Prediction of Percentage of Completed Repetitions to Failure Using Velocity Loss: Does the Relationship Remain Stable throughout a Training Session?

Author:

Pérez-Castilla Alejandro1ORCID,Şentürk Deniz2ORCID,Akyildiz Zeki3ORCID,Jukic Ivan45,García-Ramos Amador67ORCID

Affiliation:

1. Department of Education, Faculty of Education Sciences, University of Almería, 04120 Almería, Spain

2. School of Physical Education of Sports Department, Physical Education and Sports, Istanbul Gelişim University, Istanbul 34000, Turkey

3. Department of Coaching Education, Sports Science Faculty, Afyon Kocatepe University, Afyonkarahisar 03204, Turkey

4. Division of Sport and Exercise Sciences, School of Applied Sciences, Abertay University, Dundee DD1 1HG, UK

5. Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland 1010, New Zealand

6. Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18012 Granada, Spain

7. Department of Sports Sciences and Physical Conditioning, Faculty of Education, Universidad Católica de la Santísima Concepción, Concepción 4070129, Chile

Abstract

This study explored the goodness-of-fit and the effect of fatigue on the precision of both generalized and individualized relationships between the velocity loss (%VL) magnitude and the percentage of completed repetitions with respect to the maximal that can be performed to failure (%Rep) in the Smith machine parallel back-squat exercise. Twenty-nine resistance-trained males completed four sets to failure, with a rest period of 2 min, against 75% of the one-repetition maximum. Generalized and individualized %Rep-%VL equations determined in the first set were used to estimate %Rep when a 20%VL was achieved during the three successive sets. Individualized %Rep-%VL relationships (R2 = 0.84–0.99) showed a greater goodness-of-fit than the generalized %Rep-%VL relationship (R2 = 0.82). However, the accuracy in the %Rep estimation was always low (absolute errors > 10%) and comparable for both regression models (p = 0.795). %Rep was progressively overestimated when increasing the number of sets using the MVfastest of the first set (from 15% to 45%), but no meaningful overestimations were observed using the MVfastest of each set (~2%). In conclusion, neither the generalized nor the individual %Rep-%VL equations provide accurate estimations of %Rep during the parallel back-squat exercise executed under fatigue.

Publisher

MDPI AG

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