Being drunk and high during sex is not associated with condom use behaviours: a study of high-risk young Black males
Bibliographic record
Abstract
UNLABELLED: Objective To assess the relationship between the frequency of being drunk and high during sex, and condom use errors and problems (CUEP) among a sample of high-risk young Black males recruited from the United States. METHODS: Data were collected in clinics treating sexually transmissible infections in three cities in the southern United States. Males 15-23 years of age (n=697) who identified as African-American and reported recent (past 2 months) condom use were eligible. Measures of alcohol and drug use, as well as condom use behaviours were assessed by audio-computer assisted self-interview. Eighteen CUEP were included in this assessment. RESULTS: Sixteen bivariate correlations were obtained. The magnitude of the coefficients was small, ranging from 0.01 to 0.13. Only three were significant. These were positive associations between the frequency of being drunk and the frequency of unprotected vaginal sex, as well as the frequency of the 18-item measure of CUEP. A significant correlation was also found between the frequency of being high during sex and the frequency of unprotected vaginal sex. Adjustments for age did not change the findings. CONCLUSIONS: Interventions designed to promote safer sex behaviours among young Black males attending sexually transmissible infection clinics are no more likely to benefit patients through the inclusion of messages and training attempting to dissuade the use of alcohol and drugs before or during sex.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".