Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
Current Issue Manuscripts accepted About the journal Editorial board Abstracting and indexing Archive Ethical standards and procedures Contact Instructions for authors Journal's Reviewers Special Information
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
2/2023
vol. 40
 
Share:
Share:
abstract:
Original paper

The load-velocity relationship in the jump squat exercise

Irineu Loturco
1, 2, 3
,
Michael R. McGuigan
4, 5
,
Lucas A. Pereira
1, 2
,
Fernando Pareja-Blanco
6

  1. NAR – Nucleus of High Performance in Sport, São Paulo, Brazil
  2. Department of Human Movement Sciences, Federal University of São Paulo, São Paulo, Brazil
  3. University of South Wales, Pontypridd, Wales, United Kingdom
  4. Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand
  5. School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
  6. Physical Performance & Sports Research Center, Pablo de Olavide University, Seville, Spain
Biol Sport. 2023;40(2):611–614
Online publish date: 2022/09/06
View full text Get citation
 
PlumX metrics:
The purpose of this study was to test the load-velocity relationship in the jump squat (JS) exercise using three different velocity parameters (mean velocity [MV], mean propulsive velocity [MPV], and peak velocity [PV]). Twenty-six male rugby union players (24.3 ± 3.9 years; 1.81 ± 0.09 m; 101.3 ± 15.4 kg) performed a progressive loading test in the JS with loads corresponding to 20, 40, 60, and 80% of the half-squat 1RM (equivalent to 24, 46, 70, and 94% of the estimated JS-1RM). MV, MPV, and PV were continuously recorded during all attempts using a linear velocity transducer. Linear regression models were used to determine the relationships between JS loads and MV, MPV, and PV. Bar-velocity outputs demonstrated high levels of consistency and reliability (coefficient of variation ≤ 5% and intraclass correlation coefficient ≥ 0.90). The predictive power of MV, MPV, and PV were ≥ 91%, for all tested variables (P < 0.0001). The equations and bar-velocity values provided in this study can be used by coaches to precisely determine and prescribe JS training loads, from verylight to heavy loading conditions (i.e., ~20–100% JS 1RM).
keywords:

athletic performance, athletes, muscle strength, resistance training, team sports, loaded jumps

 
Quick links
© 2024 Termedia Sp. z o.o.
Developed by Bentus.