Quality of life and psychosocial measures influenced by exercise modality in patients with coronary artery disease.
Bibliographic record
Abstract
BACKGROUND: The optimal approach to prescribing resistance training (RT) combined with aerobic training (AT) for psychosocial and health-related quality of life (HRQOL) is unclear. AIM: To compare the effects of AT combined with RT (1 versus 3 sets) versus AT alone on HRQOL and psychosocial outcomes. DESIGN: Subjects (N.=72) were randomized to AT (5 d∙wk-1) or AT (3 d∙wk-1) with either 1 set (AT/RT1) or 3 sets (AT/RT3) of RT performed 2 d∙wk-1. SETTING: Outpatient Cardiac Rehabilitation Program. POPULATION: Subjects with coronary artery disease. METHODS: HRQOL and psychosocial parameters were assessed before and after 29 weeks of training by questionnaire. RESULTS: Fifty-three subjects (mean±SD age 60.6±10.6 years) completed training. There was a group effect for change in self-efficacy of lower body physical activity tasks (P=0.03) with significantly greater improvement for AT/RT3 than AT alone (17.5±16.6% vs. 3.2±12.8% respectively, p=0.04). Lower body self-efficacy improved for AT/RT1 (15.5±13.8%, p<0.001) but not for AT alone (P=0.2). Self-efficacy for upper body tasks improved with AT/RT3 (18.2±19.9%, P=0.003) and AT/RT1 training (12.6±15.8%, P=0.005) but not with AT alone (8.3±16.1%, P=0.1). AT/RT3 and AT/RT1 training yielded improvements in depression score (-4.0±7.7, P=0.04 and -3.0±5.1, P=0.02 respectively) but not with AT alone (-0.5±4.7, P=0.71). The improvement from baseline in physical HRQOL score (MOS, SF-36) averaged 8.2±11.2% for AT (P=0.04), 10.4±11.9% for AT/RT1 (P=0.006) and 12.0±12.9% for AT/RT3 (P=0.004). CONCLUSIONS: Both AT+RT groups with either 1 or 3 sets (AT 3 d∙wk-1and RT 2 d∙wk-1) each yield more pronounced psychosocial and HRQOL adaptations than AT alone (5 d∙wk-1). RT prescription beyond 1 set may further augment selected parameters in cardiac patients. CLINICAL REHABILITATION IMPACT: These results provide further rationale to develop combined AT+RT regimens for individuals with coronary artery 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 | 0.001 | 0.002 |
| 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) | 0.002 | 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".