JAIDS Journal of Acquired Immune Deficiency Syndromes:
Epidemiology and Social Science
Intimate Partner Violence Functions as Both a Risk Marker and Risk Factor for Women's HIV Infection: Findings From Indian Husband-Wife Dyads
Decker, Michele R ScD*; Seage, George R III ScD†; Hemenway, David PhD‡; Raj, Anita PhD§; Saggurti, Niranjan PhD‖; Balaiah, Donta MSc, PhD¶; Silverman, Jay G PhD*
From the Departments of *Society, Human Development and Health; †Epidemiology; and ‡Health Policy and Management, Harvard Injury Control Research Center, Harvard School of Public Health, Boston, MA; §Department of Social and Behavioral Sciences, Boston University of Public Health, Boston, MA; ∥Population Council, New Delhi, India; and ¶National Institute for Research in Reproductive Health, Indian Council for Medical Research, Mumbai, India.
Received for publication September 24, 2008; accepted February 5, 2009.
Support for the creation of this article was provided to Dr. M. R. Decker via the Harvard University Center for AIDS Research (HU CFAR National Institutes of Health/National Institute of Allergy and Infectious Diseases fund P30-AI060354).
Correspondence to: Michele R. Decker, ScD, Department of Society, Human Development and Health, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115 (e-mail: email@example.com).
Context and Objective: Female victims of intimate partner violence (IPV) consistently demonstrate elevated sexually transmitted infection/HIV prevalence. IPV is thought to function indirectly as a marker of abusive men's elevated sexually transmitted infection/HIV infection and/or directly via facilitating transmission to wives. The present examination utilizes a nationally representative sample of married Indian couples to test these mechanisms and determine whether (1) abusive husbands demonstrate higher HIV infection prevalence compared with nonabusive husbands and (2) the risk of wives' HIV infection based on husbands' HIV infection varies as a function of their exposure to IPV.
Design, Setting, and Participants: The Indian National Family Health Survey-3 was conducted across all Indian states in 2005-2006. Analyses were limited to 20,425 husband-wife dyads, which provided both IPV data and HIV test results.
Analyses: Logistic regression models estimated the odds ratios and 95% confidence intervals (CIs) to evaluate the following associations: (1) husbands' HIV acquisition outside the marital relationship based on their perpetration of IPV and (2) wives' HIV infection based on husbands' HIV infection, as a function of their IPV exposure.
Results: One third (37.4%) of wives experienced IPV; 0.4% of husbands and 0.2% of wives were HIV infected. Compared with nonabusive husbands, abusive husbands demonstrated increased odds of HIV acquisition outside the marital relationship in adjusted models (adjusted odds ratio [AOR] = 1.91; 95% CI 1.11 to 3.27). Husbands' HIV infection was associated with increased HIV risk among wives; this risk was elevated 7-fold in abusive relationships in adjusted models (AOR = 7.22; 95% CI 1.05 to 49.88).
Conclusions: Findings provide the first empirical evidence that abused wives face increased HIV risk based both on the greater likelihood of HIV infection among abusive husbands and elevated HIV transmission within abusive relationships. Thus, IPV seems to function both as a risk marker and as a risk factor for HIV among women, indicating the need for interwoven efforts to prevent both men's sexual risk and IPV perpetration.
The global HIV epidemic is rapidly “feminizing.”1,2 Increasing numbers of women are HIV infected worldwide,1 and within the Indian context, women account for an estimated 40% of cases among 2.5 million people living with HIV/AIDS.3 Limited premarital and extramarital sexual behavior among Indian women4,5 renders heterosexual transmission from husbands the dominant infection pathway for wives.5-7 High levels of intimate partner violence (IPV) victimization are consistently documented in South Asia,8-12 with an estimated 1 in 3 women victimized across their lifetime.4 Such victimization is increasingly considered relevant to women's sexually transmitted infection (STI)/HIV risk in this region12-14 and elsewhere.15,16 A growing body of evidence demonstrates elevated STI/HIV prevalence among abused women,17-21 including recent findings from a national sample of Indian women illustrating greater HIV infection prevalence based on exposure to abuse from husbands.22 These data have prompted international attention to the possible mechanisms by which IPV and STI/HIV may relate23; however these theories remain untested to date.
Prior research highlights elevated sexual risk behaviors and STI prevalence among abusive men,12,13,16,24,25 bolstering the hypothesis that abusive men are more likely than nonabusive individuals to contract STI/HIV and may subsequently transmit infection to female partners. Thus, abused women's increased STI/HIV prevalence may reflect greater likelihood of STI/HIV exposure, rendering IPV a risk marker for their male partners' STI/HIV infection (Fig. 1). IPV may also increase women's STI/HIV risk more directly by providing enhanced opportunity for STI/HIV transmission. Abuse may facilitate STI/HIV transmission via women's limited negotiation capacity to refuse sex or use condoms26-28 and the potential for physical trauma (ie, tearing or lacerations) in situations of forced sex.29 While IPV cannot lead to STI/HIV in the absence of pathogen exposure, abuse may serve to enhance transmission in the presence of male partners' STI/HIV,21 rendering IPV a direct transmission risk factor. If determined to both a marker of abusive male partners' elevated STI/HIV infection prevalence and to mechanistically enhance STI/HIV transmission, IPV may be considered to pose “double jeopardy” to women, that is, limited control over sexual relationships with male partners more likely to be HIV infected.
To date, little work has begun to disentangle these 2 distinct vulnerabilities. Understanding the mechanisms underpinning abused women's elevated STI/HIV, that is, whether IPV functions as a marker of abusive men's HIV risk and/or facilitates transmission is critical for designing effective HIV prevention interventions. The Indian National Family Health Survey-3 (NFHS-3) represents the first national, population-based data on HIV status, sexual risk, and IPV for husband-wife dyads. The data thus offer empirical strength in HIV assessment while maximizing inferences to the general population. The present analysis seeks to extend prior findings from these data indicating elevated HIV infection prevalence among abused women22 by estimating (1) the association of IPV with husbands' HIV acquisition outside the marital relationship (ie, IPV as a risk marker for an HIV-infected husband) and (2) the extent to which IPV may modify the risk to the wives from HIV-infected husbands (ie, IPV as an HIV transmission mechanism or risk factor).
Design, Setting, and Sample
The national population-based Indian NFHS-3 was conducted in all 29 states of India by the International Institute for Population Sciences and Macro International from November 2005 to August 2006. The NFHS-3 is referred to as the “Demographic Health Survey” or “DHS” in other national contexts and is conducted regularly in many countries to obtain population-based estimates of major health threats. The NFHS-3 involves confidential questionnaires administered verbally to male and female participants separately; surveys were bilingual within each state, that is, each question was available in English and the principal language of the state. The nationally representative household-based sample for the NFHS-3 was created via a stratified, multistage, cluster strategy. Within each state, 2-stage (rural areas) and 3-stage (urban areas) procedures identified 3850 primary sampling units (PSUs) comprising 1 or more villages in rural areas and census enumeration blocks within wards in urban areas; PSU selection probability was proportional to size. Within each PSU, household enumeration generated the sampling frame for systematic selection of households. Trained research assistants conducted household-based recruitment and obtained written informed consent immediately before survey data collection. These procedures identified 131,596 eligible women aged 15-49 years, of which 124,385 completed the survey (response rate 95%; 124,385 of 131,596), and 85,373 eligible men aged 15-54 years, of which 74,369 completed the survey (response rate 87.1%; 74,369 of 85,373).4 The study protocol did not explicitly sample husband-wife dyads; rather, male participants' responses were matched to those of their married female partners to create a sample of husband-wife dyads (n = 39,257) subsequent to data collection. Further details concerning the NFHS-3 procedures are available elsewhere.4
The analytic sample was limited to husband-wife dyads for whom both HIV testing and IPV survey data were available; separate procedures selected subsets of participants for these 2 components. HIV testing was conducted for a systematically selected subset of participants. The 3% (3896 of 124,385) of female participants and 5% (3971 of 74,369) of male participants from the state of Nagaland were not included in HIV testing due to local opposition. Of the remaining female participants, 49% (58,202 of 120,489) were selected for HIV testing of whom 91% (52,853 of 58,202) participated. Of the remaining male participants, 79% (55,311 of 70,398) were selected for HIV testing of whom 91% (50,093 of 55,311) participated. Among the matched husband-wife dyads, 67% (26,230 of 39,257) contained HIV test results for both husband and wife.
The analytic sample was further restricted to dyads in which the wife was systematically selected to complete the IPV assessment. Of 26,230 husband-wife dyads linked with HIV data, 78% (20,433 of 26,230) had IPV data and thus were included in the sample. The final sample size was 20,425 husband-wife dyads, after exclusion of 8 dyads based on incomplete exposure (IPV) data or reportedly never having had sexual intercourse.
Demographics including age, religion, and education were assessed via single self-reported items on both the men and women's surveys. A relative index of household wealth was calculated based on interviewer-observed assets (eg, ownership of consumer items); the resulting score was divided into quintiles. Self-reported lifetime number of sexual partners, lifetime history of condom use for contraceptive purposes (reported on both men and women's survey), and male circumcision (obtained via men's survey) were considered as sexual risk covariates.
The primary exposure, IPV, was assessed via self-report in accordance with World Health Organization recommendations30 and based on the Conflict Tactics Scale.31 Lifetime IPV victimization was indicated by a positive answer to any of the following 8 items pertaining to experiences at the hands of their current husband: “push you, shake you, or throw something at you”; “slap you”; “punch you with a fist or something harmful”; “kick, drag, or beat you up”; “try to choke or burn you on purpose”; “threaten or attack you with a knife, gun, or any other weapon”; “physically force you to have sexual intercourse with him even when you did not want to”; or “force you to perform any sexual acts that you did not want to.” The assessment was administered only when privacy could be ensured. Items demonstrated adequate internal consistency reliability with Cronbach alpha = 0.76 for the current sample. Wives' reports of victimization served as a proxy for husbands' IPV perpetration in analyses pertaining to husbands.
HIV infection was assessed via collection and testing of dried blood spots pending a separate written informed consent. HIV test results were linked to participant survey data via unique bar codes, thus eliminating the need for individual identifiers and preserving anonymity of test results. Consistent with World Health Organization (WHO)/UNAIDS guidelines for population-based HIV seroprevalence assessment,32 a sequential multiple testing protocol was followed whereby all positive results and 5% of negative results diagnosed via the first enzyme-linked immunosorbent assay (Microlisa by J. Mitra, New Delhi, India) were tested with a second enzyme-linked immunosorbent assay (Enzaid-Span 3 by Span Diagnostics, New Delhi, India); the Innolia Western blot kit was used for nonmatching results. The SRL Ranbaxy Laboratory (Mumbai, India) provided HIV antibody testing and compilation of results. An external quality control laboratory at the National AIDS Control Organization in Pune, India, validated a subsample of test results. All study procedures were approved by the ORC Macro Institutional Review Board; the Harvard School of Public Health Human Subjects Committee deemed analyses exempt given the anonymous nature of the data.
Prevalence estimates of IPV perpetration/victimization based on wives' reports of husband behavior and husband and wife HIV infection were calculated. Differences in IPV and HIV based on demographics and sexual risk behavior were assessed separately for husbands and wives via Wald χ2 analyses; significance for all analyses was set at P < 0.05.
Assessment of the extent to which IPV represents a marker for husbands' HIV infection was conducted via logistic regression models, which estimated odds ratios (ORs) and 95% confidence intervals (CIs) for the association of IPV perpetration with husbands' HIV infection. To maximize clarity and empirical strength in assessing the extent to which IPV perpetration related to husbands' acquisition of HIV infection outside the marital relationship, this analysis was restricted to husbands whose wives were not infected with HIV, that is, those husbands who could not have acquired HIV via their wives (n = 20,358). The model was subsequently adjusted for husbands' sexual risk covariates (ie, lifetime sex partners, lifetime condom use, and circumcision) and husbands' potential demographic confounders (ie, age, education, and household wealth). Religion was not included as a covariate given its collinearity with circumcision. OR and AOR estimates generated via logistic regression were evaluated for statistical significance based on 95% CIs not crossing 1.0.
Assessment of the extent to which HIV infection among wives related to husbands' HIV infection, and whether this effect varied based on the presence of IPV (ie, IPV as a transmission risk factor), was conducted via logistic regression models, which first estimated AORs and 95% CIs for associations of husbands' HIV infection with wives' HIV infection using the full analytic sample. Covariates included wives' sexual risk behaviors (ie, lifetime number of sexual partners and lifetime condom use) and wives' potential demographic confounders (ie, age, education, women's religion, and household wealth). The adjusted model was then stratified by presence of IPV in the marital relationship, that is, IPV present (n = 7147) and IPV not present (n = 13,278). The final model utilized the full analytic sample and included an indicator term reflecting exposure to both IPV and male partners' HIV, while controlling for IPV. AOR estimates generated were evaluated for statistical significance based on 95% CIs not crossing 1.0. To maximize statistical power, missing data were imputed as the referent as follows for all multivariate analyses: missing education data were coded as having no education (8 husbands and 1 wife), missing condom use data were coded as having never used condoms (24 husbands and 30 wives), missing information on number of lifetime sex partners were coded as having had 1 partner (48 husbands and 40 wives), and 158 husbands with unknown circumcision status were classified as uncircumcised. Sensitivity analyses indicated that no effect estimate was modified by 1% or more based on these procedures. All analyses were conducted in STATA to accommodate the complex design of the NFHS-3; the “svyyset” command was used to accommodate potential nonindependence of responses within PSUs, and all analyses were weighted for nonresponse using the nationally representative men and women's HIV testing weights standardized to the analytic sample.
Prevalence and Correlates of IPV and HIV Infection Among Husbands
The prevalence of IPV against wives among married Indian couples was 37.4% (95% CI 36.1 to 38.7), and 0.4% (95% CI 0.3 to 0.5) of husbands were HIV infected (Table 1). IPV perpetration prevalence inversely related to educational attainment (P < 0.001) and household wealth (P < 0.001) and varied across husbands' religious groupings, with Muslim men demonstrating the highest prevalence (40.9%, P < 0.001). Fewer than 1 in 5 husbands (18.3%) reported more than 1 sexual partner in their lifetime. IPV perpetration was more prevalent among such husbands (42.8% vs. 36.1%, P < 0.001) and among those never having used condoms (40.0% vs. 30.6%, P < 0.001). Husbands with more than 1 lifetime sex partner also demonstrated elevated HIV prevalence (0.7% vs. 0.3%, P = 0.013).
Prevalence of HIV Infection and Correlates of IPV Victimization and HIV Among Wives
Among wives, IPV victimization prevalence inversely related to educational attainment (P < 0.001) and household wealth (P < 0.001; Table 2). Muslim wives demonstrated the highest victimization prevalence relative to other religious groupings (41.0%, P < 0.001). IPV victimization was more prevalent among wives having had multiple sex partners (54.8% vs. 37.2%, P < 0.001) and those who had never used condoms (38.3% vs. 33.1%, P < 0.001). The prevalence of HIV among wives was 0.2% (95% CI 0.1 to 0.3); HIV infection varied by religious groupings and was most prevalent among Hindu wives (0.2%, P = 0.028).
Associations of IPV Perpetration With Husbands' HIV Infection Acquired Outside Marital Relationship
Among husbands whose wives were not HIV infected (ie, husbands who were not at risk for HIV acquisition from their wives, n = 20,358), the odds of HIV infection were significantly elevated based on IPV perpetration (OR 1.94; 95% CI 1.02 to 3.69, Table 3). The association of IPV perpetration with husbands' HIV infection persisted after controlling for husbands' demographic factors and sexual risk covariates (AOR 1.91; 95% CI 1.11 to 3.27).
Associations of Husband HIV Infection with Wives' HIV Infection, as a Function of IPV
Among all couples, husbands' HIV infection was associated with their wives' HIV infection after accounting for wives' demographics and sexual risk covariates (AOR 740.40; 95% CI 308.08 to 1777.42, P < 0.001; Table 4). In analyses stratified by presence of IPV in the relationship, husbands' HIV infection related to wives' HIV infection within both abusive (AOR 4610.88; 95% CI 858.96 to 24751.04, P < 0.001) and nonabusive (AOR 544.97; 95% CI 198.38 to 1497.09, P < 0.001) strata. In the final model, a multiplicative interaction term quantified the magnitude of the difference in these effect estimates. In the presence of an interaction term representing exposure to both husbands' HIV infection and IPV, the main effects for each component of the interaction term are interpreted as the odds of wives' HIV in the referent group for each component of the interaction term, that is, the main effect of husbands' HIV infection (AOR 539.13; 95% CI 198.19 to 1466.58, P < 0.001) is interpreted as the effect of husbands' HIV infection in the absence of IPV. A significant multiplicative interactive effect of exposure to both husbands' HIV and IPV on wives' HIV was detected, whereby the odds of wives' HIV infection based on husbands' HIV infection increased 7-fold in the presence of IPV (AOR 7.22; 95% CI 1.05 to 49.88, P = 0.045) over the odds of wives' HIV infection based on exposure to husbands' HIV in the absence of IPV. No associations were detected between wives' sexual risk behaviors and their HIV infection status.
Our findings from this first population-based investigation of the effect of IPV on HIV among husband-wife dyads indicate that abusive husbands increase their wives' HIV risk in the Indian context via 2 distinct, yet convergent, pathways, specifically abusive husbands' heightened risk of HIV infection and heightened risk of infection transmission in the presence of IPV. Compared with nonabusive husbands, abusive husbands demonstrated almost twice the odds of acquiring HIV outside their marital relationship. This finding supports concerns that abusive men are more likely to acquire HIV and subsequently introduce infection into their marital relationships; thus, IPV may be considered a risk marker for wives' HIV infection via abusive husbands' greater odds of HIV infection. Moreover, compared with wives' exposure to their husbands' HIV infection in the absence of violence, wives' exposure to both IPV and husbands' HIV heightened their odds of contracting HIV 7-fold. This evidence supports the hypothesis that IPV may facilitate HIV transmission from an infected partner, rendering IPV a risk factor (ie, direct mechanism) for women's HIV infection given exposure to husband's HIV. Taken together, these results support the hypothesis that abused women's elevated HIV prevalence reflects their being subject to double jeopardy, that is, abused women are more likely to have an HIV-infected male partner, with whom HIV transmission may be enhanced based on abuse in the relationship.
These findings advance previous efforts devoted to understanding both elements of abused women's double jeopardy for HIV infection, with prior work informing the mechanisms likely responsible. Current evidence that abusive men are more likely to acquire HIV outside the marital relationship (ie, IPV as a risk marker for HIV) advances prior investigations across diverse settings demonstrating elevated sexual risk behavior and self-reported STI among abusive men12,13,16,24 by confirming these findings via utilization of laboratory testing for HIV among a population-based sample. Analyses restricted to the sample of husbands to those whose wives were not HIV infected afforded greater empirical clarity than previously possible in testing hypotheses that abusive husbands are at greater risk for acquiring HIV outside the marital relationship and subsequently introducing it to their wives. Both men's IPV perpetration and their sexual risk behavior are increasingly considered to stem from a common source, specifically socially sanctioned norms of masculinity that prioritize sexual entitlement and multiple partnering and physical and sexual domination of female partners.15,33,34 As such, the Indian National AIDS Control Organization has recognized social norms endorsing men's sexual entitlement and power over women as a factor in women's HIV vulnerability.35 Supporting the import of modifying such factors, recent efforts targeting the intersection of men's sexual risk and abusive behavior have been demonstrated effective in reducing both men's violence perpetration and incident STI in the African context36; similar efforts underway in India should be prioritized as they hold promise in modifying masculinity norms to reduce both IPV and HIV/STI.34
Current evidence of facilitated HIV transmission to female partners in the presence of IPV (ie, IPV as a risk factor) similarly advances the current state of knowledge. Use of matched husband-wife dyads with integrated HIV test results allowed assessment of the differential impact of wives' exposure to their husbands' HIV across violent and nonviolent relationships, with women whose husbands were violent suffering approximately 7 times the risk of becoming infected with HIV based on exposure to their husbands' infection. Prior work suggests a number of mechanisms for women's greater likelihood of HIV infection based on exposure to husbands' HIV in the presence of violence. The role of unwanted sex and subsequent physical trauma (ie, tearing or lacerations)23,29 associated with IPV is likely critical in increasing opportunity for infection transmission. Cultural norms dictate low levels of sexual communication between spouses concerning sexuality among this population generally27; abused women's limited ability to negotiate or refuse sex in the face of violence, coupled with unwanted sex obtained via physical force and a range of coercive tactics,13,26,27,35,37 likely facilitate trauma and HIV transmission. Qualitatively riskier sexual practices, for example, anal sex, found more common among male IPV perpetrators,38 may also constitute an enhanced transmission mechanism within abusive relationships. Although condom use was relatively rare within the current sample of married couples, evidence from India of violence in response to condom requests by wives26,27 suggests that abused women's limited ability to negotiate condom use (eg, in the context of wives' knowledge of their HIV infection or suspicion of extramarital sexual risk behavior) may increase risk of HIV transmission, even within this low use setting. Further investigations using husband-wife dyads as the unit of analysis across other national and high-risk contexts are recommended to advance the empirical basis for these hypothesized mechanisms and clarify the present findings.
Limitations of the current study include the inability to establish a temporal relationship based on the cross-sectional nature of the study, thus incident and secondary infections among concordant husband-wife dyads cannot be disentangled. Although the analyses were based on a conceptual framework positing that husbands may be more likely to introduce HIV to the relationship, it is not possible to rule out the possibility that wives introduced HIV infection within concordant couples, although this seems unlikely based on the current findings that wives' sexual risk was not associated with their HIV infection. Low levels of prior HIV testing in this sample4 suggest that the majority of participants were unaware of their HIV status at the time of testing, limiting concerns that IPV could have been caused by HIV disclosure.39,40 Although procedures entailing multiple testing and external quality control enhanced the precision of HIV assessment, misclassification is possible, and the low prevalence of HIV renders analyses sensitive to potential misclassification. Although potential misclassification could limit the precision of estimates, misclassification is not likely to be differential relative to IPV, thus minimizing bias. The IPV assessment was dichotomized for ease in interpretation; further investigation is needed to evaluate the extent to which patterns identified may vary across severity levels and types of (ie, physical and sexual) violence. The self-reported nature of sexual risk behaviors by both male and female participants renders these measures imprecise.
The findings from this population-based study of IPV and HIV in India bolster the hypothesis that abused women face double jeopardy, that is, compounded risk for HIV infection based on both abusive husbands' greater likelihood of HIV infection and facilitated HIV transmission within abusive relationships. Patterns identified likely extend to other STIs that, although treatable, demonstrate higher population prevalence within the Indian context and elsewhere.25,41,42 The current evidence that IPV serves both as a risk marker for greater likelihood of HIV infection and as a direct HIV transmission mechanism serves to echo calls for simultaneous modification of men's sexual risk behavior and reduction of violence perpetration against female partners both within south Asia and elsewhere.12,15 As IPV may function to facilitate HIV transmission, the reduction of men's sexual risk in the absence of reducing their abuse of female partners may fall critically short of stemming the secondary transmission of HIV and other STIs. Given evidence that over 1 in 3 women face abuse at the hands of their husbands both in the current sample and worldwide,43 the need for prevention to stem the interwoven threats of IPV and HIV to women's health and well-being cannot be overstated.
1. Quinn TC, Overbaugh J. HIV/AIDS in women: an expanding epidemic. Science. 2005;308:1582-1583.
2. Wingood GM. Feminization of the HIV epidemic in the United States: major research findings and future research needs. J Urban Health. 2003;80(Suppl 3):iii67-iii76.
3. National AIDS Control Organization. UNGASS Country Progress Report 2008 India. Delhi, India: NACO; 2008.
4. IIPS and Macro International. India National Family Health Survey (NFHS-3) 2005-06. Mumbai, India: International Institute for Population Sciences (IIPS) and Macro International Inc; 2007.
5. Mehta SH, Gupta A, Sahay S, et al. High HIV prevalence among a high-risk subgroup of women attending sexually transmitted infection clinics in Pune, India. J Acquir Immune Defic Syndr. 2006;41:75-80.
6. Gangakhedkar RR, Bentley ME, Divekar AD, et al. Spread of HIV infection in married monogamous women in India. JAMA. 1997;278:2090-2092.
7. Newmann S, Sarin P, Kumarasamy N, et al. Marriage, monogamy and HIV: a profile of HIV-infected women in south India. Int J STD AIDS. 2000;11:250-253.
8. Bates LM, Schuler SR, Islam F, et al. Socioeconomic factors and processes associated with domestic violence in rural Bangladesh. Int Fam Plan Perspect. 2004;30:190-199.
9. Koenig MA, Stephenson R, Ahmed S, et al. Individual and contextual determinants of domestic violence in North India. Am J Public Health. 2006;96:132-138.
10. Kumar S, Jeyaseelan L, Suresh S, et al. Domestic violence and its mental health correlates in Indian women. Br J Psychiatry. 2005;187:62-67.
11. Naved RT, Azim S, Bhuiya A, et al. Physical violence by husbands: magnitude, disclosure and help-seeking behavior of women in Bangladesh. Soc Sci Med. 2006;62:2917-2929.
12. Silverman JG, Decker MR, Kapur NA, et al. Violence against wives, sexual risk and sexually transmitted infection among Bangladeshi men. Sex Transm Infect. 2007;83:211-215.
13. Martin SL, Kilgallen B, Tsui AO, et al. Sexual behaviors and reproductive health outcomes: associations with wife abuse in India. JAMA. 1999;282:1967-1972.
14. Stephenson R. Human immunodeficiency virus and domestic violence: the sleeping giants of Indian health? Indian J Med Sci. 2007;61:251-252.
15. Dunkle KL, Jewkes R. Effective HIV prevention requires gender-transformative work with men. Sex Transm Infect. 2007;83:173-174.
16. Raj A, Santana C, La Marche A, et al. Perpetration of partner violence associated with sexual risk behaviors among young adult men. Am J Public Health. 2006;96:1873-1878.
17. Chandrasekaran V, Krupp K, George R, et al. Determinants of domestic violence among women attending an human immunodeficiency virus voluntary counseling and testing center in Bangalore, India. Indian J Med Sci. 2007;61:253-262.
18. Decker MR, Silverman JG, Raj A. Dating violence and sexually transmitted disease/HIV testing and diagnosis among adolescent females. Pediatrics. 2005;116:e272-e276.
19. Dunkle KL, Jewkes RK, Brown HC, et al. Gender-based violence, relationship power, and risk of HIV infection in women attending antenatal clinics in South Africa. Lancet. 2004;363:1415-1421.
20. Wingood GM, DiClemente RJ, Raj A. Adverse consequences of intimate partner abuse among women in non-urban domestic violence shelters. Am J Prev Med. 2000;19:270-275.
21. Decker MR, Miller E, Kapur NA, et al. Intimate partner violence and sexually transmitted disease symptoms in a national sample of married Bangladeshi women. Int J Gynaecol Obstet. 2008;100:18-23.
22. Silverman JG, Decker MR, Saggurti N, et al. Intimate partner violence and HIV infection among married Indian women. JAMA. 2008;300:703-710.
23. WHO. Violence Against Women and HIV/AIDS: Critical Intersections-Intimate Partner Violence and HIV/AIDS. Geneva, Switzerland: WHO; 2004.
24. Dunkle KL, Jewkes RK, Nduna M, et al. Perpetration of partner violence and HIV risk behaviour among young men in the rural Eastern Cape, South Africa. AIDS. 2006;20:2107-2114.
25. Schensul SL, Mekki-Berrada A, Nastasi BK, et al. Men's extramarital sex, marital relationships and sexual risk in urban poor communities in India. J Urban Health. 2006;83:614-624.
26. Go VF, Sethulakshmi CJ, Bentley ME, et al. When HIV-prevention messages and gender norms clash: the impact of domestic violence on women's HIV risk in the slums of Chennai, India. AIDS Behav. 2003;7:263-272.
27. Sivaram S, Johnson S, Bentley ME, et al. Sexual health promotion in Chennai, India: key role of communication among social networks. Health Promot Int. 2005;20:327-333.
28. 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.
29. Slaughter L, Brown CR, Crowley S, et al. Patterns of genital injury in female sexual assault victims. Am J Obstet Gynecol. 1997;176:609-616.
30. WHO. Putting Women First: Ethical and Safety Recommendations for Research on Domestic Violence Against Women. Geneva, Switzerland: WHO, Department of Gender and Women's Health; 2001.
31. Straus MA, Hamby SL, Boney-McCoy S, et al. The revised Conflict Tactics Scales (CTS2). J Fam Issues. 1996;17:283-316.
32. WHO/UNAIDS. Guidelines for Measuring National HIV Prevalence in Population-Based Surveys. Geneva, Switzerland: WHO/UNAIDS; 2005.
33. Santana MC, Raj A, Decker MR, et al. Masculine gender roles associated with increased sexual risk and intimate partner violence perpetration among young adult men. J Urban Health. 2006;83:575-585.
34. Verma RK, Pulerwitz J, Mahendra V, et al. Challenging and changing gender attitudes among young men in Mumbai, India. Reprod Health Matters. 2006;14:135-143.
36. Jewkes R, Nduna M, Levin J, et al. Impact of stepping stones on incidence of HIV and HSV-2 and sexual behaviour in rural South Africa: cluster randomised controlled trial. BMJ. 2008;337:a506.
37. Chhabra S. Sexual violence among pregnant women in India. J Obstet Gynaecol Res. 2008;34:238-241.
38. Raj A, Reed E, Santana MC, et al. Intimate partner violence perpetration, risky sexual behavior and STI/HIV diagnosis among heterosexual African American men. Am J Mens Health. 2008;2:291-295.
39. Gaillard P, Melis R, Mwanyumba F, et al. Vulnerability of women in an African setting: lessons for mother-to-child HIV transmission prevention programmes. AIDS. 2002;16:937-939.
40. Temmerman M, Ndinya-Achola J, Ambani J, et al. The right not to know HIV-test results. Lancet. 1995;345:969-970.
41. Garg S, Singh MM, Nath A, et al. Prevalence and awareness about sexually transmitted infections among males in urban slums of Delhi. Indian J Med Sci. 2007;61:269-277.
42. Ray K, Bala M, Bhattacharya M, et al. Prevalence of RTI/STI agents and HIV infection in symptomatic and asymptomatic women attending peripheral health set-ups in Delhi, India. Epidemiol Infect. 2008;136:1432-1440.
43. Garcia-Moreno C, Jansen HA, Ellsberg M, et al. Prevalence of intimate partner violence: findings from the WHO multi-country study on women's health and domestic violence. Lancet. 2006;368:1260-1269.
This article has been cited 22 time(s).
Journal of the International AIDS SocietyThe importance of addressing gender inequality in efforts to end vertical transmission of HIVJournal of the International AIDS Society
Violence Against WomenLosing the "Gender" in Gender-Based Violence: The Missteps of Research on Dating and Intimate Partner ViolenceViolence Against Women
Clinical Infectious DiseasesDeveloping and Evaluating Comprehensive HIV Infection Control Strategies: Issues and ChallengesClinical Infectious Diseases
Sexually Transmitted InfectionsViolence victimisation, sexual risk and sexually transmitted infection symptoms among female sex workers in ThailandSexually Transmitted Infections
ScienceGender Inequities Must Be Addressed in HIV PreventionScience
Sexually Transmitted InfectionsIntimate partner violence perpetration, standard and gendered STI/HIV risk behaviour, and STI/HIV diagnosis among a clinic-based sample of menSexually Transmitted Infections
AIDS and BehaviorHIV Testing and Intimate Partner Violence Among Non-Pregnant Women in 15 US States/Territories: Findings from Behavioral Risk Factor Surveillance System Survey DataAIDS and Behavior
International Journal of Behavioral MedicineReducing Sexual Risk Behavior Among High-Risk Couples in Northern IndiaInternational Journal of Behavioral Medicine
Hiv MedicinePrevalence, clinical associations, and impact of intimate partner violence among HIV-infected gay and bisexual men: a population-based studyHiv Medicine
Bmc Public HealthRisk factors for intimate partner violence in women in the Rakai Community Cohort Study, Uganda, from 2000 to 2009Bmc Public Health
Bmc Public HealthIntimate partner violence is associated with HIV infection in women in Kenya: A cross-sectional analysisBmc Public Health
American Journal of Reproductive ImmunologySexual Violence and HIV Transmission: Summary Proceedings of a Scientific Research Planning MeetingAmerican Journal of Reproductive Immunology
American Journal of Reproductive ImmunologyGender-Based Violence and HIV: Reviewing the Evidence for Links and Causal Pathways in the General Population and High-risk GroupsAmerican Journal of Reproductive Immunology
American Journal of Reproductive ImmunologyHeterosexual Anal Intercourse: A Neglected Risk Factor for HIV?American Journal of Reproductive Immunology
American Journal of Reproductive ImmunologyEstimating the Impact of Reducing Violence Against Female Sex Workers on HIV Epidemics in Kenya and Ukraine: A Policy Modeling ExerciseAmerican Journal of Reproductive Immunology
AIDS and BehaviorFeasibility and Effectiveness of HIV Prevention Among Wives of Heavy Drinkers in Bangalore, IndiaAIDS and Behavior
LancetIntimate partner violence, relationship power inequity, and incidence of HIV infection in young women in South Africa: a cohort studyLancet
AIDS and BehaviorAlcohol Use, Mental Health, and HIV-related Risk Behaviors among Adult Men in KarnatakaAIDS and Behavior
LancetKey to prevent HIV in women: reduce gender-based violenceLancet
American Journal of Public HealthInfluence of Community Social Norms on Spousal Violence: A Population-Based Multilevel Study of Nigerian WomenAmerican Journal of Public Health
Plos OneHIV Testing and Tolerance to Gender Based Violence: A Cross-Sectional Study in ZambiaPlos One
Violence Against WomenA Public Health Approach to Intimate Partner Violence Prevention in Uganda: The SHARE ProjectViolence Against Women
HIV; India; partner violence; sexual risk
© 2009 Lippincott Williams & Wilkins, Inc.
Highlight selected keywords in the article text.