Literature DB >> 27567569

The effects of load carriage on joint work at different running velocities.

Bernard X W Liew1, Susan Morris2, Kevin Netto2.   

Abstract

Running with load carriage has become increasingly prevalent in sport, as well as many field-based occupations. However, the "sources" of mechanical work during load carriage running are not yet completely understood. The purpose of this study was to determine the influence of load magnitudes on the mechanical joint work during running, across different velocities. Thirty-one participants performed overground running at three load magnitudes (0%, 10%, 20% body weight), and at three velocities (3, 4, 5m/s). Three dimensional motion capture was performed, with synchronised force plate data captured. Inverse dynamics was used to quantify joint work in the stance phase of running. Joint work was normalized to a unit proportion of body weight and leg length (one dimensionless work unit=532.45J). Load significantly increased total joint work and total positive work and this effect was greater at faster velocities. Load carriage increased ankle positive work (β coefficient=rate of 6.95×10-4 unit work per 1% BW carried), and knee positive (β=1.12×10-3 unit) and negative work (β=-2.47×10-4 unit), and hip negative work (β=-7.79×10-4 unit). Load carriage reduced hip positive work and this effect was smaller at faster velocities. Inter-joint redistribution did not contribute significantly to altered mechanical work within the spectrum of load and velocity investigated. Hence, the ankle joint contributed to the greatest extent in work production, whilst that of the knee contributed to the greatest extent to work absorption when running with load.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomechanics; Kinetics; Load carriage; Running

Mesh:

Year:  2016        PMID: 27567569     DOI: 10.1016/j.jbiomech.2016.08.012

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


  6 in total

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2.  Load Magnitude and Locomotion Pattern Alter Locomotor System Function in Healthy Young Adult Women.

Authors:  Kellen T Krajewski; Dennis E Dever; Camille C Johnson; Qi Mi; Richard J Simpson; Scott M Graham; Gavin L Moir; Nizam U Ahamed; Shawn D Flanagan; William J Anderst; Chris Connaboy
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3.  Effects of two neuromuscular training programs on running biomechanics with load carriage: a study protocol for a randomised controlled trial.

Authors:  Bernard X W Liew; Susan Morris; Justin W L Keogh; Brendyn Appleby; Kevin Netto
Journal:  BMC Musculoskelet Disord       Date:  2016-10-22       Impact factor: 2.362

4.  Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis.

Authors:  Bernard X W Liew; Christopher C Drovandi; Samuel Clifford; Justin W L Keogh; Susan Morris; Kevin Netto
Journal:  PeerJ       Date:  2018-04-12       Impact factor: 2.984

5.  External Mechanical Work in Runners With Unilateral Transfemoral Amputation.

Authors:  Hiroto Murata; Genki Hisano; Daisuke Ichimura; Hiroshi Takemura; Hiroaki Hobara
Journal:  Front Bioeng Biotechnol       Date:  2021-12-27

6.  Altering gait variability with an ankle exoskeleton.

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Journal:  PLoS One       Date:  2018-10-24       Impact factor: 3.240

  6 in total

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