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Record W2086730622 · doi:10.7895/ijadr.v2i1.45

An update on alcohol use and risk of HIV infection in sub-Saharan Africa: Meta-analysis and future research directions

2013· article· en· W2086730622 on OpenAlexvenueno aff
Sarah E. Woolf‐King, Craig Steinmaus, Arthur Reingold, Judith A. Hahn

Bibliographic record

VenueThe International Journal of Alcohol and Drug Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsMeta-analysisOdds ratioHuman immunodeficiency virus (HIV)DemographyAlcohol consumptionMedicineAlcoholOddsPsychologyLogistic regressionBiologyInternal medicineVirologySociology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.079
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0150.023
Bibliometrics0.0160.012
Science and technology studies0.0010.001
Scholarly communication0.0060.006
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.329
GPT teacher head0.518
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
DomainMethods
GenreEmpirical

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".

Quick stats

Citations40
Published2013
Admission routes1
Has abstractyes

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