Childhood Exposure to Religions With High Prevalence of Members Who Discourage Homosexuality Is Associated With Adult HIV Risk Behaviors and HIV Infection in Black Men Who Have Sex With Men
Bibliographic record
Abstract
Exposure to childhood religious affiliations where the majority of members discourage homosexuality may have negative psychological impacts for Black men who have sex with men. This study tested the hypothesis that exposures to these environments during childhood were associated with adulthood human immunodeficiency virus (HIV)/sexually transmitted infection (STI) behavioral risk and HIV infection, because these exposures influenced HIV/STI risk by undermining race/sexual identity congruence and increasing internalized homophobia and interpersonal anxiety. Structural equation modeling as well as logistic and Poisson regressions were performed using baseline data from HIV Prevention Trials Network 061 ( N = 1,553). Childhood religion affiliations that were more discouraging of homosexuality were associated with increased likelihood of HIV infection; however, the association was no longer significant after adjusting for age, income, and education. Having a childhood religion affiliation with high prevalence of beliefs discouraging homosexuality was associated with increased numbers of sexual partners (adjusted odds ratio = 4.31; 95% confidence interval [3.76, 4.94], p < .01). The hypothesized path model was largely supported and accounted for 37% of the variance in HIV infection; however, interpersonal anxiety was not associated with HIV/STI risk behaviors. Structural interventions are needed that focus on developing affirming theologies in religious institutions with Black men who have sex with men congregants.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".