Literature DB >> 25117855

Examination of spatiotemporal gait parameters during the 6-min walk in individuals with multiple sclerosis.

Michael J Socie1, Robert W Motl, Jacob J Sosnoff.   

Abstract

This investigation examined spatiotemporal parameters of gait during the 6-min walk (6MW) in individuals with multiple sclerosis (MS) and in healthy controls. Eighteen individuals with MS [divided into those who were independently ambulatory (n=10) and those who were ambulatory with assistance (n=8)] and 10 healthy controls performed a 6MW while recording spatiotemporal gait parameters using a pressure-sensitive walkway. Parameters recorded were walking velocity, cadence, step length and width, step time, percent of the gait cycle in double support, and variability of step length and width, step time, and double support. The ambulatory with assistance MS group had a significantly greater reduction in walking velocity (P=0.000) over the course of the 6MW, which coincided with a significantly greater increase in step time and double support (P=0.029) than in the other groups. Only the ambulatory with assistance MS group showed an increase in step-time variability and double-support variability during the 6MW (P's<0.05). The novel results indicate that the reduction in velocity over prolonged walking occurs through a greater change in the temporal parameters of gait in persons with MS who require assistance while walking. In addition, the increase in gait variability in the individuals with MS who require assistance while walking indicates that the control over walking further deteriorates over the course of the 6MW.

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Mesh:

Year:  2014        PMID: 25117855     DOI: 10.1097/MRR.0000000000000074

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  9 in total

1.  Dynamic Balance Is Related to Physiological Impairments in Persons With Multiple Sclerosis.

Authors:  Alexander T Peebles; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Arch Phys Med Rehabil       Date:  2017-12-22       Impact factor: 3.966

2.  Changes in trunk and head acceleration during the 6-minute walk test and its relation to falls risk for adults with multiple sclerosis.

Authors:  Steven Morrison; C Armitano-Lago; C A Rynders; J J Sosnoff
Journal:  Exp Brain Res       Date:  2022-01-28       Impact factor: 1.972

3.  Gait asymmetry, and bilateral coordination of gait during a six-minute walk test in persons with multiple sclerosis.

Authors:  Meir Plotnik; Joanne M Wagner; Gautam Adusumilli; Amihai Gottlieb; Robert T Naismith
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

4.  Models for temporal-spatial parameters in walking with cadence ratio as the independent variable.

Authors:  Juan Fang; Zaile Mu; Zhonghua Xu; Le Xie; Guo-Yuan Yang; Qiuju Zhang
Journal:  Med Biol Eng Comput       Date:  2018-11-21       Impact factor: 2.602

5.  Transcranial Direct Current Stimulation (tDCS) to Improve Gait in Multiple Sclerosis: A Timing Window Comparison.

Authors:  Craig D Workman; John Kamholz; Thorsten Rudroff
Journal:  Front Hum Neurosci       Date:  2019-11-28       Impact factor: 3.169

6.  Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis-a Prospective Study.

Authors:  Daniel Drebinger; Ludwig Rasche; Daniel Kroneberg; Patrik Althoff; Judith Bellmann-Strobl; Martin Weygandt; Friedemann Paul; Alexander U Brandt; Tanja Schmitz-Hübsch
Journal:  Front Neurol       Date:  2020-04-15       Impact factor: 4.003

7.  Can optical flow perturbations detect walking balance impairment in people with multiple sclerosis?

Authors:  Brian P Selgrade; Diane Meyer; Jacob J Sosnoff; Jason R Franz
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240

8.  Multi-level modeling with nonlinear movement metrics to classify self-injurious behaviors in autism spectrum disorder.

Authors:  Kristine D Cantin-Garside; Divya Srinivasan; Shyam Ranganathan; Susan W White; Maury A Nussbaum
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

9.  Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting.

Authors:  Lorenza Angelini; William Hodgkinson; Craig Smith; Jessie Moorman Dodd; Basil Sharrack; Claudia Mazzà; David Paling
Journal:  J Neurol       Date:  2020-05-28       Impact factor: 4.849

  9 in total

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