero.12 Health and Mortality Problems Receiving adequate health care is another significant concern for American youth. There are some troubling signs. Recent national estimates indicate that only about 18 percent of adolescents meet current physical activity recommendations of one hour of physical activity a day and only about 22 percent eat five or more servings of fruits and vegetables per day.13 Kids with health problems may only be helped if they have insurance. And while most kids now have health care coverage of some sort, about 10 percent or 7.5 million youth do not.14 As might be expected, children who are not healthy, especially those who live in lower-income families and children from ethnic and minority backgrounds, are subject to illness and early mortality. Recently, the infant mortality rate rose for the first time in more than 40 years, and is now 7 per 1,000 births. The United States currently ranks 25th in the world among industrialized nations in preventing infant mortality, and the percent of children born at low birth weight has increased.15 It remains to be seen whether the new national health care policy, created by the Health Care and Education Reconciliation Act of 2010 (aka Obamacare) will eventually reduce or eliminate inadequate health care for America’s children. While infant mortality remains a problem, so do violent adolescent deaths. More than 3,000 children and teens are killed by firearms each year, the equivalent of 120 public school classrooms of 25 students each. Another 16,000 children and teens suffer nonfatal firearm injuries. Today, more preschoolers are killed by firearms than law enforcement officers killed in the line of duty.16
  • 83. Racial Inequality Despite years of effort to reduce racial inequality, it still tragically exists. Minority kids are much more likely than white, non-Hispanic children to experience poverty; proportionately, Hispanic and black children are about three times as likely to be poor than their white peers.17 As Figure 1.2 shows, African American median income is significantly below that of white and Asian families. figure 1.2: Real Median Household Income by Race and Hispanic Origin SOURCE: US Census Bureau, Current Population Survey, 1968 to 2012, Annual Social and Economic Supplements, http://www.childstats.gov/americaschildren/surve ys2.asp?popup=true#cps (accessed May 2013). Inequality can also be found in other elements of social life. Educational problems are more likely to hit minority kids the hardest. According to the nonprofit Children’s Defense Fund, African American children are half as likely as white children to be placed in a gifted and talented class and more than one and a half times as likely to be placed in a class for students with emotional disturbances. They are also more likely to face disciplinary problems, including being two and a half times as likely to be held back or retained in school, almost three times as likely to be suspended from school, and more than four times as likely to be expelled.18 Ironically, despite suffering these social and economic handicaps, minority youth are less likely to take their own life than white youth. However, as Exhibit 1.2 shows, they are more likely to be victims of lethal violence. exhibit 1.2: Race, Ethnicity, Suicide, and Violence Note: Between 1990 and 2009, suicide was more prevalent than homicide for non-Hispanic white juveniles, while the reverse was true for Hispanic juveniles and non-Hispanic black juveniles.
  • 84. · At each age between 12 and 24, suicide was more common than murder for non-Hispanic whites, in sharp contrast to patterns for Hispanics and non-Hispanic blacks. · For every 10 white homicide victims ages 7 to 17, there were 25 suicide victims (a ratio of 10:25); the corresponding ratio was 10:2 for black juveniles and 10:4 for Hispanic juveniles. · Between 1990 and 2009, the juvenile suicide rate for white non-Hispanic youth (i.e., suicides per million for persons ages 7 to 17 in this race/ethnicity group) was 27. · The suicide rates were substantially lower for Hispanic (17), black non-Hispanic (16), and Asian non-Hispanic (15) juveniles ages 7 to 17. · In contrast, the suicide rate for American Indian juveniles (63) was more than double the white non-Hispanic rate and more than triple the rates for the other racial/ethnic groups. SOURCE: OJJDP Statistical Briefing Book, March 5, 2012, http://www.ojjdp.gov/ojstatbb/victims/qa02703.asp?qaDat e=2009 (accessed May 2013). Self-Image Problems Adolescents are particularly vulnerable to stress caused by a poor self-image. According to recent surveys by the American Psychological Association, citizens of all ages are likely to live stress-filled lives, but children and adults alike who are obese or overweight are more likely to feel stressed out; overweight children are more likely to report that their parents were often or always stressed. When asked, one-third (31 percent) of American children report being very or slightly overweight. These kids are more likely to report they worry a lot or a great deal about things in their lives than children who are normal weight (31 percent versus 14 percent). Overweight children are also significantly more likely than normal-weight children to report they worry about the way they look or about their weight (36 percent versus 11 percent). Children, regardless of weight or age, say they can tell that their parents are stressed when they argue and complain, which many children say makes them feel sad and worried.19
  • 85. Family Problems Divorce strikes about half of all new marriages, and many intact families sacrifice time with each other to afford more affluent lifestyles. Today, about 70 percent of children under age 18 live with two married parents. Kids who live with one parent only are much more likely to experience poverty than those living in two-parent families. Because of family problems, children are being polarized into two distinct economic groups: those in affluent, two-earner, married-couple households and those in poor, single-parent households.20 Formed in 1985, the Children’s Rights Council (CRC) is a national nonprofit organization based in Washington, DC, that works to assure children meaningful and continuing contact with both their parents and extended family regardless of the parents’ marital status. For more information about this topic, visit their website at http://www.crckids.org or go to the Criminal Justice CourseMate at cengagebrain.com, then access the “Web Links” for this chapter. Substandard Living Conditions Millions of children now live in substandard housing—high- rise, multiple-family dwellings—which can have a negative influence on their long-term psychological health.21 Adolescents living in deteriorated urban areas are prevented from having productive and happy lives. Many die from random bullets and drive-by shootings. Some are homeless and living on the street, where they are at risk of drug addiction and sexually transmitted diseases (STDs), including AIDS. Today about one-third of US households with children have one or more of the following three housing problems: physically inadequate housing, crowded housing, or housing that costs more than 30 percent of the household income.22 Despite the fact that the minimum wage has increased to more than $6.50 per hour, the poor can barely afford to live in even the lowest- cost neighborhoods of metro areas such as Chicago, New York, and Washington, DC.23 Inadequate Educational Opportunity
  • 86. Education shapes the personal growth and life chances of children. Early educational experiences of young children, such as being read to daily, encourage the development of essential skills and prepare children for success in school. Later aspects of academic performance, such as mastering academic subjects, completing high school, and enrolling in college, provide opportunities for further education and future employment. Youths who are neither enrolled in school nor working are a measure of the proportion of young people at risk of limiting their future prospects.24 Although all young people face stress in the education system, the risks are greatest for the poor, members of racial and ethnic minorities, and recent immigrants. By the time they reach the fourth grade, students in poorer public schools have lower achievement scores in mathematics than those in more affluent districts.25 According to the watchdog group Children’s Defense Fund: · About 70 percent of fourth-graders in our public schools cannot read at grade level. · Minority children are most seriously affected: almost 90 percent of black fourth-graders, 80 percent of Hispanic fourth- graders, and 80 percent of American Indian/Alaska native fourth-graders are not reading at grade level.26 The problems faced by kids who drop out of school do not end in adolescence.27 Adults 25 years of age and older without a high school diploma earn 30 percent less than those who have earned a diploma. High school graduation is the single most effective preventive strategy against adult poverty. At home, poor children receive less academic support from their harried parents. Take for instance having parents who read to their children at home, a key to future academic success. Although about half of all children ages 3 to 5 who are not yet in kindergarten are read to daily by a family member, the likelihood of having heard a story at home is stratified by class. About two-thirds of children in families with incomes at or above 200 percent of the poverty level are read to daily; in contrast, less than half of children whose family falls 200
  • 87. percent below the poverty level are read to at home.28 Problems in Cyberspace Kids today are forced to deal with problems and issues that their parents could not even dream about. While the Internet and other technological advances have opened a new world of information gathering and sharing, they have also brought a basketful of new problems ranging from sexting to cyberstalking. Cyberbullying Phoebe Prince, a 15-year-old Massachusetts girl, hanged herself in a stairwell at her home after enduring months of torment by her fellow students at South Hadley High School. Prince, who had immigrated from Ireland, was taunted in the school’s hallways and bombarded with vulgar insults by a pack of kids led by the ex-girlfriend of a boy she had briefly dated. As she studied in the library on the last day of her life, she was openly hounded and threatened physically while other students and a teacher looked on and did nothing. In the aftermath of her death, prosecutors accused two boys of statutory rape and four girls with violating Prince’s civil rights and criminal harassment. Ironically, most of these students were still in school, and some continued to post nasty remarks on Prince’s memorial Facebook page after her death.29 Experts define bullying among children as repeated, negative acts committed by one or more children against another.30 These negative acts may be physical or verbal in nature—for example, hitting or kicking, teasing or taunting—or they may involve indirect actions such as manipulating friendships or purposely excluding other children from activities. While in the past bullies were found in the school yard, they can now use the Internet to harass their victims through emails or instant messages. Physical distance is no longer a barrier to the frequency and depth of harm doled out by a bully to his or her victim.31 Obscene, insulting, and slanderous messages can be posted to social media sites or sent directly to the victim via
  • 88. cell phones; bullying has now morphed from the physical to the virtual.32 Cyberbullying is the willful and repeated harm inflicted through Internet social media sites such as Facebook, blogs, or microblogging applications such as Twitter. Like their real- world counterparts, cyberbullies are malicious aggressors who seek implicit or explicit pleasure or profit through the mistreatment of other individuals. Although power in traditional bullying might be physical (stature) or social (competency or popularity), online power may simply stem from Net proficiency. cyberbullying Willful and repeated harm inflicted through Internet social media sites or electronic communication methods such as Twitter. It is difficult to get an accurate count of the number of teens who have experienced cyberbullying. A recent study by Justin Patchin and Sameer Hinduja found that more than 20 percent of the youth they surveyed reported being the target of cyberbullying.33 As Figure 1.3 shows, adolescent girls are significantly more likely to have experienced cyberbullying in their lifetimes (26 percent versus 16 percent) than boys. Girls are also more likely to report cyberbullying others during their lifetime (21 percent versus 18 percent). The type of cyberbullying tends to differ by gender; girls are more likely to spread rumors while boys are more likely to post hurtful pictures.34 figure 1.3: Cyberbullying by Gender SOURCE: Justin Patchin and Sameer Hinduja, Cyberbullying Research Center, http://cyberbullying.us/research.php (accessed May 2013). Cyberstalking Cyberstalking refers to the use of the Internet, email, or other electronic communications devices to stalk another person. Some predatory adults pursue minors through online chat
  • 89. rooms, establish a relationship with the child, and later make contact. Today, Internet predators are more likely to meet and develop relationships with at-risk adolescents, and beguile underage teenagers, rather than use coercion and violence.35 Others, as the Cyber Delinquency feature shows, engage in a misleading practice called catfishing: taking on a fictional identity to lure unsuspecting kids into romantic relationships. Sexting Adolescents now have to worry that the compromising photos they send their boyfriends or girlfriends—a practice called sexting—can have terrible repercussions. In 2008, Jesse Logan, an 18-year-old Ohio high school girl, made the mistake of sending nude pictures of herself to her boyfriend. When they broke up, he sent them around to their schoolmates. As soon as the e-photos got into the hands of her classmates, they began harassing her, calling her names and destroying her reputation. Jesse soon became depressed and reclusive, afraid to go to school, and in July 2008 she hanged herself in her bedroom.36 While the sexting phenomenon has garnered national attention, there is some question as to how often teens actually engage in the distribution of sexually compromising material. One recent survey of 1,560 Internet users ages 10 through 17 found that about 2.5 percent had appeared in or created nude or nearly nude pictures or videos and that 1 percent of these images contained sexually explicit nudity. Of the youth who participated in the survey, 7 percent said they had received nude or nearly nude images of others; few youth distributed these images. It is possible that sexting is not as common as previously believed or that it was a fad that is quickly fading.37 Are Things Improving? Though American youth do face many hazards, there are some bright spots on the horizon. Teenage birthrates nationwide have declined substantially during the past decade, with the sharpest declines among African American girls. In the same period, the teen abortion rate has also declined. These data indicate that more teens are using birth control and practicing safe sex.
  • 90. Fewer children are being born with health risks today than in 1990. This probably means that fewer women are drinking or smoking during pregnancy and that fewer are receiving late or no prenatal care. In addition, since 1990 the number of children immunized against disease has increased. Kids are taking less risks when they ride in cars: · From 1991 to 2011, the percentage of high school students who never or rarely wore a seatbelt declined from 26 to 8 percent · From 1991 to 2011, the percentage of students who rode with a driver who had been drinking alcohol during the past 30 days declined from 40 to 24. · The percentage of high school students who had driven a car during the past 30 days when they had been drinking alcohol decreased from 17 in 1997 to 8 in 2011.38 They are also drinking less alcohol. Since 1999, the percentage of high school students who drank alcohol during the past 30 days decreased from 50 percent to 39 percent and, since 1997, the percentage who reported binge drinking (having 5 or more drinks of alcohol in a row during the past 30 days) decreased from 33 percent to 22 percent.39 More parents are reading to their children, and math achievement is rising in grades 4 through 12. And more kids are going to college: college enrollment is now about 21 million and is expected to continue setting new records for the next decade.40 Almost 30 percent of the adult population in the United States now have college degrees. CYBER delinquency: Catfishing “Catfishing” refers to the practice of setting up a fictitious online profile, most often for the purpose of luring another into a fraudulent romantic relationship. According to The Urban Dictionary, a catfish is “someone who pretends to be someone they’re not using Facebook or other social media.” So, to “catfish someone” is to set up a fake social media profile with the goal of duping that person into falling for the false persona. While catfishing has been around awhile, it became a topic of
  • 91. public interest when Notre Dame football star Manti Te’o was the apparent target of a catfish. Te’o developed an online relationship with someone he knew as Lennay Kekua. It is difficult to know how deep the relationship was, but he did refer to her as his girlfriend and mentioned repeatedly that he loved her. Te’o amassed a wide sympathy following when it was learned that his grandmother and his girlfriend (Kekua) died on the same day early in the 2012 football season. While his grandmother did in fact die on that day, his “girlfriend” did not—media investigations revealed that she had never existed in the first place. Kekua was in fact a fictitious online persona created by a friend of Te’o’s. In a statement to the press, Te’o maintained that he was a target: “To realize that I was the victim of what was apparently someone’s sick joke and constant lies was, and is, painful and humiliating.” In another case that got national attention, 13-year-old Megan Meier began an online relationship with a boy she knew as Josh Evans. For almost a month, Megan corresponded with this boy, exclusively online because he said he didn’t have a phone and was homeschooled. One day in October 2006, Megan received a message from Josh on her MySpace profile saying, “I don’t know if I want to be friends with you any longer because I hear you’re not nice to your friends.” This was followed by bulletins being posted through MySpace calling Megan “fat” and a “slut.” After seeing the messages, Megan became distraught and ran up to her room. A few minutes later, Megan’s mother Tina found her hanging in her bedroom closet. Though Tina rushed her daughter to the hospital, Megan died the next day. Six weeks after their daughter’s death, the Meier family learned that the boy with whom Megan had been corresponding never existed. Josh Evans (and his online profile) was created by Lori Drew, a neighbor and the mother of one of Megan’s friends. She created the profile as a way to spy on what Megan was saying about her daughter. Drew was eventually acquitted in federal court for her role in Megan’s death. Another, more extreme example, is the case of 18-year-old
  • 92. Anthony Stancl, who in 2009 impersonated two girls (“Kayla” and “Emily”) on Facebook. He befriended and formed online romantic relationships with a number of boys in his high school (again, while posing and interacting as these two girls). He then convinced at least 31 of those boys to send him nude pictures or videos of themselves. As if that weren’t bad enough, Stancl— still posing as a girl and still communicating through Facebook—tried to convince more than half to meet with a male friend and let him perform sexual acts on them. If they refused, “she” told them that the pictures and videos would be released for all to see. Seven boys actually submitted to this horrific request, and allowed Stancl to perform sex acts on them or they performed sex acts on him. He took numerous pictures of these encounters with his cell phone, and the police eventually found over 300 nude images of male teens on his computer. He was charged with five counts of child enticement, two counts of second-degree sexual assault of a child, two counts of third- degree sexual assault, possession of child pornography, and repeated sexual assault of the same child, and received a 15- year prison sentence. The most famous case of “catfishing” involved Notre Dame’s star linebacker Manti Te’o, shown here speaking with Katie Couric during an interview. Te’o admitted that he briefly lied about his fictitious online girlfriend Lennay Kekua after discovering she didn’t exist, while maintaining that he had no part in creating the hoax. Te’o gained the sympathy of the nation when he was made to believe that his girlfriend had died of cancer. CRITICAL THINKING Some might argue that catfishing is harmless Internet fun and that people should know better than to enter into any significant relationship with another person they only know digitally. Do such thoughts make it okay to use technology to mislead someone, and lead to a “victim-blaming” mentality? Should people who catfish others be held criminally liable?
  • 93. SOURCE: Justin Patchin, “Catfishing as a Form of Cyberbullying,” Cyberbullying Research Center, http://cyberbullying.us/blog/catfishing-as-a-form-of- cyberbullying.html (accessed May 2013). Although these are encouraging signs, the improvement of adolescent life continues to be a national goal. The Study of Juvenile Delinquency The problems of youth in modern society is a major national concern especially when they are linked to juvenile delinquency, or criminal behavior committed by minors. juvenile delinquency Participation in illegal behavior by a minor who falls under a statutory age limit. More than 1.1 million youths are now arrested each year for crimes ranging in seriousness from loitering to murder.41 Though most juvenile law violations are minor, some young offenders are extremely dangerous and violent. About 800,000 youths belong to more than 20,000 gangs in the United States. Violent street gangs and groups can put fear into an entire city (see Chapter 9 for more on gangs). Youths involved in multiple serious criminal acts—referred to as lifestyle, repeat, or chronic delinquent offenders—are now recognized as a serious social problem. State juvenile authorities must deal with these offenders, along with responding to a range of other social problems, including child abuse and neglect, school crime and vandalism, family crises, and drug abuse. The cost to society of these high-rate offenders can be immense. In a series of studies, Mark Cohen, Alex Piquero, and Wesley Jennings examined the costs to society of various groups of juvenile offenders, including high-rate chronic offenders who kept on committing serious crimes as adults.42 They found that the average cost for each of these offenders was over $1.5 million, and their cost to society increased as they grew older. The “worst of the worst” of these offenders, who committed 53 known crimes, cost society $1,696,000 by the time they reached their mid-20s. In all, the high-rate offenders they studied had an
  • 94. annual cost to society of over half a billion dollars. chronic delinquent offenders (also known as chronic juvenile offenders, chronic delinquents, or chronic recidivists) Youths who have been arrested four or more times during their minority and perpetuate a striking majority of serious criminal acts. This small group, known as the “chronic 6 percent,” is believed to engage in a significant portion of all delinquent behavior; these youths do not age out of crime but continue their criminal behavior into adulthood. Given the diversity and gravity of these problems, there is an urgent need for strategies to combat such a complex social phenomenon as juvenile delinquency. But formulating effective strategies demands a solid understanding of delinquency’s causes and prevention. Is delinquency a function of psychological abnormality? A collective reaction by youths against destructive social conditions? The product of a disturbed home life and disrupted socialization? Does serious delinquent behavior occur only in large urban areas among lower-class youths? Or is it spread throughout the entire social structure? What impact do family life, substance abuse, school experiences, and peer relations have on youth and their law- violating behaviors? We know that most youthful law violators do not go on to become adult criminals (what is known as the aging-out process). Yet we do not know why some youths become chronic delinquents whose careers begin early and persist into their adulthood. Why does the onset of delinquency begin so early in some children? Why does the severity of their offenses escalate? What factors predict the persistence, or continuation, of delinquency, and conversely, what are the factors associated with its desistance, or termination? Unless the factors that control the onset and termination of a delinquent career are studied in an orderly and scientific manner, developing effective prevention and control efforts will be difficult. aging-out process (also known as desistance or spontaneous remission)
  • 95. The tendency for youths to reduce the frequency of their offending behavior as they age; aging-out is thought to occur among all groups of offenders. persistence The process by which juvenile offenders persist in their delinquent careers rather than aging out of crime. The study of delinquency also involves analysis of the law enforcement, court, and correctional agencies designed to treat youthful offenders who fall into the arms of the law—known collectively as the juvenile justice system. How should police deal with minors who violate the law? What are the legal rights of children? For example, should minors who commit murder receive the death penalty? What kind of correctional programs are most effective with delinquent youths? How useful are educational, community, counseling, and vocational development programs? Is it true, as some critics claim, that most efforts to rehabilitate young offenders are doomed to failure?43 Should we adopt a punishment or a treatment orientation to combat delinquency, or something in between? juvenile justice system The segment of the justice system, including law enforcement officers, the courts, and correctional agencies, designed to treat youthful offenders. The study of juvenile delinquency involves a variety of social problems faced by adolescents. Sgt. Vincent Matranga, of the Sacramento City Unified School District, questions Lydia Ochoa, 15, and her boyfriend, Antonio, 17, about why the pair are not in school, in Sacramento, California. Police teamed up with school officials to start rounding up truants in an effort to cut crime as well as prevent kids from dropping out. After questioning the two juveniles, Matranga released Antonio to an adult who confirmed he was enrolled in a home study program. Lydia was taken to an attendance center at Luther Burbank High School where a social worker worked with her to prevent her from becoming one of the estimated 150,000 California students
  • 96. who leave school each year without a diploma. The study of delinquency involves such issues as devising programs to reduce the dropout rate and determining what effect dropping out of school has on delinquency. In sum, the scientific study of delinquency requires understanding the nature, extent, and cause of youthful law violations and the methods devised for their control. We also need to study important environmental and social issues associated with delinquent behavior, including substance abuse, child abuse and neglect, education, and peer relations. This text investigates these aspects of juvenile delinquency along with the efforts being made to treat problem youths and prevent the spread of delinquent behavior. Our study begins with a look back to the development of the concept of childhood and how children were first identified as a unique group with its own special needs and behaviors. The Development of Childhood The treatment of children as a distinct social group with special needs and behavior is, in historical terms, a relatively new concept. It is only for the past 350 years or so that any mechanism existed to care for even the most needy children, including those left orphaned and destitute. How did this concept of concern for children develop? Childhood in the Middle Ages In Europe, during the Middle Ages (roughly 500–1500 ce), the concept of childhood as we know it today did not exist. In the paternalistic family of the time, the father was the final authority on all family matters and exercised complete control over the social, economic, and physical well-being of his wife and children.44 Children who did not obey were subject to severe physical punishment, even death. paternalistic family A family style wherein the father is the final authority on all family matters and exercises complete control over his wife and children. The Lower Classes
  • 97. For peasant children, the passage into adulthood was abrupt. As soon as they were physically capable, children of all classes were expected to engage in adult roles. Among the working classes, males engaged in farming and/or learning a skilled trade, such as masonry or metal-working; females aided in food preparation or household maintenance.45 Some peasant youths went into domestic or agricultural service on the estate of a powerful landowner or into trades or crafts, perhaps as a blacksmith or farrier (horseshoer). This view of medieval childhood was shaped by Philippe Aries, whose influential book Centuries of Childhood is considered a classic of historical scholarship. Aries argued that most young people were apprenticed, became agricultural or factory workers, and generally entered adult society at a very early age.46 According to Aries, high infant mortality rates kept parents emotionally detached from their children. Paintings of the time depict children as mini-adults who were sent off to work as soon as they were capable. Western culture did not have a sense of childhood as a distinct period of life until the very late nineteenth and early twentieth centuries. Though Aries’s view that children in the Middle Ages were treated as “miniature adults” has become the standard view, in a more recent book, historian Nicholas Orme puts forth evidence that medieval children may have been valued by their parents and did experience a prolonged period of childhood. In his Medieval Children, Orme finds that the medieval mother began to care for her children even before their delivery. Royal ladies borrowed relics of the Virgin Mary from the church to protect their unborn children, while poorer women used jasper stones or drawings of the cross, which were placed across their stomachs to ensure a healthy and uneventful birth. Parents associated their children’s birthdays with a saint’s feast day. Medieval children devised songs, rhymes, and games. Some simple games made use of cherry pits or hazelnuts, but children also had toys, which included dolls and even mechanical toys made for royalty.47
  • 98. As soon as they were physically capable, children of the Middle Ages were expected to engage in adult roles. Young girls worked as maids and housekeepers and at such tasks as food preparation, clothes washing, and household maintenance. Boys worked on farms and performed such tasks as blacksmith or farrier (horseshoer). Children of the Nobility Though their lives were quite different, children of the affluent, landholding classes also assumed adult roles at an early age. Girls born into aristocratic families were educated at home and married in their early teens. A few were taught to read, write, and do sufficient mathematics to handle household accounts in addition to typical female duties such as supervising servants and ensuring the food supply of the manor. At age 7 or 8, boys born to landholding families were either sent to a monastery or cathedral school to be trained for lives in the church or selected to be a member of the warrior class and sent to serve a term as a squire—an apprentice and assistant to an experienced knight. At age 21, young men of the knightly classes completed their term as squire, received their own knighthood, and returned home to live with their parents. Most remained single because it was widely believed there should be only one married couple residing in a manor or castle. To pass the time and maintain their fighting edge, many young knights entered the tournament circuit, engaging in melees and jousts to win fame and fortune. Upon the death of their fathers, young nobles assumed their inherited titles, married, and began their own families. The customs and practices of the time helped shape the lives of children and, in some instances, greatly amplified their hardships and suffering. Primogeniture required that the oldest surviving male child inherit family lands and titles. He could then distribute them as he saw fit to younger siblings. There was no absolute requirement, however, that portions of the estate be distributed equally; many youths who received no
  • 99. lands were forced to enter religious orders, become soldiers, or seek wealthy patrons. Primogeniture often caused intense family rivalry that led to blood feuds and tragedy. primogeniture During the Middle Ages, the right of firstborn sons to inherit lands and titles, leaving their brothers the option of a military or religious career. Dower The dower system mandated that a woman’s family bestow money, land, or other wealth (called a dowry) on a potential husband or his family in exchange for his marriage to her. In return, the young woman received a promise of financial assistance, called a jointure, from the groom’s family. Jointure provided a lifetime income if a wife outlived her mate. The dower system had a significant impact on the role of women in medieval society and consequently on the role of children. Within this system, a father or male guardian had the final say in his daughter’s choice of marital partner, as he could threaten to withhold her dowry. Some women were denied access to marriage simply because of their position in the family. A father with many daughters and few sons might find himself financially unable to obtain suitable marriages for them. Consequently, the youngest girls in many families were forced either to enter convents or stay at home, with few prospects for marriage and family. The dower system had far-reaching effects on the position of women in society, forcing them into the role of second-class citizens dependent upon their fathers, brothers, and guardians. It established a pattern in which females who did not conform to what males considered to be acceptable standards of feminine behavior could receive harsh sanctions; it established a sexual double standard that in part still exists today. Childrearing The harshness of medieval life influenced childrearing practices during the fifteenth and sixteenth centuries. For instance, newborns were almost immediately handed over to wet nurses,
  • 100. who fed and cared for them during the first two years of their life. These women often lived away from the family so that parents had little contact with their children. Even the wealthiest families employed wet nurses, because it was considered demeaning for a noblewoman to nurse. Wrapping a newborn entirely in bandages, or swaddling, was a common practice. The bandages prevented any movement and enabled the wet nurse to manage the child easily. This practice was thought to protect the child, but it most likely contributed to high infant mortality rates because the child could not be kept clean. swaddling The practice during the Middle Ages of completely wrapping newborns in long bandage-like cloths in order to restrict their movements and make them easier to manage. Discipline was severe during this period. Young children of all classes, both peasant and wealthy, were subjected to stringent rules and regulations. They were beaten severely for any sign of disobedience or ill temper. Many children of this time would be considered abused by today’s standards. The relationship between parent and child was remote. Children were expected to enter the world of adults and to undertake responsibilities early in their lives, sharing in the work of siblings and parents. Children thought to be suffering from disease or retardation were often abandoned to churches, orphanages, or foundling homes.48 The roots of the impersonal relationship between parent and child can be traced to high mortality rates, which made sentimental and affectionate relationships risky. Parents were reluctant to invest emotional effort in relationships that could so easily be terminated by violence, accidents, or disease. Many believed that children must be toughened to ensure their survival in a hostile world. Close family relationships were viewed as detrimental to this process. Also, because the oldest male child was viewed as the essential player in a family’s well- being, younger male and female siblings were considered