Mental health, physical impairment and violence among FSWS in North Karnataka, South India: a story of intersecting vulnerabilities
Bibliographic record
Abstract
Aims This study examines the prevalence and associations between recent violence experience, mental health and physical health impairment among Female Sex Workers (FSWs) in north Karnataka, India. Background Multi-morbidity, in particular the overlap between physical and mental health problems, is an important global health challenge to address. FSWs experience high levels of gender-based violence, which increases the risk of poor mental health, however there is limited information on the prevalence of physical health impairments and how this interacts with mental health and violence. Method We conducted secondary analysis of cross-sectional quantitative survey data collected in 2016 as part of a cluster-RCT with FSWs called Samvedana Plus. Bivariate and multivariate analyses were used to examine associations between physical impairment, recent (past 6 months) physical or sexual violence from any perpetrator, and mental health problems measured by PHQ-2 (depression), GAD-2 (anxiety), any common mental health problem (depression or anxiety), self-harm ever and suicidal ideation ever. Result 511 FSWs participated. One fifth had symptoms of depression (21.5%) or anxiety (22.1%), one third (34.1%) reported symptoms of either, 4.5% had ever self-harmed and 5.5% reported suicidal ideation ever. Over half (58.1%) reported recent violence. A quarter (27.6%) reported one or more chronic physical impairments. Mental health problems such as depression were higher among those who reported recent violence (29%) compared to those who reported no recent violence (11%). There was a step-wise increase in the proportion of women with mental health problems as the number of physical impairments increased (e.g. depression 18.1% no impairment; 30.2% one impairment; 31.4% ≥ two impairments). In adjusted analyses, mental health problems were significantly more likely among women who reported recent violence (e.g. depression and violence AOR 2.42 (1.24–4.72) with rates highest among women reporting recent violence and one or more physical impairments (AOR 5.23 (2.49–10.97). Conclusion Our study suggests multi-morbidity of mental and physical health problems is a concern amongst FSWs and is associated with recent violence experience. Programmes working with FSWs need to be mindful of these intersecting vulnerabilities, inclusive of women with physical health impairments and include treatment for mental health problems as part of core-programming. Samvedana Plus was funded by UKaid through Department for International Development as part of STRIVE (structural drivers of HIV) led by London School of Hygiene and Tropical Medicine and the What Works to Prevent Violence Against Women and Girls Global Programme led by South African Medical Research Council
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".