An update on alcohol use and risk of HIV infection in sub-Saharan Africa: Meta-analysis and future research directions
Bibliographic record
Abstract
Woolf-King, S., Steinmaus, C. M., Reingold, A. L. & Hahn, J. A. (2013). An update on alcohol use and risk of HIV infection in sub-Saharan Africa: Meta-analysis and future research directions. International Journal of Alcohol and Drug Research, 2(1), 99-110. doi: 10.7895/ijadr.v2i1.45 (http://dx.doi.org/10.7895/ijadr.v2i1.45)Aims: Sub-Saharan Africa is disproportionately affected by HIV/AIDS, and growing evidence suggests that alcohol consumption is a co-occurring problem in the region. We conducted a meta-analysis on studies of alcohol use and HIV infection in sub-Saharan Africa in order to assess associations, evaluate heterogeneity in the literature, identify susceptible subgroups, and suggest avenues for future research.Design: We performed a systematic review, including published review articles and electronic database searches, and identified 35 studies on alcohol use and HIV.Setting and participants: All of the studies included in the meta-analysis occurred with adults in sub-Saharan Africa.Measurements: Pooled odds ratio (OR) estimates were calculated using both the fixed inverse variance weighting method and the random effects method when evidence of heterogeneity was present.Findings: The pooled OR estimate for all studies was 1.61 (95% CI: 1.44–1.80). The association between alcohol use and prevalence or incident HIV infection was particularly large among samples who reported problem drinking (OR = 2.17, 95% CI: 1.64–2.87) and drinking in sexual contexts (OR = 1.79, 95% CI: 1.55–2.06). Some evidence of publication bias was present; however, the OR remained statistically significant in small and large studies and with population-based and high-risk samples.Conclusions: These results suggest that alcohol consumption, particularly at high levels and in sexual contexts, is associated with an increased risk of HIV infection. An increased focus on methods that allow for more sensitive tests of the event-level association between alcohol consumption and risk of HIV infection may provide a better understanding of the causal mechanisms underlying this relationship.
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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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".