Literature DB >> 24119777

The influence of age, muscle strength and speed of information processing on recovery responses to external perturbations in gait.

R Senden1, H H C M Savelberg, J Adam, B Grimm, I C Heyligers, K Meijer.   

Abstract

Dynamic imbalance caused by external perturbations to gait can successfully be counteracted by adequate recovery responses. The current study investigated how the recovery response is moderated by age, walking speed, muscle strength and speed of information processing. The gait pattern of 50 young and 45 elderly subjects was repeatedly perturbed at 20% and 80% of the first half of the swing phase using the Timed Rapid impact Perturbation (TRiP) set-up. Recovery responses were identified using 2D cameras. Muscular factors (dynamometer) and speed of information processing parameters (computer-based reaction time task) were determined. The stronger, faster reacting and faster walking young subjects recovered more often by an elevating strategy than elderly subjects. Twenty three per cent of the differences in recovery responses were explained by a combination of walking speed (B=-13.85), reaction time (B=-0.82), maximum extension strength (B=0.01) and rate of extension moment development (B=0.19). The recovery response that subjects employed when gait was perturbed by the TRiP set-up was modified by several factors; the individual contribution of walking speed, muscle strength and speed of information processing was small. Insight into remaining modifying factors is needed to assist and optimise fall prevention programmes.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  Age; Cognitive ability; Muscle strength; Trip recovery

Mesh:

Year:  2013        PMID: 24119777     DOI: 10.1016/j.gaitpost.2013.08.033

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


  6 in total

1.  Treadmill-gait slip training in community-dwelling older adults: mechanisms of immediate adaptation for a progressive ascending-mixed-intensity protocol.

Authors:  Yiru Wang; Shuaijie Wang; Anna Lee; Yi-Chung Pai; Tanvi Bhatt
Journal:  Exp Brain Res       Date:  2019-07-08       Impact factor: 1.972

2.  Fast online corrections of tripping responses.

Authors:  Zrinka Potocanac; Janneke de Bruin; Susanne van der Veen; Sabine Verschueren; Jaap van Dieën; Jacques Duysens; Mirjam Pijnappels
Journal:  Exp Brain Res       Date:  2014-07-29       Impact factor: 1.972

Review 3.  A systematic review of gait perturbation paradigms for improving reactive stepping responses and falls risk among healthy older adults.

Authors:  Christopher McCrum; Marissa H G Gerards; Kiros Karamanidis; Wiebren Zijlstra; Kenneth Meijer
Journal:  Eur Rev Aging Phys Act       Date:  2017-03-02       Impact factor: 3.878

4.  Gait stability in response to platform, belt, and sensory perturbations in young and older adults.

Authors:  S Roeles; P J Rowe; S M Bruijn; C R Childs; G D Tarfali; F Steenbrink; M Pijnappels
Journal:  Med Biol Eng Comput       Date:  2018-06-27       Impact factor: 2.602

5.  Tripping Avoidance Lower Extremity Exoskeleton Based on Virtual Potential Field for Elderly People.

Authors:  Zongwei Zhang; Changle Li; Tianjiao Zheng; Hongwu Li; Sikai Zhao; Jie Zhao; Yanhe Zhu
Journal:  Sensors (Basel)       Date:  2020-10-15       Impact factor: 3.576

6.  Subclinical Cardiovascular Disease and Fall Risk in Older Adults: Results From the Atherosclerosis Risk in Communities Study.

Authors:  Stephen P Juraschek; Natalie Daya; Lawrence J Appel; Edgar R Miller; Kunihiro Matsushita; Erin D Michos; B Gwen Windham; Christie M Ballantyne; Elizabeth Selvin
Journal:  J Am Geriatr Soc       Date:  2019-07-10       Impact factor: 7.538

  6 in total

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