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Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold
Cluster sets allow for velocity and power output maintenance, but the literature routinely uses highly fatiguing traditional set protocols. Although such studies have merit, others suggest fatigue should be avoided when training to improve power output, making those cluster set studies less practica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257924/ https://www.ncbi.nlm.nih.gov/pubmed/30475910 http://dx.doi.org/10.1371/journal.pone.0208035 |
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author | Tufano, James J. Halaj, Matej Kampmiller, Tomas Novosad, Adrian Buzgo, Gabriel |
author_facet | Tufano, James J. Halaj, Matej Kampmiller, Tomas Novosad, Adrian Buzgo, Gabriel |
author_sort | Tufano, James J. |
collection | PubMed |
description | Cluster sets allow for velocity and power output maintenance, but the literature routinely uses highly fatiguing traditional set protocols. Although such studies have merit, others suggest fatigue should be avoided when training to improve power output, making those cluster set studies less practical. Therefore, the purpose of this study was to compare these set structures when truncating sets using a power-based threshold. Nine males (23.4 ± 0.6 yr) with various sport backgrounds performed 6 sets of back squats with individualized loads that elicited the greatest mean power (MPmax) output (112.7 ± 12.1% of body mass). Each set during the traditional set (TS) protocol included as many repetitions as possible until two consecutive repetitions dropped below 90% MPmax, which was followed by 120 s inter-set rest. The design was identical for cluster sets (CS) but with an additional 20 s intra-set rest after every 2 repetitions. The number of repetitions performed, mean velocity, and mean power output, were analyzed using 2(protocol)*6(set) repeated measures ANOVA. The number of repetitions during CS (51.8 ± 14.4) was greater than TS (31.9 ± 3.7) (p = 0.001), but the average velocity (CS = 0.711 ± 0.069, TS = 0.716 ± 0.081 m·s(-1); p = 0.732) and power output (CS = 630.3 ± 59.8, TS = 636.0 ± 84.3 W; p = 0.629) of those repetitions were similar. These data indicate that CS are a viable option for increasing training volume during contemporary training where sets are ended when repetitions drop below velocity or power thresholds. |
format | Online Article Text |
id | pubmed-6257924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62579242018-12-06 Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold Tufano, James J. Halaj, Matej Kampmiller, Tomas Novosad, Adrian Buzgo, Gabriel PLoS One Research Article Cluster sets allow for velocity and power output maintenance, but the literature routinely uses highly fatiguing traditional set protocols. Although such studies have merit, others suggest fatigue should be avoided when training to improve power output, making those cluster set studies less practical. Therefore, the purpose of this study was to compare these set structures when truncating sets using a power-based threshold. Nine males (23.4 ± 0.6 yr) with various sport backgrounds performed 6 sets of back squats with individualized loads that elicited the greatest mean power (MPmax) output (112.7 ± 12.1% of body mass). Each set during the traditional set (TS) protocol included as many repetitions as possible until two consecutive repetitions dropped below 90% MPmax, which was followed by 120 s inter-set rest. The design was identical for cluster sets (CS) but with an additional 20 s intra-set rest after every 2 repetitions. The number of repetitions performed, mean velocity, and mean power output, were analyzed using 2(protocol)*6(set) repeated measures ANOVA. The number of repetitions during CS (51.8 ± 14.4) was greater than TS (31.9 ± 3.7) (p = 0.001), but the average velocity (CS = 0.711 ± 0.069, TS = 0.716 ± 0.081 m·s(-1); p = 0.732) and power output (CS = 630.3 ± 59.8, TS = 636.0 ± 84.3 W; p = 0.629) of those repetitions were similar. These data indicate that CS are a viable option for increasing training volume during contemporary training where sets are ended when repetitions drop below velocity or power thresholds. Public Library of Science 2018-11-26 /pmc/articles/PMC6257924/ /pubmed/30475910 http://dx.doi.org/10.1371/journal.pone.0208035 Text en © 2018 Tufano 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 Tufano, James J. Halaj, Matej Kampmiller, Tomas Novosad, Adrian Buzgo, Gabriel Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title | Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title_full | Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title_fullStr | Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title_full_unstemmed | Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title_short | Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold |
title_sort | cluster sets vs. traditional sets: levelling out the playing field using a power-based threshold |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257924/ https://www.ncbi.nlm.nih.gov/pubmed/30475910 http://dx.doi.org/10.1371/journal.pone.0208035 |
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