Meeting Womenâs Health Needs in the Community: Assessment of the Physical Activity and Health Promotion Practices, Preferences and Priorities of Older Women Living with Cardiovascular Disease
Bibliographic record
Abstract
Cardiovascular disease (CVD) is the leading cause of death among Canadian women, and accounts for up to 30% of deaths among women worldwide. Women with CVD are typically older than their male counterparts, experience worse functional status, are more likely to experience non-CVD health conditions such as diabetes or arthritis, and will live with these health conditions for more years than men. Physical activity (PA) and cardiac rehabilitation (CR) participation is lower among women compared to men, but little is known about the PA and health promotion experiences, priorities and practices of older women living with CVD. Guided by a socioenvironmental approach to health promotion, a mixed method design involving a mail survey (N=127) and qualitative interviews (N=15) was employed to describe and explore the PA and health promotion practices, preferences and priorities of older women (â¥65 years) living with CVD in the Champlain health region of Ontario. Nearly 60% of survey respondents were referred to CR. Logistic regression analysis revealed urban residence as a predictor of CR referral (p<0.01, OR=3.24; 95% CI: 1.44-7.30). Nearly 55% of respondents attended CR, which was predicted by CR referral (p<0.01, OR=32.26; 95% CI: 9.26-111.11), availability of transportation (p<0.05, OR=9.96; 95% CI: 1.22-81.41), and a history of structured PA (p<0.05, OR=3.64; 95% CI: 1.16-11.36). Respondents were more active than their peers, but received little support from their physician for PA. Older womenâs incidental PA (walking six or more hours/week for transportation) was predicted by their sense of community belonging (p<0.05, OR=2.6; 95% CI: 1.05-6.29) and having energy for PA (p<0.05, OR=5.8; 95% CI: 1.21-27.92). Interview participants (including four who had attended CR) described health as a resource that enables them to lead busy, active lives. Most participants attributed CVD to genetics or stress, but still engaged in health-promoting activities, including structured and incidental PA. Participants engaged in âincidentalâ activities such as walking, gardening, and housekeeping tasks purposefully, with the intention of maintaining or improving their health. This research can inform public health initiatives and health care services (including CR) to better meet the needs and preferences of the growing population of older women with CVD.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".