The direct and indirect relationships between alcohol prevention measures and alcoholic liver cirrhosis mortality.
Bibliographic record
Abstract
OBJECTIVE: The objective of this article is to investigate direct and indirect relationships between prevention measures and alcoholic liver cirrhosis mortality in Canadian provinces from 1968 to 1986. METHOD: The data base that was assembled included alcoholic cirrhosis mortality rates, alcohol availability measures (rate of licensed premises, year in which the legal drinking age was reduced), per capita consumption of alcohol, rates of AA members and groups, and economic and demographic measures. This article develops a two-equation analytic model based on the availability theory of alcohol problems and prevention (Single, 1988). The distinction between direct and indirect effects of prevention measures can be made explicitly with this model. RESULTS: Alcohol availability measures, but not AA measures, had a significant direct potential impact on alcohol consumption. AA measures had a significant direct relationship to cirrhosis mortality rates. Alcohol consumption also had a significant direct relationship to cirrhosis mortality, and alcohol availability measures had an important indirect relationship through their influence on per capita alcohol consumption. CONCLUSIONS: While these observations need to be interpreted cautiously, the two-equation model shows promise as an approach to understanding direct and indirect influences on alcohol problems. As expected, AA measures and per capita alcohol consumption demonstrated significant direct relationship to cirrhosis mortality. In addition, important indirect influences of drinking-age changes and rates of licensed premises on cirrhosis mortality were observed through their relationships to per capita alcohol consumption.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".