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Lesson 3: Epi emiologyof
Readings Predictors for the Daily Value of Bitcoins
Required
enta Health
Frank, R.G., & Glied, S.A. (2009). Better but not Best: Recent
trends in the well-being of
the mentally ill. Health Affairs, 28(3), 637-648.
Kessler, R.C., McGonagle, K.A .. Zhao, S., Nelson, C.B.,
Hughes, M., Eshleman, S.,
Wittchen, H.U., & Kendler, K.S. (1994). Lifetime and 12-month
prevalence of
DSM-III-R psychiatric disorders in the United States: Results
from the National
Comorbidity Survey. Archives a/General Psychiatry 51,8-19.
National Survey on Drug Use and Health: Mental Health
Findings
hl:-rJ.
Pages 9-74 (skim).
WHO World Mental Health Survey Consortium (2004).
Prevalence, severity, and unmet
need for treatment of mental disorders in the World Health
Organization World
Mental Health Surveys. Journal a/the American Medical
Association, 291(21),
2581-90. -r
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Statistics are human faces with
the tears wiped off.
What is epidemiology and why is it important?
115.4 percent of American adults have a serious mental
illness" (Kessler et ol., 1998)
"Suicide is the 2nd leading cause of death among men 25-34 in
the United States" (Centers for Disease Contro!,2014)
"Serious mental illnesses cost society $193.2 billion in lost
earnings per year" (Kessler et al., 2008)
"Mental and behavioral disorders, such as depression, anxiety,
and drug use, are the primary drivers of disability worldwide
and caused over 40 million years of disability in 20- to 29-
year-olds" (WHO Organization, 2004)
Broadly speaking, epidemiology is the study of health and
illness in human populations
(Kleinbaum, Kupper & Morgenstern, 1982). More specifically,
epidemiology can fall
into two general areas. Descriptive epidemiological studies
examine the incidence and
prevalence of different health-related outcomes.
• Incidence rate: The rate at which new cases occur in a
population during a
specific period. For example:
2
o Missouri has the 18'h highest rate of suicide in the nation
among youth
10-2-1 year o Ids. In 2013, the rate was 18 higher than the
national
average (9.6-1 compared to 8.15 per 100,000 nationally).
(Centers for
Disease Control and Prevention, 2013).
• Prevalence rate: The proportion of a case that exists in a
population at a point
in time (usually expressed by a percentage). For example:
o "5.4 of all American adults have a serious mental illness"
(Kessler
et al., 1998)
Descriptive epidemiology also examines the occurrence of a
disease or health outcome
for different populations, such as age, gender, race, culture,
economic status, education,
occupation, etc. Descriptive epidemiological questions might
include:
1) What mental illnesses (including substance abuse) are most
common in the U.S.?
Internationally? Are there differences in the prevalence of these
illnesses
globally?
2) What mental illnesses are most common among children?
Adolescents? The
elderly?
3) What is the cost and burden of mental illness to society?
Are there differences
based upon the type of illness?
4) Do characteristics such as wealth, culture/race, occupation
or education affect a
person's mental health?
Analytic epidemiological studies explore the relationship
between risk factors and
antecedent conditions to health outcomes. These studies might
examine the effects of
parenting, school achievement, alcohol and drug use, exposure
to trauma, genetics,
religious upbringing or a host of other factors on a mental
health outcome. These studies
can be used to identify risk factors and assess the relative
strength of association of each
of these risk factors to the mental health outcome of interest
(also called correlational
research).
Examples of conclusions that might be reached as a result of an
analytic epidemiological
study might include:
1) Positive teacher-student relationships are strongly
correlated with low substance
use among adolescents (Missouri Student Survey. 2014)
2) Prior suicide attempts are among the strongest risk factors
for completed suicide"
(Moscicki, 1997)
3) Maternal prenatal poverty may be a risk factor for
schizophrenia (Cohen, 1993).
Questions to be answered in an analytic epidemiological study
might include:
1) Are some mental illnesses inherited? Environmentally
related? Induced by stress?
2) What is the impact of war on mental health? What is the
impact of natural
disasters on mental health?
3) Is mental health stigma more prevalent within certain
demographic groups?
3
4) What risk factors are related to suicide? Are there different
risk factors for those
who attempt suicide compared to those who complete suicide?
5) Are some people more resilient than others in their ability
to resist using alcohol
or other drugs? What characteristics make them more resilient?
6) Is there a relationship between schizophrenia and
violence?
Altogether, information from epidemiological studies can be
used to understand the
burden of disease and its associated costs, assess the health
needs of particular
populations, advocate and provide treatment to populations most
at risk, develop health-
care policies and allocate resources.
Study Quality
Because study and data quality can vary considerably depending
on a myriad of factors,
there are certain things to watch for when examining
epidemiological data. Some
questions to be considered in reviewing studies might include:
(1) Who funded the study? Did the funder have a vested
interest in the
outcomes (e.g., a drug company, an advocacy group, a political
party)?
(2) How were data collected? Were there procedures in
place to assure that
the data were reliably collected? How much documentation is
available on
the quality of the data collection process?
(3) How and by whom were the data analyzed?
(4) Were the studies peer reviewed? Cited by others?
(5) How long ago was the study conducted? How would
time gaps affect the
validity of the data?
(6) Was the data being used drawn randomly from a
population or is it a
convenience sample?
(7) How were data collected? Were there any flaws in the
data collection
process that would affect the study findings?
(8) Was the sample size large enough to be able to make
general statement
about a population?
(9) (For randomized or quasi-experimental control
designs) Were the
individuals in the study selected at random? Do they reflect the
population of interest?
Some Interesting Statistics
This week's readings include an extensive array of
epidemiological findings from major
studies that have been conducted over the past 20 years. There
are a few studies that
need to be highlighted.
First, the Epidemiologic Catchment Area (EDC) study in the
1980's and the National
Comorbidity Study in the early 1990's both surveyed the U.S.
adult population to assess
the prevalence of mental illness according to DSM-III and
DSM-III-R categorizations.
When taken together, they estimate that around 20 of the U.S.
population is affected by
mental illness in a given year, 3 percent have both mental and
substance abuse disorders,
6 percent have substance use disorders alone. Anxiety disorders
(phobia, generalized
4
anxiety disorder, panic disorder, OCD and PTSD) were most
prevalent (16.4) followed
by mood disorders (major depressive disorder, dysthymia, and
bipolar disorder)(7.1 ),
antisocial personality disorder (2.1 ) and schizophrenia (1.3).
From 2001 to 2003, the NCS was administered again, (the
National Comorbidity Survey
Replication [NCS-R]). Prevalence estimates based on several
analyses of these data
yielded different estimates. One estimated that 26.2 of adults
had a mental illness in a
twelve-month period (Kessler et aI., 2005). Another analysis of
CS-R data estimated
the 12-month prevalence of mental illness to be 32.4 among
adults. Differences in
estimates may be due to different analytical techniques, with the
higher estimate the
result of different weighting methods. Both estimates include
substance use. More
specific data from these studies are in your readings for this
week, or in the reference
section below.
In 2004, the World Health Organization (WHO) conducted a
global survey of mental
illness with a sample size of 60,463 (unfortunately, the WHO
has not updated these data
as of2014). As shown on the table below, in the U.S., anxiety
disorders were most
prevalent (16.4), followed by mood disorders (9.6), impulse
control disorders (6.8),
and substance use disorders (3.8). Mental illness was higher in
the U.S. than in any
other country surveyed.
Table 2. Twelve-Month Prevalence of World Mental Health
Composite lnternauonal Oragnosnc Interview/Diagnostic and
Steusticst Manual 01
Mentill Disorders. fourth t.dtuon
0/0 (95 Conftd~nce Int~rva~
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I 10.<: 1.7:rH 9.1 (7.3-108)
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5
Years Lost to Disability (YLD). YLD is the equivalent years of
healthy life lost
through time spent in a state of less than full health. When all
the years of life with
reduced capability for all the sufferers of each condition are
added up and weighted by
the disability weight, a total of YLD for each condition is
obtained.
Globally, unipolar depression accounts for the highest number
of years lost to disability
for both males and females. It is estimated that 41.0 million
years are lost to disability
among women worldwide and 24.3 million years among men.
Alcohol use is the 2nd
leading YLD among males. Schizophrenia is 5th and 6th among
men and women
respectively.
Leading global causes of YLD by sex, 2004
(Global Burden of Disease Report, 2004)
Males
Females
Unipolar depression
24.3
Unipolar depression
41.0
Alcohol use
19.9
Refractive errors
14.0
Hearing loss
14.1
Hearing loss, adult onset
13.3
Refractive errors
13.8
Cataracts
9.9
Schizophrenia
8.3
Osteoarthritis
9.5
Cataracts
7.9
Schizophrenia
8.0
Bipolar disorder
7.3
Anaemia
7.4
COPO
6.9
Bipolar disorder
7.1
Asthma
6.6
Birth asphyxia and birth trauma
6.9
Falls
6.9
Alzheimer and other dementias
5.8
Taken together, these data sources stress the importance of
treating mental health issues
to improving quality of life worldwide.
Data Sources for Epidemiological Research
Data for epidemiological studies come from a variety of
sources, including population
surveys and censuses, randomized control trials, cost studies,
existing records (e.g., crime
statistics, mortality data, child abuse and neglect data, etc.).
In addition to published articles and reports, there are data sets
that you can access on-
line if you want to do your own research with existing data.
Here is a website that has a
large list of national. state and local public health data sets and
we strongly encourage
you to explore them and see the extent to which they include
mental health related data.
In Missouri, there are several places you can go to get state-
specific data. Here is a
summary of some of the major datasets that might be of interest
that related to mental
health:
Years Lost to Disability (YLD). YLD is the equivalent years of
healthy life lost
through time spent in a state of less than full health. When all
the years of life with
reduced capability for all the sufferers of each condition are
added up and weighted by
the disability weight, a total of YLD for each condition is
obtained.
Globally, unipolar depression accounts for the highest number
of years lost to disability
for both males and females. It is estimated that 41.0 million
years are lost to disability
among women worldwide and 24.3 million years among men.
Alcohol use is the 2nd
leading YLD among males. Schizophrenia is 5th and 6th among
men and women
respectively.
Leading global causes of YLD by sex, 2004
(Global Burden of Disease Report, 2004)
Males
Females
Unipolar depression
24.3
Unipolar depression
41.0
Alcohol use
19.9
Refractive errors
14.0
Hearing loss
14.1
Hearing loss, adult onset
13.3
Refractive errors
13.8
Cataracts
9.9
Schizophrenia
8.3
Osteoarthritis
9.5
Cataracts
7.9
Schizophrenia
8.0
Bipolar disorder
7.3
Anaemia
7.4
COPO
6.9
Bipolar disorder
7.1
Asthma
6.6
Birth asphyxia and birth trauma
6.9
Falls
6.9
Alzheimer and other dementias
5.8
Taken together, these data sources stress the importance of
treating mental health issues
to improving quality of life worldwide.
Data Sources for Epidemiological Research
Data for epidemiological studies come from a variety of
sources, including population
surveys and censuses, randomized control trials, cost studies,
existing records (e.g., crime
statistics, mortality data, child abuse and neglect data, etc.).
In addition to published articles and reports, there are data sets
that you can access on-
line if you want to do your own research with existing data.
Here is a website that has a
large list of national, state and local public health data sets and
we strongly encourage
you to explore them and see the extent to which they include
mental health related data.
http: ph ~
In Missouri, there are several places you can go to get state-
specific data. Here is a
summary of some of the major datasets that might be of interest
that related to mental
health:
You can also visit the MICA data set housed in Missouri's
Department of Health and
Senior Services. They have statistics for births, deaths, disease
and illnesses to name a
few. nt.
6
Assignment and Group Discussion
The readings for this lesson are essential for anyone interested
in understanding the
prevalence of mental illness nationally and worldwide. In the
first part of this lesson,
four questions in the Descriptive Epidemiology section and six
questions in the Analytic
Epidemiology section were presented. Pick one of these
questions, and drawing from at
least two of the readings and other articles you may already be
familiar with, provide a
response. You must incorporate data from at least one dataset of
your choice (global,
national, state, etc.) into your discussion post. Discuss the
degree to which you think the
data you are citing are reliable and valid. Remember your
response should be posted to
Blackboard by Friday evening at 11 :00 p.m. and subsequent
discussion posts by Sunday
at 11 :00 p.m.
1) Are some mental illnesses inherited? Environmentally
related? Induced by stress?
References
Centers for Disease Control and Prevention, National Center for
Injury Prevention and
Control (2013). Web-based Injury Statistics Query and
Reporting System
(WISQARS) [online]. Available from URL:
Cohen, C. I. (1993). Poverty and the course of schizophrenia:
Implications for research
and policy. Hospital and Community Psychiatry, 44, 951-958.
Kessler, R.C., Heeringa, S., Lakoma, M.D., Petukhova, M.,
Rupp, A.E., Schoenbaum,
M., Wang, P.S., Zaslavsky. A.M. (2008). The individual-level
and societal-level
effects of mental disorders on earnings in the United States:
Results from the
National Comorbidity Survey Replication. American Journal of
Psychiatry 165,
703-711.
Kessler, R.C., Chiu, W.T., Denier, O. & Waters, E.E. (2005).
Prevalence. Severity, and
Comorbidity of Twelve-month DSM-IV Disorders in the
National Comorbidity
Survey Replication (NCS-R),Archives of General Psychiatry,
62(6), 617-627.
Kleinbaum, D.G., Kupper, L.L., Morgenstern, H. (1982).
Epidemiologic research:
principles and quantitative methods. Belmont; Lifetime
Learning Publications.
Missouri Student Survey (2014). Missouri Institute of Mental
Health report to the
Missouri Department of Mental Health.
Moscicki, E.K. (1997). Identification of suicide risk factors
using epidemiologic studies.
Psychiatric Clinics of North America, 20, 499-517.
7
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  • 1. Lesson 3: Epi emiologyof Readings Predictors for the Daily Value of Bitcoins Required enta Health Frank, R.G., & Glied, S.A. (2009). Better but not Best: Recent trends in the well-being of the mentally ill. Health Affairs, 28(3), 637-648. Kessler, R.C., McGonagle, K.A .. Zhao, S., Nelson, C.B., Hughes, M., Eshleman, S., Wittchen, H.U., & Kendler, K.S. (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: Results from the National Comorbidity Survey. Archives a/General Psychiatry 51,8-19. National Survey on Drug Use and Health: Mental Health Findings hl:-rJ. Pages 9-74 (skim). WHO World Mental Health Survey Consortium (2004). Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. Journal a/the American Medical Association, 291(21), 2581-90. -r 1
  • 2. shapeType75fBehindDocument1pWrapPolygonVertices8;8;(214 98,0);(0,0);(0,21496);(11281,21496);(11281,13329);(6219,1332 9);(6219,10632);(21498,10632)posrelh0posrelv0pib shapeType75fBehindDocument1pWrapPolygonVertices8;6;(215 00,0);(13467,0);(13467,7682);(0,7682);(0,21500);(21500,21500 )posrelh0posrelv0pib Statistics are human faces with the tears wiped off. What is epidemiology and why is it important? 115.4 percent of American adults have a serious mental illness" (Kessler et ol., 1998) "Suicide is the 2nd leading cause of death among men 25-34 in the United States" (Centers for Disease Contro!,2014) "Serious mental illnesses cost society $193.2 billion in lost earnings per year" (Kessler et al., 2008) "Mental and behavioral disorders, such as depression, anxiety, and drug use, are the primary drivers of disability worldwide and caused over 40 million years of disability in 20- to 29- year-olds" (WHO Organization, 2004) Broadly speaking, epidemiology is the study of health and illness in human populations (Kleinbaum, Kupper & Morgenstern, 1982). More specifically, epidemiology can fall into two general areas. Descriptive epidemiological studies examine the incidence and prevalence of different health-related outcomes. • Incidence rate: The rate at which new cases occur in a population during a specific period. For example: 2 o Missouri has the 18'h highest rate of suicide in the nation among youth 10-2-1 year o Ids. In 2013, the rate was 18 higher than the national
  • 3. average (9.6-1 compared to 8.15 per 100,000 nationally). (Centers for Disease Control and Prevention, 2013). • Prevalence rate: The proportion of a case that exists in a population at a point in time (usually expressed by a percentage). For example: o "5.4 of all American adults have a serious mental illness" (Kessler et al., 1998) Descriptive epidemiology also examines the occurrence of a disease or health outcome for different populations, such as age, gender, race, culture, economic status, education, occupation, etc. Descriptive epidemiological questions might include: 1) What mental illnesses (including substance abuse) are most common in the U.S.? Internationally? Are there differences in the prevalence of these illnesses globally? 2) What mental illnesses are most common among children? Adolescents? The elderly? 3) What is the cost and burden of mental illness to society? Are there differences based upon the type of illness? 4) Do characteristics such as wealth, culture/race, occupation or education affect a person's mental health? Analytic epidemiological studies explore the relationship between risk factors and antecedent conditions to health outcomes. These studies might examine the effects of parenting, school achievement, alcohol and drug use, exposure to trauma, genetics, religious upbringing or a host of other factors on a mental
  • 4. health outcome. These studies can be used to identify risk factors and assess the relative strength of association of each of these risk factors to the mental health outcome of interest (also called correlational research). Examples of conclusions that might be reached as a result of an analytic epidemiological study might include: 1) Positive teacher-student relationships are strongly correlated with low substance use among adolescents (Missouri Student Survey. 2014) 2) Prior suicide attempts are among the strongest risk factors for completed suicide" (Moscicki, 1997) 3) Maternal prenatal poverty may be a risk factor for schizophrenia (Cohen, 1993). Questions to be answered in an analytic epidemiological study might include: 1) Are some mental illnesses inherited? Environmentally related? Induced by stress? 2) What is the impact of war on mental health? What is the impact of natural disasters on mental health? 3) Is mental health stigma more prevalent within certain demographic groups? 3 4) What risk factors are related to suicide? Are there different risk factors for those who attempt suicide compared to those who complete suicide? 5) Are some people more resilient than others in their ability to resist using alcohol or other drugs? What characteristics make them more resilient? 6) Is there a relationship between schizophrenia and violence? Altogether, information from epidemiological studies can be
  • 5. used to understand the burden of disease and its associated costs, assess the health needs of particular populations, advocate and provide treatment to populations most at risk, develop health- care policies and allocate resources. Study Quality Because study and data quality can vary considerably depending on a myriad of factors, there are certain things to watch for when examining epidemiological data. Some questions to be considered in reviewing studies might include: (1) Who funded the study? Did the funder have a vested interest in the outcomes (e.g., a drug company, an advocacy group, a political party)? (2) How were data collected? Were there procedures in place to assure that the data were reliably collected? How much documentation is available on the quality of the data collection process? (3) How and by whom were the data analyzed? (4) Were the studies peer reviewed? Cited by others? (5) How long ago was the study conducted? How would time gaps affect the validity of the data? (6) Was the data being used drawn randomly from a population or is it a convenience sample? (7) How were data collected? Were there any flaws in the data collection process that would affect the study findings? (8) Was the sample size large enough to be able to make general statement about a population? (9) (For randomized or quasi-experimental control
  • 6. designs) Were the individuals in the study selected at random? Do they reflect the population of interest? Some Interesting Statistics This week's readings include an extensive array of epidemiological findings from major studies that have been conducted over the past 20 years. There are a few studies that need to be highlighted. First, the Epidemiologic Catchment Area (EDC) study in the 1980's and the National Comorbidity Study in the early 1990's both surveyed the U.S. adult population to assess the prevalence of mental illness according to DSM-III and DSM-III-R categorizations. When taken together, they estimate that around 20 of the U.S. population is affected by mental illness in a given year, 3 percent have both mental and substance abuse disorders, 6 percent have substance use disorders alone. Anxiety disorders (phobia, generalized 4 anxiety disorder, panic disorder, OCD and PTSD) were most prevalent (16.4) followed by mood disorders (major depressive disorder, dysthymia, and bipolar disorder)(7.1 ), antisocial personality disorder (2.1 ) and schizophrenia (1.3). From 2001 to 2003, the NCS was administered again, (the National Comorbidity Survey Replication [NCS-R]). Prevalence estimates based on several analyses of these data yielded different estimates. One estimated that 26.2 of adults had a mental illness in a twelve-month period (Kessler et aI., 2005). Another analysis of CS-R data estimated
  • 7. the 12-month prevalence of mental illness to be 32.4 among adults. Differences in estimates may be due to different analytical techniques, with the higher estimate the result of different weighting methods. Both estimates include substance use. More specific data from these studies are in your readings for this week, or in the reference section below. In 2004, the World Health Organization (WHO) conducted a global survey of mental illness with a sample size of 60,463 (unfortunately, the WHO has not updated these data as of2014). As shown on the table below, in the U.S., anxiety disorders were most prevalent (16.4), followed by mood disorders (9.6), impulse control disorders (6.8), and substance use disorders (3.8). Mental illness was higher in the U.S. than in any other country surveyed. Table 2. Twelve-Month Prevalence of World Mental Health Composite lnternauonal Oragnosnc Interview/Diagnostic and Steusticst Manual 01 Mentill Disorders. fourth t.dtuon 0/0 (95 Conftd~nce Int~rva~ Country Anxi~ty Mood trnpulse-Controt Substance Any Arne-cas CoIcmba ·C.O·S.c·l· .7) 08113.0·7 T'
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  • 11. Years Lost to Disability (YLD). YLD is the equivalent years of healthy life lost through time spent in a state of less than full health. When all the years of life with reduced capability for all the sufferers of each condition are added up and weighted by the disability weight, a total of YLD for each condition is obtained. Globally, unipolar depression accounts for the highest number of years lost to disability for both males and females. It is estimated that 41.0 million years are lost to disability among women worldwide and 24.3 million years among men. Alcohol use is the 2nd leading YLD among males. Schizophrenia is 5th and 6th among men and women respectively. Leading global causes of YLD by sex, 2004 (Global Burden of Disease Report, 2004) Males Females Unipolar depression 24.3 Unipolar depression 41.0 Alcohol use 19.9 Refractive errors 14.0 Hearing loss 14.1 Hearing loss, adult onset 13.3
  • 12. Refractive errors 13.8 Cataracts 9.9 Schizophrenia 8.3 Osteoarthritis 9.5 Cataracts 7.9 Schizophrenia 8.0 Bipolar disorder 7.3 Anaemia 7.4 COPO 6.9 Bipolar disorder 7.1 Asthma 6.6 Birth asphyxia and birth trauma 6.9 Falls 6.9 Alzheimer and other dementias 5.8 Taken together, these data sources stress the importance of treating mental health issues to improving quality of life worldwide. Data Sources for Epidemiological Research Data for epidemiological studies come from a variety of sources, including population surveys and censuses, randomized control trials, cost studies, existing records (e.g., crime
  • 13. statistics, mortality data, child abuse and neglect data, etc.). In addition to published articles and reports, there are data sets that you can access on- line if you want to do your own research with existing data. Here is a website that has a large list of national. state and local public health data sets and we strongly encourage you to explore them and see the extent to which they include mental health related data. In Missouri, there are several places you can go to get state- specific data. Here is a summary of some of the major datasets that might be of interest that related to mental health: Years Lost to Disability (YLD). YLD is the equivalent years of healthy life lost through time spent in a state of less than full health. When all the years of life with reduced capability for all the sufferers of each condition are added up and weighted by the disability weight, a total of YLD for each condition is obtained. Globally, unipolar depression accounts for the highest number of years lost to disability for both males and females. It is estimated that 41.0 million years are lost to disability among women worldwide and 24.3 million years among men. Alcohol use is the 2nd leading YLD among males. Schizophrenia is 5th and 6th among men and women
  • 14. respectively. Leading global causes of YLD by sex, 2004 (Global Burden of Disease Report, 2004) Males Females Unipolar depression 24.3 Unipolar depression 41.0 Alcohol use 19.9 Refractive errors 14.0 Hearing loss 14.1 Hearing loss, adult onset 13.3 Refractive errors 13.8 Cataracts 9.9 Schizophrenia 8.3 Osteoarthritis 9.5 Cataracts 7.9 Schizophrenia 8.0 Bipolar disorder 7.3 Anaemia 7.4
  • 15. COPO 6.9 Bipolar disorder 7.1 Asthma 6.6 Birth asphyxia and birth trauma 6.9 Falls 6.9 Alzheimer and other dementias 5.8 Taken together, these data sources stress the importance of treating mental health issues to improving quality of life worldwide. Data Sources for Epidemiological Research Data for epidemiological studies come from a variety of sources, including population surveys and censuses, randomized control trials, cost studies, existing records (e.g., crime statistics, mortality data, child abuse and neglect data, etc.). In addition to published articles and reports, there are data sets that you can access on- line if you want to do your own research with existing data. Here is a website that has a large list of national, state and local public health data sets and we strongly encourage you to explore them and see the extent to which they include mental health related data. http: ph ~ In Missouri, there are several places you can go to get state-
  • 16. specific data. Here is a summary of some of the major datasets that might be of interest that related to mental health: You can also visit the MICA data set housed in Missouri's Department of Health and Senior Services. They have statistics for births, deaths, disease and illnesses to name a few. nt. 6 Assignment and Group Discussion The readings for this lesson are essential for anyone interested in understanding the prevalence of mental illness nationally and worldwide. In the first part of this lesson, four questions in the Descriptive Epidemiology section and six questions in the Analytic Epidemiology section were presented. Pick one of these questions, and drawing from at least two of the readings and other articles you may already be familiar with, provide a response. You must incorporate data from at least one dataset of your choice (global, national, state, etc.) into your discussion post. Discuss the degree to which you think the data you are citing are reliable and valid. Remember your response should be posted to Blackboard by Friday evening at 11 :00 p.m. and subsequent discussion posts by Sunday at 11 :00 p.m. 1) Are some mental illnesses inherited? Environmentally related? Induced by stress? References Centers for Disease Control and Prevention, National Center for Injury Prevention and Control (2013). Web-based Injury Statistics Query and
  • 17. Reporting System (WISQARS) [online]. Available from URL: Cohen, C. I. (1993). Poverty and the course of schizophrenia: Implications for research and policy. Hospital and Community Psychiatry, 44, 951-958. Kessler, R.C., Heeringa, S., Lakoma, M.D., Petukhova, M., Rupp, A.E., Schoenbaum, M., Wang, P.S., Zaslavsky. A.M. (2008). The individual-level and societal-level effects of mental disorders on earnings in the United States: Results from the National Comorbidity Survey Replication. American Journal of Psychiatry 165, 703-711. Kessler, R.C., Chiu, W.T., Denier, O. & Waters, E.E. (2005). Prevalence. Severity, and Comorbidity of Twelve-month DSM-IV Disorders in the National Comorbidity Survey Replication (NCS-R),Archives of General Psychiatry, 62(6), 617-627. Kleinbaum, D.G., Kupper, L.L., Morgenstern, H. (1982). Epidemiologic research: principles and quantitative methods. Belmont; Lifetime Learning Publications. Missouri Student Survey (2014). Missouri Institute of Mental Health report to the Missouri Department of Mental Health. Moscicki, E.K. (1997). Identification of suicide risk factors using epidemiologic studies. Psychiatric Clinics of North America, 20, 499-517. 7