Understanding How Sexual and Gender Minority Stigmas Influence Depression Among Trans Women and Men Who Have Sex with Men in India
Why this work is in the frame
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it