Monitoring Bar Velocity to Quantify Fatigue in Resistance Training

Author:

Moura Raony Espíndola1,Bezerra da Silva Rodrigo Fabio2,Gomes Lucas Morais de Souza1,Ramos da Silva José Leonardo1,Henrique Rafael dos Santos1,Sousa Filipe Antônio de Barros3,Fonseca Fabiano de Souza4

Affiliation:

1. Physical Education, Federal University of Pernambuco, Recife, Brazil

2. Graduate Program in Physical Education Federal University of Pernambuco, Recife, Brazil, Universidade Federal de Pernambuco, Recife, Brazil

3. Institute of Physical Education and Sports, Federal University of Alagoas, Maceio, Brazil

4. Federal Rural University of Pernambuco, Recife, Brazil, Universidade Federal Rural de Pernambuco, Recife, Brazil

Abstract

AbstractWe analyzed the effects of load magnitude and bar velocity variables on sensitivity to fatigue. Seventeen resistance-trained men (age=25.7±4.9 years; height=177.0±7.2 cm; body mass=77.7±12.3 kg; back-squat 1RM=145.0±33.9 kg; 1RM/body mass=1.86) participated in the study. Pre- and post-exercise changes in the mean propulsive velocity (MPV) and peak velocity (PV) in the back-squat at different intensities were compared with variations in the countermovement jump (CMJ). CMJ height decreased significantly from pre- to post-exercise (∆%=−7.5 to −10.4; p<0.01; ES=0.37 to 0.60). Bar velocity (MPV and PV) decreased across all loads (∆%=−4.0 to −12.5; p<0.01; ES=0.32 to 0.66). The decrease in performance was similar between the CMJ, MPV (40% and 80% 1RM; p=1.00), and PV (80% 1RM; p=1.00). The magnitude of reduction in CMJ performance was greater than MPV (60% 1RM; p=0.05) and PV (40% and 60% 1RM; p<0.01) at the post-exercise moment. Low systematic bias and acceptable levels of agreement were only found between CMJ and MPV at 40% and 80% 1RM (bias=0.35 to 1.59; ICC=0.51 to 0.71; CV=5.1% to 8.5%). These findings suggest that the back-squat at 40% or 80% 1RM using MPV provides optimal sensitivity to monitor fatigue through changes in bar velocity.

Publisher

Georg Thieme Verlag KG

Reference45 articles.

1. Training monitoring for resistance exercise: Theory and applications;B R Scott;Sports Med,2016

2. Neurobiology of muscle fatigue;R M Enoka;J Appl Physiol,1992

3. Short-term recovery following resistance exercise leading or not to failure;J J González-Badillo;Int J Sports Med,2016

4. Velocity loss as an indicator of neuromuscular fatigue during resistance training;L Sánchez-Medina;Med Sci Sports Exerc,2011

5. A framework for understanding the training process leading to elite performance;D J Smith;Sports Med,2003

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3