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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6689219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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