Per capita alcohol consumption and all‐cause mortality in Canada, 1950–98
Bibliographic record
Abstract
AIMS: To estimate the relationship between per capita alcohol consumption and male all-cause mortality in Canada. DATA AND METHOD: The outcome measure comprised annual data on male all-cause mortality for the period 1950-98. Alcohol sales (in litres 100% alcohol) were used as proxy for per capita consumption. The data were analysed using the Box-Jenkins technique. Two models were estimated, one including only female mortality as control, the other in addition cigarette sales. RESULTS: The first model yielded a significant alcohol effect that implied a 2.9%[standard error (SE) = 0.6%] increase in mortality given a 1-litre increase in consumption. This estimate coincides with that obtained for northern Europe in previous research. When cigarette sales were included in the model the alcohol effect was still statistically significant but markedly reduced, to 1.7% (SE = 0.6%). CONCLUSIONS: Total mortality is a classic indicator of the general health status of the population. Its relationship with per capita consumption of alcohol supports the view that total consumption is a concern for public health.
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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 | 0.000 | 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 | 0.000 |
| 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".