Correlates of Suicidality Among A Community-Based Cohort of Women Sex Workers: The Protective Effect of Social Cohesion
Bibliographic record
Abstract
Suicide is a critical public health concern globally. Sex workers experience a disproportionate burden of social and health inequities driven by forms of violence, stigma, and criminalization, yet empirical research on suicidality is limited. This study longitudinally investigated the burden and socio-structural correlates of recent suicidality among women sex workers in Vancouver, Canada. Data (2010-2017) were drawn from a community-based, prospective cohort of cis and trans women sex workers across Metro Vancouver. Women completed biannual interviewer-administered questionnaires, and correlates of suicidality in the last 6 months were analyzed using bivariate and multivariable logistic regression with generalized estimating equations (GEE). Of 867 women at baseline, 48% ( n = 413) reported lifetime suicidality, 16% (n = 141) reported suicidality in the last 6 months, and 29% reported suicidality at some point during the study. In multivariable analysis, factors independently associated with suicidality included physical/sexual childhood abuse (adjusted odds ratio [AOR]: 2.99; 95% confidence interval [CI] = [1.75, 5.10]), mental health issues (depression/anxiety/posttraumatic stress disorder; AOR = 2.19; 95% CI = [1.63, 2.95]), intimate partner violence (AOR: 2.11; 95% CI = [1.60, 2.80]), physical/sexual client violence (AOR: 1.82; 95% CI = [1.33, 2.50]), and homelessness (AOR: 1.44; 95% CI = [1.10, 1.89]). Older age (AOR: 0.97; 95% CI = [0.95, 0.99]) and higher social cohesion (AOR: 0.88; 95% CI = [0.78, 0.99]) were significantly associated with reduced odds of suicidality. Findings reveal key socio-structural correlates of suicidality among sex workers including experiences of historical and interpersonal violence, trauma/mental health issues, and homelessness. Strengthening social cohesion may have a protective effect on suicidality. Trauma-informed community-led structural interventions tailored to sex workers are urgently needed alongside a legal framework that enables collectivization and connectedness.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".