High and low contact frequency cardiac rehabilitation programmes elicit similar improvements in cardiorespiratory fitness and cardiovascular risk factors
Bibliographic record
Abstract
AIM: Cardiac rehabilitation (CR) is a proven intervention that substantially improves physical health and decreases death and disability following a cardiovascular event. Traditional CR typically involves 36 on-site exercise sessions spanning a 12-week period. To date, the optimal dose of CR has yet to be determined. This study compared a high contact frequency CR programme (HCF, 34 on-site sessions) with a low contact frequency CR programme (LCF, eight on-site sessions) of equal duration (4 months). METHODS: A total of 961 low-risk cardiac patients (RARE score <4) self-selected either a HCF (n = 469) or LCF (n = 492) CR programme. Cardiorespiratory fitness and cardiovascular risk factors were measured on admission and discharge. RESULTS: Similar proportions of patients completed HCF (n = 346) and LCF (n = 351) (p = 0.398). Patients who were less fit (<8 METs) were more likely to drop out of the LCF group, while younger patients (<60 years) were more likely to drop out of the HCF group. Both groups experienced similar reductions in weight (-2.3 vs. -2.4 kg; p = 0.779) and improvements in cardiorespiratory fitness (+1.5 vs. +1.4 METs; p = 0.418). CONCLUSIONS: Patients in the LCF programme achieved equivalent results to those in the HCF programme. Certain subgroups of patients, however, may benefit from participation in a HCF programme, including those patients who are predisposed to prematurely discontinuing the programme and those patients who would benefit from increased monitoring. The LCF model can be employed as an alternative option to widen access and participation for patients who are unable to attend HCF programmes due to distance or time limitations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".