Abstract
Gender-based violence (GBV) is common among women with and at risk for HIV, yet little is known about the GBV associated psychological factors that could be modifiable through behavioral interventions. The current study examined the associations between some of these psychological factors (i.e., hopelessness, consideration of future consequences, self esteem), mental health symptoms, substance abuse, and GBV among a sample of 736 HIV-infected and sociodemographically similar uninfected participants in the Women's Interagency HIV Study (WIHS). Results indicated high rates of lifetime GBV among the sample (58%), as well as high rates of childhood sexual abuse (CSA) (22.2%). HIV-infected women were more likely to be hopeless and to experience lower consideration of future consequences as compared to uninfected women. Multivariable analysis indicated that current non-injection drug use and a history of injection drug use were the main correlates of GBV and CSA, even when other psychosocial variables were included in analytic models. Being born outside of the US reduced the likelihood of GBV and CSA. Future research directions and intervention implications are discussed.
Introduction
Women with histories of gender-based violence (GBV; a woman's experience of childhood or adult physical, sexual, or psychological abuse) are at significantly greater risk for acquiring HIV.1–4 Women with such histories may lack self-efficacy over sexual practices and experience difficulty in negotiating condom use with high-risk partners, placing them at higher risk for acquiring HIV.5,6 Additionally, prevalence studies estimate that 50–75% of women who are already HIV-infected have experienced GBV in their lifetime, and this is especially true for ethnic minority women.2,4,7–9 It is important to examine how GBV impacts both HIV-infected and uninfected women to better understand the pathways that lead to risk behavior (e.g., risky sex, substance use) among both groups, as well as the pathways that lead to HIV transmission risk among HIV-infected women due to poor adherence to antiretroviral therapies and poor engagement in care.10–13
A significant correlation between history of GBV and increased use and abuse of psychoactive substances is well documented among both HIV-infected and at-risk women.1,3,14,15 Adult and childhood violence increases the likelihood that women will experience problem drinking, and an earlier onset as well as eventual diagnosis of alcohol abuse.16–18 GBV is also associated with higher rates of cocaine and injection drug use.1,19–21 These substances are hypothesized to be used as coping strategies and/or a form of self medication used to manage the emotional consequences of abuse.6,22 Gender-based violence, HIV, and substance use are co-occurring epidemics among low-income urban women, which impose an excess burden of disease on vulnerable populations.23,24
Symptoms of mental health difficulties also play a role in the influence that GBV has on HIV. PTSD and depression are common among women with GBV histories.25–30 Women who have experienced GBV are four to seven times more likely to report experiencing minor and severe depressive symptoms compared to nonabused women.23,31 Compared to uninfected women, some studies have found higher depression rates among women living with HIV.32 Furthermore, meta-analyses have estimated PTSD prevalence rates ranging between 31–84% among women with histories of GBV, significantly higher than women in the general population.25 Evidence suggests that mental health disorders increase both risk for substance abuse and inconsistent condom use.1,33,34 Studies have found that women with GBV-related PTSD and depression have four times greater odds of having unprotected sex with a risky partner (i.e., HIV-infected, injection drug user and/or non-monogamous).25,34
Among HIV-infected and at-risk women, rates of childhood (i.e., prior to age 18) sexual abuse in particular (CSA; a form of GBV when perpetrated against girls) are extremely high, ranging from 32 to 76%.35–38 Studies indicate that CSA is the type of trauma most associated with PTSD symptoms among women.39–42 Additionally, the impact of CSA on mental health and functioning is associated with increased likelihood of engaging in both HIV acquisition and transmission risk behavior including substance abuse (particularly, injection drug use) and risky sex.15,38,43–45 One study found that CSA was associated with an over 7-fold increase in HIV risk behaviors among women.15 Furthermore, it is important to include CSA in definitions of GBV, as well as independently, as it is an important indicator for engagement in care and confers increased risk for poor antiretroviral adherence among HIV-infected women.43,44
Despite this knowledge, HIV risk reduction interventions using traditional models of behavioral intervention have not been very effective for women at-risk for HIV with GBV histories, as well as among HIV-infected women with GBV histories.4,46 Researchers have recognized the need to employ more comprehensive, context driven, syndemic models to examine and then modify the complex web of associations between poverty, GBV, substance use, mental health symptom burden, and sexual risk behavior.23,24 Intervention design incorporating these simultaneous epidemics should address potentially modifiable psychological risk factors that are cognitive and behavioral in nature, that are directly and indirectly associated with GBV including feelings of hopelessness, the ability to consider future consequences, self-esteem, and self-efficacy, among others.8,19
This study aims to identify possible psychological variables to target for HIV risk reduction interventions and improved psychosocial well-being among both HIV-infected and uninfected women with GBV histories including childhood sexual abuse.
Methods
Participants and procedure
Data for the current study were generated from a Gender-Based Violence (GBV) substudy of the Women's Interagency HIV Study (WIHS). The WIHS, a longitudinal multicenter cohort study of HIV-infected and demographically comparable HIV-uninfected women, enrolled 2060 active participants enrolled either during 1994–1995 or 2001–2002 in six cities across the United States. Women attend WIHS core study visits every 6 months and they complete an interviewer-assisted questionnaire in English or Spanish, in addition to a clinical exam and provision of biological specimens. The methodology, training, quality assurance activities, and cohort characteristics of the WIHS have been published elsewhere.47,48
A total of 736 WIHS participants from three sites (i.e., Brooklyn, Chicago, and Washington, DC) who provided written informed consent were enrolled in the GBV substudy from October 1, 2009 to September 30, 2010. The majority of participants completed the substudy questionnaires following their WIHS core visit.
Measures
The current study included supplemental measures completed for the GBV substudy, specifically, and select measures from the corresponding WIHS core study visit. Measures administered as part of the GBV substudy have been widely used with similar populations and retain strong psychometric properties as described below. They include an indicator of GBV history, and measures of PTSD symptoms, consideration of future consequences, hopelessness, and self-esteem. The WIHS core visit measures included all demographic information, depressive symptoms, substance use, and childhood sexual abuse history.
Lifetime history of gender-based violence (GBV) was re-assessed at the time of the GBV substudy visit via a self-report question. Each participant was queried as to whether she experienced any physical or sexual abuse occurring at any point in her lifetime. Psychological/emotional abuse alone was not re-assessed as a distinct primary exposure of interest for this study and therefore not included in our definition of GBV. We categorized a participant as having a lifetime GBV history if she answered “yes” to that question. Childhood (prior to age 18) sexual abuse was included both as part of the definition of GBV and separately in the analytic models, as it is considered an independent predictor of mental health difficulties above and beyond other types of GBV.46,49 We used the historical core WIHS visit data to categorize CSA. Each participant was asked at a previous WIHS visit as to whether she had experienced sexual coercion (including any forced/unwanted sexual act) at any point in her lifetime. If a participant responded “yes” then the age/s of sexual coercion was asked. For the purposes of the current study, any “yes” responses that were associated with an age less than 18 was coded as affirmative for having experienced childhood sexual abuse.
Depressive symptoms and substance use were assessed during the WIHS core interview. All other independent variables were assessed as part of the GBV substudy. All variables were dichotomized. Depression symptoms were measured using the Center for Epidemiologic Studies-Depression Scale.50 Sum scores above 16/60 were considered indicative of depressive symptoms (Cronbach's alpha=0.91). Substance use variables included current non-injection drug use (NIDU; (any non-injection drug use over the past 6 months, excluding tobacco), current moderate/heavy alcohol use (≥three drinks per week51), and any history of injection drug use (IDU). Self-esteem was assessed using the Rosenberg Self-Esteem Scale52 with sum scores less than 15/30 indicative of low self-esteem (Cronbach's alpha=0.87). Hopelessness was assessed using the Beck Hopelessness Scale53 with sum scores greater than 3/20 indicative of greater hopelessness (Cronbach's alpha=0.86). The Consideration of Future Consequences Scale54 was used to assess the degree to which a person considered the future when making decisions about current behavior. A mean score of less than 3/5 was indicative of lower consideration of future consequences54 (Cronbach's alpha=0.67).
PTSD symptoms were assessed among the subset of substudy participants who reported a history of GBV. Women cited the abuse experience that they considered “most stressful” and answered questions regarding PTSD symptoms specific to that abuse experience. PTSD symptoms were measured using the PTSD Checklist-Specific (PCL-S).55 Participants with sum scores above 44 (range is 17–85) were considered as “probable PTSD”56 (Cronbach's alpha=0.93).
Participants' demographic data was collected as part of the current or baseline WIHS core interview. Demographic variables included in the current study were: HIV status, self-reported age at time of substudy data collection (younger than age 45, or 45 and older), education (high school graduate or not), current employment status, annual household income ($18,000 per year or less), US-born, race/ethnicity (African American, Hispanic, White, other), and marital status (married/living with partner or not).
Data analysis
Bivariate associations were examined using Pearson Chi-square analyses including differences in psychosocial variables by HIV status and differences in psychosocial variables by GBV history and by CSA history. Multivariate associations between demographic, psychosocial, and GBV variables were examined using logistic regression. Significance was determined using p values of <0.05 and 95% confidence intervals. SPSS version 21 (IBM) was used for data analysis.
Results
Demographic data indicated that almost three quarters of the sample identified as African American, 13% Hispanic, 10% White, and 3% other. Twenty-one percent were not born in the US. The sample also represented a low socioeconomic status (SES) group as 57% were unemployed, 53% earned less than $18,000 annually, and 33% had not finished high school. Sixty-nine percent were not married nor living with a partner. The mean age at the substudy visit was 45.17 (SD=9.29). Seventy-three percent were HIV-infected and 27% were uninfected.
Overall, 58% of participants (total n=735, one participant did not answer) reported experiencing any lifetime GBV (physical or sexual abuse only) in their lifetime and 22.2% (total n=698, 39 people did not answer) reported a history of CSA. Mental health burden was relatively high with 30.1% of the sample reporting probable depression, 4.4% reporting low self-esteem, 20.9% reporting high levels of hopelessness, and 19.4% reporting low consideration of future consequences. In terms of substance use, 16.5% reported current NIDU and 12.3% reported current problem drinking. Rates of current injection drug use were too low to examine, however, 13.6% reported a lifetime history of IDU. Among those with a lifetime GBV history, 15.3% reported probable PTSD.
When lifetime GBV, mental health, psychosocial and demographic variables were examined by HIV status, there were a number of significant differences (Table 1). Chi-square analyses indicated that HIV-infected women were significantly more likely to have a lessened ability to consider future consequences when making decisions, were more likely to be hopeless, were older, and were more likely to be unemployed and lower income. Conversely, HIV-uninfected women were more likely to engage in moderate to heavy drinking, were more likely to engage in current non-injection drug use, were more likely to be married or living with a partner, and were more likely to have been born outside the US.
Table 1.
Descriptive Information by HIV Status
HIV-uninfected (n=202) | HIV-infected (n=534) | p Value | |
---|---|---|---|
Ever experienced GBV | 55.9% | 58.8% | 0.478 |
Ever experienced CSA | 19.0% | 23.3% | 0.220 |
Probable depression | 27.2% | 31.0% | 0.324 |
PTSD symptoms (n=421a) | 12.7% | 16.4% | 0.360 |
Low consideration of future consequences* | 13.9% | 21.7% | 0.018 |
High hopelessness* | 12.6% | 24.1% | 0.001 |
Low self esteem | 4.0% | 4.5% | 0.750 |
Problem drinking* | 17.8% | 10.5% | 0.007 |
Non-injection drug use* | 21.8% | 14.6% | 0.019 |
History of injection drug use | 10.4% | 15.1% | 0.109 |
Married/living with partner* | 38.7% | 27.8% | 0.006 |
Age 45 and older* | 42.1% | 51.3% | 0.025 |
Did not graduate high school | 29.9% | 34.1% | 0.270 |
Unemployed* | 45.5% | 61.6% | 0.000 |
Low income* | 44.9% | 56.0% | 0.010 |
Born outside US* | 26.2% | 18.5% | 0.021 |
Race: | |||
White | 5.9% | 11.4% | 0.100 |
African American | 76.7% | 73.4% | |
Hispanic | 12.9% | 12.5% | |
Other | 4.5% | 2.6% |
p<0.05; aOnly those with GBV histories completed PTSD symptom measure.
Given the nonsignificant differences between HIV-infected and uninfected women on lifetime GBV and CSA in the current study, we examined differences between those who experienced lifetime GBV and CSA and those who did not, without stratifying by HIV status. Chi-square analyses indicated significant differences between individuals who experienced lifetime GBV and those that did not on both psychosocial and demographic variables (Table 2). Women who experienced GBV had higher rates of probable depression (Chi Square=10.30), higher rates of current NIDU (Chi Square=25.62), and were more likely to have a history of IDU (Chi Square=19.95). Results of multivariate logistic regression indicated that current NIDU was associated with over a 2.6 times increased likelihood of having experienced lifetime GBV, and having a history of IDU was also associated with over a 2.6 times increased likelihood of having experienced lifetime GBV. In addition, being born outside the US reduced the odds of experiencing lifetime GBV by half (Table 3).
Table 2.
Psychosocial and Demographic Associations with Gender-Based Violence History
No GBV history (n=308) | GBV history (n=427) | p Value | |
---|---|---|---|
Probable depression* | 23.4% | 34.6% | 0.001 |
Low consideration of future consequences | 21.5% | 17.9% | 0.275 |
High hopelessness | 19.5% | 21.8% | 0.456 |
Low self esteem | 2.9% | 5.5% | 0.104 |
Problem drinking | 10.4% | 13.7% | 0.136 |
Non-injection drug use* | 8.4% | 22.5% | 0.000 |
History of injection drug use* | 6.8% | 18.3% | 0.000 |
Married/living with partner | 30.9% | 30.9% | 0.969 |
Age 45 and older* | 42.9% | 52.5% | 0.008 |
Did not graduate high school | 35.4% | 31.1% | 0.226 |
Unemployed* | 51.3% | 61.5% | 0.006 |
Low income* | 47.1% | 56.8% | 0.012 |
Born outside US* | 29.9% | 14.2% | 0.000 |
Race | |||
White | 8.1% | 11.3% | 0.382 |
African American | 76.0% | 73.3% | |
Hispanic | 12.0% | 12.8% | |
Other | 3.9% | 2.6% | |
HIV-infected | 71.1% | 73.3% | 0.515 |
p<0.05
Table 3.
Logistic Regression Model of Correlates of Gender-Based Violence History
Odds ratio | 95% Confidence interval | p Value | |
---|---|---|---|
Probable depression | 1.39 | 0.96–2.01 | 0.083 |
Non-injection drug use* | 2.65 | 1.61–4.34 | 0.000 |
History of injection drug use* | 2.58 | 1.46–4.54 | 0.001 |
Age 45 and older | 1.07 | 0.76–1.52 | 0.685 |
Unemployed | 1.06 | 0.73–1.54 | 0.770 |
Low Income | 1.15 | 0.79–1.66 | 0.476 |
Born outside US* | 0.52 | 0.35–0.78 | 0.002 |
p<0.05
Similar patterns were found in those who experienced childhood sexual abuse, specifically, in that participants who experienced CSA had higher rates of probable depression (Chi Square=5.81), higher rates of hopelessness (Chi Square=5.49), higher rates of current NIDU (Chi Square=13.28), and were more likely to have a history of IDU (Chi Square=27.78), in addition to a number of demographic factors (Table 4). Multivariate logistic regression indicated that, similar to overall lifetime GBV, current NIDU was associated with over a 2.1 times greater likelihood of having experienced CSA, and having a history of IDU was associated with over a 2.5 times increased likelihood of having experienced CSA. In addition, being born in the US, and White race increased the odds of having a history of childhood sexual abuse (Table 5).
Table 4.
Psychosocial and Demographic Associations with Childhood Sexual Abuse History
No CSA history (n=544) | CSA history (n =154) | p Value | |
---|---|---|---|
Probable depression* | 27.4% | 37.3% | 0.016 |
Low consideration of future consequences | 18.1% | 24.2% | 0.110 |
High hopelessness* | 18.9% | 27.8% | 0.019 |
Low self esteem | 4.1% | 6.5% | 0.198 |
Problem drinking | 11.1% | 15.6% | 0.163 |
Non-injection drug use* | 14.0% | 26.6% | 0.000 |
History of injection drug use* | 9.4% | 26.5% | 0.000 |
Married/living with partner | 32.0% | 28.9% | 0.500 |
Age 45 and older* | 44.5% | 64.3% | 0.000 |
Did not graduate high school | 33.0% | 28.8% | 0.325 |
Unemployed | 56.7% | 55.8% | 0.832 |
Low income | 52.4% | 53.4% | 0.843 |
Born outside US* | 24.6% | 7.1% | 0.000 |
Race* | |||
White | 7.0% | 21.4% | 0.000 |
African American | 77.3% | 67.6% | |
Hispanic | 12.4% | 8.4% | |
Other | 3.3% | 2.6% | |
HIV-infected | 70.8% | 76.0% | 0.207 |
p<0.05
Table 5.
Logistic Regression Model of Correlates of Childhood Sexual Abuse History
Odds ratio | 95% Confidence interval | p Value | |
---|---|---|---|
Probable depression | 1.03 | 0.66–1.63 | 0.888 |
High hopelessness | 1.44 | 0.88–2.36 | 0.148 |
Non-injection drug use* | 2.12 | 1.32–3.42 | 0.002 |
History of injection drug use* | 2.59 | 1.52–4.40 | 0.000 |
Age 45 and older | 1.52 | 0.99–2.33 | 0.058 |
Born outside US* | 0.38 | 0.19–0.76 | 0.006 |
Race* | |||
White | |||
African American | 0.31 | 0.18–0.53 | 0.000 |
Hispanic | 0.27 | 0.12–0.60 | 0.001 |
Other | 0.31 | 0.08–1.24 | 0.099 |
p<0.05.
Given the increased rates of low consideration of future consequences and hopelessness among HIV-infected women as compared to the uninfected women and the significant impact of lifetime GBV and CSA on NIDU among all participants, we conducted post hoc analyses to determine whether there was any interaction between lifetime GBV and the aforementioned psychosocial variables on NIDU, as well as any interaction between CSA and the psychosocial variables on NIDU among the HIV-infected women in the study. Unadjusted analyses indicated a significant interaction between lifetime GBV and hopelessness on NIDU (OR=2.45, 95% CI=1.37, 4.38) and a significant interaction between CSA and hopelessness on NIDU (OR=2.35, 95% CI=1.04, 5.31) among the HIV-infected participants. Specifically, NIDU was most common among those HIV-infected participants with a lifetime GBV history and high hopelessness (26.3% engaged in NIDU) as compared to those with no lifetime GBV history and low hopelessness (8.0% engaged in NIDU). Similarly, NIDU was most common among HIV-infected participants with a CSA history and high hopelessness (28.1% engaged in NIDU) as compared to those with no CSA history and low hopelessness (11.9% engaged in NIDU). However, in adjusted analyses, being unemployed was the strongest variable associated with current engagement in NIDU (OR=2.24, 95% CI=1.13, 4.41) and the interactions became non-significant.
Discussion
The findings of the current study underscore that substance use is a recognized, but essential and undertreated correlate of lifetime GBV. Current non-injection drug use and a history of injection drug use were most strongly associated with lifetime GBV above and beyond the other psychosocial variables of interest in the current study. Although the current study sought to understand modifiable psychosocial correlates of lifetime GBV such as self-esteem, hopelessness, and consideration of future consequences, in addition to mental health difficulties, these findings suggest that the modifiable factor of non-injection drug use may be the most salient factor to target in interventions. This is especially important given the strong associations between substance use and sexual risk, as well as between substance use and antiretroviral adherence among HIV-infected women.20,27,43,44,49 Preliminary research of the efficacy of trauma focused interventions among substance abusing women indicate that these interventions reduce PTSD symptoms and have a modest impact on substance use.57 Future research is imperative in order to understand the most effective treatment approaches for low income, ethnic minority women with histories of GBV and substance use. It is possible that engagement in substance abuse treatment alone would mitigate PTSD symptoms, but it is more likely that researchers need to consider syndemic models of interventions that are culturally relevant for the population.
Contrary to prior studies, there were no statistically significant differences by HIV status in terms of rates of lifetime GBV, CSA, depression or PTSD symptoms. However, there were significant differences on psychosocial variables such that HIV-infected women were more likely to have low consideration of future consequences and higher levels of hopelessness. Further analysis indicated that hopelessness was particularly important among the HIV-infected women and, in the unadjusted model, the interaction between hopelessness and both lifetime GBV and CSA conferred a significant impact on engagement in current NIDU. Although this interaction was not significant when employment was considered, it again points to the fact that there are aspects of mental health specific to women with HIV infection that need to be considered in syndemic approaches to trauma and substance use intervention. We may need to consider focusing on reducing hopelessness in behavioral interventions that involve HIV-infected women as it is a modifiable variable that can be effectively targeted in cognitive behavioral interventions and, in particular, new therapy techniques that focus on future orientation.58,59 Further, the fact that the HIV-infected women had a diminished ability to consider future consequences as compared to their HIV-uninfected counterparts indicates that this modifiable factor may also be important to include in behavioral interventions targeted toward HIV-infected women. Community-level interventions based on empowerment models have been successful in reducing GBV incidence among at-risk women and in decreasing HIV risk behaviors.60,61 Perhaps these models can be applied to HIV-infected women grappling with substance use issues as well, particularly if community empowerment impacts individual-level hopelessness and consideration of future consequences. Further, targeting economic empowerment as indicated by the strong effect of unemployment on non-injection drug use among the HIV-infected women in the study is also likely an important construct to target at the macro-level.
The HIV-infected women did have higher rates of lifetime GBV and CSA in the current study although the differences were not statistically significant. The lack of significance may be due to sample size issues or it could indicate that the two groups are particularly well matched demographically and that perhaps demographic factors placed all the women at equally higher risk for GBV/CSA histories as compared to their HIV status. Prospective research designs following young women at risk for GBV would be useful in clarifying some of the pathways that place both HIV-infected and uninfected women at risk for violence exposure. Further, given the clear risk for GBV among low SES women across HIV status, it is possible that family-based intervention during youth and adolescence among uninfected/at-risk individuals and families may be most beneficial. Future intervention development among HIV-uninfected women with GBV histories may benefit from initially focusing on the impact of GBV on substance use to determine whether substance use treatment is enough to reduce trauma symptoms given the strong association between GBV and substance use among the uninfected women in this sample.
There were unexpected demographic findings in the current research that warrant discussion. Results indicated that being born outside of the US was possibly protective in terms of GBV and CSA given the lower rates among non-US born participants (GBV: 62.9% of the US born participants vs. 39.5% of the non-US born; CSA: 25.8% of the US born participants vs. 7.6% of the non-US born participants). Literature typically points to immigrant women being at particularly high risk for victimization, particularly intimate partner violence, due to many factors including the stress of immigration, the experience of discrimination and marginalization in the US, loss of social networks, and increased financial stress.62–66 Also, there is often under-reporting of IPV, in particular, among immigrant women, largely having to do with structural barriers, cultural barriers, and fears of the US justice system, including possible fears of deportation.67–69 Given this information, it is possible that we were seeing an under-reporting of abuse among our non-US born participants. However, it is also possible that among the current study participants, there is something protective about being born outside of the US, perhaps having to do with social networks and support that do exist among the immigrant women in our study. This possibility is augmented by the fact that, in the current study, White race was a risk factor for history of childhood sexual abuse and White race was also highly correlated with non-immigrant status. Further, the majority (62%) of women who identified as non-US born also identified as being from the West Indies. More research with West Indian immigrants is needed, but initial studies indicate that the pathways between GBV and mental health issues differ between African Americans and those of West Indian decent (both immigrants and non-immigrants).70
The study has a number of limitations. First, we used a general definition of lifetime GBV and CSA that did not take into account psychological abuse, threats of abuse, severity of abuse, duration of abuse, or perpetrator. Previous research has indicated differences in outcomes due to such factors, so it is possible that results may have varied should we have incorporated an ordinal scale of abuse.38,43,44 Further, the GBV variable and CSA variable overlapped in that CSA was part of the definition of GBV, thereby preventing us from analyzing the relative contribution of physical violence, physical violence during childhood, or violence only in adulthood. Second, our psychosocial variables were collected at one time point and it is possible that a longitudinal review of psychosocial variables would indicate fluctuations that were congruous with current abuse. Our rates of current GBV (not lifetime) were too small to examine in data analysis. Similarly, due to the cross-sectional nature of the psychosocial variables, we were unable to determine causality, particularly in terms of the associations between HIV status and hopelessness and between HIV status and consideration of future consequences. Third, we relied on self-report data regarding violence experience, mental health, and substance use. As mentioned earlier, this may have resulted in under-reporting, particularly among more marginalized groups such as immigrant women, but most of the women in the current study have been in the WIHS for at least 10 years and, as such, are generally comfortable responding to questions of a sensitive nature. Finally, the WIHS participants in the current study have been in the WIHS cohort for either 10 or 15 years. As such, they have been more exposed to routine follow-up exams and data collection as compared to women living with HIV in the general population. Therefore, results of the current study may not be generalizable to the population of women living with HIV or at risk for HIV in the US.
Future research should examine the impact of substance use treatment on PTSD symptoms among women with GBV and/or CSA histories, as well as to expand trauma focused mental health services to women with substance use issues. Preliminary intervention trials have had moderate success in PTSD symptom reduction among HIV-uninfected women in substance use treatment.57 Further, the current study underscores that, among women with HIV infection, it may be important to target factors such as hopelessness and decreased ability to consider future consequences in interventions whether they have to do with substance use reduction, sexual risk reduction, or promoting adherence to HIV medical care. Finally, multi-level interventions and interventions coordinated across multiple settings such as clinics, homes, schools, and communities are likely to have the greatest impact on the syndemic, co-occurring nature of HIV, poverty, violence, substance use, and mental health issues among women.
Acknowledgments
Data in this article were collected by the Women's Interagency HIV Study (WIHS). The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH). WIHS (Principal Investigators) at three substudy sites: Brooklyn WIHS (Howard Minkoff and Deborah Gustafson), U01-AI-031834; Chicago WIHS (Mardge Cohen), U01-AI-034993; Metropolitan Washington WIHS (Mary Young), U01-AI-034994. The WIHS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID), with additional co-funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), the National Cancer Institute (NCI), the National Institute on Drug Abuse (NIDA), and the National Institute on Mental Health (NIMH). The current study was largely supported by NIDA.
Author Disclosure Statement
No competing financial interests exist.
References
- 1.El-Bassel N, Gilbert L, Witte S, Wu E, Chang M. Intimate partner violence and HIV among drug-involved women: Contexts linking these two epidemics–challenges and implications for prevention and treatment. Substance Use Misuse 2011;46:295–306 [DOI] [PubMed] [Google Scholar]
- 2.Mittal M, Senn TE, Carey MP. Mediators of the relation between partner violence and sexual risk behavior among women attending a sexually transmitted disease clinic. Sex Trans Dis 2011;38:510–515 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Seth P, Raiford JL, Robinson LS, Wingood GM, Diclemente RJ. Intimate partner violence and other partner-related factors: Correlates of sexually transmissible infections and risky sexual behaviours among young adult African American women. Sexual Health 2010;7:25–30 [DOI] [PubMed] [Google Scholar]
- 4.Wyatt GE, Myers HF, Williams JK, et al. Does a history of trauma contribute to HIV risk for women of color? Implications for prevention and policy. Am J Public Health 2002;92:660–665 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wingood GM, DiClemente RJ. The effects of an abusive primary partner on the condom use and sexual negotiation practices of African-American women. Am J Public Health 1997;87:1016–1018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Campbell JC. Health consequences of intimate partner violence. Lancet 2002;359:1331–1336 [DOI] [PubMed] [Google Scholar]
- 7.Ramachandran S, Yonas MA, Silvestre AJ, Burke JG. Intimate partner violence among HIV-positive persons in an urban clinic. AIDS Care 2010;22:1536–1543 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sareen J, Pagura J, Grant B. Is intimate partner violence associated with HIV infection among women in the United States? Gen Hosp Psychiatry 2009;31:274–278 [DOI] [PubMed] [Google Scholar]
- 9.Campbell JC, Baty ML, Ghandour RM, Stockman JK, Francisco L, Wagman J. The intersection of intimate partner violence against women and HIV/AIDS: A review. Intl J Injury Control Safety Promo 2008;15:221–231 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Messer LC, Quinlivan EB, Parnell H, et al. Barriers and facilitators to testing, treatment entry, and engagement in case by HIV-positive women of color. AIDS Patient Care STDs 2013;27:398–407 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Quinlivan EC, Messer LC, Adimora AA, et al. Experiences with HIV testing, entry, and engagement in care by HIV-infected women of color and the need for autonomy, competency and relatedness. AIDS Patient Care STDs 2013;27:408–415 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Schafer KR, Brant J, Gupta S, et al. Intimate partner violence: A predictor of worse HIV outcomes and engagement in care. AIDS Patient Care STDs 2012;26:356–365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Toth M, Messer LC, Quinlivan EB. Barriers to HIV care for women of color living in the Southeastern US are associated with physical symptoms, social environment, and self-determination. AIDS Patient Care STDs 2013;27:613–620 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rodriguez-Srednicki O. Childhood sexual abuse, dissociation, and adult self-destructive behavior. J Child Sexual Abuse 2001;10:75–90 [DOI] [PubMed] [Google Scholar]
- 15.Bensley LS, Van Eenwyk J, Simmons KW. Self-reported childhood sexual and physical abuse and adult HIV-risk behaviors and heavy drinking. Am J Prevent Med 2000;18:151–158 [DOI] [PubMed] [Google Scholar]
- 16.Davey-Rothwell MA, Chander G, Hester L, Latkin CA. Social network characteristics and heavy episodic drinking among women at risk for HIV/sexually transmitted infections. J Studies Alcohol Drugs 2011;72:1041–1047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rothman EF, Edwards EM, Heeren T, Hingson RW. Adverse childhood experiences predict earlier age of drinking onset: Results from a representative US sample of current or former drinkers. Pediatrics 2008;122:e298–e304 [DOI] [PubMed] [Google Scholar]
- 18.Lu W, Mueser KT, Rosenberg SD, Jankowski MK. Correlates of adverse childhood experiences among adults with severe mood disorders. Psychiatr Serv 2008;59:1018–1026 [DOI] [PubMed] [Google Scholar]
- 19.Gonzalez-Guarda RM, Florom-Smith AL, Thomas T. A syndemic model of substance abuse, intimate partner violence, HIV infection, and mental health among Hispanics. Public Health Nurs 2011;28:366–378 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Wyatt GE, Carmona JV, Loeb TB, Williams JK. HIV-positive black women with histories of childhood sexual abuse: Patterns of substance use and barriers to health care. J Health Care Poor Underserved 2005;16:9–23 [DOI] [PubMed] [Google Scholar]
- 21.Back SE, Brady KT, Waldrop AE, Yeatts SD, McRae AL, Spratt E. Early life trauma and sensitivity to current life stressors in individuals with and without cocaine dependence. Am J Drug Alcohol Abuse 2008;34:389–396 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Reviere SL, Farber EW, Twomey H, et al. Intimate partner violence and suicidality in low-income African American women: A multimethod assessment of coping factors. Violence Against Women 2007;13:1113–1129 [DOI] [PubMed] [Google Scholar]
- 23.Illangasekare S, Burke J, Chander G, Gielen A. The syndemic effects of intimate partner violence, HIV/AIDS, and substance abuse on depression among low-income urban women. J Urban Health Med 2013;90:934–947 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Meyer JP, Springer SA, Altice FL. Substance abuse, violence, and HIV in women: A literature review of the syndemic. J Womens Health (Larchmt) 2011;20:991–1006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Cavanaugh CE, Hansen NB, Sullivan TP. HIV sexual risk behavior among low-income women experiencing intimate partner violence: The role of posttraumatic stress disorder. AIDS Behav 2010;14:318–327 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sullivan TP, Cavanaugh CE, Buckner JD, Edmondson D. Testing posttraumatic stress as a mediator of physical, sexual, and psychological intimate partner violence and substance problems among women. J Traum Stress 2009;22:575–584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Panchanadeswaran S, Frye V, Nandi V, Galea S, Vlahov D, Ompad D. Intimate partner violence and consistent condom use among drug-using heterosexual women in New York City. Women Health 2010;50:107–124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Springer KW, Sheridan J, Kuo D, Carnes M. Long-term physical and mental health consequences of childhood physical abuse: Results from a large population-based sample of men and women. Child Abuse Neglect 2007;31:517–530 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Risser HJ, Hetzel-Riggin MD, Thomsen CJ, McCanne TR. PTSD as a mediator of sexual revictimization: The role of reexperiencing, avoidance, and arousal symptoms. J Traum Stress 2006;19:687–698 [DOI] [PubMed] [Google Scholar]
- 30.Clum GA, Chung S, Ellen JM, et al. Victimization and sexual risk behavior in young HIV positive women: Exploration of mediators. AIDS Behav 2012;16:999–1010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Bonomi AE, Thompson RS, Anderson M, et al. Intimate partner violence and women's physical, mental, and social functioning. Am J Prevent Med 2006;30:458–466 [DOI] [PubMed] [Google Scholar]
- 32.Morrison MF, Petitto JM, Ten Have T, et al. Depressive and anxiety disorders in women with HIV infection. Am J Psychiatry 2002;159:789–796 [DOI] [PubMed] [Google Scholar]
- 33.Pilowsky DJ, Wu LT, Burchett B, Blazer DG, Woody GE, Ling W. Co-occurring amphetamine use and associated medical and psychiatric comorbidity among opioid-dependent adults: Results from the Clinical Trials Network. Substance Abuse Rehab1 2011;2:133–144 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Meade CS, Sikkema KJ. Psychiatric and psychosocial correlates of sexual risk behavior among adults with severe mental illness. Commun Mental Health J 2007;43:153–169 [DOI] [PubMed] [Google Scholar]
- 35.Kalichman SC, Sikkema KJ, DiFonzo K, Luke W, Austin J. Emotional adjustment in survivors of sexual assault living with HIV-AIDS. J Traum Stress 2002;15:289–296 [DOI] [PubMed] [Google Scholar]
- 36.Liebschutz JM, Feinman G, Sullivan L, Stein M, Samet J. Physical and sexual abuse in women infected with the human immunodeficiency virus: Increased illness and health care utilization. Arch Int Med 2000;160:1659–1664 [DOI] [PubMed] [Google Scholar]
- 37.Whetten K, Leserman J, Lowe K, et al. Prevalence of childhood sexual abuse and physical trauma in an HIV-positive sample from the deep south. Am J Public Health 2006;96:1028–1030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Cohen M, Deamant C, Barkan S, et al. Domestic violence and childhood sexual abuse in HIV-infected women and women at risk for HIV. Am J Public Health 2000;90:560–565 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Breslau N DG, Andreski P, Peterson E. Traumatic events and posttraumatic stress disorder in an urban population of young adults. Arch Gen Psychiatry 1991;48:216–222 [DOI] [PubMed] [Google Scholar]
- 40.Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson CB. Posttraumatic stress disorder in the National Comorbidity Survey. Arch Gen Psychiatry 1995;52:1048–1060 [DOI] [PubMed] [Google Scholar]
- 41.Resnick HS, Kilpatrick DG, Dansky BS, Saunders BE, Best CL. Prevalence of civilian trauma and posttraumatic stress disorder in a representative national sample of women. J Consult Clin Psychol 1993;61:984–991 [DOI] [PubMed] [Google Scholar]
- 42.Winfield I, George LK, Swartz M, Blazer DG. Sexual assault and psychiatric disorders among a community sample of women. Am J Psychiatry 1990;147:335–341 [DOI] [PubMed] [Google Scholar]
- 43.Wilson HW, Widom CS. Pathways from childhood abuse and neglect to HIV-risk sexual behavior in middle adulthood. J Consult Clin Psychol 2011;79:236–246 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Senn TE, Carey MP, Vanable PA. Childhood and adolescent sexual abuse and subsequent sexual risk behavior: Evidence from controlled studies, methodological critique, and suggestions for research. Clin Psychol Rev 2008;28:711–735 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Cunningham RM, Stiffman AR, Dore P, Earls F. The association of physical and sexual abuse with HIV risk behaviors in adolescence and young adulthood: Implications for public health. Child Abuse Neglect 1994;18:233–245 [DOI] [PubMed] [Google Scholar]
- 46.Meade CS, Hansen NB, Kochman A, Sikkema KJ. Utilization of medical treatments and adherence to antiretroviral therapy among HIV-positive adults with histories of childhood sexual abuse. AIDS Patient Care STDs 2009;23:259–266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bacon MC, von Wyl V, Alden C, et al. The Women's Interagency HIV Study: An observational cohort brings clinical sciences to the bench. Clin Diag Lab Immunol 2005;12:1013–1019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Barkan SE, Melnick SL, Preston-Martin S, et al. The Women's Interagency HIV Study. WIHS Collaborative Study Group. Epidemiology 1998;9:117–125 [PubMed] [Google Scholar]
- 49.Cohen MH, Cook JA, Grey D, et al. Medically eligible women who do not use HAART: The importance of abuse, drug use, and race. Am J Public Health 2004;94:1147–1151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Radloff LS. The CES-D Scale. Appl Psychol Measure 1977;1:385–401 [Google Scholar]
- 51.Alcoholism. NIoAAa. Moderate & Binge Drinking. 2012; http://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking Accessed September13, 2012
- 52.Rosenberg M. The association between self-esteem and anxiety. J Psychiatric Res 1962;1:135–152 [DOI] [PubMed] [Google Scholar]
- 53.Beck AT, Weissman A, Lester D, Trexler L. The measurement of pessimism: The hopelessness scale. J Consult Clin Psychol 1974;42:861–865 [DOI] [PubMed] [Google Scholar]
- 54.Strathman A, Gleichman F, Boninger DS, Edwards CS. The consideration of future consequences: Weighing immediate and distant outcomes of behavior. J Personality Soc Psychol 1994;66:742–752 [Google Scholar]
- 55.Ruggiero KJ, Del Ben K, Scotti JR, Rabalais AE. Psychometric properties of the PTSD Checklist-Civilian Version. J Traum Stress 2003;16:495–502 [DOI] [PubMed] [Google Scholar]
- 56.Harrington TN. The psychometric utility of two self-report measures of PTSD among women substance users. Addictive Behav 2007;32:2788–2798 [DOI] [PubMed] [Google Scholar]
- 57.Greenfield SF, Rosa C, Putnins SI, et al. Gender research in the National Institute on Drug Abuse National Treatment Clinical Trials Network: A summary of findings. Am J Drug Alcohol Abuse 2011;37:301–312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.van Beek W, Kerkhof A, Beekman A. Future oriented group training for suicidal patients: A randomized clinical trial. BMC Psychiatry 2009;9:65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vilhauer JS, Cortes J, Moali N, Chung S, Mirocha J, Ishak WW. Improving quality of life for patients with major depressive disorder by increasing hope and positive expectations with future directed therapy (FDT). Innov Clin Neurosci 2013;10:12–22 [PMC free article] [PubMed] [Google Scholar]
- 60.Dworkin SL DM, Krishnan S, Hatcher AM, Sawires S. Uncovering tensions and capitalizing on synergies in HIV/AIDS and antiviolence programs. Am J Public Health 2011;101:995–1003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kim J, Ferrari G, Abramsky T, et al. Assessing the incremental effects of combining economic and health interventions: The IMAGE study in South Africa. Bull World Health Organ 2009;87:824–832 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Nava A, McFarlane J, Gilroy H, Maddoux J. Acculturation and associated efects on abused immigrant women's safety and mental functioning: Results of entry data for a 7-year prospective study. J Immigr Minor Health 2013April2 [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 63.Guruge S, Shirpak KR, Hyman I, Zanchetta M, Gastaldo D, Sidani S. A meta-synthesis of post-migration changes in marital relationships in Canada. Can J Public Health 2010;101:327–331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Amanor-Boadu Y, Messing JT, Stith SM, Anderson JR, O'Sullivan CS, Campbell JC. Immigrant and nonimmigrant women: Factors that predict leaving an abusive relationship. Violence Against Women 2012;18:611–633 [DOI] [PubMed] [Google Scholar]
- 65.Champion JD. Woman abuse, assimilation and self concept in a rural Mexican American community. Hispanic J Behav Sci 1996;18:508–521 [Google Scholar]
- 66.Kantor GK, Jasinski JL, Aldarondo E. Sociocultural status and incidence of marital violence in Hispanic families. Violence Victims 1994;9:207–222 [PubMed] [Google Scholar]
- 67.Latta RE, Goodman LA. Considering the interplay of cultural context and service provision in intimate partner violence: The case of Haitian immigrant women. Violence Against Women 2005;11:1441–1464 [DOI] [PubMed] [Google Scholar]
- 68.Sullivan M, Senturia K, Negash T, Shiu-Thornton S, Giday B. “For us it is like living in the dark”: Ethiopian women's experiences with domestic violence. J Interpersonal Violence 2005;20:922–940 [DOI] [PubMed] [Google Scholar]
- 69.Keller EM, Brennan P.K. Cultural consideration and challenges to service delivery for Sudanese victims of domestic violence: Insights from service providers and actors in the criminal justice system. Intl Rev Victimol 2007;14:115–141 [Google Scholar]
- 70.Sabri B BR, McFadgion AL, Stockman JK, Lucea MB, Callwood GB, Coverston CR, Campbell JC. Intimate partner violence, depression, PTSD, and use of metal health resources among ethnically diverse Black women. Social Work Health Care 2013;52:351–369 [DOI] [PMC free article] [PubMed] [Google Scholar]