Literature DB >> 26481257

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

John H Hollman1, Molly K Watkins2, Angela C Imhoff2, Carly E Braun2, Kristen A Akervik2, Debra K Ness2.   

Abstract

Motorized treadmills are commonly used in biomechanical and clinical studies of human walking. Whether treadmill walking induces identical motor responses to overground walking, however, is equivocal. The purpose of this study was to examine differences in the spatiotemporal gait parameters of the lower extremities and trunk during treadmill and overground walking using comparison of mean and variability values. Twenty healthy participants (age 23.8±1.2 years) walked for 6min on a treadmill and overground while wearing APDM 6 Opal inertial monitors. Stride length, stride time, stride velocity, cadence, stance phase percentage, and peak sagittal and frontal plane trunk velocities were measured. Mean values were calculated for each parameter as well as estimates of short- (SD1) and long-term variability (SD2) using Poincaré analyses. The mean, SD1, and SD2 values were compared between overground and treadmill walking conditions with paired t-tests (α=0.05) and with effect size estimates using Cohen's d statistic. Mean values for each of the gait parameters were statistically equivalent between treadmill and overground walking (p>0.05). The SD1 and SD2 values representing short- and long-term variability were considerably reduced (p<0.05) on the treadmill as compared to overground walking. This demonstrates the importance of consideration of gait variability when using treadmills for research or clinical purposes. Treadmill training may induce invariant gait patterns, posing difficulty in translating locomotor skills gained on a treadmill to overground walking conditions.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Healthy volunteers; Humans; Locomotion; Treadmill test; Walking

Mesh:

Year:  2015        PMID: 26481257     DOI: 10.1016/j.gaitpost.2015.09.024

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


  46 in total

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4.  Uncontrolled manifold analysis of the effects of a perturbation-based training on the organization of leg joint variance in cerebellar ataxia.

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5.  Relationship between margin of stability and deviations in spatiotemporal gait features in healthy young adults.

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7.  Gait event detection using inertial measurement units in people with transfemoral amputation: a comparative study.

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Journal:  Med Biol Eng Comput       Date:  2019-12-23       Impact factor: 2.602

8.  Forced use of paretic leg induced by constraining the non-paretic leg leads to motor learning in individuals post-stroke.

Authors:  Ming Wu; Chao-Jung Hsu; Janis Kim
Journal:  Exp Brain Res       Date:  2019-08-12       Impact factor: 1.972

9.  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

10.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

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