Social–ecological factors associated with HIV infection among men who have sex with men in Jamaica
Bibliographic record
Abstract
In Jamaica, where homosexuality is criminalized, scant research has examined associations between sexual stigma and HIV infection. The study objective was to examine correlates of HIV infection among men who have sex with men (MSM) in Jamaica. We conducted a cross-sectional tablet-based survey with MSM in Jamaica using chain referral sampling. We assessed socio-demographic, individual, social, and structural factors associated with HIV infection. A logit-link model, fit using backwards-stepwise regression, was used to estimate a final multivariable model. Among 498 participants (median age: 24, interquartile range: 22-28), 67 (13.5%) were HIV-positive. In the multivariable model, HIV infection was associated with increased odds of socio-demographic (older age, odds ratio [OR]: 1.05, 95% confidence interval [CI]: 1.00-1.10]; residing in Kingston versus Ocho Rios [OR: 6.99, 95% CI 2.54-19.26]), individual (poor/fair versus excellent/good self-rated health [OR: 4.55, 95% CI: 1.81-11.42], sexually transmitted infection [STI] history [OR: 3.67, 95% CI: 1.61-8.38]), and structural (enacted sexual stigma [OR: 1.08, 95% CI: 1.01-1.15], having a health care provider [OR: 2.23, 95% CI: 1.06-4.66]) factors. This is among the first studies to demonstrate associations between sexual stigma and HIV infection in Jamaica. Findings underscore the need to integrate STI testing in the HIV care continuum and to address stigma and regional differences among MSM in Jamaica.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".