Literature DB >> 31672729

Lower-limb joint mechanics during maximum acceleration sprinting.

Anthony G Schache1,2, Adrian K M Lai3, Nicholas A T Brown4, Kay M Crossley5, Marcus G Pandy2.   

Abstract

We explored how humans adjust the stance phase mechanical function of their major lower-limb joints (hip, knee, ankle) during maximum acceleration sprinting. Experimental data [motion capture and ground reaction force (GRF)] were recorded from eight participants as they performed overground sprinting trials. Six alternative starting locations were used to obtain a dataset that incorporated the majority of the acceleration phase. Experimental data were combined with an inverse-dynamics-based analysis to calculate lower-limb joint mechanical variables. As forward acceleration magnitude decreased, the vertical GRF impulse remained nearly unchanged whereas the net horizontal GRF impulse became smaller as a result of less propulsion and more braking. Mechanical function was adjusted at all three joints, although more dramatic changes were observed at the hip and ankle. The impulse from the ankle plantar-flexor moment was almost always larger than those from the hip and knee extensor moments. Forward acceleration magnitude was linearly related to the impulses from the hip extensor moment (R 2=0.45) and the ankle plantar-flexor moment (R 2=0.47). Forward acceleration magnitude was also linearly related to the net work done at all three joints, with the ankle displaying the strongest relationship (R 2=0.64). The ankle produced the largest amount of positive work (1.55±0.17 J kg-1) of all the joints, and provided a significantly greater proportion of the summed amount of lower-limb positive work as running speed increased and forward acceleration magnitude decreased. We conclude that the hip and especially the ankle represent key sources of positive work during the stance phase of maximum acceleration sprinting.
© 2019. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Ankle; Hip; Impulse; Knee; Mechanical work; Propulsion

Mesh:

Year:  2019        PMID: 31672729     DOI: 10.1242/jeb.209460

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  5 in total

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3.  Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach.

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4.  Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study.

Authors:  Nicos Haralabidis; Steffi L Colyer; Gil Serrancolí; Aki I T Salo; Dario Cazzola
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996

5.  Low Horizontal Force Production Capacity during Sprinting as a Potential Risk Factor of Hamstring Injury in Football.

Authors:  Pascal Edouard; Johan Lahti; Ryu Nagahara; Pierre Samozino; Laurent Navarro; Kenny Guex; Jérémy Rossi; Matt Brughelli; Jurdan Mendiguchia; Jean-Benoît Morin
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  5 in total

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