The Prevalence of Mental Disorders in the Working Population over the Period of Global Economic Crisis
Bibliographic record
Abstract
OBJECTIVES: The ongoing global economic crisis may have affected people's mental health. This study aimed to, among a sample of the working population, estimate and compare the prevalence of depressive and anxiety disorders in different time intervals from January 2008 to October 2009 and to examine the demographic and socioeconomic correlates of mental disorders. METHODS: From January 2008 to October 2009, 3579 employees in Alberta were recruited using the random digit dialing method. Mental disorders were assessed using the World Health Organization's Composite International Diagnostic Interview-Auto 2.1. The lifetime and 12-month prevalence of depressive and anxiety disorders in different time intervals were estimated and compared. RESULTS: The 12-month prevalence of major depressive disorder (MDD) before September 1, 2008; between September 1, 2008, and March 1, 2009; and between March 1, 2009, and October 30, 2009, was 5.1%, 6.8%, and 7.6% (P = 0.03), respectively. The lifetime prevalence of dysthymia reported during the 3 periods was 0.4%, 0.7%, and 1.5% (P = 0.006), respectively. No changes in the 12-month prevalence of social phobia, panic disorder, and generalized anxiety disorder were found over time. CONCLUSIONS: The ongoing global economic crisis may have contributed to the increased prevalence of MDD. Future studies are needed to monitor the changes in the prevalence and to describe how the event may affect people's employment status, income, and health.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".