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Methods for Regulating and Monitoring Resistance Training

Individualisation can improve resistance training prescription. This is accomplished via monitoring or autoregulating training. Autoregulation adjusts variables at an individualised pace per performance, readiness, or recovery. Many autoregulation and monitoring methods exist; therefore, this review...

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Autores principales: Helms, Eric R., Kwan, Kedric, Sousa, Colby A., Cronin, John B., Storey, Adam G., Zourdos, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706636/
https://www.ncbi.nlm.nih.gov/pubmed/33312273
http://dx.doi.org/10.2478/hukin-2020-0011
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author Helms, Eric R.
Kwan, Kedric
Sousa, Colby A.
Cronin, John B.
Storey, Adam G.
Zourdos, Michael C.
author_facet Helms, Eric R.
Kwan, Kedric
Sousa, Colby A.
Cronin, John B.
Storey, Adam G.
Zourdos, Michael C.
author_sort Helms, Eric R.
collection PubMed
description Individualisation can improve resistance training prescription. This is accomplished via monitoring or autoregulating training. Autoregulation adjusts variables at an individualised pace per performance, readiness, or recovery. Many autoregulation and monitoring methods exist; therefore, this review’s objective was to examine approaches intended to optimise adaptation. Up to July 2019, PubMed, Medline, SPORTDiscus, Scopus and CINAHL were searched. Only studies on methods of athlete monitoring useful for resistance-training regulation, or autoregulated training methods were included. Eleven monitoring and regulation themes emerged across 90 studies. Some physiological, performance, and perceptual measures correlated strongly (r ≥ 0.68) with resistance training performance. Testosterone, cortisol, catecholamines, cell-free DNA, jump height, throwing distance, barbell velocity, isometric and dynamic peak force, maximal voluntary isometric contractions, and sessional, repetitions in reserve-(RIR) based, and post-set Borg-scale ratings of perceived exertion (RPE) were strongly associated with training performance, respectively. Despite strong correlations, many physiological and performance methods are logistically restrictive or limited to lab-settings, such as blood markers, electromyography or kinetic measurements. Some practical performance tests such as jump height or throw distance may be useful, low-risk stand-ins for maximal strength tests. Performance-based individualisation of load progression, flexible training configurations, and intensity and volume modifications based on velocity and RIR-based RPE scores are practical, reliable and show preliminary utility for enhancing performance.
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spelling pubmed-77066362020-12-11 Methods for Regulating and Monitoring Resistance Training Helms, Eric R. Kwan, Kedric Sousa, Colby A. Cronin, John B. Storey, Adam G. Zourdos, Michael C. J Hum Kinet Resistance Training in Health and Sports Performance Individualisation can improve resistance training prescription. This is accomplished via monitoring or autoregulating training. Autoregulation adjusts variables at an individualised pace per performance, readiness, or recovery. Many autoregulation and monitoring methods exist; therefore, this review’s objective was to examine approaches intended to optimise adaptation. Up to July 2019, PubMed, Medline, SPORTDiscus, Scopus and CINAHL were searched. Only studies on methods of athlete monitoring useful for resistance-training regulation, or autoregulated training methods were included. Eleven monitoring and regulation themes emerged across 90 studies. Some physiological, performance, and perceptual measures correlated strongly (r ≥ 0.68) with resistance training performance. Testosterone, cortisol, catecholamines, cell-free DNA, jump height, throwing distance, barbell velocity, isometric and dynamic peak force, maximal voluntary isometric contractions, and sessional, repetitions in reserve-(RIR) based, and post-set Borg-scale ratings of perceived exertion (RPE) were strongly associated with training performance, respectively. Despite strong correlations, many physiological and performance methods are logistically restrictive or limited to lab-settings, such as blood markers, electromyography or kinetic measurements. Some practical performance tests such as jump height or throw distance may be useful, low-risk stand-ins for maximal strength tests. Performance-based individualisation of load progression, flexible training configurations, and intensity and volume modifications based on velocity and RIR-based RPE scores are practical, reliable and show preliminary utility for enhancing performance. Sciendo 2020-08-31 /pmc/articles/PMC7706636/ /pubmed/33312273 http://dx.doi.org/10.2478/hukin-2020-0011 Text en © 2020 Eric R. Helms, Kedric Kwan, Colby A. Sousa, John B. Cronin, Adam G. Storey, Michael C. Zourdos, published by Sciendo http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Resistance Training in Health and Sports Performance
Helms, Eric R.
Kwan, Kedric
Sousa, Colby A.
Cronin, John B.
Storey, Adam G.
Zourdos, Michael C.
Methods for Regulating and Monitoring Resistance Training
title Methods for Regulating and Monitoring Resistance Training
title_full Methods for Regulating and Monitoring Resistance Training
title_fullStr Methods for Regulating and Monitoring Resistance Training
title_full_unstemmed Methods for Regulating and Monitoring Resistance Training
title_short Methods for Regulating and Monitoring Resistance Training
title_sort methods for regulating and monitoring resistance training
topic Resistance Training in Health and Sports Performance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706636/
https://www.ncbi.nlm.nih.gov/pubmed/33312273
http://dx.doi.org/10.2478/hukin-2020-0011
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