1 page synopsis
ORIGINAL PAPER
Posttraumatic stress disorder and alcohol misuse among women: effects of ethnic minority stressors
Sherry Lipsky1 • Mary A. Kernic2 • Qian Qiu1 • Deborah S. Hasin3
Received: 4 October 2014 / Accepted: 4 August 2015 / Published online: 13 August 2015
� Springer-Verlag Berlin Heidelberg 2015
Abstract
Purpose The aims of this study were to examine the
relationship between adult-onset posttraumatic stress dis-
order (PTSD) and subsequent alcohol use outcomes (fre-
quent heavy drinking, alcohol abuse, and alcohol
dependence) in non-Hispanic white, non-Hispanic black,
and Hispanic US women, and whether this relationship was
moderated by ethnic minority stressors (discrimination and
acculturation).
Methods The study sample was drawn from two waves of
the National Epidemiologic Surveys of Alcohol and Rela-
ted Conditions, employing time-dependent data to conduct
multiple extended Cox regression.
Results Women with PTSD were over 50 % more likely
than those without PTSD to develop alcohol dependence
[adjusted hazards ratio (aHR) 1.55; 95 % confidence
interval (CI) 1.15, 2.08]. Hispanic and black women were
at lower risk of most alcohol outcomes than white women.
In race-/ethnic-specific analyses, however, PTSD only
predicted alcohol abuse among Hispanic women (aHR
3.02; CI 1.33, 6.84). Higher acculturation was positively
associated with all alcohol outcomes among Hispanic
women and discrimination was associated with AUD
among Hispanic and black women. Acculturation and
discrimination modified the effect of PTSD on AUD
among Hispanic women: PTSD predicted alcohol depen-
dence among those with low acculturation (aHR 10.2; CI
1.27, 81.80) and alcohol abuse among those without
reported discrimination (aHR 6.39; CI 2.76, 16.49).
Conclusions PTSD may influence the development of
hazardous drinking, especially among Hispanic women.
The influence of PTSD on alcohol outcomes is most
apparent, however, when ethnic minority stressors are not
present.
Keywords Posttraumatic stress disorder � Alcohol misuse � Race/ethnicity � Longitudinal analysis
Introduction
PTSD is associated with alcohol misuse, although temporal
precedence has not been as widely established [1–6].
Additionally, the effects of the PTSD–alcohol association
among population subgroups have not been fully exam-
ined, although rates of PTSD and alcohol use disorders
(AUD) differ by gender, race, and ethnicity [7–16].
Acculturation and discrimination add to the complexity of
race- and ethnicity-specific effects of PTSD on alcohol
misuse. Thus, it is important to consider whether these
stressors help to explain the disparate results of studies to
date on the intersection of PTSD and alcohol misuse
among racial and ethnic minority women.
Temporal precedence of PTSD
The self-medication theory posits that PTSD precedes AUD,
given that alcohol may offset or reverse psychic numbing,
feelings of estrangement, and detachment in low to moderate
& Sherry Lipsky lipsky@u.washington.edu
1 Department of Psychiatry and Behavioral Sciences,
University of Washington at Harborview Medical Center,
Seattle, WA, USA
2 Department of Epidemiology, University of Washington
School of Public Health, Seattle, WA, USA
3 Columbia University/New York State Psychiatric Institute,
New York, NY, USA
123
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
DOI 10.1007/s00127-015-1109-z
doses, and that it can dampen emotional flooding in high,
‘hypnotic’ doses [17, 18]. Thus, it is plausible that individuals
with PTSD are likely to self-medicate the negative effects
associated with major trauma. Nevertheless, study findings
have been inconsistent. For example, PTSD preceded AUD in
the majority (65–84 %) of comorbid individuals in the
National Comorbidity Survey [2, 3]. However, other studies
have found adjustment for other important confounders, such
as pre-existing AUD and other psychiatric disorders, to
challenge the validity of these results [4, 5]. Furthermore,
some research in this area has shown gender-specific effects of
trauma exposure and PTSD on AUD [5, 6] which may, when
ignored, help explain the inconsistency in study findings.
Race/ethnicity
Little is known about how race or ethnicity might moderate
the PTSD–alcohol misuse relationship. Although lower
rates of AUD have been revealed among blacks and His-
panics compared to non-Hispanic whites in the majority of
studies [7–10], findings have been mixed with regard to
PTSD [11–13, 19]. A recent meta-analysis focused on
Hispanics found consistent support for elevated rates of
PTSD onset and severity among Hispanics relative to non-
Hispanic whites [11]. On the other hand, the prevalence of
PTSD was found to be greater among blacks, but not
Hispanics, compared to non-Hispanic whites in a nationally
representative US sample [13]. In addition, blacks may be
at greater risk of persistent anxiety disorders compared to
non-Hispanic whites [20, 21], perhaps as a result of higher
or chronic exposure to discrimination [20, 22, 23]. Ethnic
minorities are also less likely to receive treatment for
PTSD [24], and persistent or untreated PTSD may provide
an avenue for increased risk of AUD [21, 25–27]. Further
research is needed to more clearly define the longitudinal
relationship between PTSD and subsequent alcohol misuse
and to better attend to gender, race, ethnicity, and ethnic
minority stressors.
Acculturation
Acculturation (adoption of dominant culture practices and
values) may help to explain racial and ethnic disparities in
PTSD and alcohol misuse. Traditional family networks and
traditional culture may have protective effects and likely
decrease exposure to social stress or at least buffer the
impact of that stress [28–31]. Thus, not only would PTSD
be less common among less acculturated Hispanics but,
once acquired, social support and identification with tra-
ditional culture may decrease any secondary risk of alcohol
misuse.
Previous research has revealed that higher acculturation
among Hispanics is associated with both PTSD [32–34]
and alcohol misuse [35–41]. Much of this research, how-
ever, has involved proxy measures of acculturation (na-
tivity or length of US residence) rather than specific
acculturation measures [7, 32, 42, 43]. Moreover, US
nativity and higher acculturation are associated with
comorbid alcohol and mental disorders, at least in cross-
sectional surveys [43, 44]. US-born women are signifi-
cantly more likely than immigrant women of Mexican
origin, for example, to have a comorbid AUD and anxiety
disorder [44] or to have comorbid psychiatric and sub-
stance use disorders [43]. What has not been studied is the
effect of acculturation on the longitudinal relationship
between PTSD and alcohol outcomes.
Discrimination
Discrimination, or the experience of ‘othering’ [45], can be
conceptualized as a stressful life event or series of events
that may affect mental health [46–49]. Discrimination has
been associated with alcohol misuse and mental health
disorders in several studies [22, 41, 50–57]. For example,
data from the National Epidemiologic Surveys on Alcohol-
Related Conditions (NESARC) [55] revealed that dis-
crimination was significantly associated with AUD among
female respondents and black respondents, but not His-
panics. On the other hand, a 15-year follow-up study of
young adults found that any past year alcohol use, but not
binge drinking, was significantly associated with higher
levels and longer duration of discrimination among blacks
[58]. Although most studies have not conducted gender-
and ethnic-specific analyses, findings from the National
Latino and Asian American Study suggest that discrimi-
nation is associated with an increased odds of AUD among
Hispanic women, but not men [59, 60].
While studies of discrimination and mental health have
revealed significant relationships, the majority of studies
have involved either generic measures of discrimination or
mental health [22, 50, 52, 56, 61–65]. Results from a rel-
atively recent meta-analysis showed an increased proba-
bility of manifesting clinical levels of mental illness
associated with experience of any type of discrimination
[56]. Other studies have found experience of racial or
ethnic discrimination to be associated with increased psy-
chological distress among blacks, Mexican Americans, and
other Hispanics [56, 66]. In one of the few studies to
examine the effect of racial/ethnic discrimination on the
PTSD–alcohol relationship, college students reporting
discrimination at the baseline interview were found to be at
risk for developing symptoms of posttraumatic stress and
increased maladaptive alcohol use 1 year later [67]. PTSD
symptomatology was not assessed at baseline, however. In
sum, little is known about the temporal relationship
between PTSD and alcohol outcomes among women with
408 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
regard to racial/ethnic status or the role of ethnic minority
stressors. This study focused specifically on women, given
their increased risk of PTSD and their greater levels of
chronicity and severity of PTSD [14, 15]. Although the
prevalence of AUD is greater among men [10, 16], men in
the civilian population with comorbid PTSD and AUD are
more likely to have secondary PTSD, while women are
more likely to have primary PTSD [2].
The current study addresses these gaps in the literature
by examining the temporal relationship between adult-on-
set PTSD and subsequent alcohol use outcomes (frequent
heavy drinking, alcohol abuse, and alcohol dependence)
and whether this differs between non-Hispanic white, non-
Hispanic black, and Hispanic US women. This study also
examines whether ethnic minority stressors (discrimination
and acculturation) moderate the PTSD–alcohol relation-
ship. We hypothesized that ethnic minority women with
PTSD are at greater risk of poor alcohol outcomes than
non-Hispanic white women, and that those with higher
acculturation or discrimination would be at further risk.
This study has the unique potential of identifying racial-/
ethnic-specific risk factors associated with poor alcohol
outcomes in the milieu of trauma, which can inform the
development of secondary prevention and intervention
efforts targeting PTSD-affected women.
Materials and methods
Sampling methodology
The study sample was drawn from two waves of NESARC.
These surveys have been previously described elsewhere in
detail [68]. In brief, Wave 1 of NESARC was conducted in
2001–2002 and Wave 1 respondents were re-interviewed in
Wave 2 (2004–2005). The sample was weighted to adjust
for nonresponse at the household and person levels; the
selection of one person per household; and over-sampling
of young adults, Hispanics, and non-Hispanic blacks. Once
weighted, the data were adjusted to be representative of the
US population based on the 2000 Decennial Census. The
survey response rate was 81 % for Wave 1 and 86.7 % for
Wave 2; the overall cumulative survey response rate
including both waves was 70.2 %.
The current study includes 11,308 non-Hispanic white
(hereafter referred to as white), 4261 non-Hispanic African
American/black (hereafter referred to as black), and 3640
Hispanic females. The small sample size (\5 %) of other races/ethnicities precluded their inclusion. This study also
focuses exclusively on adult-onset PTSD and subsequent
AUD outcomes given that the majority of PTSD among
women first occurs in adulthood [69]. We followed sub-
jects through time beginning at age 18 until an occurrence
of an alcohol outcome or censoring at Wave 2 follow-up
(i.e., at the time of the interview at Wave 2). Subjects with
alcohol outcomes prior to age 18 or preceding the onset of
PTSD were excluded.
Measures
PTSD
A diagnosis of PTSD was based on the Alcohol Use
Disorder and Associated Disability Interview Schedule-
DSM-IV Version (AUDADIS-IV), using the only or
‘worst’ traumatic event experienced by the respondent.
Test–retest reliabilities of a lifetime diagnosis is good
(j = 0.65) and the internal consistency of symptom scales associated with PTSD is acceptable (a = 0.69) [70]. Age of onset was missing for \1 %. History of PTSD was modeled as a time-dependent dichotomous variable (0/1)
coded as positive from the age of PTSD onset forward.
Alcohol measures
Frequent heavy drinking is defined as 4? drinks among
women in a single day at least once a month in the
respondent’s heaviest drinking period based on quantity/
frequency measures. The reliability of these measures is
good [intraclass correlation coefficient (ICC) 0.70] [71].
Age of onset was missing for \1 %. The AUDADIS-IV [71] was used to measure alcohol abuse (without depen-
dence) and alcohol dependence (with or without abuse)
diagnoses. Reliabilities associated with lifetime and past
year alcohol abuse and dependence diagnoses were good
(j = 0.70 and 0.74, respectively) [71]. Age of onset for alcohol abuse alone and alcohol dependence with or
without abuse was missing for 6.0–7.8 and 0.0–1.6 %,
respectively, of study respondents, with only minor dif-
ferences by race/ethnicity.
Explanatory/potentially confounding factors
Socio-demographic characteristics
Measures from Wave 2 included self-identified race and
Hispanic ethnicity (non-Hispanic white and non-Hispanic
black); age (in years); education (in years); marital status,
marital status change from Wave 1; health insurance in past
year; and total household income in past year. Multiracial
respondents were categorized by NESARC according to
the following order of preference: (1) black or African
American, (2) American Indian and Alaska Native, (3)
Native Hawaiian and other Pacific Islander, (4) Asian, and
(5) white. Nativity and years lived in the USA were cate-
gorized among Hispanic respondents as having lived in the
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 409
123
USA for 20 or more years (or born in the USA);
10–19 years; 5–9 years; or \5 years. Too few black (\10 %) and white (\5 %) respondents were born outside of the USA to be categorized as such.
Social support and social networks
Social support/networks were assessed at Wave 2 by two
instruments. The Interpersonal Support Evaluation List
(ISEL12) [70] measures the respondents’ perceptions of the
current availability to them of potential social resources
(e.g., ‘‘If I were sick, I know I would find someone to help
me with my daily chores’’). The Social Network Index [70]
assesses participation in 12 types of social relationships
with whom the respondent had contact with at least once
every 2 weeks, recoded as number of network types. The
test–retest reliability for these instruments is good
(ICC = 0.63 and 0.70, respectively) [70].
Major depressive disorder
Major depressive disorder (MDD) was defined as ever
having a DSM-IV MDD diagnosis (excluding substance-
induced disorders and those due to a general medical
condition). Test–retest reliabilities for the past year and
lifetime diagnoses were good (j = 0.59 and 0.65, respec- tively) as were those for symptom scales (ICC 0.71) [70,
71]. To account for the effect of treatment on depression,
depression was categorized as no depression, depression
with any treatment for depression over the lifetime (sought
help from ‘counselor/therapist/doctor/other person’, went
to the emergency room, or was hospitalized), and depres-
sion without any treatment.
Family history
Family history of problem drinking/alcoholism has been
well established as a useful indicator in determining a
clinical prognosis of AUD [72]. To control for this as a
potential confounder, family history was assessed by ask-
ing if any blood/natural relative (parents, siblings, children)
was ever ‘‘an alcoholic or problem drinker’’. Responses
were recoded as the proportion of first-degree relatives who
were alcoholic/problem drinkers (0, \25, 15–49, and C50 %).
Moderating variables
Acculturation
This measure is based on the 11-item acculturation scale
adapted from the Brief Acculturation Rating Scale-II for
Mexican Americans [73–77]. Acculturation items focused
strongly on language use (current and in childhood), pro-
ficiency, and preference, as well as race–ethnic social
preferences, and rated using a five-point scale (1–5). The
test–retest reliability of the acculturation scale is excellent
(ICC 0.79) and the internal consistency is good (a = 0.85) [70]. For the purposes of this study, acculturation was
categorized as low (11–21), medium (35–43), and high
(44–55); due to sample size constraints, acculturation was
dichotomized as low (11–21) vs. moderate to high (12–55)
in main effects models of AUD and when testing effect
modification.
Discrimination
The ethnic and racial discrimination scales in the AUDA-
DIS-IV were modeled after the Experiences with Dis-
crimination scales developed by Krieger et al. [78–81]. The
original scales were expanded to reflect the past 12 months
and prior to the past 12 months. Good test–retest reliability
(ICC 0.68 and 0.64 for prior to last 12 months and past
12 months, respectively) was demonstrated, and internal
consistency (a = 0.69 and 0.74, respectively) was accept- able [70]. For the purposes of this study, the two time
periods were combined to create a lifetime measure of
discrimination and dichotomized (ever/never) due to sam-
ple size constraints.
Data analysis
Descriptive statistics were used to compare socio-demo-
graphic, PTSD, and alcohol factors by race/ethnicity. We
used extended Cox regression which, unlike the general
form of proportional hazards Cox regression, allows for the
examination of covariates that are time dependent (change
value with time). The resultant risk estimate, the hazard
ratio, is the ratio of instantaneous risk of the outcome
among the exposed relative to the unexposed and is
roughly comparable in its interpretability to a relative risk.
Adjusted hazard ratios (aHR) and 95 % confidence inter-
vals (CI) were calculated for the first onset of each outcome
(frequent heavy drinking, alcohol abuse, and alcohol
dependence) among respondents with prior adult-onset
PTSD compared to those without PTSD for the total
sample and by race/ethnicity. In each model, socio-demo-
graphic factors were retained as a block and the remaining
potential confounders were retained in the model if they
were independently associated with the outcome (p B 0.10
at entry to allow for only the potentially relevant variables
to be included) or if they confounded the exposure–out-
come relationship (C10 % change in exposure–outcome
HR) [82]. These factors have been associated with PTSD
and/or AUD in prior research [72, 83–91]. As previously
noted, family history of alcohol misuse (problem drinking/
410 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
alcoholism) is a well-established risk factor for alcohol use
disorders [72]. Depression and social support or social
networks have been shown to have a strong association
with PTSD [15, 92] and comorbid AUD [90]. A time-
varying covariate for alcohol abuse was also included in
the alcohol dependence models, given the high prevalence
of co-occurrence of abuse and dependence and apparent
heterogeneity across racial/ethnic groups [93, 94]. Accul-
turation and nativity among Hispanics and discrimination
among Hispanic and black women were also examined as
independent predictors in subsequent models. Finally,
effect modification of the exposure–outcome relationship
by acculturation among Hispanic women and discrimina-
tion among black and Hispanic women were examined for
each outcome; if the interaction term was significant at
p B 0.10, estimates were calculated for the exposure and
referent groups. Due to sample size constraints, accultur-
ation/nativity and discrimination among Hispanic women
were assessed in separate models.
Since \10 % of cases were missing data on any of the covariates of interest, we conducted complete case analysis
rather than employing multiple imputation. STATA MP 11
(Stata Corporation, College Station, TX, USA), which
accounted for the complex survey design of NESARC, was
employed for all analyses.
Results
Sample description
Significant racial/ethnic differences were revealed in socio-
demographic and alcohol factors among respondents
(Table 1). Of note, black and Hispanic women were more
likely to be younger and to have lower socioeconomic
status than white women, but were less likely to have a
family history of problem drinking, frequent heavy drink-
ing, and AUD. Black women were least likely to be
married.
Survival analysis
Main effects models
Table 2 illustrates the findings of the main effects models
predicting lifetime risk of each alcohol outcome associated
with prior adult-onset PTSD in the total sample and by
race/ethnicity. In the total sample, women with PTSD were
approximately 50 % more likely to develop alcohol
dependence compared to those without PTSD (aHR 1.55;
CI 1.15, 2.08). Black and Hispanic women were at
decreased risk of most alcohol outcomes. MDD with or
without treatment was positively associated with poor
alcohol outcomes, while increased social networks and, to
a lesser degree, social support were protective. Concurrent
alcohol abuse also predicted alcohol dependence.
Race/ethnicity
In ethnic-specific analyses, PTSD predicted alcohol abuse
only among Hispanics (aHR 3.02; CI 1.33, 6.84). MDD
estimates varied by alcohol outcome and by race/ethnicity.
MDD without treatment was consistently associated with
poor alcohol outcomes across all racial/ethnic groups,
while MDD with treatment was associated with alcohol
abuse only among whites and with alcohol dependence in
all groups. Concurrent alcohol abuse was positively asso-
ciated with alcohol dependence in each group, although the
estimates were significantly higher among black and His-
panic women. Increased social networks were protective of
poor alcohol outcomes among white women and, to a lesser
degree, among black women. On the other hand, lower
social support was positively associated with alcohol
dependence among white women and protective of fre-
quent heavy drinking and alcohol abuse among Hispanic
women.
Ethnic minority stressors
Acculturation
Higher acculturation was associated with poor alcohol
outcomes among Hispanic women (data not shown).
Women with medium and high acculturation (scoring
35–43 and 44–55, respectively) were three times more
likely than those with low acculturation (aHR 3.15, CI
1.16, 8.58 and aHR 3.48, CI 1.35, 8.95, respectively) to be
frequent heavy drinkers. Similar findings were revealed for
alcohol abuse and alcohol dependence (high/medium vs.
low acculturation: aHR 3.55, CI 1.91, 6.61 and aHR 3.56,
CI 1.58, 8.01, respectively). In addition, having been born
outside the USA was protective of alcohol dependence
(aHR 0.43, CI 0.23, 0.80).
Discrimination
Discrimination was positively associated with alcohol
outcomes among black and, to a lesser degree, Hispanic
women (data not shown). Hispanic women experiencing
discrimination were 70 % more likely to have alcohol
abuse than their counterparts who did not report discrimi-
nation (aHR 1.68, CI 1.06, 2.67). Similarly, black women
experiencing discrimination were 50–80 % more likely
than those without reported discrimination to have alcohol
abuse or alcohol dependence (aHR 1.46, CI 1.05, 2.03 and
aHR 1.82, CI 1.27, 2.61, respectively).
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 411
123
Ethnic minority stressors as effect modifiers
Acculturation moderated the relationship between PTSD
and alcohol dependence among Hispanic women (data not
shown). PTSD predicted alcohol dependence among those
with lower acculturation (aHR 10.2; CI 1.27, 81.80), but
not among those with higher acculturation (aHR 1.14; CI
0.46, 2.87). Discrimination moderated the relationship
Table 1 Descriptive characteristics of female respondents: National Epidemiologic Survey on Alcohol and Related Conditions, 2001–2002 and 2004–2005
Characteristic Total sample Non-Hispanic white Non-Hispanic black Hispanic
N % SE N % SE N % SE N % SE
Age group***
20–29 2657 15.67 0.38 1374 13.91 0.45 586 18.79 0.79 697 23.62 1.08
30–39 3751 17.90 0.35 1927 16.16 0.39 867 20.80 0.82 957 26.02 1.01
40–49 4015 21.01 0.40 2233 20.61 0.49 932 22.18 0.77 850 22.30 0.85
50–59 3265 17.56 0.34 2013 18.37 0.42 766 16.84 0.64 486 13.18 0.69
60–69 2262 11.46 0.30 1428 12.27 0.34 539 10.53 0.49 295 7.22 0.67
70? 3259 16.40 0.36 2333 18.69 0.44 571 10.87 0.55 355 7.66 0.70
Marital status***
Married 8995 57.13 0.68 5927 61.25 0.61 1179 33.33 0.91 1889 56.52 1.82
Cohabiting 562 2.94 0.17 294 2.53 0.18 89 2.48 0.26 179 6.09 0.64
Separated/widowed/divorced 6250 24.85 0.42 3653 24.37 0.47 1677 31.94 0.85 920 20.21 1.18
Never married 3402 15.08 0.49 1434 11.85 0.41 1316 32.24 0.90 652 17.18 1.09
Education***
\High school 3112 13.79 0.55 1181 10.29 0.37 779 16.4 0.88 1152 33.6 2.02 High school diploma 5370 28.30 0.51 3197 28.71 0.57 1266 29.34 1.02 907 24.48 1.01
Some college 6138 32.79 0.54 3704 33.00 0.65 1392 35.07 0.95 1042 28.92 1.38
Bachelor’s degree or higher 4589 25.12 0.62 3226 28.00 0.71 824 19.18 0.92 539 13.00 1.30
Household income***
\20,000 5307 22.34 0.57 2544 19.25 0.56 1675 35.65 1.26 1088 27.79 1.47 20,000–49,999 6921 35.15 0.54 3903 33.59 0.64 1587 38.24 0.86 1431 41.84 1.41
50,000–99,999 4968 29.46 0.55 3304 31.80 0.59 791 20.48 1.01 873 24.17 1.37
100,000? 2013 13.05 0.53 1557 15.36 0.66 208 5.63 0.61 248 6.20 0.62
Health insurance category***
Private insurance 12,536 69.62 0.75 8350 75.14 0.58 2314 54.70 1.19 1872 50.25 1.91
Medicare 2273 9.75 0.30 1174 9.05 0.34 709 14.64 0.63 390 8.91 0.93
Subsidized insurance 1738 7.23 0.40 599 4.93 0.28 584 13.20 0.76 555 15.52 1.63
No health insurance 2617 13.41 0.46 1158 10.88 0.41 642 17.46 1.16 817 25.31 1.57
Adult-onset frequent heavy drinking***
Yes 2552 14.44 0.47 1787 16.01 0.53 404 10.03 0.74 361 9.33 0.66
No 15,878 85.56 0.47 9002 83.99 0.53 3710 89.97 0.74 3166 90.67 0.66
Adult-onset alcohol abuse***
Yes 1844 11.33 0.45 1369 13.17 0.48 271 6.93 0.64 204 4.89 0.53
No 15,011 88.67 0.45 8288 86.83 0.48 3616 93.07 0.64 3107 95.11 0.53
Adult-onset alcohol dependence***
Yes 1613 10.17 0.41 1084 11.12 0.44 294 8.05 0.66 235 6.99 0.70
No 15,011 89.83 0.41 8288 88.88 0.44 3616 91.95 0.66 3107 93.01 0.70
Adult-onset PTSD***
Yes 1747 8.70 0.28 1003 8.43 0.32 435 9.89 0.67 309 9.12 0.81
No 17,462 91.30 0.28 10,305 91.57 0.32 3826 90.11 0.67 3331 90.88 0.81
PTSD posttraumatic stress disorder, SE standard error
*** Significant difference between racial/ethnic groups p \ 0.001
412 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
Table 2 Main effects models predicting lifetime risk of alcohol outcomes associated with prior adult-onset PTSD among female respondents by race/ethnicity, National Epidemiologic Survey on Alcohol and Related Conditions, 2001–2002 and 2004–2005
Risk factors Total sample Non-Hispanic white Non-Hispanic black Hispanic
HR 95 % CI HR 95 % CI HR 95 % CI HR 95 % CI
Frequent heavy drinking
PTSD 1.23 0.78–1.95 1.08 0.55–2.09 1.43 0.74–2.77 1.94 0.67–5.64
Race/ethnicity a
– – – – –
Black 0.70 0.51–0.96
Hispanic 0.58 0.44–0.76
MDD b
MDD with treatment 1.22 0.98–1.53 1.15 0.90–1.46 1.16 0.64–2.10 2.30 1.22–4.35
MDD w/o treatment 1.56 1.22–2.00 1.40 1.01–1.94 1.68 1.01–2.80 2.69 1.34–5.39
Social networks c
0.86 0.80–0.92 0.85 0.78–0.92 0.85 0.74–0.98 –
Social support 4
– – – – – –
Fair 0.54 0.31–0.95
Low 0.42 0.24–0.72
Alcohol abuse
PTSD 1.19 0.84–1.68 1.11 0.73–1.69 0.82 0.36–1.87 3.02 1.33–6.84 e
Race/ethnicity a
– – – – – –
NH black 0.46 0.37–0.58
Hispanic 0.43 0.34–0.55
MDD b
MDD with treatment 1.33 1.12–1.60 1.28 1.05–1.57 1.25 0.67–2.35 2.55 1.56–4.16
MDD w/o treatment 1.43 1.14–1.80 1.39 1.08–1.77 1.98 1.24–3.16 1.53 0.72–3.25
Social networks c
0.93 0.88–0.98 0.92 0.87–0.98 – –
Social support d
– – – – – –
Fair 0.71 0.45–1.13
Low 0.57 0.34–0.97
Alcohol dependence
PTSD 1.55 1.15–2.08 1.59 1.11–2.29 1.10 0.61–1.97 1.65 0.64–4.23 f
Race/ethnicity a
– – – – – –
NH black 0.93 0.75–1.16
Hispanic 0.71 0.53–0.95
MDD b
MDD with treatment 2.52 2.10–3.03 2.42 1.98–2.97 2.67 1.66–4.28 2.96 1.67–5.24
MDD w/o treatment 1.80 1.44–2.25 1.62 1.22–2.14 2.36 1.46–3.81 2.33 1.26–4.34
Concurrent alcohol abuse 3.18 2.65–3.82 2.75 2.23–3.39 6.30 4.01–9.89 7.61 4.07–14.21
Social networks c
0.92 0.87–0.98 0.92 0.86–0.99 0.91 0.82–1.02 – –
Social support d
– – – –
Fair 1.31 1.06–1.62 1.36 1.06–1.73 –
Low 1.29 1.03–1.62 1.33 1.02–1.75 –
HR Hazard Ratio, adjusted for all factors with values included as well as age, education, health insurance, household income, marital status,
marital status change between survey waves, and family history of problem drinking/alcoholism, CI confidence interval, PTSD posttraumatic
stress disorder, MDD major depressive disorder
–, Variable not included in the model a Reference group is non-Hispanic white
b Reference group is no MDD
c Number of social network types; risk decreases as number increases
d Reference group is high level of social support
e Significant interaction between PTSD and reported discrimination; PTSD predicted alcohol abuse only among Hispanic women without
discrimination; see text for results f Significant interaction between PTSD and acculturation; PTSD predicted alcohol dependence among Hispanic women with low acculturation;
see text for results
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 413
123
between PTSD and alcohol outcomes only among Hispanic
women (data not shown). PTSD predicted alcohol abuse
among Hispanic women without reported discrimination
(aHR 6.39; CI 2.76, 16.49), but not among those having
experienced discrimination (aHR 1.30; CI 0.33, 5.19).
Discussion
This is the first study to our knowledge to examine the
temporal relationship between PTSD and alcohol outcomes
among women using time-dependent data from the entire
adulthood experiences of women, with a specific focus on
racial/ethnic minorities and ethnic minority stressors. The
key findings in this study suggest that PTSD influences the
development of AUD in women. This is most apparent
among ethnic minorities when other stressors are not pre-
sent. Specifically, Hispanic women with low acculturation
or without reported discrimination are at greatest risk of
poor alcohol outcomes following the onset of PTSD.
PTSD and alcohol outcomes
Our findings that PTSD predicted alcohol dependence in
the total sample extends those of previous studies. In a
3-year prospective follow-up study using two waves of
NESARC data, similar alcohol outcomes were revealed for
male and female respondents combined [4]. PTSD pre-
dicted alcohol dependence in that study, but the risk
decreased and became nonsignificant after taking into
account other psychiatric disorders, perhaps due to the
complex interrelationships among comorbid disorders [95,
96]. Other studies [1, 6] also have demonstrated that PTSD
increases the risk for AUD, although either incidence or
temporal sequencing of events was not addressed. More-
over, the majority of previous researches have not been
gender specific, although some researches have identified
important differences in risk of PTSD and AUD based on
gender [10, 14–16].
Race/ethnicity
While there were no significant racial/ethnic differences in
lifetime prevalence of PTSD, the current study revealed
that white women with PTSD were at increased risk of
subsequent alcohol dependence and Hispanic women with
PTSD were at increased risk of developing alcohol abuse.
The findings with regard to Hispanic women are consistent
with previous studies showing elevated rates of PTSD
onset and severity among Hispanics relative to non-His-
panic whites [11]. Our findings for black women were
unexpected, however, given that prior research has
demonstrated a greater risk of persistent anxiety disorders
among blacks [20, 21, 25–27] and decreased treatment for
PTSD among ethnic minorities compared to non-Hispanic
whites [24]. As previously noted, persistent disorders and
lack of treatment would suggest an increased risk of AUD.
Nevertheless, the extant literature has not shown consistent
findings in racial/ethnic disparities in PTSD, AUD, and
comorbid disorders [7–12, 97, 98] but, again, most studies
have not utilized time-dependent data.
Acculturation
The effect of acculturation on the relationship between
PTSD and alcohol outcomes in this study is also unex-
pected, given prior research demonstrating greater risk of
mental health disorders and AUD among US-born com-
pared to immigrant Hispanics, those with longer residence
in the USA, and higher acculturation [7, 33, 42, 44, 99].
Although traditional family networks and traditional cul-
ture have been shown to buffer the impact of stress, higher
acculturation may lead to increased help seeking for trau-
matic events [28–31, 100, 101]. The net effect in each case
would be to decrease the likelihood of self-medication with
alcohol. An alternative explanation is that in the absence of
acculturation as a stressor, the role of PTSD in alcohol
outcomes becomes more evident. Our findings should be
interpreted with caution, however, given the wide confi-
dence intervals in the effect modification models. Never-
theless, the emergence of AUD in the absence of an
additional stress factor has been demonstrated in at least
one previous study. Lipsky et al. [102] found that child-
hood trauma moderated the relationship between poten-
tially traumatic intimate partner violence and alcohol
misuse mainly among black respondents, with an increased
risk of a poor alcohol outcome among those without
childhood trauma. Hispanic women were not included in
that study.
Discrimination
Discrimination also played a similar role to that of accul-
turation in the PTSD–alcohol relationship in this study,
with PTSD predicting alcohol abuse only among Hispanic
women without reported discrimination. While the paucity
of prior research on this specific relationship makes it
difficult to compare our findings to other studies, one study
found discrimination to increase the risk of PTSD symp-
toms and alcohol misuse among Hispanic college students,
although temporal relationships could not be established
[67]. It is clear from the extant literature, however, that
discrimination has a detrimental effect on mental health
and alcohol misuse among ethnic minorities [22, 51, 53–
58, 66, 103, 104].
414 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
Why this relationship was not revealed among black
women is difficult to explain, given prior findings of pos-
itive associations between discrimination and poor mental
health and alcohol outcomes among blacks overall [51, 53,
54, 56–58]. It is possible that black women engage addi-
tional social resources that ameliorate the effect of PTSD
on alcohol misuse or that social norms regarding drinking
are strongly negative in black women overall. Few studies
have examined these relationships among black women
specifically and have focused mainly on depression or
distress [105–108]. In a study of black families [109], for
example, distress (general anxiety and depression symp-
toms) partially mediated the discrimination–substance use
relationship. In a comparison of the strengths of the various
paths for males and females in that study, the models
looked very similar. Other sociocultural factors, such as
trauma cognitions (the way people think about themselves,
others, and the safety of the world), may change after
experiencing a traumatic event [110]. In one study of
individuals with comorbid PTSD and alcohol dependence,
negative views about one’s self and the world were more
strongly associated with adverse consequences of drinking
and alcohol craving severity among blacks than whites
[110].
Limitations
There are several limitations to consider in interpreting the
findings of this study. First, the measurement of potentially
traumatic experiences is limited by the retrospective
assessment of events, which may underestimate the
prevalence [3, 111]. Nevertheless, PTSD was based on the
only or ‘worst’ event experienced by the respondent, which
may lead to a higher rate of detection [9, 111–114],
Alcohol misuse and AUD were also assessed retrospec-
tively in each survey wave. Recall bias may have occurred
biasing the estimates downward, particularly for lifetime
occurrences of alcohol misuse [115]. On the other hand,
test–retest reliability of NESARC variables has been
demonstrated to be good overall [70, 71]. It should also be
noted that with the changes in criteria in the DSM-V, the
prevalence rates of AUD as compared to DSM-IV may in
fact increase [116]. Second, lifetime measures were uti-
lized for MDD, MDD treatment, and discrimination,
whereas social support and acculturation were current
assessments at Wave 2 by the respondents. Thus, it was not
possible to determine the temporal sequencing of these
variables with PTSD and alcohol misuse outcomes. Third,
it is possible that refusers, the impaired, and deceased were
more likely to have DSM-IV disorders, biasing the estimate
of the PTSD–alcohol relationship downward, although
most studies have revealed a modest to no effect based on
loss to follow-up [117–121]. Moreover, the response rate
for Wave 2 (86.7 %) was excellent, decreasing the effect of
nonresponse on the outcomes under study. Finally, if
respondents had developed an AUD prior to age 18 or prior
to PTSD, they would have been excluded from the analy-
sis; this may have led to decreased power or unavoidable
selection bias.
Conclusions
The novel findings from this study highlight the importance
of determining the risk of AUD associated with prior onset
of PTSD from a gendered as well as racial/ethnic per-
spective and the role ethnic minority stressors play in this
relationship. The use of a nationally representative sample
and the availability of time-dependent measures to deter-
mine lifetime risk extend the current literature which has,
to date, been based mainly on nonrepresentative or cross-
sectional data or limited to changes between study or sur-
vey waves. The current findings suggest that screening and
intervention programs for PTSD in health and social ser-
vice settings have the potential to interrupt trajectories that
carry higher risk for alcohol misuse and AUD among
women. An increasing body of evidence points to the need
for integrated treatment that addresses both complex
trauma and substance abuse, which has better potential to
improve both PTSD and alcohol outcomes among women
[122, 123].
Additional research is needed to determine if there are
racial/ethnic differences in treatment needs and efficacy
related to PTSD [124]. Identification of sociocultural and
contextual factors associated with poor alcohol outcomes
in the face of traumatic experiences is especially critical in
informing the development of relevant and sensitive
alcohol prevention and intervention efforts. The effects of
acculturation on specific types of help seeking for trau-
matic events in particular need to be more clearly delin-
eated. Although discrimination is not easily modifiable on
an individual basis, public health efforts to address bias
and discrimination remain key. Finally, given that AUD
varies across Hispanic subgroups [7], it will be important
in future research to examine the PTSD–alcohol relation-
ship within these subgroups as well as other ethnic
minority groups.
Acknowledgments This study was funded by the National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism (NIH/
NIAAA) Grant R01 AA 018686. Its contents are solely the respon-
sibility of the authors and do not necessarily represent the official
views of NIH/NIAAA.
Compliance with ethical standards
Conflict of interest The authors report no conflicts of interest.
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 415
123
References
1. Epstein JN, Saunders BE, Kilpatrick DG, Resnick HS (1998)
PTSD as a mediator between childhood rape and alcohol use in
adult women. Child Abuse Negl 22(3):223–234
2. Kessler RC, Crum RM, Warner LA, Nelson CB, Schulenberg J,
Anthony JC (1997) Lifetime co-occurrence of DSM-III-R
alcohol abuse and dependence with other psychiatric disorders
in the National Comorbidity Survey. Arch Gen Psychiatry
54(4):313–321
3. Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson CB
(1995) Posttraumatic stress disorder in the National Comorbidity
Survey. Arch Gen Psychiatry 52(12):1048–1060
4. Grant BF, Goldstein RB, Chou SP, Huang B, Stinson FS,
Dawson DA, Saha TD, Smith SM, Pulay AJ, Pickering RP,
Ruan WJ, Compton WM (2009) Sociodemographic and psy-
chopathologic predictors of first incidence of DSM-IV substance
use, mood and anxiety disorders: results from the Wave 2
National Epidemiologic Survey on Alcohol and Related Con-
ditions. Mol Psychiatry 14(11):1051–1066
5. Breslau N, Davis GC, Schultz LR (2003) Posttraumatic stress
disorder and the incidence of nicotine, alcohol, and other drug
disorders in persons who have experienced trauma. Arch Gen
Psychiatry 60(3):289–294
6. Breslau N, Davis GC, Peterson EL, Schultz L (1997) Psychiatric
sequelae of posttraumatic stress disorder in women. Arch Gen
Psychiatry 54(1):81–87
7. Alegria M, Canino G, Shrout PE, Woo M, Duan N, Vila D,
Torres M, Chen C, Meng X (2008) Prevalence of mental illness
in immigrant and non-immigrant US Latino groups. Am J
Psychiatry 165(3):359–369
8. Breslau J, Aguilar-Gaxiola S, Kendler KS, Su M, Williams D,
Kessler RC (2006) Specifying race-ethnic differences in risk for
psychiatric disorder in a USA national sample. Psychol Med
36(1):57–68
9. Breslau N, Kessler RC, Chilcoat HD, Schultz LR, Davis GC,
Andreski P (1998) Trauma and posttraumatic stress disorder in
the community: the 1996 Detroit Area Survey of Trauma. Arch
Gen Psychiatry 55(7):626–632
10. Hasin DS, Stinson FS, Ogburn E, Grant BF (2007) Prevalence,
correlates, disability, and comorbidity of DSM-IV alcohol abuse
and dependence in the United States: results from the national
epidemiologic survey on alcohol and related conditions. Arch
Gen Psychiatry 64(7):830–842
11. Alcantara C, Casement MD, Lewis-Fernandez R (2013) Con-
ditional risk for PTSD among Latinos: a systematic review of
racial/ethnic differences and sociocultural explanations. Clin
Psychol Rev 33(1):107–119
12. Asnaani A, Richey JA, Dimaite R, Hinton DE, Hofmann SG
(2010) A cross-ethnic comparison of lifetime prevalence rates of
anxiety disorders. J Nerv Ment Dis 198(8):551–555
13. Alegria M, Fortuna LR, Lin JY, Norris FH, Gao S, Takeuchi
DT, Jackson JS, Shrout PE, Valentine A (2013) Prevalence, risk,
and correlates of posttraumatic stress disorder across ethnic and
racial minority groups in the United States. Med Care
51(12):1114–1123
14. Breslau N (2009) The epidemiology of trauma, PTSD, and other
posttrauma disorders. Trauma Violence Abuse 10(3):198–210
15. Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson CB
(1995) Posttraumatic stress disorder in the National Comorbidity
Survey. Arch Gen Psychiatry 5(1):1–13
16. Cohen E, Feinn R, Arias A, Kranzler HR (2007) Alcohol
treatment utilization: findings from the national epidemiologic
survey on alcohol and related conditions. Drug Alcohol Depend
86(2–3):214–221
17. Khantzian EJ (1985) The self-medication hypothesis of addic-
tive disorders: focus on heroin and cocaine dependence. Am J
Psychiatry 142(11):1259–1264
18. Khantzian EJ (1997) The self-medication hypothesis of sub-
stance use disorders: a reconsideration and recent applications.
Harv Rev Psychiatry 4(5):231–244
19. Nazroo JY (2003) The structuring of ethnic inequalities in
health: economic position, racial discrimination, and racism. Am
J Public Health 93(2):277–284
20. Gibbs TA, Okuda M, Oquendo MA, Lawson WB, Wang S,
Thomas YF, Blanco C (2013) Mental health of African Amer-
icans and Caribbean blacks in the United States: results from the
national epidemiological survey on alcohol and related condi-
tions. Am J Public Health 103(2):330–338
21. Breslau J, Kendler KS, Su M, Gaxiola-Aguilar S, Kessler RC
(2005) Lifetime risk and persistence of psychiatric disorders
across ethnic groups in the United States. Psychol Med
35(3):317–327
22. Kessler RC, Mickelson KD, Williams DR (1999) The prevalence,
distribution, and mental health correlates of perceived discrimi-
nation in the United States. J Health Soc Behav 40(3):208–230
23. Soto JA, Dawson-Andoh NA, BeLue R (2011) The relationship
between perceived discrimination and generalized anxiety dis-
order among African Americans, Afro Caribbeans, and non-
Hispanic whites. J Anxiety Disord 25(2):258–265
24. Roberts AL, Gilman SE, Breslau J, Breslau N, Koenen KC
(2011) Race/ethnic differences in exposure to traumatic events,
development of post-traumatic stress disorder, and treatment-
seeking for post-traumatic stress disorder in the United States.
Psychol Med 41(1):71–83
25. Breslau N, Davis GC (1992) Posttraumatic stress disorder in an
urban population of young adults: risk factors for chronicity. Am
J Psychiatry 149(5):671–675
26. McFarlane AC (1998) Epidemiological evidence about the
relationship between PTSD and alcohol abuse: the nature of the
association. Addict Behav 23(6):813–825
27. Stewart SH, Pihl RO, Conrod PJ, Dongier M (1998) Functional
associations among trauma, PTSD, and substance-related dis-
orders. Addict Behav 23(6):797–812
28. Escobar JI (1998) Immigration and mental health: why are
immigrants better off? Arch Gen Psychiatry 55(9):781–782
29. Escobar JI, Gomez J, Tuason VB (1983) Depressive phe-
nomenology in North and South American patients. Am J Psy-
chiatry 140(1):47–51
30. Scribner R (1996) Paradox as paradigm-the health outcomes of
Mexican Americans. Am J Public Health 86(3):303–305
31. Turner RJ, Lloyd DA, Taylor J (2006) Stress burden, drug
dependence and the nativity paradox among US Hispanics. Drug
Alcohol Depend 83(1):79–89
32. Vega WA, Sribney WM, Aguilar-Gaxiola S, Kolody B (2004)
12-month prevalence of DSM-III-R psychiatric disorders among
Mexican Americans: nativity, social assimilation, and age
determinants. J Nerv Ment Dis 192(8):532–541
33. Alegria M, Canino G, Stinson FS, Grant BF (2006) Nativity and
DSM-IV psychiatric disorders among Puerto Ricans, Cuban
Americans, and non-Latino Whites in the United States: results
from the national epidemiologic survey on alcohol and related
conditions. J Clin Psychiatry 67(1):56–65
34. Heilemann MV, Kury FS, Lee KA (2005) Trauma and post-
traumatic stress disorder symptoms among low income women
of Mexican descent in the United States. J Nerv Ment Dis
193(10):665–672
35. Alegria M, Mulvaney-Day N, Torres M, Polo A, Cao Z, Canino
G (2007) Prevalence of psychiatric disorders across Latino
subgroups in the United States. Am J Public Health 97(1):68–75
416 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
36. Caetano R, Ramisetty-Mikler S, Wallisch LS, McGrath C,
Spence RT (2008) Acculturation, drinking, and alcohol abuse
and dependence among Hispanics in the Texas-Mexico border.
Alcohol Clin Exp Res 32(2):314–321
37. Zemore SE (2005) Re-examining whether and why acculturation
relates to drinking outcomes in a rigorous, national survey of
Latinos. Alcohol Clin Exp Res 29(12):2144–2153
38. Zemore SE (2007) Acculturation and alcohol among Latino
adults in the United States: a comprehensive review. Alcohol
Clin Exp Res 31(12):1968–1990
39. Caetano R, Ramisetty-Mikler S, Caetano Vaeth PA, Harris TR
(2007) Acculturation stress, drinking, and intimate partner vio-
lence among Hispanic couples in the US. J Interpers Violence
22(11):1431–1447
40. Caetano R, Ramisetty-Mikler S, Rodriguez LA (2009) The
Hispanic Americans Baseline Alcohol Survey (HABLAS): the
association between birthplace, acculturation and alcohol abuse
and dependence across Hispanic national groups. Drug Alcohol
Depend 99(1–3):215–221
41. Savage JE, Mezuk B (2014) Psychosocial and contextual
determinants of alcohol and drug use disorders in the National
Latino and Asian American Study. Drug Alcohol Depend
139:71–78
42. Alegria M, Sribney W, Woo M, Torres M, Guarnaccia P (2007)
Looking beyond nativity: the relation of age of immigration,
length of residence, and birth cohorts to the risk of onset of
psychiatric disorders for Latinos. Res Hum Dev 4(1):19–47
43. Ortega AN, Rosenheck R, Alegria M, Desai RA (2000) Accul-
turation and the lifetime risk of psychiatric and substance use
disorders among Hispanics. J Nerv Ment Dis 188(11):728–735
44. Vega WA, Sribney WM, Achara-Abrahams I (2003) Co-oc-
curring alcohol, drug, and other psychiatric disorders among
Mexican-origin people in the United States. Am J Public Health
93(7):1057–1064
45. Viruell-Fuentes EA (2007) Beyond acculturation: immigration,
discrimination, and health research among Mexicans in the
United States. Soc Sci Med 65(7):1524–1535
46. Kessler RC, Neighbors HW (1986) A new perspective on the
relationships among race, social class, and psychological dis-
tress. J Health Soc Behav 27(2):107–115
47. Miller FS (1992) Network structure support: its relationship to
the psycho-social development of black females. In: Powell G
(ed) The psycho-social development of minority group children.
Brunner/Mazel, New York, pp 275–306
48. Thompson VL (2002) Racism: perceptions of distress among
African Americans. Community Ment Health J 38(2):111–118
49. Williams DR, Neighbors HW, Jackson JS (2003) Racial/ethnic
discrimination and health: findings from community studies. Am
J Public Health 93(2):200–208
50. Gee GC, Spencer M, Chen J, Yip T, Takeuchi DT (2007) The
association between self-reported racial discrimination and
12-month DSM-IV mental disorders among Asian Americans
nationwide. Soc Sci Med 64(10):1984–1996
51. Gibbons FX, Gerrard M, Cleveland MJ, Wills TA, Brody G
(2004) Perceived discrimination and substance use in African
American parents and their children: a panel study. J Pers Soc
Psychol 86(4):517–529
52. Karlsen S, Nazroo J (2002) The impact of ethnic identity and
racism on the health of ethnic minority people. Sociol Health
Illn 2(1):1–20
53. Kwate NO, Valdimarsdottir HB, Guevarra JS, Bovbjerg DH
(2003) Experiences of racist events are associated with negative
health consequences for African American women. J Natl Med
Assoc 95(6):450–460
54. Martin JK, Tuch SA, Roman PM (2003) Problem drinking
patterns among African Americans: the impacts of reports of
discrimination, perceptions of prejudice, and ‘‘risky’’ coping
strategies. J Health Soc Behav 44(3):408–425
55. McLaughlin KA, Hatzenbuehler ML, Keyes KM (2010)
Responses to discrimination and psychiatric disorders among
Black, Hispanic, female, and lesbian, gay, and bisexual indi-
viduals. Am J Public Health 100(8):1477–1484
56. Sellers RM, Caldwell CH, Schmeelk-Cone KH, Zimmerman
MA (2003) Racial identity, racial discrimination, perceived
stress, and psychological distress among African American
young adults. J Health Soc Behav 44(3):302–317
57. Yen IH, Ragland DR, Greiner BA, Fisher JM (1999) Racial
discrimination and alcohol-related behavior in urban transit
operators: findings from the San Francisco Muni Health and
Safety Study. Public Health Rep 114(5):448–458
58. Borrell LN, Jacobs DR Jr, Williams DR, Pletcher MJ, Houston
TK, Kiefe CI (2007) Self-reported racial discrimination and
substance use in the coronary artery risk development in adults
study. Am J Epidemiol 166(9):1068–1079
59. Otiniano Verissimo AD, Grella CE, Amaro H, Gee GC (2014)
Discrimination and substance use disorders among latinos: the
role of gender, nativity, and ethnicity. Am J Public Health
104(8):1421–1428
60. Otiniano Verissimo AD, Gee GC, Ford CL, Iguchi MY (2014)
Racial discrimination, gender discrimination, and substance
abuse among Latina/os nationwide. Cult Divers Ethnic Minor
Psychol 20(1):43–51
61. Pascoe EA, Smart Richman L (2009) Perceived discrimination
and health: a meta-analytic review. Psychol Bull 135(4):531–
554
62. Brown T, Williams DR, Jackson JJ, Neighbors HW, Torres M,
Sellers SL, Brown KT (2000) ‘‘Being Black and feeling blue’’:
the mental health consequences of racial discrimination. Race
Soc 2(2):117–131
63. Loo CM, Fairbank JA, Scurfield RM, Ruch LO, King DW,
Adams LJ, Chemtob CM (2001) Measuring exposure to racism:
development and validation of a Race-Related Stressor Scale
(RRSS) for Asian American Vietnam veterans. Psychol Assess
13(4):503–520
64. Mays VM, Cochran SD (2001) Mental health correlates of
perceived discrimination among lesbian, gay, and bisexual
adults in the United States. Am J Public Health
91(11):1869–1876
65. Siefert K, Bowman PJ, Heflin CM, Danziger S, Williams DR
(2000) Social and environmental predictors of maternal
depression in current and recent welfare recipients. Am J
Orthopsychiatry 70(4):510–522
66. Gee GC, Ryan A, Laflamme DJ, Holt J (2006) Self-reported
discrimination and mental health status among African descen-
dants, Mexican Americans, and other Latinos in the New
Hampshire REACH 2010 Initiative: the added dimension of
immigration. Am J Public Health 96(10):1821–1828
67. Cheng HL, Mallinckrodt B (2015) Racial/ethnic discrimination,
posttraumatic stress symptoms, and alcohol problems in a lon-
gitudinal study of Hispanic/Latino college students. J Couns
Psychol 62(1):38–49
68. Grant BF, Dawson DA (2006) Introduction to the national epi-
demiologic survey on alcohol and related conditions. Alcohol
Res Health 29(2):74–78
69. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR,
Walters EE (2005) Lifetime prevalence and age-of-onset dis-
tributions of DSM-IV disorders in the national comorbidity
survey replication. Arch Gen Psychiatry 62(6):593–602
70. Ruan WJ, Goldstein RB, Chou SP, Smith SM, Saha TD, Pick-
ering RP, Dawson DA, Huang B, Stinson FS, Grant BF (2008)
The alcohol use disorder and associated disabilities interview
schedule-IV (AUDADIS-IV): reliability of new psychiatric
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 417
123
diagnostic modules and risk factors in a general population
sample. Drug Alcohol Depend 92(1–3):27–36
71. Grant BF, Dawson DA, Stinson FS, Chou PS, Kay W, Pickering
R (2003) The Alcohol Use Disorder and Associated Disabilities
Interview Schedule-IV (AUDADIS-IV): reliability of alcohol
consumption, tobacco use, family history of depression and
psychiatric diagnostic modules in a general population sample.
Drug Alcohol Depend 71(1):7–16
72. Milne BJ, Caspi A, Harrington H, Poulton R, Rutter M, Moffitt
TE (2009) Predictive value of family history on severity of ill-
ness: the case for depression, anxiety, alcohol dependence, and
drug dependence. Arch Gen Psychiatry 66(7):738–747
73. Coronado GD, Thompson B, McLerran D, Schwartz SM,
Koepsell TD (2005) A short acculturation scale for Mexican–
American populations. Ethn Dis 15(1):53–62
74. Cuellar I, Arnold B, Maldonado R (1995) Acculturation Rating
Scale for Mexican Americans-II: a revision of the original
ARSMA scale. Hisp J Behav Sci 17(3):275–304
75. Cuellar I, Bastida E, Braccio SM (2004) Residency in the United
States, subjective well-being, and depression in an older Mexi-
can-origin sample. J Aging Health 16(4):447–466
76. Deyo RA, Diehl AK, Hazuda H, Stern MP (1985) A simple
language-based acculturation scale for Mexican Americans:
validation and application to health care research. Am J Public
Health 75(1):51–55
77. Solis JM, Marks G, Garcia M, Shelton D (1990) Acculturation,
access to care, and use of preventive services by Hispanics:
findings from HHANES 1982-84. Am J Public Health
80(Suppl):11–19
78. Krieger N (1990) Racial and gender discrimination: risk factors
for high blood pressure? Soc Sci Med 30(12):1273–1281
79. Krieger N, Sidney S (1997) Prevalence and health implications
of anti-gay discrimination: a study of black and white women
and men in the CARDIA cohort. Coronary Artery Risk Devel-
opment in Young Adults. Int J Health Serv 27(1):157–176
80. Krieger N, Sidney S, Coakley E (1998) Racial discrimination
and skin color in the CARDIA study: implications for public
health research. Coronary Artery Risk Development in Young
Adults. Am J Public Health 88(9):1308–1313
81. Krieger N, Smith K, Naishadham D, Hartman C, Barbeau EM
(2005) Experiences of discrimination: validity and reliability of
a self-report measure for population health research on racism
and health. Soc Sci Med 61(7):1576–1596
82. Maldonado G, Greenland S (1993) Simulation study of con-
founder-selection strategies. Am J Epidemiol 138:923–936
83. Shalev AY, Freedman S, Peri T, Brandes D, Sahar T, Orr SP,
Pitman RK (1998) Prospective study of posttraumatic stress
disorder and depression following trauma. Am J Psychiatry
155(5):630–637
84. Freedman SA, Brandes D, Peri T, Shalev A (1999) Predictors of
chronic post-traumatic stress disorder. A prospective study. Br J
Psychiatry 174:353–359
85. Platt J, Keyes KM, Koenen KC (2014) Size of the social net-
work versus quality of social support: which is more protective
against PTSD? Soc Psychiatry Psychiatr Epidemiol 49(8):1279–
1286
86. Dinenberg RE, McCaslin SE, Bates MN, Cohen BE (2014)
Social support may protect against development of posttrau-
matic stress disorder: findings from the heart and soul study. Am
J Health Promot 28(5):294–297
87. Mutschler J, Eifler S, Dirican G, Grosshans M, Kiefer F, Rossler
W, Diehl A (2013) Functional social support within a medical
supervised outpatient treatment program. Am J Drug Alcohol
Abuse 39(1):44–49
88. Trocchio S, Chassler D, Storbjork J, Delucchi K, Witbrodt J,
Lundgren L (2013) The association between self-reported
mental health status and alcohol and drug abstinence 5 years
post-assessment for an addiction disorder in US and Swedish
samples. J Addict Dis 32(2):180–193
89. Leggio L, Kenna GA, Fenton M, Bonenfant E, Swift RM (2009)
Typologies of alcohol dependence. From Jellinek to genetics
and beyond. Neuropsychol Rev 19(1):115–129
90. Goldstein RB, Dawson DA, Chou SP, Grant BF (2012) Sex
differences in prevalence and comorbidity of alcohol and drug
use disorders: results from wave 2 of the National Epidemio-
logic Survey on Alcohol and Related Conditions. J Stud Alcohol
Drugs 73(6):938–950
91. Cranford JA, Nolen-Hoeksema S, Zucker RA (2011) Alcohol
involvement as a function of co-occurring alcohol use disorders
and major depressive episode: evidence from the national epi-
demiologic survey on alcohol and related conditions. Drug
Alcohol Depend 117(2–3):145–151
92. Rytwinski NK, Scur MD, Feeny NC, Youngstrom EA (2013)
The co-occurrence of major depressive disorder among indi-
viduals with posttraumatic stress disorder: a meta-analysis.
J Trauma Stress 26(3):299–309
93. Hasin DS, Grant BF (2004) The co-occurrence of DSM-IV
alcohol abuse in DSM-IV alcohol dependence: results of the
national epidemiologic survey on alcohol and related conditions
on heterogeneity that differ by population subgroup. Arch Gen
Psychiatry 61(9):891–896
94. Mojtabai R, Singh P (2007) Implications of co-occurring alcohol
abuse for role impairment, health problems, treatment seeking, and
early course of alcohol dependence. Am J Addict 16(4):300–309
95. Keyes KM, Eaton NR, Krueger RF, McLaughlin KA, Wall MM,
Grant BF, Hasin DS (2012) Childhood maltreatment and the
structure of common psychiatric disorders. Br J Psychiatry
200(2):107–115
96. Krueger RF (1999) The structure of common mental disorders.
Arch Gen Psychiatry 56(10):921–926
97. Huang B, Grant BF, Dawson DA, Stinson FS, Chou SP, Saha
TD, Goldstein RB, Smith SM, Ruan WJ, Pickering RP (2006)
Race-ethnicity and the prevalence and co-occurrence of diag-
nostic and statistical manual of mental disorders, fourth edition,
alcohol and drug use disorders and axis I and II disorders:
United States, 2001 to 2002. Compr Psychiatry 47(4):252–257
98. Smith SM, Stinson FS, Dawson DA, Goldstein R, Huang B,
Grant BF (2006) Race/ethnic differences in the prevalence and
co-occurrence of substance use disorders and independent mood
and anxiety disorders: results from the national epidemiologic
survey on alcohol and related conditions. Psychol Med
36(7):987–998
99. Caetano R, Ramisetty-Mikler S, Rodriguez LA (2009) The
Hispanic Americans Baseline Alcohol Survey (HABLAS): the
association between birthplace, acculturation and alcohol abuse
and dependence across Hispanic national groups. Drug Alcohol
Depend 99(1–3):215–221
100. Lorenzo-Blanco EI, Delva J (2012) Examining lifetime episodes
of sadness, help seeking, and perceived treatment helpfulness
among US Latino/as. Community Ment Health J 48(5):611–626
101. Turner RJ, Lloyd DA, Taylor J (2006) Stress burden, drug
dependence and the nativity paradox among US Hispanics. Drug
Alcohol Depend 83(1):79–89
102. Lipsky S, Kernic MA, Qiu Q, Wright C, Hasin DS (2014) A
two-way street for alcohol use and partner violence: Who’s
driving it? J Fam Violence 29(8):815–828
103. Karlsen S, Nazroo JY (2002) Relation between racial discrimi-
nation, social class, and health among ethnic minority groups.
Am J Public Health 92(4):624–631
104. Finch BK, Kolody B, Vega WA (2000) Perceived discrimination
and depression among Mexican-origin adults in California.
J Health Soc Behav 41(3):295–313
418 Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419
123
105. Seawell AH, Cutrona CE, Russell DW (2014) The Effects of
General Social Support and Social Support for Racial Dis-
crimination on African American Women’s Well-Being. J Black
Psychol 40(1):3–26
106. Maddox T (2013) Professional women’s well-being: the role of
discrimination and occupational characteristics. Women Health
53(7):706–729
107. Logie C, James L, Tharao W, Loutfy M (2013) Associations
between HIV-related stigma, racial discrimination, gender dis-
crimination, and depression among HIV-positive African, Car-
ibbean, and Black women in Ontario, Canada. AIDS Patient
Care STDS 27(2):114–122
108. Donovan RA, Huynh QL, Park IJ, Kim SY, Lee RM, Robertson
E (2013) Relationships among identity, perceived discrimina-
tion, and depressive symptoms in eight ethnic-generational
groups. J Clin Psychol 69(4):397–414
109. Gibbons FX, Kingsbury JH, Weng CY, Gerrard M, Cutrona C,
Wills TA, Stock M (2014) Effects of perceived racial discrim-
ination on health status and health behavior: a differential
mediation hypothesis. Health Psychol 33(1):11–19
110. Williams M, Jayawickreme N, Sposato R, Foa EB (2012) Race-
specific associations between trauma cognitions and symptoms
of alcohol dependence in individuals with comorbid PTSD and
alcohol dependence. Addict Behav 37(1):47–52
111. McKinney CM, Harris TR, Caetano R (2009) Reliability of self-
reported childhood physical abuse by adults and factors pre-
dictive of inconsistent reporting. Violence Vict 24(5):653–668
112. Breslau N, Peterson EL, Schultz LR (2008) A second look at
prior trauma and the posttraumatic stress disorder effects of
subsequent trauma: a prospective epidemiological study. Arch
Gen Psychiatry 65(4):431–437
113. Kessler RC (1997) The effects of stressful life events on
depression. Annu Rev Psychol 48:191–214
114. Schraedley PK, Turner RJ, Gotlib IH (2002) Stability of retro-
spective reports in depression: traumatic events, past depressive
episodes, and parental psychopathology. J Health Soc Behav
43(3):307–316
115. Greenfield TK, Kerr WC (2008) Alcohol measurement
methodology in epidemiology: recent advances and opportuni-
ties. Addiction 103(7):1082–1099
116. Bartoli F, Carra G, Crocamo C, Clerici M (2015) From DSM-IV
to DSM-5 alcohol use disorder: an overview of epidemiological
data. Addict Behav 41:46–50
117. Badawi MA, Eaton WW, Myllyluoma J, Weimer LG, Gallo J
(1999) Psychopathology and attrition in the Baltimore ECA
15-year follow-up 1981–1996. Soc Psychiatry Psychiatr Epi-
demiol 34(2):91–98
118. Bergman P, Ahlberg G, Forsell Y, Lundberg I (2010) Non-
participation in the second wave of the PART study on mental
disorder and its effects on risk estimates. Int J Soc Psychiatry
56(2):119–132
119. Caetano R, Ramisetty-Mikler S, McGrath C (2003) Character-
istics of non-respondents in a US national longitudinal survey on
drinking and intimate partner violence. Addiction 98(6):791–797
120. Torvik FA, Rognmo K, Tambs K (2012) Alcohol use and mental
distress as predictors of non-response in a general population
health survey: the HUNT study. Soc Psychiatry Psychiatr Epi-
demiol 47(5):805–816
121. Van Loon AJ, Tijhuis M, Picavet HS, Surtees PG, Ormel J (2003)
Survey non-response in the Netherlands: effects on prevalence
estimates and associations. Ann Epidemiol 13(2):105–110
122. Cohen LR, Hien DA (2006) Treatment outcomes for women
with substance abuse and PTSD who have experienced complex
trauma. Psychiatr Serv 57(1):100–106
123. Hien DA, Campbell AN, Ruglass LM, Hu MC, Killeen T (2010)
The role of alcohol misuse in PTSD outcomes for women in
community treatment: a secondary analysis of NIDA’s Women
and Trauma Study. Drug Alcohol Depend 111(1–2):114–119
124. Amaro H, Dai J, Arevalo S, Acevedo A, Matsumoto A, Nieves
R, Prado G (2007) Effects of integrated trauma treatment on
outcomes in a racially/ethnically diverse sample of women in
urban community-based substance abuse treatment. J Urban
Health 84(4):508–522
Soc Psychiatry Psychiatr Epidemiol (2016) 51:407–419 419
123
Social Psychiatry & Psychiatric Epidemiology is a copyright of Springer, 2016. All Rights Reserved.
- Posttraumatic stress disorder and alcohol misuse among women: effects of ethnic minority stressors
- Abstract
- Purpose
- Methods
- Results
- Conclusions
- Introduction
- Temporal precedence of PTSD
- Race/ethnicity
- Acculturation
- Discrimination
- Materials and methods
- Sampling methodology
- Measures
- PTSD
- Alcohol measures
- Explanatory/potentially confounding factors
- Socio-demographic characteristics
- Social support and social networks
- Major depressive disorder
- Family history
- Moderating variables
- Acculturation
- Discrimination
- Data analysis
- Results
- Sample description
- Survival analysis
- Main effects models
- Race/ethnicity
- Ethnic minority stressors
- Acculturation
- Discrimination
- Ethnic minority stressors as effect modifiers
- Discussion
- PTSD and alcohol outcomes
- Race/ethnicity
- Acculturation
- Discrimination
- Limitations
- Conclusions
- Acknowledgments
- References