Mental disorders and their association with perceived work stress: An investigation of the 2010 Canadian Community Health Survey.
Bibliographic record
Abstract
The economic repercussions of mental disorders in the workplace are vast. Research has found that individuals in high-stress jobs tend to have higher prevalence of mental disorders. The current cross-sectional study examined the relationships between work-related stress and mental disorders in a recent representative population-based sample-the 2010 Canadian Community Health Survey by Statistics Canada (CCHS; 2010a; Retrieved from http://www23.statcan.gc.ca/imdb-bmdi/instrument/3226_Q1_V7-eng.pdf). Respondents in the highest level of perceived work stress had higher odds of ever being treated for an emotional or mental-health problem and for being treated in the past 12 months. These high-stress respondents also had higher odds of being diagnosed for mood and anxiety disorders than their nonstressed counterparts. These associations highlight the continued need to examine and promote mental health and well-being in the workplace.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".