The association between off- and on-premise alcohol outlet density and 100% alcohol-attributable emergency department visits by neighbourhood-level socioeconomic status in Ontario, Canada
Bibliographic record
Abstract
Alcohol availability is positively associated with alcohol use and harms, but the influence of socioeconomic status (SES) on these associations is not well established. This population-based cross-sectional study examined neighbourhood-level associations between physical alcohol availability (measured as off- and on-premise alcohol outlet density) and 100% alcohol-attributable emergency department (ED) visits by neighbourhood SES in Ontario, Canada from 2017 to 2019 (n = 19,740). A Bayesian spatial modelling approach was used to assess associations and account for spatial autocorrelation, which produced risk ratios (RRs) and 95% credible intervals (95% CrI). Each additional off-premise alcohol outlet in a neighbourhood was associated with a 3% increased risk of alcohol-attributable ED visits in both men (RR = 1.03, 95%CrI: 1.02–1.04) and women (RR = 1.03, 95% CrI: 1.02–1.04). Positive associations were also observed between on-premise alcohol outlet density and alcohol-attributable ED visits, although effect sizes were small. A disproportionately greater association with ED visits was observed with increasing alcohol outlet density in the lowest compared to higher SES neighbourhoods. Reducing physical alcohol availability may be an important policy lever for reducing alcohol harm and alcohol-attributable health inequities. • Little is known about the impact of alcohol availability on alcohol harm by SES. • Alcohol outlet density was associated with higher alcohol-attributable ED visits. • Low vs. high SES areas had higher outlet density and ED visits. • Alcohol outlet density had larger impact on ED visits in low vs. high SES areas. • Restricting physical alcohol availability may reduce alcohol harm inequities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".