Exposure to Work and Nonwork Stressors and the Development of Heart Disease Among Canadian Workers Aged 40 Years and Older
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the contribution of work, nonwork, and individual factors to self-reported heart disease, and to evaluate gender-related differences over a period of 16 years among Canadian workers aged 40 years and more. METHODS: Using the National Population Health Survey (NPHS, 1994 to 2010), we estimated multilevel logistic regression models (N = 2996). RESULTS: Couple-related strains, being a man, age, hypertension, and body mass index, are associated with an increased risk of heart disease. In analysis stratified by gender, physical demands at work and having high child-related strains were associated with heart disease specifically among women. Psychotropic drug use increased the risk of heart disease only in men. CONCLUSION: Our study suggests that work stressors measured by Statistics Canada NPHS are largely not associated with the risk of heart disease, except in women exposed to physical demands at work.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".