Is the Theory of Planned Behavior a Useful Framework for Understanding Exercise Adherence During Phase II Cardiac Rehabilitation?
Bibliographic record
Abstract
PURPOSE: This study evaluated the theory of planned behavior (TPB) as a framework for understanding exercise adherence during phase II cardiac rehabilitation (CR). METHODS: A total of 215 patients completed a baseline questionnaire that included the TPB constructs and past exercise. Exercise adherence was measured via program attendance during phase II CR. RESULTS: Hierarchic regression analyses indicated that attitude, subjective norm, and perceived behavioral control (PBC) explained 30% of the variance in exercise intention, with attitude, subjective norm, and PBC each making significant unique contributions to intention. Furthermore, exercise intention explained 12% of the variance in exercise adherence. Finally, the behavioral, normative, and control beliefs provided novel information concerning why patients in phase II CR hold certain attitudes, subjective norms, PBC, and exercise intentions. CONCLUSION: Results of the present study provide evidence that the TPB is a useful framework for understanding exercise intentions and adherence during phase II CR.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".