Association of Mood, Anxiety, and Substance Use Disorders With Occupational Status and Disability in a Community Sample
Bibliographic record
Abstract
OBJECTIVE: This study examined associations between mood disorders, anxiety disorders, substance dependence or harmful alcohol use, and occupational status and disability in a general population sample. METHODS: Data from the Canadian Community Health Survey Cycle 1.2-Mental Health and Well-Being (CCHS-1.2), a representative cross-sectional survey, were analyzed. The total sample was narrowed to individuals between the ages of 18 and 64 years, the age range most likely to be working. RESULTS: Of the 27,332 persons surveyed, 946 had a mood disorder only, 831 had an anxiety disorder only, 730 had substance dependence only, and 966 had more than one disorder. Twenty-three percent reported that during the previous week they were not at a job or were permanently unable to work (27% with mood disorder only, 30% with anxiety disorder only, and 20% with substance dependence only, and 34% with more than one disorder). In unadjusted analyses, mood and anxiety disorders were associated with absence from work during the week preceding the interview, whereas substance dependence was not. After adjustment for other variables using logistic regression, an association of substance dependence and work absence emerged. Each category of disorder was strongly associated with a greater likelihood of disability days or days spent in bed for mental health reasons. CONCLUSIONS: On a population level, mood and anxiety disorders and substance dependence were associated both with not working during the week preceding the interview as well as an increase in reported disability or bed days. The strength of association appears to be stronger for mood and anxiety disorders.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".