The Impact of Chronic Work Stress, Psychiatric Disorders and Chronic Physical Conditions on Disability Among Canadian Workers
Bibliographic record
Abstract
Background: The picture of the effects of chronic work stress, psychiatric disorders and chronic physical conditions on worker disability is becoming increasingly complicated. There appears to be a link between psychiatric disorders and work-related stress and also evidence that psychiatric disorders and physical conditions are linked. Yet, few studies have considered how these factors interact to impact disability in the working population. Objectives: This study explores the relationships between disability with psychiatric disorders, chronic work stress, chronic physical conditions in the Canadian working population. Methods: The study population (n=22,118) was drawn from the Canadian Community Health Survey 1.2 (CCHS), a national population-based survey that gathered cross-sectional data on health status from 37,000 respondents between May and December 2002. The sample included CCHS respondents aged 18-64 years old who indicated they were employed during the past year. Each respondent was given a structured diagnostic interview developed for the World Health Organization's World Mental Health Initiative 2000. The relationships between disability and chronic work stress, chronic physical conditions and psychiatric disorders were examined for working respondents using logistic regressions controlling for sociodemographic characteristics, province/region and occupation. Results: Approximately, 30.6% of respondents experienced chronic work stress either alone or in combination with chronic physical condition and/or a psychiatric disorder. About 46.1% reported at least one chronic physical condition either alone or in combination. Finally, 10.7% had a psychiatric disorder. Compared to the group with none of the factors, increasing combinations were associated with increasing odds of disability after controlling for sociodemographics (i.e., age, sex, education, income, marital status, race/ethnicity), occupation and region. Conclusions: The presence of chronic work stress seems to amplify effects of psychiatric disorders and chronic physical conditions on disability. In addition, psychiatric disorders comorbid with physical illness seem to be associated with significantly higher odds of disability.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 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) | 0.003 | 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".