Physical Activity Behavior Two to Six Years Following Cardiac Rehabilitation: A Socioecological Analysis
Bibliographic record
Abstract
BACKGROUND: Cardiac rehabilitation (CR) promotes long-term positive health behaviours, such as physical activity (PA), in patients following a cardiovascular event. We have limited knowledge of long-term PA and its correlates. Therefore, this research examined both PA behaviour and socioecological correlates among elderly graduates 2-6 years following CR. HYPOTHESIS: CR graduates will have a moderate PA level in the long term. Greater PA will be associated with various multilevel correlates. METHODS: This was a retrospective, cross-sectional study which quantified PA using the Physical Activity Scale for the Elderly (PASE) and collected information about socioecological correlates at the intrapersonal, interpersonal and health service levels. Both univariate and multivariate analyses assessed PA and PA correlates. RESULTS: The majority of the 584 participants were older (69.8 ± 9.8), male (80.3%), and well educated (75.4% ≥ some post-secondary). Average time since CR graduation was 41.5 ± 11.5 months. Seventy five percent of CR graduates reported current weekly PA levels that met, or exceeded, Canadian PA guidelines (>150 minutes of moderate-vigorous PA). Univariate analyses identified 13 PASE score correlates. Multivariate analyses identified age, PA enjoyment, current work status, CR staff support, location of primary residence, and perceived health as significantly associated with higher PASE scores (p < 0.001). CONCLUSIONS: Three and a half years post-CR graduates had high PA levels. Greater PA was associated with several modifiable multilevel correlates at all levels of influence. Understanding correlates of long-term PA behaviour among CR graduates will help identify groups at risk for nonadherence and assist with continued program development.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".