Correlates of Physical Activity Change in Patients Not Attending Cardiac Rehabilitation
Bibliographic record
Abstract
In Brief OBJECTIVE: Limited research has identified theoretical correlates of physical activity (PA) change in patients not receiving cardiac rehabilitation. The purpose of the present study was to determine whether changes in self-efficacy, PA intention, perceived severity and susceptibility, and PA benefits/barriers were associated with changes in PA over a 12-month period in these patients. METHODS: Patients (N = 555) not attending cardiac rehabilitation completed a psychosocial questionnaire in hospital and 6 and 12 months after hospitalization for a cardiac event. RESULTS: Hierarchical regression analyses showed that the increase in PA from baseline to 6 months was significantly related to an increase in self-efficacy and PA intentions and a decrease in the impact of health-related barriers. Furthermore, the decrease in PA from 6 to 12 months was significantly related to a decrease in health-related benefits and PA intentions and an increase in time and health-related barriers. Finally, the increase in PA from baseline to 12 months was significantly related to an increase in health-related benefits and intentions and a decrease in health-related barriers. CONCLUSIONS: Changes in PA levels over a 12-month period were associated with changes in various theoretical variables. Interestingly, the associations among these variables with PA varied as a function of time after hospitalization. Five hundred fifty-five cardiac patients completed a questionnaire in hospital, and 6 and 12 months after hospitalization. Results showed that changes in physical activity throughout the 12-month period were significantly associated with changes in self-efficacy, physical activity intentions, physical activity barriers, and physical activity benefits.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".