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Validity of the iLOAD® app for resistance training monitoring

BACKGROUND: This study aimed (I) to assess the inter-rater agreement for measuring the mean velocity (MV) of the barbell with the iLOAD® app, and (II) to compare the magnitude of the MV and total work of a training session between the iLOAD® app and a linear encoder (reference method). METHOD: Sixte...

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Autores principales: de Sá, Evandro Claudino, Ricarte Medeiros, André, Santana Ferreira, André, García Ramos, Amador, Janicijevic, Danica, Boullosa, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689219/
https://www.ncbi.nlm.nih.gov/pubmed/31410306
http://dx.doi.org/10.7717/peerj.7372
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author de Sá, Evandro Claudino
Ricarte Medeiros, André
Santana Ferreira, André
García Ramos, Amador
Janicijevic, Danica
Boullosa, Daniel
author_facet de Sá, Evandro Claudino
Ricarte Medeiros, André
Santana Ferreira, André
García Ramos, Amador
Janicijevic, Danica
Boullosa, Daniel
author_sort de Sá, Evandro Claudino
collection PubMed
description BACKGROUND: This study aimed (I) to assess the inter-rater agreement for measuring the mean velocity (MV) of the barbell with the iLOAD® app, and (II) to compare the magnitude of the MV and total work of a training session between the iLOAD® app and a linear encoder (reference method). METHOD: Sixteen young healthy individuals (four women and 12 men) were tested in two sessions separated by 48 h. The 10 repetition maximum (RM) load was determined in the first testing session in the half squat exercise. The second testing session consisted of 3 sets of 10 repetitions during the half squat exercise performed against the 10RM load. Both the iLOAD® app and a linear encoder were used to calculate the MV and total work of each training set. MV was recorded with the iLOAD® app by two independent researchers to evaluate the inter-rater agreement. RESULTS: Trivial differences and nearly perfect correlations were observed between raters for the MV values collected under individual sets (effect size [ES] ≤ 0.02, r ≥ 0.987), as well as for the whole training session (ES = 0.01, r = 0.997). Trivial-small differences and nearly perfect correlations were observed between the iLOAD® app and the linear encoder (Chronojump, Barcelona, Spain) for MV (EV ≤ 0.25, r ≥ 0.903) and total work (ES ≤ 0.05, r ≥ 0.973). Bland-Altman plots did not reveal heteroscedasticity of the errors between the iLOAD® app and the linear encoder for MV (r(2) = 0.010) and total work (r(2) < 0.001). CONCLUSIONS: iLOAD® is a valid smartphone app which can provide real-time feedback of the MV and total work completed in a set of multiple repetitions in the half squat exercise.
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spelling pubmed-66892192019-08-13 Validity of the iLOAD® app for resistance training monitoring de Sá, Evandro Claudino Ricarte Medeiros, André Santana Ferreira, André García Ramos, Amador Janicijevic, Danica Boullosa, Daniel PeerJ Anatomy and Physiology BACKGROUND: This study aimed (I) to assess the inter-rater agreement for measuring the mean velocity (MV) of the barbell with the iLOAD® app, and (II) to compare the magnitude of the MV and total work of a training session between the iLOAD® app and a linear encoder (reference method). METHOD: Sixteen young healthy individuals (four women and 12 men) were tested in two sessions separated by 48 h. The 10 repetition maximum (RM) load was determined in the first testing session in the half squat exercise. The second testing session consisted of 3 sets of 10 repetitions during the half squat exercise performed against the 10RM load. Both the iLOAD® app and a linear encoder were used to calculate the MV and total work of each training set. MV was recorded with the iLOAD® app by two independent researchers to evaluate the inter-rater agreement. RESULTS: Trivial differences and nearly perfect correlations were observed between raters for the MV values collected under individual sets (effect size [ES] ≤ 0.02, r ≥ 0.987), as well as for the whole training session (ES = 0.01, r = 0.997). Trivial-small differences and nearly perfect correlations were observed between the iLOAD® app and the linear encoder (Chronojump, Barcelona, Spain) for MV (EV ≤ 0.25, r ≥ 0.903) and total work (ES ≤ 0.05, r ≥ 0.973). Bland-Altman plots did not reveal heteroscedasticity of the errors between the iLOAD® app and the linear encoder for MV (r(2) = 0.010) and total work (r(2) < 0.001). CONCLUSIONS: iLOAD® is a valid smartphone app which can provide real-time feedback of the MV and total work completed in a set of multiple repetitions in the half squat exercise. PeerJ Inc. 2019-08-07 /pmc/articles/PMC6689219/ /pubmed/31410306 http://dx.doi.org/10.7717/peerj.7372 Text en ©2019 de Sá 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 Anatomy and Physiology
de Sá, Evandro Claudino
Ricarte Medeiros, André
Santana Ferreira, André
García Ramos, Amador
Janicijevic, Danica
Boullosa, Daniel
Validity of the iLOAD® app for resistance training monitoring
title Validity of the iLOAD® app for resistance training monitoring
title_full Validity of the iLOAD® app for resistance training monitoring
title_fullStr Validity of the iLOAD® app for resistance training monitoring
title_full_unstemmed Validity of the iLOAD® app for resistance training monitoring
title_short Validity of the iLOAD® app for resistance training monitoring
title_sort validity of the iload® app for resistance training monitoring
topic Anatomy and Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689219/
https://www.ncbi.nlm.nih.gov/pubmed/31410306
http://dx.doi.org/10.7717/peerj.7372
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