This study examined the prevalence of common mental disorders (CMD) and their association with job stress and rank among 506 military personnel in peacetime Brazil. The prevalence of CMD was 33%. After adjusting for potential confounders, the effort-reward imbalance model of job stress was associated with a 2.03 times higher prevalence of CMD. Independently of other factors, those with the rank of lieutenant had a 2.02 times higher prevalence of CMD compared to other ranks. The study suggests that job stress and specific occupational roles may influence mental health in the military, even during peacetime.
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Occupational Medicine 2012;62:182–187
Advance Access publication on 7 March 2012
doi:10.1093/occmed/kqs006
Military hierarchy, job stress and mental health in
peacetime
L. C. X. Martins
1,2
and C. S. Lopes
1
1
Department of Epidemiology, Institute of Social Medicine, State
University of Rio de Janeiro (IMS/UERJ), Rua São Francisco
Xavier 524, 7� andar, Rio de Janeiro, RJ 20550-900, Rio de
Janeiro, RJ 20550-900, Brazil, 2Department of Post-
Graduation/School
of Physical Education of Brazilian Army, Escola de Educacxão
Fı́sica do Exército—Secxão de Pós-Graduacxão, Avenida João
Luı́z Alves,
S/Nr—Urca, CEP 22291-090, Rio de Janeiro, RJ, Brazil.
Correspondence to: L. C. X. Martins, Department of Post-
Graduation/School of Physical Education of Brazilian Army,
Escola de
Educacxão Fı́sica do Exército—Secxão de Pós-Graduacxão, Av.
João Luı́z Alves, S/Nr—Urca, CEP 22291-090, Rio de Janeiro,
RJ,
3. Brazil. Tel: 155 21 2586 2297; fax: 155 21 2295 7745; e-mail:
[email protected] and C. S. Lopes, Department of Epidemiology,
Institute of Social Medicine, State University of Rio de Janeiro
(IMS/UERJ), Brazil Rua São Francisco Xavier 524, 7� andar,
Rio de
Janeiro, RJ 20550-900, Brazil. Tel: 155 21 2334 0472; fax: 155
21 2334 2152; e-mail: [email protected]
Background Most studies of mental health in the armed forces
focus primarily on post-traumatic stress disorders
among military personnel in combat situations.
Aims To evaluate the prevalence of common mental disorders
(CMD) and job stress, and the association
between the two, among military personnel in peacetime.
Additionally, it sought to identify occupa-
tional subgroups with higher prevalences of CMD.
Methods The study participants were 506 military personnel
from a Brazilian army directorate in Rio de Janeiro
City. CMD were evaluated using the 12-item version General
Health Questionnaire. Job character-
istics were measured using the effort-reward imbalance (ERI)
model and by categories of military
rank. Prevalence ratios (PRs) were estimated by Poisson
regression to obtain robust (95%) confidence
intervals (CIs).
Results The prevalence of CMD was 33% (95% CI 29–37).
4. After adjusting for age, education, income, life-
style and other occupational characteristics, ERI was associated
with CMD (PR 5 2.03; 95% CI 1.3–
3.1). Overcommitment proved to be an important component of
job stress. Independently of socio-
economic, demographic, lifestyle and job stress variables, the
rank of lieutenant associated strongly
with CMD (PR 5 2.02; 95% CI 1.2–4 0.1).
Conclusions This study found that job stress among armed
forces personnel is associated with CMD. In addition,
the specific occupational characteristics of the military
environment can lead to a higher prevalence of
CMD among those holding the rank of lieutenant.
Key words Effort-reward imbalance model; job stress; military
personnel; mental health.
Introduction
The mental health of military personnel has been studied
in developed countries, particularly those involved in
war situations [1,2], focussing on the occurrence of
post-traumatic stress disorder. Few studies have inves-
tigated mental health among the military in peacetime
5. [2].
The work process of military personnel has character-
istics that can have an impact on patterns of illness. Their
working environment is strongly marked by peculiarities
inherent to the military profession: rigid hierarchy,
heightened competition and the ever-present possibility
of changes occurring against the individual’s wishes.
These characteristics have been considered important
sources of job stress [2].
The relationship between state of mental health and
work environment is complex and multifaceted, and an
unfavourable work environment is associated with higher
prevalence of mental disorders [3]. Stress generally has
been pointed to as one important risk factor for the
occurrence of common mental disorders (CMD) [4], a
situation characterized by symptoms of anxiety and de-
pression, in addition to a series of non-specific and somatic
complaints. The literature indicates that service personnel
6. with high stress levels [2,5] or stress-related disorders suf-
fer more physical and mental morbidity, miss more days
work, are less productive and make more frequent use
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behalf of the Society of Occupational Medicine.
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of health services [6]. Job stress can have an overall
effect on people, leading to anxiety, exhaustion, de-
pression and even substance abuse. In addition, the
7. constant possibility of changes at work, against the
individual’s wishes, can precipitate additional stress
[7]. The disability caused by stress is as major as that
resulting from work accidents or other common medical
conditions [6].
Few studies have investigated mental health among
armed service personnel in peacetime. Studies in the
UK have shown prevalences of CMD ranging from
20% [8,9] to 27%, depending on the cut-off point of the
instrument used. In the US armed forces, the prevalence
was 28% [1].
Despite the peculiarities of the work process of military
personnel while performing their normal military duties
in peacetime, little is known about the role of job stress
in their mental health. Studies, conducted mainly in
the USA and UK, have shown an important association
between exposure to job stress and the occurrence of
mental disorders [1,2]. In addition, those occupying
8. lower ranks in the military hierarchy display more likeli-
hood of mental disorders [10].
In Brazil, the only study of stress and mental health
among armed forces personnel was performed on the
return of one contingent deployed on a peacekeeping
mission in Haiti, and it focused on post-traumatic stress
disorder [11]. In this context, as far as we know, this is the
first study to investigate the prevalence of CMD and its
association to job stress, according to the effort-reward
imbalance (ERI) model and rank among active service
personnel in peacetime.
The aims of this study were to evaluate the prevalence
of CMD and its association with job stress and rank
among military personnel in peacetime.
Methods
This was a cross-sectional census-type study of armed
forces personnel serving at a Brazilian army directorate
and its subordinate military organizations. Data
9. collection took place from October 2009 to February
2010.
Written informed consent was obtained from all par-
ticipants. Ethical approval was obtained from the Ethics
Committee of Rio de Janeiro State University.
Data were collected using self-completed question-
naires on socio-economic, demographic and occupational
characteristics, physical activity, self-reported health con-
ditions and self-perceived health. CMD (outcome) was
evaluated using the GHQ-12, validated in Brazil [12].
The questionnaire asks about the presence of CMD dur-
ing the previous 2 weeks. It is scored by designating each
item as absent (0) or present (1); those scoring $3 (of 12)
were classified as ‘cases’ [13].
The exposure variables were job stress and rank. Job
stress was assessed by the ERI model, which states that
an adverse work environment is characterized by both
high effort and low reward and displays a reciprocity def-
10. icit between ‘costs’ and ‘gains’. Such an imbalance may
lead to a state of active distress, by evoking negative emo-
tions. This model also assumes that overcommitment
(OC) (a personality characteristic) intensifies the process;
highly overcommitted workers will respond to an ERI
with more strain reactions than less overcommitted
workers [7,14]. The instrument, adapted and validated
in Brazil [15], comprises 23 questions, and the results
are expressed as scores covering three facets: effort (E),
reward (R) and OC. Each facet was analysed separately,
as was the effort-reward ratio (E/R) and the total score
(TS) from the instrument, TS 5 (E/R 1 OC) [7]. The
quadrants of the ERI model were set-up as follows:
the two lower terciles of the scores were coded as
0 (low) and the upper tercile as 1 (high), from which
the following quadrants were formed: ‘high effort and
high reward’, ‘high effort and low reward’, ‘low effort
and low reward’, ‘low effort and high reward’. ‘Low effort
11. and high reward’ was taken as the reference category.
With the same methodology, TS and E/R were also
dichotomized into high stress (1) and low stress (0).
Rank was categorized as follows: ‘Superior officers and
captains’ (captain, major, lieutenant-colonel, colonel and
general), ‘Lieutenants’, ‘Sergeant-Majors and Sergeants’
and ‘Corporals and Privates’.
The covariates were age, education, income, marital
status and lifestyle variables. Per capita family income
(total family income divided by the number of family
members living on that income) and categorized in Brazil-
ian minimum wages. For lifestyle, the variables investi-
gated were consumption of any alcohol in the previous
2 weeks and current smoking (dichotomous) and physical
activity. The latter was evaluated by Baecke’s Question-
naire [16], a self-completed instrument that evaluates
physical activity levels in three dimensions (occupational,
sport/leisure exercise and other leisure-time physical ac-
12. tivities) and expresses the levels in the form of scores. This
questionnaire was validated in Brazil [17]. For some
analyses, the total score for physical activity was dichot-
omized, considering the two upper terciles as ‘High’ and
the lower tercile as ‘Low’.
Pretest and pilot studies were conducted, with test-
retest reliability assessment, in order to guarantee the
quality of the information. For the three scales, the find-
ings show high reliability ranging from substantial to
perfect [18].
Descriptive analyses were conducted. From the
bivariate analysis (x
2
), the variables that showed a statis-
tical association (P # 0.25) with CMD were selected
for multiple analysis in order to control for possible
confounders.
L. C. X. MARTINS AND C. S. LOPES: MILITARY
HIERARCHY, JOB STRESS AND MENTAL HEALTH 183
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To evaluate the unadjusted and adjusted prevalence
ratios (PRs) and their respective 95% confidence intervals
(CIs) for the association between ERI, the E and R
quadrants, rank and CMD, Poisson regression was used,
via Generalized Linear Models, as that yields more robust
CIs. Data modelling fit was tested by the goodness-of-fit
method. Absent data were excluded from the analyses.
Data entry was performed in MSAccess/2000. Statis-
14. tical analyses were performed using the R Platform.
Results
There were 654 military personnel serving at the director-
ate. Of these, 68 (10%) had been deployed away from the
directorate indefinitely and were excluded. Forty-six
(8%) refused to take part and of the remaining 540, 34
(6%) were women who, being so few in number, were
withdrawn from the study. The study population there-
fore comprised of 506 participants. Their characteristics
are given in Table 1. The prevalence of at least one self-
reported physical morbidity was 42%, but none displayed
any statistically significant association with CMD.
Eighty-two (16%) respondents reported suffering from
job stress (high effort and low reward) (Table 1). Figure 1
shows the distribution of job stress by rank. The highest
prevalences can be seen among lieutenants (40%), corpo-
rals and privates (37%).
Prevalence of CMD was 33% (95% CI 29.1–37.3).
15. Table 1 shows this prevalence by socio-economic and
demographic characteristics, self-perceived health, life-
style components, rank and job stress in the study
population. Self-perceived health (P , 0.001) and occu-
pational physical activity (P , 0.01) were positively asso-
ciated with CMD, while sports/leisure exercise (P , 0.05)
was inversely associated with CMD (Table 1).
Table 2 shows the prevalence and the prevalence ratios
of CMD by job stress levels and by rank.
The unadjusted models showed strong association
between the rank of lieutenant and CMD. This associa-
tion did not change even after adjustment for other work
characteristics, self-rated health and lifestyle (full model)
(PR 5 2.02; 95% CI 1.2–4.1). No association was found
between other military ranks and CMD.
As regards job stress, the combination of high effort
and low reward (ERI) displayed the strongest association
with CMD in both the unadjusted and adjusted models.
16. In comparison with the reference quadrant (low effort
and high reward), and after adjustment for all variables
(full model), high effort and low reward displayed twice
the prevalence of CMD (full model: PR 5 2.01; 95% CI
1.3–3.1), followed by high effort and high reward (PR 5
1.87; 95% CI 1.2–2.9).
The E/R showed no association with CMD, but TS of
the ERI model did show association (PR 5 1.13; 95% CI
1.1–1.2).
Discussion
The results showed that one third of the male service per-
sonnel evaluated displayed CMD and that high effort and
low reward at work and the rank of lieutenant in the
Table 1. Characteristics of the study population and prevalence
of
CMD
Characteristic n CMD P
Cases (%)
Age NS
17. Up to 25 years 216 74 (34)
From 26 to 35 years 139 55 (40)
From 36 to 45 years 119 30 (25)
Above 45 years 29 8 (28)
Unknown 3
Education NS
More than 9 years of study 479 159 (33)
Up to 9 years of study 27 9 (33)
Income
a
NS
Up to 2 149 48 (32)
More 2–5 177 67 (38)
More 5–10 119 39 (33)
.10 41 9 (22)
Unknown 20
Rank ,0.001***
Superior officers and captains 95 21 (22)
Lieutenants 113 56 (50)
18. Sergeant-majors and sergeants 107 28 (26)
Corporals and privates 191 63 (33)
Lifestyle
b
Physical activity
c
Occupational ,0.01**
High 354 130 (37)
Low 147 34 (23)
Sports/exercises at leisure-time ,0.05*
High 344 101 (29)
Low 156 63 (40)
Other physical activity
during leisure and commuting
NS
High 380 119 (31)
Low 119 45 (38)
Self-perceived health ,0.001***
Very good 344 85 (26)
Good 169 69 (44)
Regular 24 13 (54)
19. Bad 1 1 (100)
Job stress
d
,0.001***
Low efforts and high rewards 284 58 (22)
Low efforts and low rewards 94 31 (35)
High efforts and high rewards 75 34 (48)
High efforts and low rewards 82 45 (55)
Characteristics of the study population and prevalence of CMD
(N 5 506), 2010.
a
Income monthly.
b
Alcohol consumption and smoking were not statistically
significant (P . 0.05).
c
Levels determined by terciles.
d
CMD.
e
Quadrants of ERI model.
Statistical significance: *P ,0.05; **P , 0.01; ***P , 0.0001.
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military hierarchy were associated with these disorders.
These associations were independent of age, schooling,
income, marital status, self-perceived health, lifestyle
and other occupational characteristics. These findings
are important in that the occurrence of CMD can entail
consequences such as reduced productivity at work and
higher rates of absenteeism [6].
21. The strengths of this study are that it is one of the few
to have investigated mental health in serving members of
Brazil’s armed forces and that it achieved a very good
participation rate (92%). The study population was
homogeneous (socio-economic and demographic char-
acteristics), which reduced the likelihood of residual con-
founders. In addition, the census of service personnel at
the directorate revealed a sample population with the
same socio-economic and demographic characteristics
Figure 1. Job stress according to military rank.
Table 2. Prevalence and prevalence ratios of CMD according to
levels of job stress and rank (N 5 506), 2010
Exposure levels N (%) PR unadjusted (95%) Model 1 Model 2
a
Adjusted PR (95%) Adjusted PR (95%)
Rank
Superior officers and
captains
b
21 (22) 1.00 1.00 1.00
22. Lieutenants 56 (50) 2.24 (1.4–3.7) 2.04 (1.2–3.5) 2.02 (1.2–4.1)
Sergeant-majors and
sergeants
28 (26) 1.18 (0.7–2.1) 1.14 (0.7–2.4) 1.33 (0.7–2.4)
Corporals and privates 63 (33) 1.49 (0.9–2.5) 1.3 (0.8–2.4) 1.57
(0.8–3.2)
Job Stress by quadrants
c
Low efforts and high
rewards
58 (22) 1.00 1.00 1.00
Low efforts and low
rewards
31 (35) 1.59 (1.0–2.5) 1.59 (1.1–2.5) 1.60 (1.1–2.5)
High efforts and high
rewards
34 (48) 2.17 (1.4–3.3) 2.04 (1.3–3.2) 1.87 (1.2–2.9)
High efforts and low
rewards
23. 45 (55) 2.49 (1.7–3.7) 2.18 (1.4–3.3) 2.01 (1.3–3.1)
Job stress by facets
d
Effort (E) 79 (52) 1.10 (1.1–1.1) 1.06 (1.1–1.1) 1.05 (1.1–1.1)
Reward (R) 92 (28) 1.07 (1.0–1.1) 1.03 (1.0–1.1) 1.03 (1.0–1.1)
OC 69 (47) 1.15 (1.1–1.2) 1.07 (1.0–1.1) 1.07 (1.0–1.2)
Job stress by ERI
E/R
e
47 (28) 0.85 (0.6–1.2) 0.86 (0.6–1.2) 0.88 (0.6–1.2)
TS of ERI model
f
80 (47) 1.13 (1.1–1.2) 1.12 (1.1–1.2) 1.11 (1.1–1.2)
Unadjusted and adjusted PRs and respective 95% CI for the
association between levels of job stress, rank and CMD: in
military personnel of the Brazilian Army (N 5 506)
in 2010. Model 1: adjusted for lifestyle (alcohol and physical
activity). Model 2: adjusted for lifestyle, age, self-rated health
and other job characteristics. Job stress set by
quadrants, effort and reward were not included in the model
(full model).
a
Rank and job stress mutually adjusted.
24. b
Reference category.
c
Quadrants of the ERI model.
d
Facets of ERI model; categorized in ‘high’ and ‘low’ levels.
e
Effort–reward ratio.
f
TS of the ERI model: TS 5 E/R 1 OC.
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as the ground forces overall [19], enabling the results to
be extrapolated to the whole Brazilian army.
Some limitations of the study must be considered.
Firstly, at initial sampling (the census), the proportion
of women was far higher (6%) than in the army overall
(1.3%), which could weaken the power of the study
and we therefore excluded women from the analyses.
However, our results remained comparable to the studies
cited here because they analysed the outcomes controlling
by gender, although they do not present all results sepa-
rately by gender. Secondly, this study is based on cross-
sectional data, which are unlikely to determine the
temporal nature of the phenomena examined, restricting
the inference concerning a causal direction of the associ-
ation of job stress and military hierarchy with CMD. We
cannot exclude reverse causation where respondents with
CMD perceived their work environment as more stress-
26. ful. However, longitudinal studies have consistently
shown that an adverse psychosocial environment at
work is a predictive factor for psychiatric morbidities
[20,21,22]. Our findings are in agreement with the
literature. Thirdly, individuals who are suffering psycho-
logically may report working conditions more negatively
than individuals who do not display such symptoms [23].
This bias can be avoided through the strategy of clustering
the workers into occupational categories under homoge-
neous working conditions and then aggregating cases and
non-cases by these categories [24]. Those conditions
were met by the characteristics inherent to military occu-
pational categorization, thus meeting the requirements
proposed [24] for less biased analysis. Lastly, the study
was based on the GHQ-12, a screening instrument, rather
than on a standardized clinical interview, which could
yield psychiatric diagnoses. Studies have shown that asso-
ciations between work characteristics tend to be greater in
27. studies using standardized clinical interviews [29].
According to the ERI model, the combination of high
effort with low reward (job stress condition) [7] increases
the risks for future health outcomes and defines adverse
psychosocial work conditions. That claim has been con-
sistently corroborated in relation to mental health [25].
Our findings agree with the literature [26,20,14], showing
that ERI was associated with higher prevalence of CMD
(PR 5 2.01). A study conducted among 7766 military
[10] using the demand-control model demonstrated that
service personnel displaying job strain showed greater risk
of psychological symptoms. Other studies have shown
that military personnel with high levels of occupational
stress had significant rates of mental disorder and loss
of productivity. In the same direction, Pflanz and Ogle
[5] found that both job stress and depression were signif-
icantly associated with reduced job performance, more
days of absenteeism, greater morbidity and more negative
28. perceptions of superiors’ abilities.
The total score of the ERI model showed association
with CMD, indicating that OC is an important compo-
nent in overall perception of job stress. OC occurs out
of a desire for esteem and approval and can, consequently,
result in emotional exhaustion and also aggravate the
adverse effects of the situations investigated by the ERI
model [7]. ERI plus OC represents a risk for several
diseases [20], including mental disorders [3].
Our findings show that, independently of socio-
economic, demographic, lifestyle and job stress variables,
the rank of lieutenant was strongly associated with CMD,
with prevalence (50%) more than twice that of the other
officer ranks (22%). Fear et al. [10] showed that military
rank is associated with mental disorders. They found
that the category ‘commissioned officers’ was associated
with lower risk for psychological symptoms than ‘non-
commissioned officers’ and other ranks, which differs
29. somewhat from our findings. In an eminently hierarchical
environment, the higher the rank, the greater the plan-
ning role and, the lower the rank, the more executive ac-
tivities predominate. In such a context, the rank of
lieutenant displays certain specific characteristics: (i) it
is the lowest commissioned officer rank, the first
rank above the non-commissioned officer category
(sergeant-majors and sergeants); (ii) it has more superiors
to answer to than the other officer ranks; (iii) it is directly
responsible for the performance of duties to be carried out
by non-commissioned officers, corporals and privates;
(iv) it is the only officer rank that does guard duty, i.e.
remains in the barracks overnight on a duty roster basis,
safeguarding the security of the military unit and (v) it is
the rank most liable to undesirable geographical or func-
tional changes at work. These characteristics indicate that
there is a possibility of stress in certain differing and con-
comitant directions. In relation to the hierarchy, the need
30. for esteem and approval may be directed towards both
superiors and subordinates, given that it is quite common
for sergeants and sergeant-majors to have served many
more years in the armed forces than lieutenants, nearly
all of whom have been performing military duties for only
a few years. Also, the possibility of undesirable changes
at work, which is greater at the rank of lieutenant, is
established in the literature as a cause of stress [7].
The prevalence of CMD encountered (33%) was
slightly higher than found in the armed forces of devel-
oped countries: in the UK, the prevalence was 27%
[27] and in the USA, 28% [2]. The prevalence of
CMD in the overall population of developed countries
is slightly lower than in developing countries [3,28].
In Brazil, the prevalence of CMD in the general pop-
ulation ranges from 17 to 35% and varies by region. In
Rio de Janeiro, one study of 3754 civil servants found
a prevalence of 27% among men [23]. The higher prev-
31. alence of CMD among male military personnel can be
explained by factors such as the possibility of forced
changes at work that entail changes of function or even
relocation and can also be related to the military hierarchy,
as found in our results.
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Acknowledgements
Our thanks to the members of the Brazilian army who agreed to
32. take part in this study, and to the Director and Commanding
Officers of the military units involved who made it possible to
carry out this study by offering all necessary support.
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18. Landis JR, Koch GG. The measurement of observer agree-
ment for categorical data. Biometrics 1977;33:159–174.
19. BRASIL. Decreto n.� 5170, de 5 de agosto de 2004, Altera
os Quadros V e VI do Anexo ao Decreto no 4.967, de 30 de
janeiro de 2004, que dispõe sobre os efetivos do pessoal mil-
itar do Exército, em servicxo ativo, a vigorar em 2004. Diário
Oficial da Republica Federativa do Brasil, Brası́lia, DF,
n. 152, p. 3, Secxão 1. 9 ago, 2004.
20. Stansfeld S, Candy B. Psychosocial work environment and
mental health—a meta-analytic review. Scand J Work Envi-
ron Health 2006;32:443–462.
21. Kivimaki M, Hotopf M, Henderson M. Do stressful work-
ing conditions cause psychiatric disorders? Occup Med
(Lond) 2010;60:86–87.
22. Stansfeld SA, Fuhrer R, Shipley MJ, Marmot MG. Work
characteristics predict psychiatric disorder: prospective re-
sults from the Whitehall II Study. Occup Environ Med
36. 1999;56:302–307.
23. Lopes CS, Araya R, Werneck GL, Chor D, Faerstein E. Job
strain and other work conditions: relationships with psycho-
logical distress among civil servants in Rio de Janeiro, Brazil.
Soc Psychiatry Psychiatr Epidemiol 2010;45:345–354.
24. Kolstad HA, Hansen AM, Kaergaard A et al. Job strain and
the risk of depression: is reporting biased? Am J Epidemiol
2010;173:94–102.
25. Siegrist J. Chronic psychosocial stress at work and risk of
depression: evidence from prospective studies. Eur Arch
Psychiatry Clin Neurosci 2008;258(Suppl 5):115–119.
26. Kivimaki M, Virtanen M, Elovainio M, Kouvonen A,
Vaananen A, Vahtera J. Work stress in the etiology of coro-
nary heart disease—a meta-analysis. Scand J Work Environ
Health 2006;32:431–442.
27. Iversen A, van Staden L, Hughes J et al. The prevalence of
common mental disorders and PTSD in the UK military:
using data from a clinical interview-based study. BMC Psy-
37. chiatry 2009;9:68.
28. Patel V, Kleinman A. Poverty and common mental disor-
ders in developing countries. Bull World Health Organ
2003;81:609–615.
29. Dragano N, He Y, Moebus S, Jockel KH, Erbel R, Siegrist J.
Two models of job stress and depressive symptoms. Results
from a population-based study. Soc Psychiatry Psychiatr Epi-
demiol 2008;43:72–78.
Key points
• The prevalence of common mental disorders in
the Brazilian army in peacetime was 33%, which
was higher than those found in other studies.
• The effort-reward imbalance (high effort and low
reward) at work in military personnel was strong
and independently associated (prevalence ratio 5
2.01; confidence interval 95% 1.3–3.1) to common
mental disorders.
• Common mental disorders were twice as prevalent
at the rank of lieutenant as at the other ‘commis-
sioned officer’ ranks.
38. L. C. X. MARTINS AND C. S. LOPES: MILITARY
HIERARCHY, JOB STRESS AND MENTAL HEALTH 187
at E
vans L
ibrary P
eriodicals on M
ay 10, 2013
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ed.oxfordjournals.org/
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ow
nloaded from
http://occmed.oxfordjournals.org/
Quiz
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complete each question.
Question 1 (1 point)
When creating substitution values using the Series dialog box,
what is the last number used in the substitution values?
Question 1 options:
Stop value
39. Constraint
Integer
Step value
Save
Question 2 (1 point)
Which what-if analysis tool is best to determine the optimal
amount of shoes to produce in order to maximize profit and use
100% of materials?
Question 2 options:
Two-variable Data Table
Goal Seek
Scenario Manager
Solver
Save
Question 3 (1 point)
Which what-if analysis tool is best for manipulating one
variable to determine one result?
Question 3 options:
Scenario Manager
One-variable data table
Goal Seek
Solver
Save
Question 4 (1 point)
40. In order to complete a two-variable data table, which of the
following must be included in the table?
Question 4 options:
Absolute reference
Formula
Constraint
Integer
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Question 5 (1 point)
Which what-if analysis tool is best used for creating
optimization models?
Question 5 options:
Two-variable data table
Solver
One-variable data table
Goal Seek
Save
Question 6 (1 point)
Which dialog box enables you to specify the result cells for a
scenario summary report?
Question 6 options:
Scenario Values
Add Scenario
41. Solver Options
Scenario Summary
Save
Question 7 (1 point)
Which is the best tool for determining the optimal blend of
products to produce in order to maximize profit?
Question 7 options:
Goal Seek
Scenario Manager
Two-variable data table
Solver
Save
Question 8 (1 point)
Which of the following what-if analysis tools updates date in
real time?
Question 8 options:
Scenario Manager
One-variable data table
Solver
Goal Seek
Save
Question 9 (1 point)
Which what-if analysis tool is best suited to determine the exact
42. interest rate required for a $600 car payment repaid over five
years?
Question 9 options:
Goal Seek
Solver
Scenario Manager
One-variable data table
Save
Question 10 (1 point)
Which of the following options is required to complete a Solver
model?
Question 10 options:
Constraint
Scenario
Objective cell
Set cell
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Quiz 7
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complete each question.
Question 1 (1 point)
43. Which of the following functions does not support multiple
conditions?
Question 1 options:
MATCH
OR
NOT
AND
Save
Question 2 (1 point)
When using Advanced Filtering, the criteria range must contain
at least:
Question 2 options:
three rows.
one columns.
two rows.
three columns.
Save
Question 3 (1 point)
Which of the following has the ability to restrict data view to
only information that fits predetermined criteria?
Question 3 options:
INDEX
HLOOKUP
44. VLOOKUP
Advanced Filter
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Question 4 (1 point)
Which of the following database functions is best suited to add
total salaries from a database that are higher than $30,000?
Question 4 options:
DCOUNTA
DMAX
DMIN
DSUM
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Question 5 (1 point)
When using Advanced Filtering < > is the equivalent of:
Question 5 options:
equal to.
greater than.
not equal to.
less than.
Save
Question 6 (1 point)
In the function =IF(E5<J7,F5*K7,IF(E5<=J8,F5*K8,F5*K9)),
F5*K7 is the:
Question 6 options:
45. Value_if_true.
Modifier.
Value_if_false.
Logical_test.
Save
Question 7 (1 point)
Which of the following is not an argument in a database
function?
Question 7 options:
Criteria
Database
Filter
Field
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Question 8 (1 point)
If there are four possible outcomes, how many logical tests are
required?
Question 8 options:
4
3
2
1
46. Save
Question 9 (1 point)
When using Advanced Filtering empty cells in the criteria range
will return which of the following?
Question 9 options:
All records
No records
NA
Select records
Save
Question 10 (1 point)
When using the MATCH function with an exact match
lookup_value, the match type must be set to:
Question 10 options:
2.
-1.
1.
0.
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Quiz 8
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47. complete each question.
Question 1 (1 point)
Which feature of the Analysis ToolPak is best suited to
determine if samples were taken from the same population?
Question 1 options:
Descriptive Statistics
Correlation
Histogram
ANOVA
Save
Question 2 (1 point)
Which of the following functions will help determine the
strength of a relationship between two variables?
Question 2 options:
CORREL
VARPA
STDEV.P
VAR.P
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Question 3 (1 point)
What does the order argument of the RANK.EQ function
define?
Question 3 options:
48. The order in which numbers are ranked
The ranking order scale
The ranking stop value
The lowest ranked value
Save
Question 4 (1 point)
Which of the following tools is not included in the Analysis
ToolPak?
Question 4 options:
Rank Average
Covariance
Correlation
Anova: Single Factor
Save
Question 5 (1 point)
Which data analysis tool is best suited to measure how two sets
of data vary simultaneously?
Question 5 options:
Histogram
Variance
Correlation
Covariance
Save
49. Question 6 (1 point)
Which of the following is a new statistical function in Excel
2013?
Question 6 options:
CORREL
VARPA
STDEV.P
Skew.P
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Question 7 (1 point)
Which of the following functions will exclude quartiles 0 and 4
in its calculations?
Question 7 options:
QUARTILE.INC
PERCENTILE.EXC
QUARTILE
QUARTILE.EXC
Save
Question 8 (1 point)
What function is best suited to determine how often a set of
numbers appears within a dataset?
Question 8 options:
SUMIFS
50. SUMIF
FREQUENCY
AVERAGEIF
Save
Question 9 (1 point)
The second quartile of both QUARTILE.EXC and
QUARTILE.INC defines what percentile?
Question 9 options:
25th
0
75th
50th
Save
Question 10 (1 point)
Which of the following functions will determine the standard
deviation of a sample?
Question 10 options:
STDEV.S
STDEVA
VARA
STDEV.P
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Quiz9
Top of Form
Note: It is recommended that you save your response as you
complete each question.
Question 1 (1 point)
Which of the following is the proper format for a 3-D
reference?
Question 1 options:
Worksheet Name!RangeOfCells
"Worksheet Name"!RangeOfCells
'Worksheet Name!RangeOfCells'
'Worksheet Name'!RangeOfCells
Save
Question 2 (1 point)
What happens when data that is externally linked is edited and
both the source and destination file are open?
Question 2 options:
There will be no change
A security prompt appears
The links will automatically update
52. The links will not update
Save
Question 3 (1 point)
To group nonadjacent worksheet tabs:
Question 3 options:
click Group on the View tab.
click the first worksheet tab, press and hold Shift, and then
click the last worksheet tab.
right-click a worksheet tab and click Select All Sheets.
click the first worksheet tab, press and hold Ctrl, and then click
each additional worksheet tab.
Save
Question 4 (1 point)
When worksheets are grouped which of the following actions
will not occur across all worksheets?
Question 4 options:
Formatting
Data entry
Structural changes
Conditional formatting
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Question 5 (1 point)
When is the input message displayed in a cell that contains a
validation rule?
Question 5 options:
53. When the user violates a rule
When the workbook is opened
When the cell is clicked
When the cell is double-clicked
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Question 6 (1 point)
Which of the following functions cannot be used as a 3-D
formula?
Question 6 options:
AVERAGE
PMT
MAX
SUM
Save
Question 7 (1 point)
To group all worksheets:
Question 7 options:
right-click a cell and select All.
right-click a worksheet tab and click Select All Sheets.
click Group on the Data tab.
click Group on the View tab.
Save
54. Question 8 (1 point)
What happens if you rename the source file of a worksheet that
is used in an external reference?
Question 8 options:
The link will automatically update
A prompt to manually update the link appears
The linked data will appear in red text
The workbook will not open
Save
Question 9 (1 point)
Which of the following is not a way to remove panes from a
window that has been split?
Question 9 options:
Click Remove Split in the View tab
Drag a vertical split bar to the left or right edge of the
worksheet window
Click Split in the Window group
Double-click the split bar
Save
Question 10 (1 point)
What error will cause #NUM! to appear?
Question 10 options:
Misspelled name
55. Deleted cell reference
Invalid arguments in a function
Invalid range name
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Quiz 10
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complete each question.
Question 1 (1 point)
Once XML data is imported, where can the data source be
manipulated?
Question 1 options:
XML options box
View tab
XML Source task pane
Developer tab
Save
Question 2 (1 point)
When importing an Access database table, Excel:
Question 2 options:
imports the data in delimited format.
imports the data in CSV format.
57. What governing body created XML?
Question 5 options:
World Wide Web Consortium
ICANN
IEEE
The Computer Science Society
Save
Question 6 (1 point)
Which of the following options will refresh connections within
an Excel workbook?
Question 6 options:
Click Refresh in the Backstage area
Click anywhere in the connected data
Click Refresh All on the Connections group
Click Refresh in the Insert tab
Save
Question 7 (1 point)
Which of the following is a file type that cannot be imported
into Excel?
Question 7 options:
Text file
PDF
58. CAD
TIFF
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Question 8 (1 point)
Which of the following is an alternative to using the
CONCATENATE function?
Question 8 options:
SUM
:
&
+
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Question 9 (1 point)
Which of the following is the best option for transferring data
between incompatible systems?
Question 9 options:
XHTML
XML
CSS
HTML
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Question 10 (1 point)
Which of the following are settings that control how imported
data in cells connect to their source data?
59. Question 10 options:
Import settings
Link settings
Connection properties
Data range properties
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