Literature DB >> 33812294

User-driven treadmill walking promotes healthy step width after stroke.

Margo C Donlin1, Nicole T Ray2, Jill S Higginson3.   

Abstract

BACKGROUND: Walking with user-driven treadmill control is believed to be more like overground walking than fixed-speed treadmill walking. Walking speed and ground reaction forces differ between overground and fixed-speed treadmill walking, but not between overground and user-driven treadmill walking in healthy and post-stroke subjects. However, studies assessing spatiotemporal gait parameters during user-driven treadmill walking are limited. This information may help confirm that user-driven treadmill walking is more like overground walking than fixed-speed treadmill walking, as well as inform the development of post-stroke gait rehabilitation programs. RESEARCH QUESTION: How do spatiotemporal gait parameters for individuals post-stroke differ between fixed-speed and user-driven treadmill walking?
METHODS: Eighteen subjects (10 M, 8 F; 62 ± 12 years; 1.73 ± 0.12 m; 84.9 ± 12.9 kg; 40 ± 30 months post-stroke) with chronic post-stroke hemiparesis participated in this study. Participants walked on an instrumented treadmill in its fixed-speed and user-driven modes at their self-selected and fastest comfortable walking speeds. Subjects wore retroreflective markers for motion capture. Shapiro-Wilk tests were used to assess for normality and one-way repeated measures ANOVAs were used to compare between conditions with α = 0.05. Bonferroni corrections were used for multiple comparisons.
RESULTS: Step width was significantly smaller with user-driven control (13.7 cm, 95 % CI: [0.131, 0.145]) than fixed-speed control (16.8 cm, 95 % CI:[0.160, 0.174]), while step length and step time did not differ across treadmill conditions. Step length and step time differed between self-selected and fast walking speeds, but not treadmill control conditions. SIGNIFICANCE: The results of this study show that user-driven treadmill control encourages healthy gait biomechanics and a greater sense of stability in post-stroke subjects. Individuals post-stroke walked with smaller step width with user-driven treadmill control, which has been associated with increased balance. Post-stroke gait rehabilitation may benefit from programs with user-driven treadmill training paradigms to improve mobility following stroke.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Self-paced treadmill; Spatiotemporal parameters; Step width; Stroke; User-driven treadmill control

Mesh:

Year:  2021        PMID: 33812294      PMCID: PMC8085049          DOI: 10.1016/j.gaitpost.2021.03.031

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  15 in total

1.  Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds.

Authors:  George Chen; Carolynn Patten; Dhara H Kothari; Felix E Zajac
Journal:  Gait Posture       Date:  2005-08       Impact factor: 2.840

2.  Kinematic, kinetic and metabolic parameters of treadmill versus overground walking in healthy older adults.

Authors:  Krishnaji Parvataneni; Leone Ploeg; Sandra J Olney; Brenda Brouwer
Journal:  Clin Biomech (Bristol, Avon)       Date:  2008-10-30       Impact factor: 2.063

3.  Walking speed changes in response to user-driven treadmill control after stroke.

Authors:  Nicole T Ray; Darcy S Reisman; Jill S Higginson
Journal:  J Biomech       Date:  2020-01-16       Impact factor: 2.712

Review 4.  Motor recovery after stroke: a systematic review.

Authors:  Peter Langhorne; Fiona Coupar; Alex Pollock
Journal:  Lancet Neurol       Date:  2009-08       Impact factor: 44.182

Review 5.  Human movement variability, nonlinear dynamics, and pathology: is there a connection?

Authors:  Nicholas Stergiou; Leslie M Decker
Journal:  Hum Mov Sci       Date:  2011-07-29       Impact factor: 2.161

6.  A comparison of variability in spatiotemporal gait parameters between treadmill and overground walking conditions.

Authors:  John H Hollman; Molly K Watkins; Angela C Imhoff; Carly E Braun; Kristen A Akervik; Debra K Ness
Journal:  Gait Posture       Date:  2015-10-23       Impact factor: 2.840

7.  Longitudinal changes in poststroke spatiotemporal gait asymmetry over inpatient rehabilitation.

Authors:  Kara K Patterson; Avril Mansfield; Louis Biasin; Karen Brunton; Elizabeth L Inness; William E McIlroy
Journal:  Neurorehabil Neural Repair       Date:  2014-05-13       Impact factor: 3.919

8.  Dynamic structure of variability in joint angles and center of mass position during user-driven treadmill walking.

Authors:  Kelley M Kempski; Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  Gait Posture       Date:  2019-05-01       Impact factor: 2.840

9.  Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke.

Authors:  Sara Mulroy; JoAnne Gronley; Walt Weiss; Craig Newsam; Jacquelin Perry
Journal:  Gait Posture       Date:  2003-08       Impact factor: 2.840

Review 10.  Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an International Academy on Nutrition and Aging (IANA) Task Force.

Authors:  G Abellan van Kan; Y Rolland; S Andrieu; J Bauer; O Beauchet; M Bonnefoy; M Cesari; L M Donini; S Gillette Guyonnet; M Inzitari; F Nourhashemi; G Onder; P Ritz; A Salva; M Visser; B Vellas
Journal:  J Nutr Health Aging       Date:  2009-12       Impact factor: 4.075

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  1 in total

1.  Adaptive treadmill control can be manipulated to increase propulsive impulse while maintaining walking speed.

Authors:  Kayla M Pariser; Margo C Donlin; Kaitlyn E Downer; Jill S Higginson
Journal:  J Biomech       Date:  2022-01-28       Impact factor: 2.712

  1 in total

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