Methods for regulating and monitoring resistance training

Document Type

Journal Article

Publication Title

Journal of Human Kinetics

ISSN

16405544

Volume

74

Issue

1

First Page

23

Last Page

42

Publisher

De Gruyter

School

School of Medical and Health Sciences

RAS ID

35366

Comments

Helms, E. R., Kwan, K., Sousa, C. A., Cronin, J. B., Storey, A. G., & Zourdos, M. C. (2020). Methods for regulating and monitoring resistance training. Journal of Human Kinetics, 74(1), 23-42. https://johk.pl/?page_id=6965

Abstract

© 2020 Eric R. Helms, Kedric Kwan, Colby A. Sousa, John B. Cronin, Adam G. Storey, Michael C. Zourdos, published by Sciendo 2020. 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.

DOI

10.2478/hukin-2020-0011

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free_to_read

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Link to publisher version (DOI)

10.2478/hukin-2020-0011