Effects of listening to Holy Qur’an recitation and physical training on dialysis efficacy, functional capacity, and psychosocial outcomes in elderly patients undergoing haemodialysis
Bibliographic record
Abstract
The purpose of this study was to determine whether listening to Holy Qur'an recitation would augment the beneficial effects of physical exercise on physiological and psychological measures in elderly patients undergoing haemodialysis. Fifty-three male haemodialysis patients were randomly assigned to an intervention group (listening to Holy Qur'an recitation in combination with endurance-resistance training, n = 28) or a control group (endurance-resistance training only, n = 25). Functional capacity was assessed using the Timed Up and Go test (TUG) and the Six-Minute Walk Test (6MWT). Psychosocial outcomes were assessed using the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) and Hospital Anxiety and Depression Scale (HADS). Dialysis adequacy (Kt/V) was calculated for all patients. After intervention, a significant Group × Period interaction effect was observed for all measured parameters (p < 0.05), except for 6MWT performance (p > 0.05). All measured parameters were significantly improved over baseline in both groups, except for Kt/V in the control group (p > 0.05). Moreover, final measurements were significantly higher in the intervention group than in the control group for all measured parameters, except for 6MWT performance and the physical component summary of the SF-36 (p > 0.05). In conclusion, the present study showed that listening to a recitation of the Holy Qur'an in combination with interdialytic endurance-resistance training induced an improvement in physical condition and quality of life and a large reduction in anxiety among patients undergoing haemodialysis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".