Literature DB >> 31570262

High Intensity Exercise for Walking Competency in Individuals with Stroke: A Systematic Review and Meta-Analysis.

Lu Luo1, Shiqiang Zhu2, Luoyi Shi3, Peng Wang3, Mengying Li3, Song Yuan4.   

Abstract

OBJECTIVE: To assess the effects of high intensity exercise on walking competency in individuals with stroke. DATA SOURCES: A systematic electronic searching of the PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL (EBSCOhost), and SPORTSDiscus (EBSCOhost) was initially performed up to June 25, 2019. STUDY SELECTION: Randomized controlled trials or clinical controlled trials comparing any walking or gait parameters of the high intensity exercise to lower intensity exercise or usual physical activities were included. The risk of bias of included studies was assessed by the Cochrane risk of bias tool. The quality of evidence was assessed using GRADE (Grading of Recommendations, Assessment, Development and Evaluation) system. DATA EXTRACTION: Data were extracted by 2 independent coders. The mean and standard deviation of the baseline and endpoint scores after training for walking distance, comfortable gait speed, gait analysis (cadence, stride length, and the gait symmetry), cost of walking, Berg Balance Scale , Time Up&Go (TUG) Test and adverse events were extracted. DATA SYNTHESIS: A total of 22 (n = 952) studies were included. Standardized mean difference (SMD), weighted mean difference (WMD), and odds ratios (ORs) were used to compute effect size and subgroup analysis was conducted to test the consistency of results with different characteristics of exercise and time since stroke. Sensitivity analysis was used to assess the robustness of the results, which revealed significant differences on walking distance (SMD = .32, 95% CI, .17-.46, P < .01, I2 = 39%; WMD = 21.76 m), comfortable gait speed (SMD = .28, 95% CI, .06-.49, P = .01, I2 = 47%; WMD = .04 m/s), stride length (SMD = .51, 95% CI, .13-.88, P < .01, I2 = 0%; WMD = .12 m) and TUG (SMD = -.36, 95% CI, -.72 to .01, P = .05, I2 = 9%; WMD = -1.89 s) in favor of high intensity exercise versus control group. No significant differences were found between the high intensity exercise and control group in adverse events, including falls (OR = 1.40, 95% CI, .69-2.85, P = .35, I2 = 11%), pain (OR = 3.34, 95% CI, .82-13.51, P = .09, I2 = 0%), and skin injuries (OR = 1.08, 95% CI, .30-3.90, P = .90, I2 = 0%).
CONCLUSIONS: This systematic review suggests that high intensity exercise could be safe and more potent stimulus in enhancing walking competency in stroke survivors, with a capacity to improve walking distance, comfortable gait speed, stride length, and TUG compared with low to moderate intensity exercise or usual physical activities.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Exercise therapy; Stroke; gait; intensity; meta-analysis

Year:  2019        PMID: 31570262     DOI: 10.1016/j.jstrokecerebrovasdis.2019.104414

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  8 in total

1.  Gains in Daily Stepping Activity in People With Chronic Stroke After High-Intensity Gait Training in Variable Contexts.

Authors:  T George Hornby; Abbey Plawecki; Jennifer K Lotter; Molly E Scofield; Emily Lucas; Christopher E Henderson
Journal:  Phys Ther       Date:  2022-08-04

2.  Comparison of high-intensive and low-intensive electromechanical-assisted gait training by Exowalk® in patients over 3-month post-stroke.

Authors:  Chang Seon Yu; Yeon-Gyo Nam; Bum Sun Kwon
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-07-10

3.  Changes in Walking Speed After High-Intensity Treadmill Training Are Independent of Changes in Spatiotemporal Symmetry After Stroke.

Authors:  Brice Cleland; Sangeetha Madhavan
Journal:  Front Neurol       Date:  2021-04-01       Impact factor: 4.003

Review 4.  Role of Regular Physical Activity in Neuroprotection against Acute Ischemia.

Authors:  Domenico Di Raimondo; Giuliana Rizzo; Gaia Musiari; Antonino Tuttolomondo; Antonio Pinto
Journal:  Int J Mol Sci       Date:  2020-11-29       Impact factor: 5.923

5.  Physical activity dimensions after stroke: patterns and relation with lower limb motor function.

Authors:  Hanneke E M Braakhuis; Monique A M Berger; Ruben G R H Regterschot; Erwin E H van Wegen; Ruud W Selles; Gerard M Ribbers; Johannes B J Bussmann
Journal:  J Neuroeng Rehabil       Date:  2021-12-11       Impact factor: 4.262

6.  High-Intensity Interval Training Improves Physical Function, Prevents Muscle Loss, and Modulates Macrophage-Mediated Inflammation in Skeletal Muscle of Cerebral Ischemic Mice.

Authors:  Lu Luo; Meixi Liu; Hongyu Xie; Yunhui Fan; Jingjun Zhang; Li Liu; Yun Li; Qiqi Zhang; Junfa Wu; Congyu Jiang; Yi Wu
Journal:  Mediators Inflamm       Date:  2021-11-20       Impact factor: 4.711

Review 7.  A Systematic Review and Meta-Analysis of the Effectiveness of High-Intensity Interval Training in People with Cardiovascular Disease at Improving Depression and Anxiety.

Authors:  Tingting Gu; Pengli Hao; Ping Chen; Yi Wu
Journal:  Evid Based Complement Alternat Med       Date:  2022-10-06       Impact factor: 2.650

Review 8.  Effect of Treadmill Training Interventions on Spatiotemporal Gait Parameters in Older Adults with Neurological Disorders: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Alka Bishnoi; Rachel Lee; Yang Hu; Jeannette R Mahoney; Manuel E Hernandez
Journal:  Int J Environ Res Public Health       Date:  2022-02-28       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.