Religion versus ethnicity as predictors of unprotected vaginal intercourse among young adults
Bibliographic record
Abstract
BACKGROUND: Young adults in North America are at increasing risk for contracting HIV and sexually transmissible infections (STI). Racial differences in HIV or STI risk are well documented, but other cultural and demographic factors contributing to HIV or STI risk are poorly understood. Although religion may play an important role in sexual behaviour, little research has explored its association with sexual attitudes, beliefs and practices. The present study examined how ethnicity, religion, HIV knowledge and attitudes, and other demographic factors are associated with engaging in unprotected vaginal intercourse (UVI) in a diverse sample of unmarried young adults. METHODS: A cross-sectional study of 666 unmarried university students was conducted from 2005 to 2007, with participants completing an anonymous questionnaire on sexual attitudes and health for course credit. RESULTS: Approximately 50% of the respondents had engaged in any vaginal intercourse and 32.2% had engaged in UVI in the past 6 months. Multivariable analyses showed that increasing age, being in a relationship for more than 6 months, greater HIV knowledge, stronger attitudes supporting the use of condoms, and religion (but not ethnicity) were associated with engaging in UVI. Among the sexually active subset of the sample (n=332), religion was the only predictor of engaging in UVI. CONCLUSION: Ethnicity, which is often considered an important variable in sexual health research, does not appear to be associated with UVI when taking into account other demographic variables, particularly religion. Consideration of religion may be important in devising HIV prevention interventions, in order to implement them in accordance with particular religious beliefs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".