Does geographic availability of alcohol influence drinking in adolescents? A systematic review of literature associations
Bibliographic record
Abstract
The role of alcohol geographic availability in influencing adolescent drinking has been debated. However, clear literature consensus has not been reached. To provide a systematic review of the associations between geographic availability of alcohol outlets measured through different methodologies and drinking outcomes in adolescents. We conducted a systematic search (PubMed/SCOPUS/Web of Science) for articles exploring associations between alcohol availability and adolescent drinking before 2023. Original articles written in English that evaluated adolescent populations (10–19 years old), included at least one quantitative alcohol consumption outcome and its relationship with geographic availability of alcohol, and declared no conflicts of interest were selected for the review. A quality assessment of the selected articles was made using the Newcastle-Ottawa Scale and descriptive analyses were carried out to summarize results. Thirty-one articles were reviewed (19 cross-sectional and 12 longitudinal studies), which included a total of 507336 participants. Alcohol availability was positively related to drinking prevalence and risky patterns in 53.3% and 60.5% of associations, respectively. Individual-level covariates, the type of alcohol outlets measured and the different methodological approaches to measure outlet density were related to differences in the direction and magnitude of these associations. Just over half of the studies in this review demonstrate a positive association between alcohol availability and adolescent alcohol consumption with no negative associations reported. The review highlights the mix of methodological approaches that are used, which made it difficult to conduct joint analyses. Additional research is needed to explore the appropriateness, effectiveness and reliability of these methods within various contexts. • Alcohol outlets are ubiquitous, and concernedly available to youths. • Consensus on the impact of alcohol availability on youth drinking has been debated. • Over half of studies showed positive associations between alcohol availability and youth drinking. • Direction and magnitude of associations varied according to the methods used. • Further research should assess the appropriateness of diverse alcohol availability calculations for different study contexts.
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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 | 0.012 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".