Sex work, gender transition, family rejection and depressive symptoms among transgender women in India
Bibliographic record
Abstract
Background: Transgender women in India face unique stressors associated with minority experiences, such as experiences of gender transition and participation in sex work. However, the relationship between sex work, transition and mental health outcomes is understudied in this population.Aims: This article aims to examine the association between gender transition status, sex work, family rejection and depressive symptoms among transgender women in India.Methods: Data comes from a cross-sectional epidemiological study with transgender women from three states of India; Karnataka, Maharashtra and Tamil Nadu (N = 1366). Multivariate regressions were used to examine the association between sex work status and gender transition and how gender transition, and sex work are associated with depressive symptoms.Results: 70% of the sample reported being in sex work and over 82% endorsed taking some form of gender transition service. Those who reported being in sex work were significantly more likely to have undergone breast augmentation, hormonal therapy and gender affirming surgery. Those who reported ever being married were less likely to report gender affirming surgery and were more likely to report hormonal therapy. Additionally, being in sex work, undergoing transition, leaving home because of sexual orientation, and being married were significantly associated with depressive symptoms.Discussion: Community-led organizations and other service agencies must incorporate intersectional experiences and identities, including sex work and gender transition, in their programs to further social and health justice for transgender women in India. Policy and programmatic implications are discussed.Supplemental data for this article is available online at https://doi.org/10.1080/26895269.2021.1939220
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".