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Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters

Maneuvering a motorcycle in racing conditions or for prolonged time is sufficiently demanding that on many occasions forearm muscles reach a state of functional failure when riders cannot properly brake or operate the throttle. This study intends to discriminate which ones of the several dynamometri...

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Autores principales: Marina, Michel, Torrado, Priscila, Baudry, Stéphane, Duchateau, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864446/
https://www.ncbi.nlm.nih.gov/pubmed/33544741
http://dx.doi.org/10.1371/journal.pone.0246242
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author Marina, Michel
Torrado, Priscila
Baudry, Stéphane
Duchateau, Jacques
author_facet Marina, Michel
Torrado, Priscila
Baudry, Stéphane
Duchateau, Jacques
author_sort Marina, Michel
collection PubMed
description Maneuvering a motorcycle in racing conditions or for prolonged time is sufficiently demanding that on many occasions forearm muscles reach a state of functional failure when riders cannot properly brake or operate the throttle. This study intends to discriminate which ones of the several dynamometric parameters used in the literature to characterize the Force-time (F-t) curve during voluntary contractions are more sensitive to neuromuscular fatigue in simulated motorcycle-riding conditions. Thirty-three adults performed an intermittent fatiguing protocol (IFP) that simulated the brake-pulling and throttle-twisting actions, by using a hydraulic system equipped with a pressure sensor. Sixty pressure-time (P-t) curve parameters, including the rate of pressure development (RPD) and area under the curve were measured to characterize the time course of the braking maximal voluntary contraction (MVC). Two types of variables were used to analyze the P-t curve: 1) Times interval (from 0 to 30-50-100-500-1000 and 2000 ms); 2) Percentages of MVC (10-30-60-90%MVC). Overall significant (p ≤ 0.05) fatigue-related declines were observed only at time intervals longer than 100 ms and contraction intensities higher than 30%MVC. Strong and significant linear declines (p < 0.001) were observed at 500 ms and 1 s for normalized pressures, as well as for the ratio RPD(60%MVC)/MVC (p < 0.003) throughout the IFP. Our results suggest considering RPD at time windows of 0–500 ms and 0–1 s, and contraction intensities comprised between 30% and 60% of MVC, as more suitable criteria to study fatigue-related decrements in performance rather than the classical MVC force.
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spelling pubmed-78644462021-02-12 Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters Marina, Michel Torrado, Priscila Baudry, Stéphane Duchateau, Jacques PLoS One Research Article Maneuvering a motorcycle in racing conditions or for prolonged time is sufficiently demanding that on many occasions forearm muscles reach a state of functional failure when riders cannot properly brake or operate the throttle. This study intends to discriminate which ones of the several dynamometric parameters used in the literature to characterize the Force-time (F-t) curve during voluntary contractions are more sensitive to neuromuscular fatigue in simulated motorcycle-riding conditions. Thirty-three adults performed an intermittent fatiguing protocol (IFP) that simulated the brake-pulling and throttle-twisting actions, by using a hydraulic system equipped with a pressure sensor. Sixty pressure-time (P-t) curve parameters, including the rate of pressure development (RPD) and area under the curve were measured to characterize the time course of the braking maximal voluntary contraction (MVC). Two types of variables were used to analyze the P-t curve: 1) Times interval (from 0 to 30-50-100-500-1000 and 2000 ms); 2) Percentages of MVC (10-30-60-90%MVC). Overall significant (p ≤ 0.05) fatigue-related declines were observed only at time intervals longer than 100 ms and contraction intensities higher than 30%MVC. Strong and significant linear declines (p < 0.001) were observed at 500 ms and 1 s for normalized pressures, as well as for the ratio RPD(60%MVC)/MVC (p < 0.003) throughout the IFP. Our results suggest considering RPD at time windows of 0–500 ms and 0–1 s, and contraction intensities comprised between 30% and 60% of MVC, as more suitable criteria to study fatigue-related decrements in performance rather than the classical MVC force. Public Library of Science 2021-02-05 /pmc/articles/PMC7864446/ /pubmed/33544741 http://dx.doi.org/10.1371/journal.pone.0246242 Text en © 2021 Marina et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marina, Michel
Torrado, Priscila
Baudry, Stéphane
Duchateau, Jacques
Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title_full Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title_fullStr Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title_full_unstemmed Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title_short Forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
title_sort forearm muscles fatigue induced by repetitive braking on a motorcycle is best discriminated by specific kinetic parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864446/
https://www.ncbi.nlm.nih.gov/pubmed/33544741
http://dx.doi.org/10.1371/journal.pone.0246242
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