Skip Navigation
Skip to contents

JMD : Journal of Movement Disorders

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
1 "Physical activity"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Article image
Comparison of the Impact of Various Exercise Modalities on Parkinson’s Disease
Jinse Park, Sang-Myung Cheon, Myung Jun Lee, Dong-Woo Ryu, Dallah Yoo
J Mov Disord. 2025;18(3):222-230.   Published online April 15, 2025
DOI: https://doi.org/10.14802/jmd.25038
  • 9,471 View
  • 363 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary Material
Objective
Exercise is a critical nonpharmacological intervention for Parkinson’s disease (PD); however, comparative evidence on the efficacy of different exercise modalities is limited. This study aimed to compare the effects of tai chi, strength training, yoga, and home-based exercises on motor function in patients with PD.
Methods
In this multicenter, open-label, randomized clinical trial, 99 patients with PD were allocated to one of four exercise interventions: tai chi, strength training, yoga, or home-based exercises. Each intervention consisted of 12 weeks of supervised sessions, followed by 12 weeks of independent practice. The primary outcomes included the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) Part III and timed up-and-go (TUG) test parameters. The assessed secondary outcomes included physical activity (measured via short physical performance battery and the 6-minute walking test [6MWT]), balance (measured via the Mini-BEST), and freezing of gait (measured via the New Freezing of Gait Questionnaire).
Results
Home exercise and tai chi demonstrated significant improvements in the MDS-UPDRS Part III scores over 24 weeks. The 6MWT was improved by home exercises and tai chi; additionally, the Mini-BEST test scores were enhanced by strength exercises and yoga. The total duration and forward movement of the TUG test, as well as the turning duration measured via the wearable sensor, were markedly improved in the yoga group.
Conclusion
Our results support the notion that various types of adherence to and outcomes of exercise can be observed in real-world settings, even though the effectiveness of exercise is well established. These findings highlight the importance of tailoring exercise regimens by considering individual patients in PD management.

Citations

Citations to this article as recorded by  
  • Telerehabilitation for Parkinson’s disease: a systematic review and meta-analysis based on randomized controlled trials
    Renfei Li, Lili Wang, Jian Zhang
    Neurological Sciences.2026;[Epub]     CrossRef
  • Comparative Efficacy of 17 Rehabilitation Therapies Combined With Medication for Improving Gait Disorders and Quality of Life in Parkinson's Disease: A Network Meta-Analysis of 137 RCTs
    Xinyu Lin, Haojie Li, Xie Wu
    Archives of Physical Medicine and Rehabilitation.2026; 107(7): 1816.     CrossRef
  • Instrumented Timed Up and Go (iTUG): A Systematic Review of Parameters Across Healthy, Older, and Neurological Populations
    Piotr Szaflik, Katarzyna Nowakowska-Lipiec
    Journal of Clinical Medicine.2026; 15(9): 3307.     CrossRef
  • Summary of the best evidence for non-pharmaceutical interventions for mild cognitive impairment in Parkinson’s disease
    Yud Dan Liu, Hui Fang Li, Ya Xian Zhai, Yun Xia Shen, Jinmei Yang, Li Mei He, Ting Shen
    Frontiers in Neurology.2025;[Epub]     CrossRef
  • Symptom Networks and Associations with Quality of Life in Patients with Early to Mid-Stage Parkinson’s Disease: A Network Analysis
    Qiu Deng, Yaoling Duan, Zhengting Yang, Puqing Wang, Ziwei Liu, Min Zhou
    Degenerative Neurological and Neuromuscular Disease.2025; Volume 15: 101.     CrossRef
  • Factors Associated With the Response to Exercise in Patients With Parkinson’s Disease
    Myung Jun Lee, Jinse Park, Dong-Woo Ryu, Dallah Yoo, Sang-Myung Cheon
    Journal of Movement Disorders.2025; 18(4): 308.     CrossRef

JMD : Journal of Movement Disorders bluesky InBug Facebook X
Close layer
TOP