The Effects of Mindfulness Meditation-Based Complex Exercise Program on Motor and Nonmotor Symptoms and Quality of Life in Patients with Parkinson's Disease
Bibliographic record
Abstract
Purpose The present study was to examine the effect of a meditation-based exercise program on the motor and non-motor symptoms of Parkinson's disease (PD). Methods Sixty three PD patients who were recruited from a university hospital were randomly assigned to the experimental group (n = 33) and to the control group (n = 30). Participants completed an 8-week Mindfulness Meditation-based Complex Exercise Program (MMBCEP) that included 6 sessions. Before and after the intervention, the Six-Minute Walk Test (6MWT), elastic band pull, chair stand test, and 2.45-meter walk test were administered for the motor symptoms and the Korean Version of Geriatric Depression Scale, The State-Trait Anxiety Inventory (STAI), the Korean-Montreal Cognitive Assessment, Parkinson's Disease Sleep Scale (PDSS), Activities of Daily Living (ADL), and the Quality of Life of Patients with Parkinson's Disease (PDQL) were administered for non-motor symptoms. Results Significant improvements in the motor symptoms (i.e., muscle strength (lower and upper extremity), balance, and muscle endurance) and in the non-motor symptoms (i.e., anxiety, depression, cognitive functions, sleep disturbance, quality of life, and activities of daily living) were observed. Conclusions MMBCEP, a complex exercise program-based on mindfulness meditation, is associated with increased motor symptoms, decreased emotional disturbances (anxiety and depression) and sleep disturbance, and improved cognitive functions, quality of life, and activities of daily living. Future research should test the effects of MMBCEP with more representative PD patients.
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 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 | 0.000 | 0.000 |
| 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".