Work organisation conditions, alcohol misuse: The moderating role of personality traits
Bibliographic record
Abstract
OBJECTIVE: The moderating role of personality traits between work organization conditions and alcohol misuse by Canadian workers was examined. PARTICIPANTS: Longitudinal data came from Statistics Canada's National Population Health Survey (NPHS). METHODS: Data had a hierarchical structure and were analyzed using multilevel logistic regression models. RESULTS: The multilevel analyis revealed that skill utilisation at work increased by 7% the risk of being part of an alcohol misuse group. Similarly, psychological demands at work, and being confronted with an irregular work schedule increased alcohol misuse respectively by 69 and 611%. Inversely, workers confronted with a job insecurity and those benefitting from social support at work had a respective 12 and 5% lower risk of being part of an alcohol misuse group. As for personnality traits, self-esteem increased by 17% the risk of alcohol misuse, while sense of coherence decreased the risk by 1%. Finally, self-esteem moderated by 3% the impact of physical demands at work on workers'alcohol misuse. CONCLUSIONS: This study builds upon previous research, since no prior study was able to identify the moderating role that self-esteem plays between physical demands at work, and worker's alcohol misuse.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".