Secondary prevention strategies for increasing physical activity in adults less than 80 years of age with coronary heart disease: what is the evidence for utilization of the transtheoretical model?
Bibliographic record
Abstract
Coronary heart disease is a major cause of illness and death in Western countries. Coronary heart disease is associated with significant costs to the patient, society, and the health care system. Patients with coronary heart disease are a priority population for disease management primary health care providers are encouraged to focus on patients with coronary heart disease. Secondary prevention of major cardiovascular disease is recognized as a key component of a cost-effective public health strategy to reduce the rising burden of this disease. A sedentary lifestyle has been identified as an independent modifiable risk factor for coronary heart disease. Effective strategies for increasing physical activity in individuals with coronary heart disease have been acknowledged as successful secondary prevention interventions. This project is a systematic review of the literature to determine whether utilization of individualized behavioural counseling based on the Transtheoretical Model to increase physical activity in adults with coronary heart disease is effective. Systematic review of the literature provided evidence that supports the utilization of the Transtheoretical Model to understand predictors of physical activity, and its use in counseling approaches to increase physical activity in aduults with coronary heart disease or modifiable risk factors for coronary heart disease.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".