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Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds

BACKGROUND: The purpose of this study was to compare the effects of cluster (CS), rest redistribution (RR) and traditional (TS) set configurations on acute neuromuscular performance, and to determine the viability of using CS and RR as alternatives to training prescription based on velocity loss (VL...

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Autores principales: Jukic, Ivan, Helms, Eric R., McGuigan, Michael R., García-Ramos, Amador
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973460/
https://www.ncbi.nlm.nih.gov/pubmed/35368341
http://dx.doi.org/10.7717/peerj.13195
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author Jukic, Ivan
Helms, Eric R.
McGuigan, Michael R.
García-Ramos, Amador
author_facet Jukic, Ivan
Helms, Eric R.
McGuigan, Michael R.
García-Ramos, Amador
author_sort Jukic, Ivan
collection PubMed
description BACKGROUND: The purpose of this study was to compare the effects of cluster (CS), rest redistribution (RR) and traditional (TS) set configurations on acute neuromuscular performance, and to determine the viability of using CS and RR as alternatives to training prescription based on velocity loss (VL). METHODS: Thirty-one resistance-trained men performed, in a randomised order, three experimental sessions consisting of the squat (SQ) and bench press (BP) exercises performed against the 10-repetition maximum load using CS (three sets of six repetitions; 30 s of intra-set rest every two repetitions; 3 min of inter-set rest), RR (9 sets of two repetitions; 45 s of inter-set rest), and TS (3 sets of 6 repetitions; 3 min of inter-set rest), set configurations. RESULTS: Linear mixed-effects model analysis revealed that participants had significantly lower VL (p = 0.0005) during CS and RR than TS. Generalised mixed-effects model analysis yielded significant main effects of set structure (p < 0.0001; RR > CS > TS), exercise (p < 0.0001; SQ > BP), and set number (p = 0.0006; Set 1 > Set 2 > Set 3) for maintaining repetition velocity above a 20% VL threshold. CONCLUSIONS: These findings suggest that CS and RR are effective at reducing the overall fatigue-included decrease in velocity compared to TS and allow the majority of repetitions to be completed with less than 20% VL. Therefore, both CS and RR can be used to manage fatigue during resistance training, and as alternatives to training prescription method based on 20% VL threshold.
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spelling pubmed-89734602022-04-02 Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds Jukic, Ivan Helms, Eric R. McGuigan, Michael R. García-Ramos, Amador PeerJ Kinesiology BACKGROUND: The purpose of this study was to compare the effects of cluster (CS), rest redistribution (RR) and traditional (TS) set configurations on acute neuromuscular performance, and to determine the viability of using CS and RR as alternatives to training prescription based on velocity loss (VL). METHODS: Thirty-one resistance-trained men performed, in a randomised order, three experimental sessions consisting of the squat (SQ) and bench press (BP) exercises performed against the 10-repetition maximum load using CS (three sets of six repetitions; 30 s of intra-set rest every two repetitions; 3 min of inter-set rest), RR (9 sets of two repetitions; 45 s of inter-set rest), and TS (3 sets of 6 repetitions; 3 min of inter-set rest), set configurations. RESULTS: Linear mixed-effects model analysis revealed that participants had significantly lower VL (p = 0.0005) during CS and RR than TS. Generalised mixed-effects model analysis yielded significant main effects of set structure (p < 0.0001; RR > CS > TS), exercise (p < 0.0001; SQ > BP), and set number (p = 0.0006; Set 1 > Set 2 > Set 3) for maintaining repetition velocity above a 20% VL threshold. CONCLUSIONS: These findings suggest that CS and RR are effective at reducing the overall fatigue-included decrease in velocity compared to TS and allow the majority of repetitions to be completed with less than 20% VL. Therefore, both CS and RR can be used to manage fatigue during resistance training, and as alternatives to training prescription method based on 20% VL threshold. PeerJ Inc. 2022-03-29 /pmc/articles/PMC8973460/ /pubmed/35368341 http://dx.doi.org/10.7717/peerj.13195 Text en © 2022 Jukic et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Kinesiology
Jukic, Ivan
Helms, Eric R.
McGuigan, Michael R.
García-Ramos, Amador
Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title_full Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title_fullStr Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title_full_unstemmed Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title_short Using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
title_sort using cluster and rest redistribution set structures as alternatives to resistance training prescription method based on velocity loss thresholds
topic Kinesiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973460/
https://www.ncbi.nlm.nih.gov/pubmed/35368341
http://dx.doi.org/10.7717/peerj.13195
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