Effect of combined aerobic and resistance training versus aerobic training alone in individuals with coronary artery disease: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: Resistance training (RT) has only a permissive role as an adjunct to aerobic training (AT) in cardiac rehabilitation. DESIGN AND METHODS: To compare the effect of AT with combined RT and AT (CT) we searched MEDLINE, Cochrane Controlled Trials Register, EMBASE, PreMedline, SPORT DISCUS, CINAHL (from the earliest date available to October 2009) for randomized controlled trials (RCTs), examining effects of CT versus AT on body composition, cardiovascular fitness (VO(2peak)), strength, and quality-of-life (QOL) in coronary artery disease (CAD) (excluding heart failure). Two reviewers selected studies independently. RESULTS: Twelve studies met the study criteria (229 AT patients, 275 CT patients). Compared with AT, CT decreased percent body fat by -2.3% (WMD (weighted mean difference); 95% CI: -3.59 to -1.02), decreased trunk fat (SMD (standardized mean difference): -0.56; 95% CI: -0.96 to -0.15) and increased fat-free mass by 0.9 kg (WMD; 95% CI: 0.39 to 1.36) in three studies (n = 106). Similarly CT was associated with larger increases in lower body strength (seven studies, n = 225, SMD: 0.77; 95% CI: 0.49 to 1.04) and upper body strength (eight studies, n = 262, SMD: 1.07; 95% CI: 0.76 to 1.38). Compared to AT, CT improved peak work capacity (three studies, n = 92, SMD: 0.88; 95% CI: 0.45 to 1.31) and there was a trend for CT to increase VO(2peak) by 0.41 ml/kg/min (nine studies, n = 399, WMD; 95% CI: -0.05 to 0.88). Qualitative analysis of QOL data favors CT. Study withdrawals were similar for AT (14.2% ± 13.2) and CT (11.5% ± 15.5). No serious adverse events were reported. CONCLUSIONS: CT is more effective than AT in improving body composition, strength, and some indicators of cardiovascular fitness, and does not compromise study completion or safety when compared to AT.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.053 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".