Cargando…
Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies
This study examined the reproducibility of GymAware, PUSH2 and Vmaxpro velocity monitoring devices during resistance training (RT). The sensitivity of these devices to detect the smallest changes in velocity that correspond to true changes in RT performance was also investigated. Fifty-one resistanc...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154341/ https://www.ncbi.nlm.nih.gov/pubmed/37130910 http://dx.doi.org/10.1038/s41598-023-34416-0 |
_version_ | 1785036107203739648 |
---|---|
author | Jukic, Ivan King, Andrew Sousa, Colby A. Prnjak, Katarina McGuigan, Michael R. |
author_facet | Jukic, Ivan King, Andrew Sousa, Colby A. Prnjak, Katarina McGuigan, Michael R. |
author_sort | Jukic, Ivan |
collection | PubMed |
description | This study examined the reproducibility of GymAware, PUSH2 and Vmaxpro velocity monitoring devices during resistance training (RT). The sensitivity of these devices to detect the smallest changes in velocity that correspond to true changes in RT performance was also investigated. Fifty-one resistance-trained men and women performed an incremental loading (1RM) test, and two repetitions to failure tests with different loads, 72 h apart. During all repetitions, mean velocity (MV) and peak velocity (PV) were simultaneously recorded by two devices of each brand. Overall, GymAware was the most reliable and sensitive device for detecting the smallest changes in RT performance, regardless of the velocity metric used. Vmaxpro can be considered as an equivalent, cheaper alternative to GymAware for RT monitoring and prescription, but only if the MV metric is used. Caution should be exercised when using PUSH2 in practice due to their comparatively higher, unacceptable measurement error and generally low sensitivity to detect changes in RT performance. Collectively, these findings support the use of MV and PV from GymAware and MV from Vmaxpro devices for RT monitoring and prescription due to their low magnitudes of error; thus, allowing for the detection of meaningful changes in neuromuscular status and functional performance during RT. |
format | Online Article Text |
id | pubmed-10154341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101543412023-05-04 Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies Jukic, Ivan King, Andrew Sousa, Colby A. Prnjak, Katarina McGuigan, Michael R. Sci Rep Article This study examined the reproducibility of GymAware, PUSH2 and Vmaxpro velocity monitoring devices during resistance training (RT). The sensitivity of these devices to detect the smallest changes in velocity that correspond to true changes in RT performance was also investigated. Fifty-one resistance-trained men and women performed an incremental loading (1RM) test, and two repetitions to failure tests with different loads, 72 h apart. During all repetitions, mean velocity (MV) and peak velocity (PV) were simultaneously recorded by two devices of each brand. Overall, GymAware was the most reliable and sensitive device for detecting the smallest changes in RT performance, regardless of the velocity metric used. Vmaxpro can be considered as an equivalent, cheaper alternative to GymAware for RT monitoring and prescription, but only if the MV metric is used. Caution should be exercised when using PUSH2 in practice due to their comparatively higher, unacceptable measurement error and generally low sensitivity to detect changes in RT performance. Collectively, these findings support the use of MV and PV from GymAware and MV from Vmaxpro devices for RT monitoring and prescription due to their low magnitudes of error; thus, allowing for the detection of meaningful changes in neuromuscular status and functional performance during RT. Nature Publishing Group UK 2023-05-02 /pmc/articles/PMC10154341/ /pubmed/37130910 http://dx.doi.org/10.1038/s41598-023-34416-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jukic, Ivan King, Andrew Sousa, Colby A. Prnjak, Katarina McGuigan, Michael R. Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title | Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title_full | Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title_fullStr | Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title_full_unstemmed | Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title_short | Implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
title_sort | implementing a velocity-based approach to resistance training: the reproducibility and sensitivity of different velocity monitoring technologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154341/ https://www.ncbi.nlm.nih.gov/pubmed/37130910 http://dx.doi.org/10.1038/s41598-023-34416-0 |
work_keys_str_mv | AT jukicivan implementingavelocitybasedapproachtoresistancetrainingthereproducibilityandsensitivityofdifferentvelocitymonitoringtechnologies AT kingandrew implementingavelocitybasedapproachtoresistancetrainingthereproducibilityandsensitivityofdifferentvelocitymonitoringtechnologies AT sousacolbya implementingavelocitybasedapproachtoresistancetrainingthereproducibilityandsensitivityofdifferentvelocitymonitoringtechnologies AT prnjakkatarina implementingavelocitybasedapproachtoresistancetrainingthereproducibilityandsensitivityofdifferentvelocitymonitoringtechnologies AT mcguiganmichaelr implementingavelocitybasedapproachtoresistancetrainingthereproducibilityandsensitivityofdifferentvelocitymonitoringtechnologies |