Sex trade involvement and rates of human immunodeficiency virus positivity among young gay and bisexual men
Bibliographic record
Abstract
BACKGROUND: Susceptibility to human immunodeficiency virus (HIV) infection is of particular concern for marginalized populations. The objective of this study was to determine risk factors associated with sex trade work among young gay and bisexual men. Further, we aimed to compare HIV prevalence and incidence among men involved and not involved in sex trade work. METHODS: The study is based upon data obtained from a prospective cohort study of young gay and bisexual men. Participants had completed a baseline questionnaire which elicited information on demographic information, sexual behaviours, and substance use. Sex trade involvement was defined as the exchange of money, drugs, goods, clothing, shelter or protection for sex within the one year prior to enrollment. Contingency table and multivariate logistic regression analyses were used to identify risk factors associated with involvement in the sex trade. RESULTS: Of the 761 eligible participants, 126 (16%) reported involvement in sex trade work. Multivariate logistic regression analysis revealed regular alcohol use (Odds Ratio [OR] = 3.6, 95% CI : 1.8-7.2), aboriginal ethnicity (OR = 3.7, 95% CI : 1.6-8.7), unemployment (OR = 3.9, 95% CI : 2.1-7.3), history of residence in a psychiatric ward (OR = 4.2, 95% CI : 1.8-9.8), bisexual activity (OR = 7.0, 95% CI : 3.5-14.1) and the use of crack (OR = 7.4, 95% CI : 3.0-18.7) to be independently associated with sex trade work. Sex trade workers had a significantly higher HIV prevalence at baseline compared with non-sex trade workers (7.3% versus 1.1%, P < 0.001). As well, HIV incidence was found to be significantly higher for sex trade workers compared with non-sex trade workers (4.7% versus 0.9%, P = 0.011). CONCLUSION: Our study reveals that for male sex trade workers in this setting increased vulnerability to HIV infection is related to unfavourable living conditions, substance use and sexual risk behaviour.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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".