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Relative load prediction by velocity and the omni-res 0-10 scale in parallel squat

Relative load prediction by velocity and the omni-res 0-10 scale in parallel squat

Naclerio, Fernando ORCID: 0000-0001-7405-4894 and Larumbe-Zabala, Eneko (2016) Relative load prediction by velocity and the omni-res 0-10 scale in parallel squat. Journal of Strength and Conditioning Research, 31 (6). pp. 1585-1591. ISSN 1064-8011 (Print), 1533-4287 (Online) (doi:10.1519/JSC.0000000000001601)

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Abstract

This study analyzed the possibility of using movement velocity and the perceived exertion as predictors of relative load in the parallel squat exercise. In order to determine the full load-velocity and load-perceived exertion relationships, 290 young, resistance-trained athletes (209 male and 81 female) performed a progressive strength test up to the one-repetition maximum. Longitudinal regression models were used to predict the relative load from the average velocity and the OMNI-RES 0-10 scale, considering sets as the time-related variable. Two adjusted predictive equations were developed from the association between the relative load and the average velocity or the perceived exertion expressed after performing several sets of 1 to 3 repetitions during the progressive test. The resulting two models were capable of estimating the relative load with an accuracy of 79% and 86% for the average velocity [Relative load (% 1RM) = 120.15 – 83.54 (AV)] and the exertion [Relative load (% 1RM) = 5.07 + 9.63 (RPE)] respectively. The strong association between relative load with average velocity and the perceived exertion support the use of both predictive variables to estimate strength performance in parallel squat.

Item Type: Article
Additional Information: Copyright (C) 2016 by the National Strength & Conditioning Association.
Uncontrolled Keywords: Strength test; Perceived exertion; Resistance training; One repetition maximum (1RM).
Subjects: Q Science > QP Physiology
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Science and Medicine in Sport and Exercise
Faculty of Engineering & Science > Department of Life & Sports Sciences
Last Modified: 17 Sep 2017 21:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/15945

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