Self‐Efficacy and Adherence to Exercise During and as a Follow‐Up to Cardiac Rehabilitation
Bibliographic record
Abstract
We examined self‐efficacy (task, in‐class, and barrier) and physical activity during transition from hospital‐based cardiac rehabilitation. Participants (N = 50) completed measures of self‐efficacy at the midpoint and end of the program. Cardiac rehabilitation adherence was monitored and physical activity assessed by telephone interview 6 and 12 weeks post‐program. Mid‐program barrier self‐efficacy predicted adherence (R2adj. = .15, p < .05). Barrier self‐efficacy at the end of the program predicted physical activity 6 weeks later (R2 = .11, p < .05). Task self‐efficacy at the end of the program predicted home‐based exercise at the 12‐week follow‐up (R2 = .10, p < .05). Results have implications for intervention efforts to ease transition from supervised to independent home‐based exercise.
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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 | 0.002 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".