Social Anxiety and HIV Transmission Risk among HIV-Seropositive Male Patients
Bibliographic record
Abstract
The role of psychological factors in predicting HIV sexual transmission risk behavior is increasingly of interest in prevention research. Social anxiety, or anxiety about being evaluated in interpersonal situations, is associated with unprotected insertive anal intercourse among young men who have sex with men (MSM) and with other behavioral risk factors for unprotected intercourse, such as depression, smoking, alcohol use, and drug use. Social anxiety may be especially relevant in understanding HIV risk among HIV-seropositive men, given its stronger association with unprotected insertive than with receptive anal intercourse. In the present study, for which participants were recruited between October 2002 and May 2003, HIV-positive men attending regularly scheduled primary care medical appointments at a community HIV clinic were approached by research personnel and informed about the study topic and procedures. Ninety percent of patients approached agreed to participate, resulting in a sample of 206 patients. The sample was primarily African American, unemployed, of low educational level, and 95% of the sample had an AIDS diagnosis. The present study replicated and extended previous research from community samples by demonstrating an association between social anxiety and unprotected insertive anal intercourse with non-HIV-positive partners in a clinical sample of HIV-positive MSM and men who have sex with women (MSW). This association was maintained controlling for depression, smoking, and club drug use. Social anxiety is a relatively robust risk factor for unprotected insertive anal intercourse among MSM. Future work should examine the mechanisms by which social anxiety is associated with sexual risk among MSM.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".