A population-based study of premature mortality in relation to neighbourhood density of alcohol sales and cheque cashing outlets in Toronto, Canada
Bibliographic record
Abstract
OBJECTIVE: Alcohol overuse and poverty, each associated with premature death, often exist within disadvantaged neighbourhoods. Cheque cashing places (CCPs) may be opportunistically placed in disadvantaged neighbourhoods, where customers abound. We explored whether neighbourhood density of CCPs and alcohol outlets are each related to premature mortality among adults. DESIGN: Retrospective population-based study. SETTING: 140 neighbourhoods in Toronto, Ontario, 2005-2009. PARTICIPANTS: Adults aged 20-59 years. MEASURES: Our primary outcome was premature all-cause mortality among adults aged 20-59 years. Across neighbourhoods we explored neighbourhood density, in km(2), of CCPs and alcohol outlets, and the relation of each to premature mortality. Poisson regression provided adjusted relative risks (aRRs) and 95% CIs, adjusting for material deprivation quintile (Q), crime Q and number of banks. RESULTS: Intentional self-harm, accidental poisoning and liver disease were among the top five causes of premature death among males aged 20-59 years. The overall premature mortality rate was 96.3/10,000 males and 55.9/10,000 females. Comparing the highest versus lowest CCP density Q, the aRR for death was 1.25 (95% CI 1.15 to 1.36) among males and 1.11 (95% CI 0.99 to 1.24) among females. The corresponding aRR comparing the highest Q versus lowest Q alcohol outlet density in relation to premature mortality was 1.36 (95% CI 1.25 to 1.48) for males and 1.11 (95% CI 1.00 to 1.24) for females. The pattern of the relation between either CCPs or alcohol outlet density and premature mortality was typically J shaped. CONCLUSIONS: There is a J-shaped relation between CCP or alcohol outlet density and premature mortality, even on controlling for conventional measures of poverty. Formal banking and alcohol reduction strategies might be added to health promotion policies aimed at reducing premature mortality in highly affected neighbourhoods.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".