Mental health and related disability among workers: A population‐based study
Bibliographic record
Abstract
BACKGROUND: In past decades, the nature of work has undergone significant changes including increased psychological demands and job instability. A stressful psychosocial work environment has been shown to have adverse effects on workers' mental and physical health. This goal of this study is to estimate the prevalence of psychiatric syndromes and related disability in a population-based sample of employed adults and investigate associations between psychiatric syndromes and related disability. METHODS: A random-digit dial provincial wide mental health survey was conducted in Alberta, Canada (n = 5,383). The telephone interview included the Mini International Neuropsychiatric Interview (MINI) and the World Health Organization's Disability Assessment Schedule (WHO-DAS-II). In this analysis, participants who were currently employed were included (n = 4,149). RESULTS: In this population, 6.2% had had at least one MINI-defined psychiatric diagnosis with clinically significant interference. Without consideration of the clinical interference criterion, the prevalence of psychiatric syndromes was higher (33.5%). Psychiatric syndromes were strongly associated with disability. A dose-response relationship between the number of diagnoses and disability was found. CONCLUSIONS: Interventional strategies in the workplace should focus on mental disorders at both the clinical and sub-clinical levels.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".