Association between psychosocial work conditions and latent alcohol consumption trajectories among men and women over a 16-year period in a national Canadian sample
Bibliographic record
Abstract
BACKGROUND: It is unclear how psychosocial working conditions influence future alcohol consumption. Using group-based trajectory modelling, this study aimed to determine: the number of latent alcohol consumption trajectories over 16 years in a representative sample of the Canadian workforce; the association between psychosocial working conditions and longitudinal alcohol consumption; and if the association between psychosocial work factors and longitudinal alcohol consumption differed among men and women. METHODS: We included 5458 employed adults from the longitudinal Canadian National Population Health Survey. Average daily alcohol consumption was measured every 2 years from 1994 to 2010. Psychosocial work factors were measured in 1994 using the Job Content Questionnaire. Group-based trajectory modelling was used to derive the appropriate number of alcohol behaviour trajectories. The association between psychosocial work factors and alcohol trajectory membership was estimated using multinomial logistic regression. Models were stratified by sex to determine if these associations differed among men and women. RESULTS: Three alcohol consumption trajectories were present: non-drinkers, light drinkers (0.5-1 drinks/day) and moderate drinkers (2-3 drinks/day). Higher workplace physical exertion and lower social support levels were associated with membership in the moderate drinking trajectory. Among men, lower psychological demands and higher physical exertion levels were associated with membership in the moderate drinking trajectory. Among women, lower levels of physical exertion were associated with membership in the light drinking trajectory, and higher psychological demand levels were associated with membership in the moderate drinking trajectory. CONCLUSIONS: Our study suggests that workplace physical exertion and psychological demands may be associated with different alcohol consumption trajectories among men and women.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".