Associations between sexual stigma, enacted HIV stigma, internalized HIV stigma and homonegativity, and depression: testing an extended minority stress model among men who have sex with men living with HIV in India.

Limited data is available on the associations between intersectional stigmas and mental health outcomes among men who have sex with men living with HIV (MSMLH) in India. The minority stress model postulates that sexual stigma contributes to depression through proximal stressors like internalized homonegativity (IHN). Using cross-sectional survey data from 119 MSMLH in 2015/16, we tested whether: (1) sexual stigma and enacted HIV stigma (EHS) are associated with depression; (2) their effects on depression are mediated through IHN and internalized HIV stigma (IHS); and (3) their effects on IHN are mediated through IHS. Significant direct associations were observed between scores on sexual stigma and IHS (ß = .49, 95% CI .27, .70), EHS and IHN (ß = .19, 95% CI .03, .36), and IHS and IHN (ß = .07, 95% CI .03, .12). IHS scores mediated the associations of sexual stigma with depression (ß = .17, 95% CI .07, .27) and IHN scores (ß = .04, 95% CI .004, .07). EHS was not found to be significantly associated with depression or IHN. The findings partially support the minority stress model among MSMLH and highlight the importance of addressing both sexual and HIV-related stigmas to improve mental health of MSMLH, especially by screening for and reducing IHS, IHN and depression.

Reducing sexual risk and promoting acceptance of men who have sex with men living with HIV in India: Outcomes and process evaluation of a pilot randomised multi-level intervention.

HIV-positive men who have sex with men (HIV+MSM) in India need culturally-relevant interventions to promote safer sex. We tested a multi-level intervention among HIV+MSM that targeted individual, interpersonal, and community factors, based on the Social-Personal and Social Ecological Models. We conducted a 2 × 2 factorial RCT with 119 HIV+MSM randomised to receive either an individual-level intervention (ILI) using motivational interviewing to promote safer sex, a community-level intervention (CLI) to strengthen community norms toward safer sex and reduce stigma among MSM communities, a multi-level intervention combining the individual- and community-level interventions (ILI + CLI), or standard-of-care control. Participants completed pre- and post-intervention assessments of a composite sexual risk score and a process evaluation to assess fidelity and satisfaction. Out of the 119 HIV+MSM, 106 (89.0%) completed pre- and post-intervention assessments. Generalised Estimating Equation models showed that both CLI (Incidence Rate Ratio [IRR] = .67, 95% CI .47 to .96) and ILI + CLI (IRR = .66, 95% CI .48 to .91) groups had a statistically significant decrease in sexual risk compared to the standard-of-care. The interventions had high levels of fidelity and satisfaction. This pilot RCT demonstrated feasibility and potential effectiveness of a multi-level intervention that addresses individual, interpersonal and community-level contributors of sexual risk among HIV+MSM.

The syndemic of violence victimisation, drug use, frequent alcohol use, and HIV transmission risk behaviour among men who have sex with men: Cross-sectional, population-based study in India.

The theory of syndemics has been used to explain elevated HIV risk facing men who have sex with men (MSM). However, few studies have employed suitable analytical methods to test this theory. Using data from a probability-based sample of MSM in India, we tested three proposed models linking the co-occurring epidemics of violence victimisation, drug use, and frequent alcohol use to HIV risk: 1) the syndemic model of synergistically interacting epidemics; 2) the "chains of risk" model; and 3) the model of mutually causal epidemics. The primary outcome was inconsistent condom use with male or hijra (transgender women) partners in the past month. For the syndemic model, we included product terms between the exposures and assessed for interaction on the additive (linear probability regression) and multiplicative (logistic regression) scales. Path analysis was used to test the models of serially causal epidemics and mutually causal epidemics. Among 22,297 HIV-negative MSM, violence victimisation (24.7%), frequent alcohol use (27.5%), and drug use (10.9%) frequently co-occurred. We found evidence for a three-way interaction between violence victimisation, drug use and frequent alcohol use on both the multiplicative (semi-elasticity = 0.28; 95% CI 0.10, 0.47) and additive (b = 0.14; 95% CI 0.01, .27) scales. We also estimated statistically significant two-way interactions between violence victimisation and frequent alcohol use on the multiplicative (semi-elasticity = .10; 95% CI 0.008, 0.20) and additive (b = 0.05, 95% CI 0.002, 0.107) scales, and between drug use and frequent alcohol use on the multiplicative (semi-elasticity = 0.13, 95% CI 0.02, 0.24) and additive (b = 0.06, 95% CI 0.007, 0.129) scales. Thus, we found strong evidence for the syndemic model. The models of serially causal and mutually causal epidemics were partially supported. These findings highlight the need to sharpen how syndemic models are specified so that their empirical predictions can be adequately tested and distinguished from other theories of disease distribution.

Social capital as a mediator of the influence of socioeconomic position on health: Findings from a population-based cross-sectional study in Chandigarh, India.

BACKGROUND: Social capital has been recognized as part of the WHO's Social Determinants of Health model given that social connections and relationships may serve as resources of information and tangible support. While the association between socioeconomic position and health is relatively well established, scant empirical research has been conducted in developing countries on the association between social capital and health. OBJECTIVE: Based on the WHO's Social Determinants of Health framework, we tested whether social capital mediates the effect of socioeconomic position on mental and physical health. METHODS: A population-based study was conducted among a representative sample (n = 1563) of men and women in Chandigarh, India. We used standardized scales for measuring social capital (mediator variable) and self-rated mental and physical health (outcome variable). RESULTS: A socioeconomic position index (independent variable) was computed from education, occupation, and caste categories. Mediation model was tested using path analysis in IBM SPSS-Amos. Participants' mean age was 40.1 years. About half of the participants were women (49.3%), and most were relatively well educated. The results showed that socioeconomic position was a significant predictor of physical and mental health. Social capital was a significant mediator of the effect of socioeconomic position on mental health but not physical health. CONCLUSION: Besides removing socioeconomic barriers through poverty alleviation programs, interventions to improve social capital, especially in economically disadvantaged communities, may help in improving population health.

Understanding How Sexual and Gender Minority Stigmas Influence Depression Among Trans Women and Men Who Have Sex with Men in India.

PURPOSE: Few studies have assessed how sexual and gender minority stigmas affect the mental health of trans women and self-identified men who have sex with men (MSM) in India, populations with a high HIV burden. We tested whether social support and resilient coping act as mediators of the effect of sexual and gender minority stigmas on depression as proposed by Hatzenbuehler's psychological mediation framework, or as moderators based on Meyer's minority stress theory. METHODS: We conducted a cross-sectional survey among trans women (n = 300) and MSM (n = 300) recruited from urban and rural sites in India. Standardized scales were used to measure depression (outcome variable), transgender identity stigma/MSM stigma (predictor variables), and social support and resilient coping (tested as moderators and parallel mediators). The mediation and moderation models were tested separately for trans women and MSM, using Hayes' PROCESS macro in SPSS. RESULTS: Participants' mean age was 29.7 years (standard deviation 8.1). Transgender identity stigma and MSM stigma were significant predictors (significant total and direct effects) of depression, as were social support and resilient coping. Among trans women and MSM, social support and resilient coping mediated (i.e., significant specific indirect effects), but did not moderate, the effect of stigma on depression, supporting the psychological mediation framework. CONCLUSION: Sexual and gender minority stigmas are associated with depression, with social support and resilient coping as mediators. In addition to stigma reduction interventions at the societal level, future interventions should focus on improving social support and promoting resilience among trans women and MSM in India.