Social participation and depressive symptoms of carer-employees of older adults in Canada: a cross-sectional analysis of the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
OBJECTIVES: This study used two waves of data from the Canadian Longitudinal Study on Aging (CLSA) to investigate the association between social participation and depressive symptoms in carer-employees (CEs) and non-carer-employees (NCEs). METHODS: Adopting Pearlin et al.'s stress model, multivariate linear regression was used to examine the relationships among carer role, social participation, and depressive symptoms in Canadian employees using the first two waves of CLSA data, while controlling for possible confounders. RESULTS: Higher levels of social participation were found to be associated with lower depressive symptoms in both waves. Social participation was found to moderate depressive symptoms for CEs when compared with NCEs in Wave 2 but not in Wave 1. CONCLUSION: The present study highlights the importance of social participation in reducing CEs' depressive symptoms. The findings provide support for innovative policy and intervention efforts to encourage and enhance social participation at work via carer-friendly workplace policies for CEs across Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".