Workplace factors and the transition to major depression in a representative sample of Alberta employees
Bibliographic record
Abstract
Subthreshold depression is prevalent and increases risk of Major Depressive Disorder (MDD), though psychosocial workplace factors associated with the transition have not been explored. Using data from the Population-based Longitudinal Study on Work and Health, participants with no depression (n=2840) and subthreshold depression (n=305) were followed prospectively for two years. Subthreshold depression was measured with the Patient Health Questionnaire-9, while MDD was measured with the Composite International Diagnostic Interview-Auto 2.1. Using binomial regression modelling, those with high work to family conflict had an increased risk of 2-year transition to subthreshold depression (RRadj 1.47; 95% CI: 1.05-2.05; p=0.02) and 1-year transition to MDD (RRadj 2.88; 95% CI: 1.08-7.62; p=0.03) compared to those with low work to family conflict. Similar risk factors appear to exist for subthreshold depression and MDD. Future studies with larger sample sizes should consider multinomial transitions including outcomes of more severe depression, less severe depression, and no change.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".