Early Sex Work Initiation Independently Elevates Odds of HIV Infection and Police Arrest Among Adult Sex Workers in a Canadian Setting
Bibliographic record
Abstract
OBJECTIVES: To explore factors associated with early sex work initiation and model the independent effect of early initiation on HIV infection and prostitution arrests among adult sex workers (SWs). DESIGN: Baseline data (2010-2011) were drawn from a cohort of SWs who exchanged sex for money within the last month and were recruited through time location sampling in Vancouver, Canada. Analyses were restricted to adults ≥18 years old. METHODS: SWs completed a questionnaire and HIV/sexually transmitted infection testing. Using multivariate logistic regression, we identified associations with early sex work initiation (<18 years old) and constructed confounder models examining the independent effect of early initiation on HIV and prostitution arrests among adult SWs. RESULTS: Of 508 SWs, 193 (38.0%) reported early sex work initiation, with 78.53% primarily street-involved SWs and 21.46% off-street SWs. HIV prevalence was 11.22%, which was 19.69% among early initiates. Early initiates were more likely to be Canadian born [adjusted odds ratio (AOR): 6.8, 95% confidence interval (CI): 2.42 to 19.02], inject drugs (AOR: 1.6, 95% CI: 1.0 to 2.5), and to have worked for a manager (AOR: 2.22, 95% CI: 1.3 to 3.6) or been coerced into sex work (AOR: 2.3, 95% CI: 1.14 to 4.44). Early initiation retained an independent effect on increased risk of HIV infection (AOR: 2.5, 95% CI: 1.3 to 3.2) and prostitution arrests (AOR: 2.0, 95% CI: 1.3 to 3.2). CONCLUSIONS: Adolescent sex work initiation is concentrated among marginalized, drug, and street-involved SWs. Early initiation holds an independent increased effect on HIV infection and criminalization of adult SWs. Findings suggest the need for evidence-based approaches to reduce harm among adult and youth SWs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".