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Updated: Sep 6, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Effects of Ten Different Exercise Interventions on Motor Function in Parkinson's Disease Patients-A Network
Zikang Hao1, Xiaodan Zhang1, Ping Chen1
1Department of Physical Education, Laoshan Campus, Ocean University of China, 238 Song Ling Rd., Qingdao 266100, China.
Objective:
The aim of this study was to evaluate ten exercise interventions (YOGA: yoga training, RT: resistance training, AQU: aquatic training, TAI: Taiji Qigong training, TRD: treadmill training, VR: virtual reality training, DANCE: musical dance training, WKT: walking training, CYC: cycling training, BDJ: Baduanjin Qigong training) on motor function in Parkinson's disease (PD) patients.
Design:
Through searching PubMed, Embase, Cochrane Library, Web of Science, and CNKI, only randomized controlled trials (RCTs) were collected to study the effects of the ten exercise interventions on motor function in patients with Parkinson's disease. The included studies were evaluated for methodological quality by the Cochrane bias risk assessment tool.
Results:
The RCTs were collected between the earliest available date and April 2022. Sixty RCTs were included and the total sample size used in the study was 2859. The results of the network meta-analysis showed that DANCE can significantly improve patients' Berg Balance Scale (BBS) (SUCRA = 78.4%); DANCE can significantly decline patients' Unified Parkinson's Disease Rating Scale score (UPDRS) (SUCRA = 72.3%) and YOGA can significantly decline patients' Timed-Up-and-Go score (TUGT) (SUCRA = 78.0%).
Conclusion:
Based on the network meta-analysis and SUCRA ranking, we can state that dance, yoga, virtual reality training and resistance training offers better advantages than other exercise interventions for patients' motor function.
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