Abstract

BackgroundThis 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).MethodSixteen 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.ResultsTrivial 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).ConclusionsiLOAD® 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.

Highlights

  • Resistance training (RT) is a fundamental part of training for competitive athletes (Suchomel, Nimphius & Stone, 2016) as well as for the general population

  • No significant differences and nearly perfect correlations were observed between raters for the mean velocity (MV) values collected under individual sets (p ≥ 0.38, ES ≤ 0.02, r ≥ 0.987) as well as for the whole training session (p = 0.38, ES = 0.01, r = 0.997)

  • Due to the very high inter-rater agreement reported above, the average value of both raters was considered to explore the concurrent validity of the iLOAD R app with respect to the linear encoder

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Summary

Introduction

Resistance training (RT) is a fundamental part of training for competitive athletes (Suchomel, Nimphius & Stone, 2016) as well as for the general population A wide range of tools are currently available for RT monitoring, including perceived exertion scales (Singh et al, 2007; Robertson et al, 2008), linear position transducers (Harris et al, 2010), force plates (Dugan et al, 2004), contact mats (Crewther et al, 2011), high-speed cameras (Sañudo et al, 2016), isokinetic dynamometers (Ratamess et al, 2016) or accelerometers (Balsalobre-Fernández et al, 2016) These tools are frequently used to evaluate the effect of RT programs. The second testing session consisted 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. ILOAD R 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 Conclusions. iLOAD R 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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