Sociodemographic and Health Profile of Heterosexual Men Living With HIV in Ontario, Canada
Bibliographic record
Abstract
In Ontario, Canada, the number of heterosexual men living with HIV has increased over time, yet they remain an understudied population. The study objective was to describe the sociodemographic and clinical characteristics of this population, using data from a multisite clinical cohort of patients receiving HIV care. Sociodemographic and clinical characteristics of men interviewed between 2010 and 2012 were compared according to their self-identified sexual orientation, followed by multivariable linear and logistic regression to assess the association of sexual orientation with CD4 cell count, viral load, hepatitis C co-infection, self-rated health, and mental health concerns after adjustment for covariates. A total of 552 men identified as heterosexual, 2,023 as gay, and 171 as bisexual. Compared to gay and bisexual men, heterosexual men were more likely to have been born outside of Canada (34.8%); more likely to report African, Caribbean, or Black ethnicity (26.4%) or Indigenous ethnicity (13.6%); and more likely to have low socioeconomic status (59.5% earning less than $20,000 per year), and/or a history of injection drug use (31.7%). Relative to gay men, heterosexual men had 5.19 times the odds of co-infection with hepatitis C virus regardless of injection drug use history (95% confidence interval = 3.87-6.96), and 40% lower odds of rating their health as excellent or good (95% confidence interval = 0.50-0.84). HIV-positive heterosexual men in Ontario constituted a socially marginalized group characterized by a high prevalence of injection drug use history and hepatitis C co-infection.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".