Factors associated with condom use and HIV testing among young men who have sex with men: a cross-sectional survey in a random online sample in Sweden
Bibliographic record
Abstract
Objectives The objectives are to analyse social determinants of sexual health behaviour (condom use and HIV testing) among young, internet-active, cis men who have sex with men (MSM) in a high-income country. The aspects of sexual health behaviour analysed here are condomless anal intercourse with one or more new or casual partner(s), condomless anal intercourse during the most recent sex with a man and HIV testing. Methods A randomised sample of men active on Sweden’s main online community for Lesbian, Gay, Bisexual and Trans people responded to an online survey (response rate 19%). A subsample of young people, aged 15–29, was analysed (effective sample 597–669) using multivariable logistic regression with respect to factors associated with condomless anal intercourse with one or more new or casual partner(s), condomless anal intercourse at most recent sex and not having had a test for HIV. Results Low education, being single and living in a metropolitan area were found to be independently associated with condomless anal intercourse with new or casual partner(s). Sex with a steady partner was associated with condomless anal intercourse during the most recent sex. Knowledge of where to get tested, high education, being born outside Sweden and condomless anal intercourse with new or casual sex partner(s) were independently associated with having been tested for HIV. Conclusions The factors associated with sexual health behaviour among young MSM are complex, and preventive messages need to be tailored accordingly.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".