Evaluating the impact of bioenergy economy-based health improvement (BEHI) as a mind-body intervention on laboratory, clinical and psychological factors in post-MI patients: A randomized controlled trial.
Bibliographic record
Abstract
BACKGROUND: Patients with ischemic heart disease often exhibit various psychological factors that increase the risk of future cardiovascular events. Therefore, in addition to rehabilitation programs, there is a need for more interventional psychotherapy. Bioenergy Economy-based Health Improvement (BEHI) is a mind-body intervention that may address these issues. This study aimed to evaluate the effectiveness of the BEHI program on laboratory, clinical, and psychological factors in post-myocardial infarction (MI) patients. METHODS: In this study, 52 post-MI patients were randomly divided into two groups. One group received cardiac rehabilitation combined with the BEHI program, while the other group received only cardiac rehabilitation. Laboratory data, clinical characteristics, and psychological variables were evaluated at baseline, immediately after the intervention, and four months post-intervention (follow-up). RESULTS: Among the participants, the mean age was 59.97 ± 6.32 years, and 98.07% were male. The results showed a significant improvement in the mean scores of metabolic equivalents (METs), depression, and anxiety in participants who received the BEHI program and the rehabilitation program (p values: 0.006, 0.038, and 0.028, respectively). CONCLUSION: These findings suggest that incorporating mind-body interventions like the BEHI program into cardiac rehabilitation can enhance physical and psychological outcomes for patients recovering from MI.
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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 | 0.000 |
| 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".