Efficacy of Oriental Exercises for Non-Motor Symptoms and Quality of Life in Parkinson’s Disease: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disorder without a definitive cure. Oriental exercises (OEs) have emerged as a complementary and alternative therapy for PD, but their efficacy in ameliorating non-motor symptoms (NMS) and quality of life (QOL) remains uncertain. This systematic review and meta-analysis actively investigated the efficacy of OEs in addressing NMS and enhancing QOL and sought to offer recommendations for optimal OE regimens for PD patients. By analyzing 30 controlled trials involving 2029 participants, we found that OEs significantly improved cognitive function, neuropsychiatric symptoms, and QOL compared to control groups. Specifically, significant improvements were observed in several outcome measures: Parkinson's Disease Questionnaire (PDQ) [MD: [Formula: see text]3.67, 95% CI: [Formula: see text]5.72-[Formula: see text]1.63, [Formula: see text], [Formula: see text]%], Parkinson's Disease Non-Motor Symptom Questionnaire (NMSQ) [MD: [Formula: see text]2.34, 95% CI: [Formula: see text]4.67-[Formula: see text]0.01, [Formula: see text], [Formula: see text]%], Montreal Cognitive Assessment (MoCA) [MD: 1.75, 95% CI: 1.46-2.03, [Formula: see text], [Formula: see text]%], Stroop Color and Word Test (SCWT) [MD: 0.87, 95% CI: 0.49-1.24, [Formula: see text], [Formula: see text]%], Frontal Assessment Battery (FAB) [MD: 1.49, 95% CI: 1.16-1.81, [Formula: see text], [Formula: see text]%], Hamilton Depression Scale (HAMD) [MD: [Formula: see text]4.27, 95% CI: [Formula: see text]6.85-[Formula: see text]1.69, [Formula: see text], [Formula: see text]%], Hamilton Anxiety Scale (HAMA) [MD: [Formula: see text]0.24, 95% CI: [Formula: see text]0.32-[Formula: see text]0.16, [Formula: see text], [Formula: see text]%], and the Symptom Checklist-90 (SCL-90) [MD: [Formula: see text]0.37, 95% CI: [Formula: see text]0.48-[Formula: see text]0.25, [Formula: see text], [Formula: see text]%]. Our findings provide compelling evidence for the potential benefits of OEs in managing NMS and improving QOL in PD patients. To optimize outcomes, we recommend customizing OE regimens based on individual clinical phenotypes, and to validate these results we emphasize the need for rigorous, large-scale studies.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.031 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".