Use of Gay Chatlines and Online Dating Platforms as Potential Mediators or Moderators in the Relationship Between Loneliness, Self-Rated Attractiveness and Human Immunodeficiency Virus Acquisition Risk Among Gay, Bisexual, and Other Men Who Have Sex With Men in Vancouver, Canada
Bibliographic record
Abstract
BACKGROUND: Gay, bisexual, and other men who have sex with men (gbMSM) remain disproportionately affected by human immunodeficiency virus (HIV). Interaction between psychosocial factors likely plays a role in HIV acquisition risk. We aimed to analyze the association of loneliness and self-rated attractiveness with HIV acquisition risk, and determine whether these associations were mediated by gay telephone chatlines or online dating platforms. METHODS: This cross-sectional study included HIV-negative gbMSM 16 years or older enrolled into the Momentum Health Study from February 2012 to February 2015. Loneliness, self-rated attractiveness (exposures) and use of gay chatlines or online dating platforms (mediators) were assessed through self-interviews. Human immunodeficiency virus acquisition risk (outcome) was assessed by the HIV Incidence Risk Index. Weighted logistic regression modeled the association and moderation effect between exposures and outcome. Mediation models estimated 3-way direct effect among exposures, mediators, and outcome. RESULTS: Of 542 gbMSM, those who were lonely (adjusted odds ratio [aOR], 1.54; 95% confidence intervals [CI], 1.04-2.28) and attractive (aOR, 1.69; 95% CI, 1.04-2.76) had increased odds for HIV acquisition risk. Our moderation analysis demonstrated a heightened joint effect among lonely and attractive participants (aOR, 1.70; 95% CI, 1.08-2.65). Use of gay telephone chatlines or online dating platforms mediated 30.5% of the association between loneliness and HIV acquisition risk, but did not mediate attractiveness and HIV acquisition risk. CONCLUSIONS: Our findings suggest that the provision of interventions focusing on mental health support and safer sex practices through gay telephone chatlines or online dating platforms is promising to help alleviate the HIV burden among gbMSM.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".