Predicting Temporal Gait Kinematics: Anthropometric Characteristics and Global Running Pattern Matter.

biomechanics duty factor predictive equation running running speed stride frequency

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2020
Historique:
received: 03 11 2020
accepted: 04 12 2020
entrez: 25 1 2021
pubmed: 26 1 2021
medline: 26 1 2021
Statut: epublish

Résumé

Equations predicting stride frequency (SF) and duty factor (DF) solely based on running speed have been proposed. However, for a given speed, kinematics vary depending on the global running pattern (GRP), i.e., the overall individual movement while running, which depends on the vertical oscillation of the head, antero-posterior motion of the elbows, vertical pelvis position at ground contact, antero-posterior foot position at ground contact, and strike pattern. Hence, we first verified the validity of the aforementioned equations while accounting for GRP. Kinematics during three 50-m runs on a track (

Identifiants

pubmed: 33488407
doi: 10.3389/fphys.2020.625557
pmc: PMC7820750
doi:

Types de publication

Journal Article

Langues

eng

Pagination

625557

Informations de copyright

Copyright © 2021 Patoz, Lussiana, Gindre and Mourot.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Aurélien Patoz (A)

Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Research and Development Department, Volodalen Swiss Sport Lab, Aigle, Switzerland.

Thibault Lussiana (T)

Research and Development Department, Volodalen, Chavéria, France.
Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Health, Innovation Platform, University Bourgogne Franche-Comté, Besançon, France.

Cyrille Gindre (C)

Research and Development Department, Volodalen Swiss Sport Lab, Aigle, Switzerland.
Research and Development Department, Volodalen, Chavéria, France.

Laurent Mourot (L)

Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Health, Innovation Platform, University Bourgogne Franche-Comté, Besançon, France.
Division for Physical Education, Tomsk Polytechnic University, Tomsk, Russia.

Classifications MeSH