Prevalence and Correlates of Forced Sex as a Self-Reported Mode of HIV Acquisition Among a Cohort of Women Living With HIV in Canada
Bibliographic record
Abstract
Gender-based violence (GBV) is a global epidemic associated with increased HIV exposure. We assessed the prevalence and correlates of HIV acquisition via forced sex among women living with HIV (WLWH) in Canada. Baseline questionnaire data were analyzed for WLWH (≥16 years) with data on self-reported mode of HIV acquisition, enrolled in a community-based cohort study in British Columbia, Ontario, and Québec. We assessed forced sex (childhood, adulthood) as a self-reported mode of HIV acquisition. Of 1,330 participants, the median age was 42 (interquartile range [IQR] = 35-50) years; 23.5% were Indigenous, 26.3% African/Caribbean/Black, 43% White, and 7.2% of Other ethnicities. Forced sex was the third dominant mode of HIV transmission at 16.5% (n = 219; vs. 51.6% consensual sex, 19.7% sharing needles, 5.3% blood transfusion, 3.8% perinatal, 1.3% contaminated needles, 0.4% other, 1.6% do not know/prefer not to answer). In multivariable analyses, significant correlates of HIV acquisition from forced versus consensual sex included legal status as a landed immigrant (adjusted odds ratio [aOR] = 1.99; 95% confidence interval [CI] = [1.12, 3.54]) or refugee (aOR = 3.62; 95% CI = [1.63, 8.04]) versus Canadian citizen; African/Caribbean/Black ethnicity versus Caucasian (aOR = 2.49; 95% CI = [1.43, 4.35]), posttraumatic stress disorder symptoms (aOR = 3.00; 95% CI = [1.68, 5.38]), histories of group home residence (aOR = 2.40; 95% CI = [1.10, 5.23]), foster care (aOR = 2.18; 95% CI = [1.10, 4.34]), and having one child relative to having three or more children (aOR = 0.52; 95% CI = [0.31, 0.89]). GBV must be considered a distinct HIV risk factor; forced sex is a significant underrecognized risk factor and mode of women's HIV acquistion. Public health reporting systems can separate consensual and forced sex in reporting modes of HIV acquisition. Practitioners can engage in screening practices to meet client needs.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".