Event-based analysis of the association between alcohol use and unsafe sex in seven sub-Saharan African countries
Bibliographic record
Abstract
Aims: To examine the association between alcohol consumption at last sex and unsafe sex in seven countries in sub-Saharan Africa.Design: Multivariable logistic regression of unsafe sex was performed using cross-sectional data with a stratified sample design from seven countries.Setting: The study uses data from the Demographic and Health Surveys of Lesotho, Kenya, Mozambique, Swaziland, Uganda, Zambia, and Zimbabwe.Participants: Men and women age 15–49 years with data available on alcohol consumption and who have had sex in the last 12 months were included in the analysis.Measures: The main independent variable is alcohol consumption at last sex with a non-cohabiting partner.Findings: The analysis has shown that alcohol consumption was a strong predictor of unsafe sex for all surveys except for women in Kenya. Age and number of sexual partners were also strong predictors of unsafe sex.Conclusions: The findings indicate that there is a positive link between alcohol consumption and unsafe sex in all countries except for Kenya among women. The inconsistent finding in Kenya requires further study. One of the main limitations of the analysis is the low number of observations found for women and men who reported drinking at last sex with a non-cohabiting partner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".