Associations between psychosocial factors and antiretroviral therapy outcomes differ by gender and sexual orientation among people living with HIV in British Columbia, Canada
Bibliographic record
Abstract
Little is known about how the co-occurrence of psychosocial factors affect sub-populations of people living with HIV (PLWH). We used cross-sectional data from 999 PLWH, aged ≥19, accessing antiretroviral therapy (ART) in British Columbia, Canada (2007-2010) to examine associations between psychosocial factors and ART-related outcomes separately for trans/cis inclusive women; heterosexual men; and gay, bisexual, and other men who have sex with men (gbMSM). Multivariable logistic regression examined associations between psychosocial factors (0-3): any violence in the past 6 months, depressive symptoms in the past week, and current street drug use (heroin, crack, meth or speedball) with sub-optimal adherence (outcome 1: average annual ART adherence <95% from interview until end of follow-up, death, or December 31st, 2018) and ever viral rebound (outcome 2) adjusting for potential confounders. Of 999 PLWH (264 women, 382 heterosexual men, and 353 gbMSM), women and heterosexual men had significantly higher median counts than gbMSM. Overall, higher counts were associated with sub-optimal adherence (adjusted odds ratio [aOR] = 1.26/1-unit increase, 95%CI = 1.07-1.49). All effect estimates were of a greater magnitude among gbMSM, but not significant for women or heterosexual men, highlighting the need for population (e.g., gender and sexual orientation)-centered care and research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 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".