Neuromuscular capabilities in top-level weightlifters and their association with weightlifting performance

Document Type

Journal Article

Publication Title

Applied Sciences (Switzerland)

Volume

14

Issue

9

Publisher

MDPI

School

School of Medical and Health Sciences

RAS ID

71481

Funders

Universidad Camilo José Cela

Comments

Soriano, M. A., Flores, F. J., Lama-Arenales, J., Fernández-del-Olmo, M., & Comfort, P. (2024). Neuromuscular capabilities in top-level weightlifters and their association with weightlifting performance. Applied Sciences, 14(9), 3762. https://doi.org/10.3390/app14093762

Abstract

The aim of this study was to determine the associations between the front and back squat, countermovement jump (CMJ) and deep squat jump (DSJ) force–time metrics, and weightlifting performance in top-level weightlifters. Thirteen top-level weightlifters who classified for the World Championship 2023 participated. The heaviest successful snatch and clean and jerk were recorded within a preparation session as performance indicators. The front and back squat one-repetition maximums (1RMs) were evaluated in separate training sessions. The average of three maximum CMJs and DSJs were recorded using a force plate, and jump height, propulsive net impulse, and peak power were calculated for further analysis. Pearson’s correlation coefficients were used to determine the associations between variables. Statistical significance was set at p ≤ 0.05. The front and back squat 1RMs were significant and nearly perfectly associated with weightlifting performance (p < 0.001, r = 0.98–0.99). CMJ and DSJ propulsive net impulse displayed nearly perfect associations with weightlifting performance (p < 0.001, r = 0.96–0.99), while jump height is a less promising metric to assess the weightlifters’ ballistic capabilities. This study reinforces that lower body maximum strength and ballistic capabilities are closely associated with top-level weightlifters’ performance and are of practical importance to monitor their neuromuscular function.

DOI

10.3390/app14093762

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