Deaths Associated with High-Volume Drinking of Alcohol among Adults in Canada in 2002: A Need for Primary Care Intervention?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study estimates risks of mortality associated with high-volume drinking for Canada in 2002 by age and sex. Distribution of exposure was taken from a major Canadian survey and corrected for per capita consumption from production and sales. High-volume drinking was defined as a daily consumption of ⩾40 grams of pure alcohol (at least 3 Canadian drinks) for men and ⩾20 grams of pure alcohol (at least 1.5 Canadian drinks) for women. Risk relations were taken from the published literature and combined with exposure to calculate age-and sex-specific alcohol-attributable fractions for high-volume drinking. Information on mortality was obtained from Statistics Canada and combined with alcohol-attributable fractions to estimate the overall mortality due to alcohol. About 4,950 net deaths (3,236 in those below 70 years of age) were due to high-volume drinking of alcohol in Canada in 2002. This constituted 2.2% (5.0% among those below 70 years of age) of all deaths. The net deaths were composed of 5,717 deaths caused and 767 deaths prevented. There was an age gradient, with the net deaths highest in 45–59 years age group. About 70.6% (5,717/8,103) of the overall deaths caused by alcohol were the result of high-volume drinking. Overall, the net impact of high-volume drinking of alcohol consumption on mortality in Canada is high. Policies should strive to reduce the burden of high-volume alcohol consumption. In addition to alcohol control measures, individual level interventions should be implemented in primary care to significantly reduce such burden.
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.
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) | 0.001 | 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 it