Exploring Gender Differences in Self-Reported Physical Activity and Health Among Older Caregivers
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To document self-reported physical health and activity levels of older caregivers. Gender differences in physical health, physical activity levels, and predictors of physical activity were also examined. . DESIGN: A cross-sectional study. . SETTING: Tom Baker Cancer Centre in Calgary, Alberta, Canada. . SAMPLE: 130 caregivers aged 60 years or older caring for individuals with breast, prostate, or colorectal cancer. . METHODS: Self-report survey including validated questionnaires on physical and mental health and physical activity levels. Convenience sampling was used. Data were analyzed using descriptive statistics, correlations, and multiple regression. . MAIN RESEARCH VARIABLES: The physical component score of the SF-36v2® was the main research variable. Other variables included the mental component score of the SF-36v2, sleep quality, depression, social support, physical activity levels, and anxiety. . FINDINGS: The mean age of caregivers was 70 years. Physical health and physical activity levels were higher than population norms. A significant difference in physical health (p = 0.015) existed between men and women but not in physical activity levels (p = 0.079). Predictors of physical activity levels were age (β = -0.291), physical health (β = 0.307), and caregiving hours per week (β = -0.221). . CONCLUSIONS: The findings suggest that gender had a minimal effect on physical health and no effect on physical activity levels in older caregivers. Depression and poor sleep quality were high in some caregivers but did not predict physical activity levels. . IMPLICATIONS FOR NURSING: The negative effects of caregiving on physical health and physical activity levels in older caregivers are not universal. Nurses should be aware of the caregiving situation and promote health based on the individual.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".