Prevalence and risk factors for anxiety and depression disorders in workers with work-related musculoskeletal strain or sprain in British Columbia, Canada: a comparison of men and women using administrative health data
Bibliographic record
Abstract
OBJECTIVE: To examine the prevalence and risk factors for medically treated anxiety and depression disorders among men and women with musculoskeletal strain or sprain work injury in British Columbia, Canada. METHODS: A retrospective population-based cohort of accepted workers' compensation lost-time claims from 2000 to 2013 was constructed using linked administrative health data. Anxiety and depression disorders were identified using diagnoses from physician, hospital and pharmaceutical records. The 1-year period prevalence was estimated for the year before and the year after injury. Sociodemographic, clinical and work-related risk factors for prevalent and new onset anxiety and depression disorders were examined using multinomial regression. RESULTS: 13.2% of men and 29.8% of women had medically treated anxiety, depression or both in the year before injury. Only a slight increase (~2%) in the prevalence of these disorders was observed in the year after injury. Somatic and mental comorbidities were both strong risk factors for pre-existing and new onset anxiety and depression for both men and women, but these relationships were stronger for men. CONCLUSION: Anxiety and depression disorders including those from prior to injury are common in workers with musculoskeletal strain or sprain and are associated with a complicated clinical profile. Gender-sensitive and sex-sensitive mental healthcare is an important consideration for work disability management.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".