Literature DB >> 18466909

The effect of walking speed on the gait of typically developing children.

Michael H Schwartz1, Adam Rozumalski, Joyce P Trost.   

Abstract

Many gait studies include subjects walking well below or above typical self-selected comfortable (free) speed. For this reason, a descriptive study examining the effect of walking speed on gait was conducted. The purpose of the study was to create a single-source, readily accessible repository of comprehensive gait data for a large group of children walking at a wide variety of speeds. Three-dimensional lower extremity joint kinematics, joint kinetics, surface electromyographic (EMG), and spatio-temporal data were collected on 83 typically developing children (ages 4-17) walking at speeds ranging from very slow (>3 standard deviations below mean free speed) to very fast (>3 standard deviations above mean free speed). The resulting data show that speed has a significant influence on many measures of interest, such as kinematic parameters in the sagittal, coronal, and transverse planes. The same was true for kinetic data (ground reaction force, moment, and power), normalized EMG signals, and spatio-temporal parameters. Examples of parameters with linear and various nonlinear speed dependencies are provided. The data from this study, including an extensive electronic addendum, can be used as a reference for both basic biomechanical and clinical gait studies.

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Year:  2008        PMID: 18466909     DOI: 10.1016/j.jbiomech.2008.03.015

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  74 in total

1.  Contributions of muscles and passive dynamics to swing initiation over a range of walking speeds.

Authors:  Melanie D Fox; Scott L Delp
Journal:  J Biomech       Date:  2010-03-16       Impact factor: 2.712

2.  How does patellar tendon advancement alter the knee extensor mechanism in children treated for crouch gait?

Authors:  Moria F Bittmann; Rachel L Lenhart; Michael H Schwartz; Tom F Novacheck; Scott Hetzel; Darryl G Thelen
Journal:  Gait Posture       Date:  2018-06-05       Impact factor: 2.840

3.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

4.  How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds.

Authors:  Edith M Arnold; Samuel R Hamner; Ajay Seth; Matthew Millard; Scott L Delp
Journal:  J Exp Biol       Date:  2013-03-07       Impact factor: 3.312

5.  How robust is human gait to muscle weakness?

Authors:  Marjolein M van der Krogt; Scott L Delp; Michael H Schwartz
Journal:  Gait Posture       Date:  2012-03-03       Impact factor: 2.840

6.  Trunk and hip muscle activation patterns are different during walking in young children with and without cerebral palsy.

Authors:  Laura A Prosser; Samuel C K Lee; Ann F VanSant; Mary F Barbe; Richard T Lauer
Journal:  Phys Ther       Date:  2010-04-29

7.  Variation of hamstrings lengths and velocities with walking speed.

Authors:  Kiran J Agarwal-Harding; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2010-04-08       Impact factor: 2.712

8.  Muscle contributions to support and progression over a range of walking speeds.

Authors:  May Q Liu; Frank C Anderson; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2008-09-25       Impact factor: 2.712

9.  Effects of juvenile idiopathic arthritis on kinematics and kinetics of the lower extremities call for consequences in physical activities recommendations.

Authors:  M Hartmann; F Kreuzpointner; R Haefner; H Michels; A Schwirtz; J P Haas
Journal:  Int J Pediatr       Date:  2010-09-02

10.  Contributions of muscles to mediolateral ground reaction force over a range of walking speeds.

Authors:  Chand T John; Ajay Seth; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2012-08-09       Impact factor: 2.712

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