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 Sixteen...

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Main Authors: Evandro Claudino de Sá, André Ricarte Medeiros, André Santana Ferreira, Amador García Ramos, Danica Janicijevic, Daniel Boullosa
Format: Article
Language:English
Published: PeerJ Inc. 2019-08-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/7372.pdf
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author Evandro Claudino de Sá
André Ricarte Medeiros
André Santana Ferreira
Amador García Ramos
Danica Janicijevic
Daniel Boullosa
author_facet Evandro Claudino de Sá
André Ricarte Medeiros
André Santana Ferreira
Amador García Ramos
Danica Janicijevic
Daniel Boullosa
author_sort Evandro Claudino de Sá
collection DOAJ
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 (r2 = 0.010) and total work (r2 < 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 doaj.art-2d202f91e5144ab8ba4e2aec1b07bf622023-12-03T11:14:35ZengPeerJ Inc.PeerJ2167-83592019-08-017e737210.7717/peerj.7372Validity of the iLOAD® app for resistance training monitoringEvandro Claudino de Sá0André Ricarte Medeiros1André Santana Ferreira2Amador García Ramos3Danica Janicijevic4Daniel Boullosa5iLOAD Solutions, Brasilia, BraziliLOAD Solutions, Brasilia, BraziliLOAD Solutions, Brasilia, BrazilDepartment of Sports Sciences and Physical Conditioning, Faculty of Education, Universidad Católica de la Santísima Concepción, Concepción, ChileFaculty of sport and physical education, The Research Centre, University of Belgrade, Belgrade, SerbiaiLOAD Solutions, Brasilia, BrazilBackground 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 (r2 = 0.010) and total work (r2 < 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.https://peerj.com/articles/7372.pdfSmartphone applicationSquatTotal workVelocity-based training
spellingShingle Evandro Claudino de Sá
André Ricarte Medeiros
André Santana Ferreira
Amador García Ramos
Danica Janicijevic
Daniel Boullosa
Validity of the iLOAD® app for resistance training monitoring
PeerJ
Smartphone application
Squat
Total work
Velocity-based training
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 r app for resistance training monitoring
topic Smartphone application
Squat
Total work
Velocity-based training
url https://peerj.com/articles/7372.pdf
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