Prevalence, clinical associations, and impact of intimate partner violence among <scp>HIV</scp>‐infected gay and bisexual men: a population‐based study
Bibliographic record
Abstract
OBJECTIVES: Intimate partner violence (IPV) is a risk factor for HIV infection. Little is known, however, about the prevalence, clinical associations, and impact of IPV among patients living with HIV. METHODS: HIV-infected gay and bisexual men in Southern Alberta, Canada were screened for IPV between May 2009 and December 2011. The associations with IPV of sociodemographic factors, psychological factors, clinical status, and HIV-related and HIV-unrelated hospitalizations, data for which were obtained from a regional database, were evaluated using Poisson regression. RESULTS: Of 687 gay and bisexual patients, 22.4% had experienced one or several types of IPV. Patients disclosing IPV were more likely to be Aboriginal [adjusted prevalence ratio (APR) = 2.48; 95% confidence interval (CI) 1.18-5.20], to be younger (APR/year = 0.97; 95% CI 0.95-0.99), to be victims of childhood abuse (APR = 4.27; 95% CI 2.84-6.41), to be smokers (APR = 2.53; 95% CI 1.59-4.00), to have had depression prior to HIV diagnosis (APR = 1.87; 95% CI 1.10-3.16), to use ongoing psychiatric resources (APR = 3.53; 95% CI 2.05-6.10), to have recently participated in unprotected sex (APR = 2.29; 95% CI 1.10-4.77), and to have poor or fair vs. very good or excellent health-related quality of life (APR = 2.91; 95% CI 1.57-5.39). IPV was also associated with a higher rate of clinically relevant interruptions in care (APR = 1.95; 95% CI 1.23-3.08), a higher incidence of AIDS among patients presenting early to care (CD4 count ≥ 200 cells/μL; APR = 2.06; 95% CI 1.15-3.69), and an increased rate of HIV-related hospitalizations [relative risk (RR) = 1.55; 95% CI 0.99-2.33], especially after HIV diagnosis was established (RR = 2.46; 95% CI 1.51-3.99). CONCLUSIONS: The prevalence of IPV is high among HIV-infected gay and bisexual men and is associated with poor social, psychiatric, and medical outcomes. IPV is an under-recognized social determinant of health in this community that may be amenable to meaningful clinical interventions.
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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 | 0.001 | 0.000 |
| 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".