Article
Validity of the iLOAD® app for resistance training monitoring
Registro en:
PEERJ, Volume 7, article e7372, August 2019, pages: 1-14
2167-8359
10.7717/peerj.7372
Autor
De Sá, Evandro Claudino
Medeiros, Andre Ricarte
Ferreira, Andre Santana
García Ramos, Amador
Janicijevic, Danica
Boullosa, Daniel
Resumen
Artículo de publicación WOS Background. This study aimed (I) to assess the inter-rater agreement for measuring themeanvelocity(MV)ofthebarbellwiththeiLOAD R app,and(II)tocomparethe magnitude of the MV and total work of a training session between the iLOAD R appand a linear encoder (reference method). Method. Sixteen young healthy individuals (four women and 12 men) were tested in twosessionsseparatedby48h.The10repetitionmaximum(RM)loadwasdetermined inthefirsttestingsessioninthehalfsquatexercise.Thesecondtestingsessionconsisted of 3 sets of 10 repetitions during the half squat exercise performed against the 10RM load. Both the iLOAD R app and a linear encoder were used to calculate the MV and total work of each training set. MV was recorded with the iLOAD R app by twoindependent researchers to evaluate the inter-rater agreement. Results.Trivialdifferencesandnearlyperfectcorrelationswereobservedbetweenraters fortheMVvaluescollectedunderindividualsets(effectsize[ES]≤0.02,r≥0.987),as well as for the whole training session (ES=0.01, r=0.997). Trivial-small differences andnearlyperfectcorrelationswereobservedbetweentheiLOAD R appandthelinearencoder( Chronojump,Barcelona,Spain)forMV(EV ≤0.25,r≥0.903)andtotalwork( ES≤0.05, r ≥0.973). Bland-Altman plots did not reveal heteroscedasticity of the errorsbetweentheiLOAD R appandthelinearencoderforMV(r2=0.010)andtotalwork ( r2 <0.001). Conclusions.iLOAD R isavalidsmartphoneappwhichcanprovidereal-timefeedback of the MV and total work completed in a set of multiple repetitions in the half squat exercise.