Sex work and HIV incidence among people who inject drugs
Bibliographic record
Abstract
OBJECTIVE: Although the global burden of HIV infection among sex workers (SW) has been well recognized, HIV-related risks among sex workers who inject drugs (SW-IDU) have received less attention. We investigated the relationship between sex work and HIV incidence among people who inject drugs (IDU) in a Canadian setting. DESIGN: Prospective cohort study. METHODS: Using Kaplan-Meier methods and the extended Cox regression, we compared HIV incidence among SW-IDU and non-SW-IDU in Vancouver, Canada, after adjusting for potential confounders. RESULTS: Between 1996 and 2012, 1647 participants were included in the study, including 512 (31.1%) IDU engaged in sex work. At 5 years the HIV cumulative incidence was higher among SW-IDU in comparison to other IDU (12 vs. 7%, P = 0.001). In unadjusted Cox regression analyses, HIV incidence among SW-IDU was also elevated [relative hazard: 1.69; 95% confidence interval (CI): 1.13-2.53]. However, in a multivariable analysis, sex work did not remain associated with HIV infection (adjusted relative hazard: 0.74; 95% CI: 0.45-1.20), with cocaine injection appearing to account for the elevated risk for HIV infection among SW-IDU. CONCLUSION: These data suggest that local SW-IDU have elevated rates of HIV infection. However, our exploration of risk factors among SW-IDU demonstrated that drug use patterns and environmental factors, rather than sexual risks, may explain the elevated HIV incidence among SW-IDU locally. Our findings highlight the need for social and structural interventions, including increased access to harm reduction programs and addiction treatment.
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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 | 0.000 | 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 | 0.000 |
| 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 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".