The effects of free dance versus hatha yoga on quality of life and motor and non-motor symptoms in people with Parkinson's disease: protocol study for a randomized clinical trial
Bibliographic record
Abstract
Objective: To describe a protocol comparing the effects of free dance, hatha yoga, and a control group on quality of life, motor and non-motor symptoms in people with Parkinson's disease (PwP). Methods: This is a randomized three-arm study. Inclusion criteria will be people with clinically diagnosed Parkinson's disease (PD), ≥ 45 years old, and in stages I to IV of the Hoehn and Yahr Disability Scale (HY). Who do not reach the cut-off point of the Montreal Cognitive Assessment (MoCA) and classified in stage V of the HY will be excluded. The interventions will last 60 minutes, twice a week, progressing from light to vigorous intensity. The primary outcome will be quality of life assessed by the Parkinson's Disease Questionnaire (PDQ39). Secondary outcomes will include the Unified Parkinson's Disease Rating Scale (UPDRS), the evaluation of motor and physical function such as shoulder and hip range of motion (goniometer), cardiorespiratory fitness (six-minute walk test), balance (MiniBESTest), as well as non-motor aspects such as anxiety (Beck Anxiety Inventory), self-esteem (Rosenberg Self-Esteem Scale), cognition (MoCA), hope (Herth Hope Scale), fecal incontinence (Fecal Incontinence Quality of life), urinary incontinence (International Consultation on Incontinence Questionnaire - Short Form), and depressive symptoms (Beck Depression Inventory). Data will be collected at baseline and post-intervention. Discussion: If study interventions are deemed effective compared to standard of care (i.e. control group), the present study will advance current knowledge on non-pharmacological therapeutic strategies for People with Parkinson. Study registered RBR-54s92mh on 02/29/24.
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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 | 0.026 | 0.023 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.034 | 0.005 |
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".