Literature DB >> 33414842

Effects of Body Weight Support-Tai Chi Footwork Training on Balance Control and Walking Function in Stroke Survivors with Hemiplegia: A Pilot Randomized Controlled Trial.

Xiao-Ming Yu1, Xue-Ming Jin2, Yan Lu1, Yang Gao3, Hai-Chen Xu1, Xin Xue2, Lei Fang2, Jun Hu2.   

Abstract

BACKGROUND: Tai Chi (TC) is known to enhance balance control and walking function in stroke survivors. However, motor disorders in stroke patients may limit the implementation of TC exercise and increase the risk of falling. The body weight support (BWS) device can provide protection during the early rehabilitation of stroke survivors using an overhead suspension system. Theoretically, combining TC with BWS may be an effective intervention for stroke survivors. This study aimed to examine the effects of body weight support-Tai Chi training on balance control and walking function in stroke survivors with hemiplegia.
METHODS: Seventy-one stroke survivors with hemiplegia aged 30-75 years were randomly allocated to the control group (N = 35) or the BWS-TC group (N = 36). During BWS-TC training, the subjects performed 7 Tai Chi footwork forms, and gradual easy-to-difficult progression (from 40% to 0% body weight) was followed. The subjects participated in 40 min rehabilitation sessions three times per week for 12 weeks. The primary outcome was dynamic balance in the limits-of-stability test. The secondary outcomes, which reflect improvements walking function, included spatiotemporal parameters, the joint range of motion in the affected limb during the swing phase, the Berg Balance Scale score, and the Fugl-Meyer Assessment score. Evaluations were performed at baseline and 12 weeks and compared between groups.
RESULTS: After training, significant between-group differences were observed in the scores for overall, forward, left, right, forward-left, and forward-right directional control in the limits-of-stability test (P < 0.05). Furthermore, the scores for gait cycle time, step length, step velocity, and range of motion of the joints were better in the BWS-TC group than in the control group (P < 0.05).
CONCLUSIONS: The 12-week BWS-TC training may enhance dynamic balance and walking function in stroke survivors with hemiplegia.
Copyright © 2020 Xiao-Ming Yu et al.

Entities:  

Year:  2020        PMID: 33414842      PMCID: PMC7769631          DOI: 10.1155/2020/9218078

Source DB:  PubMed          Journal:  Evid Based Complement Alternat Med        ISSN: 1741-427X            Impact factor:   2.629


  46 in total

1.  Short-form Tai Chi improves standing balance of people with chronic stroke.

Authors:  Stephanie S Y Au-Yeung; Christina W Y Hui-Chan; Jervis C S Tang
Journal:  Neurorehabil Neural Repair       Date:  2009-01-07       Impact factor: 3.919

2.  Global, Regional and Country-Specific Burden of Ischaemic Stroke, Intracerebral Haemorrhage and Subarachnoid Haemorrhage: A Systematic Analysis of the Global Burden of Disease Study 2017.

Authors:  Rita V Krishnamurthi; Takayoshi Ikeda; Valery L Feigin
Journal:  Neuroepidemiology       Date:  2020-02-20       Impact factor: 3.282

Review 3.  Exercise-based interventions for post-stroke social participation: A systematic review and network meta-analysis.

Authors:  Qi Zhang; Mark Schwade; Yvonne Smith; Racheal Wood; Lufei Young
Journal:  Int J Nurs Stud       Date:  2020-08-01       Impact factor: 5.837

4.  Body weight support-Tai Chi footwork for balance of stroke survivors with fear of falling: A pilot randomized controlled trial.

Authors:  ShangJun Huang; XiaoMing Yu; Yan Lu; Jun Qiao; HongLin Wang; Li-Ming Jiang; XuBo Wu; WenXin Niu
Journal:  Complement Ther Clin Pract       Date:  2019-09-23       Impact factor: 2.446

5.  Barriers to and Facilitators of Access and Participation in Community-Based Exercise Programmes from the Perspective of Adults with Post-stroke Aphasia.

Authors:  Diane C Blonski; Megan Covert; Roxanne Gauthier; Alanna Monas; Danielle Murray; Kelly K O'Brien; Anita Debbie Mendelson; Maria Huijbregts
Journal:  Physiother Can       Date:  2014       Impact factor: 1.037

Review 6.  The Berg Balance Scale has high intra- and inter-rater reliability but absolute reliability varies across the scale: a systematic review.

Authors:  Stephen Downs; Jodie Marquez; Pauline Chiarelli
Journal:  J Physiother       Date:  2013-06       Impact factor: 7.000

Review 7.  Treadmill training and body weight support for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2017-08-17

8.  Superior Effects of Modified Chen-Style Tai Chi versus 24-Style Tai Chi on Cognitive Function, Fitness, and Balance Performance in Adults over 55.

Authors:  Liye Zou; Paul D Loprinzi; Jane Jie Yu; Lin Yang; Chunxiao Li; Albert S Yeung; Zhaowei Kong; Shin-Yi Chiou; Tao Xiao
Journal:  Brain Sci       Date:  2019-05-04

9.  The Effect of Body Weight Support Treadmill Training on Gait Recovery, Proximal Lower Limb Motor Pattern, and Balance in Patients with Subacute Stroke.

Authors:  Yu-Rong Mao; Wai Leung Lo; Qiang Lin; Le Li; Xiang Xiao; Preeti Raghavan; Dong-Feng Huang
Journal:  Biomed Res Int       Date:  2015-11-16       Impact factor: 3.411

10.  Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients' Rehabilitation: Systematic Review.

Authors:  Omar Mubin; Fady Alnajjar; Nalini Jishtu; Belal Alsinglawi; Abdullah Al Mahmud
Journal:  JMIR Rehabil Assist Technol       Date:  2019-09-08
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  3 in total

1.  Muscle Energy Technique plus Neurac Method in Stroke Patients with Hemiplegia Complicated by Diabetes Mellitus and Assessment of Quality of Life.

Authors:  Jingyan Wang; Shuang Wang; Hongmei Wu; Shuxin Dong; Baojun Zhang
Journal:  Dis Markers       Date:  2022-05-09       Impact factor: 3.464

Review 2.  Emerging Trends and Hotspots in Tai Chi Fall Prevention: Analysis and Visualization.

Authors:  Jiesi Chen; Xin Xue; Jing Xu; Jinshu Zeng; Fei Xu
Journal:  Int J Environ Res Public Health       Date:  2022-07-07       Impact factor: 4.614

3.  Intervention Effect of Rehabilitation Robotic Bed Under Machine Learning Combined With Intensive Motor Training on Stroke Patients With Hemiplegia.

Authors:  Guangliang Liu; Haiqin Cai; Naruemon Leelayuwat
Journal:  Front Neurorobot       Date:  2022-06-09       Impact factor: 3.493

  3 in total

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