Effect of simplified Tai Chi exercise on relieving symptoms of patients with mild to moderate Parkinson's disease
Bibliographic record
Abstract
BACKGROUND: Tai Chi, a kind of physical exercise, may act as a non-pharmacologic approach to reducing the symptoms of Parkinson's disease. This study was conducted to investigate the effect of simplified Tai Chi training plus routine exercise on motor and non-motor symptoms in patients with mild to moderate Parkinson's disease in comparison with routine exercise regimen alone. METHODS: Forty-one outpatients and inpatients with Parkinson's disease (PD) were randomized into Tai Chi group (N.=19) and routine exercise group as control group (N.=22) for 12 weeks. The Tai Chi group included both Tai Chi traning and routine exercise. Motor and non-motor functions were assessed. Motor function was evaluated by Unified Parkinson's Disease Rating Scale part III (UPDRS-III) and Berg Balance Scale (BBS). The non-motor symptoms like quality of life, sleep quality, depression and anxiety state, cognitive function were assessed by Parkinson's Disease Questionnaire-39 (PDQ-39), Parkinson's Disease Sleep Scale (PDSS), Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Montreal Cognitive Assessment (MOCA) respectively. RESULTS: After 12 weeks of intervention, participants in both Tai Chi and routine exercise groups gained effects in UPDRS-III, BBS, PDQ-39, PDSS and HAMD compared to the baseline. However, significant improvements between Tai Chi group and routine exercise group were only found in PDSS (P=0.029) and MoCA (P=0.024). CONCLUSIONS: Tai Chi training plus routine exercise might therefore be an ideal alternative non-pharmacological approach for the motor and non-motor symptoms of PD patients, and especially be more useful for the improvement of sleep quality and cognitive function in Parkinson's disease compared with routine exercise regimen alone.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".