Workplace, psychosocial factors, and depressive symptoms among working people with arthritis: a longitudinal study.
Bibliographic record
Abstract
OBJECTIVE: To examine the role of demographic, illness-related, workplace support, workplace activity limitations, arthritis-related work changes, and psychosocial factors in predicting subsequent depressive symptoms among employed people with arthritis. METHODS: In a prospective study, 366 employed individuals with arthritis were recruited from Toronto, Canada. Respondents completed a structured questionnaire assessing demographic, disease-related factors, workplace support, and employment-related transitions, as well as psychosocial variables at 2 timepoints 18 months apart. Depression was assessed using the Center for Epidemiologic Studies Depression Scale. Hierarchical multiple regression was used for analyses. RESULTS: Individuals with greater education reported significantly less depression. Lower workplace support and greater workplace activity limitations were significantly associated with future depressive symptoms. No relationship was found between work transitions and later depression, but more work changes were strongly associated with concurrent depressive symptoms. An association was also found between greater pain catastrophizing and future depressive symptoms. CONCLUSION: Our results highlight the need to assess the influence of work-related changes, workplace support, and psychosocial variables on depressive symptoms among people with arthritis. These findings suggest that workplace interventions should address not only ways to reduce workplace activity limitations, but also ways to better manage emotional distress related to working with arthritis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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".