Zhenlan Li1,2, Tian Wang1, Haoyang Liu2, Yan Jiang1, Zhen Wang3, Jie Zhuang1. 1. School of Sport Science, Shanghai University of Sport, Shanghai, China. 2. Department of Rehabilitation Sciences, Ningbo College of Health Sciences, Zhejiang, Ningbo, China. 3. School of Martial Arts, Shanghai University of Sport, Shanghai, China.
Abstract
OBJECTIVE: The aim of the present study was to systematically evaluate and quantify the effectiveness of dual-task training on gait parameters, motor symptoms and balance in individuals diagnosed with Parkinson's disease. DATA RESOURCES: A systematic review of published literature was conducted until May 2020, using PubMed, EMBASE, Cochrane Library, Web of Science, EBSCO and CNKI databases. METHODS: We included randomized controlled trials (RCTs) and non-RCTs to evaluate the effects of dual-task training compared with those of non-intervention or other forms of training. The measurements included gait parameters, motor symptoms and balance parameters. Methodological quality was assessed using the PEDro scale. Outcomes were pooled by calculating between-group mean differences using fixed- or random-effects models based on study heterogeneity. RESULTS: A total of 11 RCTs comprising 322 subjects were included in the present meta-analysis. Results showed that dual-task training significantly improved gait speed (standardized mean difference [SMD], -0.23; 95% confidence interval [CI], -0.38 to -0.08; P = 0.002), cadence (SMD, -0.25; 95% CI, -0.48 to -0.02; P = 0.03), motor symptoms (SMD, 0.56; 95% CI, 0.18 to 0.94; P = 0.004) and balance (SMD, -0.44; 95% CI, -0.84 to -0.05; P = 0.03). However, no significant changes were detected in step length or stride length. CONCLUSION: Dual-task training was effective in improving gait performance, motor symptoms and balance in patients with Parkinson's disease relative to other forms of training or non-intervention.
OBJECTIVE: The aim of the present study was to systematically evaluate and quantify the effectiveness of dual-task training on gait parameters, motor symptoms and balance in individuals diagnosed with Parkinson's disease. DATA RESOURCES: A systematic review of published literature was conducted until May 2020, using PubMed, EMBASE, Cochrane Library, Web of Science, EBSCO and CNKI databases. METHODS: We included randomized controlled trials (RCTs) and non-RCTs to evaluate the effects of dual-task training compared with those of non-intervention or other forms of training. The measurements included gait parameters, motor symptoms and balance parameters. Methodological quality was assessed using the PEDro scale. Outcomes were pooled by calculating between-group mean differences using fixed- or random-effects models based on study heterogeneity. RESULTS: A total of 11 RCTs comprising 322 subjects were included in the present meta-analysis. Results showed that dual-task training significantly improved gait speed (standardized mean difference [SMD], -0.23; 95% confidence interval [CI], -0.38 to -0.08; P = 0.002), cadence (SMD, -0.25; 95% CI, -0.48 to -0.02; P = 0.03), motor symptoms (SMD, 0.56; 95% CI, 0.18 to 0.94; P = 0.004) and balance (SMD, -0.44; 95% CI, -0.84 to -0.05; P = 0.03). However, no significant changes were detected in step length or stride length. CONCLUSION: Dual-task training was effective in improving gait performance, motor symptoms and balance in patients with Parkinson's disease relative to other forms of training or non-intervention.
Authors: Karina Pitombeira Pereira-Pedro; Iris Machado de Oliveira; Irimia Mollinedo-Cardalda; José M Cancela-Carral Journal: Int J Environ Res Public Health Date: 2022-06-26 Impact factor: 4.614
Authors: Lee-Kuen Chua; Yu-Chen Chung; David Bellard; Laura Swan; Nicole Gobreial; Amanda Romano; Ryan Glatt; Michael A Bonaguidi; Darrin J Lee; Yi Jin; Charles Y Liu; Beth E Fisher Journal: Int J Environ Res Public Health Date: 2021-11-25 Impact factor: 3.390
Authors: Josefa Domingos; John Dean; Júlio Belo Fernandes; Catarina Godinho Journal: Int J Environ Res Public Health Date: 2022-01-24 Impact factor: 3.390
Authors: Monika Zawadka-Kunikowska; Jacek J Klawe; Małgorzata Tafil-Klawe; Monika Bejtka; Łukasz Rzepiński; Mirosława Cieślicka Journal: Int J Environ Res Public Health Date: 2022-10-04 Impact factor: 4.614