The Association between Depression-related Disorders, Chronic Physical Conditions and Leisure-time Physical Activity among Canadians in Late Life: Results from the Canadian Community Health Survey (Cycle 2.1)
Bibliographic record
Abstract
Introduction: The benefits of leisure-time physical activity on mental and physical health among older adults are well documented, but few studies have explored the association between depression and leisure-time physical activity within a theoretical framework. \nObjective: The purpose of the present study was to identify the association between depression and leisure-time physical activity among community-dwelling, Canadian adults aged 65 and older, using a modified version of the International Classification of Functioning, Disability and Health (ICF) framework. \nMethod: The present study included a weighted sample of 3,785,145 community- dwelling, seniors aged 65 years or older who participated in the Canadian Community Health Survey (Cycle 2.1). Univariate and multiple logistic regressions were used to examine the cross-sectional association between depression-related disorders and leisure-time physical activity in the context of chronic physical conditions and psychosocial factors. \nResults: Older adults reporting depression-related disorders were less likely to participate in leisure-time physical activity after adjusting for relevant psychosocial factors (odds ratios (ORs) ranged from 0.76 to 0.79, p < 0.001). This association was partially mediated by activity limitations associated with depression-related disorders. Similar results were observed between chronic physical conditions and participation in leisure-time physical activity. \nConclusion: Although the present study was unable to identify the temporal relationships among study variables, the results provide clinicians who care for older adults with depression and/or chronic physical diseases with potentially useful information on the benefits of physical activity. They also provide evidence in support of community-based exercise or leisure-time physical activity program for seniors who are physically inactive to prevent chronic mental or physical illnesses and reduced quality of life
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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 | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".