A Prospective Study of Sex-Specific Effects of Major Depression on Alcohol Consumption
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of major depression on alcohol use in the Canadian general population. METHOD: This study was based on a 2-year follow-up of the Canadian National Population Health Survey (NPHS) longitudinal cohort. Subjects reporting various patterns of drinking, with and without major depression, were selected using the 1994-95 NPHS data. Data collected during a reevaluation of these subjects 2 years later were analyzed to determine whether having major depression at the 1994-95 interview predicted subsequent changes in drinking patterns. RESULTS: Subjects who were depressed in 1994-95 were generally not at higher risk of starting drinking or drinking more frequently than once a week. However, women who were depressed, especially those who were 19 years old or older, were at higher risk of having 5 or more drinks at least once monthly. CONCLUSION: These results confirm that mood disorders can impact on alcohol consumption in women. A component of the well-known association between alcohol consumption and major depression is due to "reverse" causal effects. Proper management of depression in women may contribute to the prevention of problem drinking.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".