Do mental disorders moderate the association between diabetes status and alcohol consumption?
Bibliographic record
Abstract
Although heavy alcohol consumption is associated with diabetes-related complications, little is known about patterns of alcohol use among people with diabetes. Moreover, heavy drinking is more common among individuals with major depressive disorder (MDD), bipolar disorder (BD), and generalized anxiety disorder (GAD) than in the general population, and these disorders are often comorbid with diabetes. The present study tested the hypothesis that mental disorders moderate the association between diabetes status and alcohol consumption. A total of 14,302 adult participants aged 40-79 were included from the cross-sectional 2012 Canadian Community Health Survey-Mental Health (1,698 with diabetes). Data were analyzed using hierarchical linear regression models. MDD and BD, but not GAD, significantly moderated the association between diabetes status and alcohol quantity, such that the presence of diabetes was strongly and negatively associated with alcohol quantity if individuals had MDD or BD. There was no interaction between diabetes status and any of the mental disorders and alcohol frequency. This study suggests that among individuals with diabetes, those with comorbid MDD or BD drink less than those without MDD or BD. Further investigation of this association is needed and could help inform future alcohol-related interventions among individuals with diabetes.
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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 | 0.001 | 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 | 0.001 | 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".