Examining the health behaviours of older spousal caregivers: gender and the healthy caregiver effect
Bibliographic record
Abstract
This mixed methods study examines how physical and nutritional health behaviours compare between married older adults (aged 65+) caregiving for their spouse and older married non-caregivers, with attention to differences between men and women.Using data from the 2008-2009 Canadian Community Health Survey, Healthy Aging module, hierarchical regression analyses were performed to investigate the association between spousal caregiving and engagement in regular physical activity and healthy eating among married older adults (N = 5,579).Qualitative interviews were also conducted with 14 older spousal caregivers to contextualize the survey findings.Integrated results indicate a potential healthy caregiver effect, especially among women, in relation to increased caregiving physical activity.However, the impact of spousal caregiving on health behaviours is complex and influenced by gender, caregiving intensity and time.Leisure and nutritional health behaviours are negatively affected by the demands of caregiving.Study implications are relevant for caregiver interventions, community programs, and healthy public policy.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".