Major Depressive Episodes and Work Stress: Results From a National Population Survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: We determined the proportion of workers meeting criteria for major depressive episodes in the past year and examined the association between psychosocial work-stress variables and these episodes. METHODS: Data were derived from the Canadian Community Health Survey 1.2, a population-based survey of 24324 employed, community-dwelling individuals conducted in 2002. We assessed depressive episodes using the Composite International Diagnostic Interview. RESULTS: Of the original sample, 4.6% (weighted n=745948) met criteria for major depressive episodes. High job strain was significantly associated with depression among men (odds ratio [OR]=2.38; 95% confidence interval [CI]=1.29, 4.37), and lack of social support at work was significantly associated with depression in both genders (men, OR=2.70; 95% CI=1.55, 4.71; women, OR=2.37; 95% CI=1.71, 3.29). Women with low levels of decision authority were more likely to have depression (OR=1.59; 95% CI=1.06, 2.39) than were women with high levels of authority. CONCLUSIONS: A significant proportion of the workforce experienced major depressive episodes in the year preceding our study. Gender differences appear to affect work-stress factors that increase risk for depression. Prevention strategies need to be developed with employers and employee organizations to address work organization and to increase social support.
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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 | 0.017 | 0.005 |
| 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 it