Validity of the iLOAD® app for resistance training monitoring
| Autor: | Daniel Boullosa, André Santana Ferreira, Danica Janicijevic, Amador García Ramos, Evandro Claudino de Sá, André R. Medeiros |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Total work
Training set General Neuroscience lcsh:R Resistance training Repetition maximum lcsh:Medicine Squat 030229 sport sciences General Medicine Smartphone application General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Velocity-based training Healthy individuals Smartphone app Statistics General Agricultural and Biological Sciences 030217 neurology & neurosurgery Mathematics |
| Zdroj: | PeerJ, Vol 7, p e7372 (2019) Digibug. Repositorio Institucional de la Universidad de Granada instname |
| ISSN: | 2167-8359 |
| Popis: | We would like to thank Erick Carlos da Cunha Totó for his help during data collection and Jair Barbosa of BEPid-UCB for his support from the start of this project. 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. |
| Databáze: | OpenAIRE |
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