Literature DB >> 18579903

Power-time, force-time, and velocity-time curve analysis during the jump squat: impact of load.

Prue Cormie1, Jeffrey M McBride, Grant O McCaulley.   

Abstract

The purpose of this investigation was to examine the impact of load on the power-, force- and velocity-time curves during the jump squat. The analysis of these curves for the entire movement at a sampling frequency of 200-500 Hz averaged across 18 untrained male subjects is the most novel aspect of this study. Jump squat performance was assessed in a randomized fashion across five different external loads: 0, 20, 40, 60, and 80 kg (equivalent to 0 +/- 0, 18 +/- 4, 37 +/- 8, 55 +/- 12, 74 +/- 15% of 1RM, respectively). The 0-kg loading condition (i.e., body mass only) was the load that maximized peak power output, displaying a significantly (p <or=.05) greater value than the 40, 60, and 80 kg loads. The shape of the force-, power-, and velocity-time curves changed significantly as the load applied to the jump squat increased. There was a significantly greater rate of power development in the 0 kg load in comparison with all other loads examined. As the first comprehensive illustration of how the entire power-, force-, and velocity-time curves change across various loading conditions, this study provides extensive evidence that a load equaling an individuals body mass (i.e., external load = 0 kg) maximizes power output in untrained individuals during the jump squat.

Mesh:

Year:  2008        PMID: 18579903     DOI: 10.1123/jab.24.2.112

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  19 in total

1.  Mechanical efficiency and force–time curve variation during repetitive jumping in trained and untrained jumpers.

Authors:  Jeffrey M McBride; James G Snyder
Journal:  Eur J Appl Physiol       Date:  2012-10       Impact factor: 3.078

2.  The Effects of Body Mass on Optimal Load for Power During Resistance Training.

Authors:  Li Li
Journal:  Sports Med       Date:  2016-03       Impact factor: 11.136

3.  Authors' Reply to Li: The Effects of Body Mass on Optimal Load for Power During Resistance Training.

Authors:  Marco Antonio Soriano-Rodríguez; Pedro Jiménez-Reyes; Matthew R Rhea; Pedro J Marín
Journal:  Sports Med       Date:  2016-03       Impact factor: 11.136

Review 4.  Body mass maximizes power output in human jumping: a strength-independent optimum loading behavior.

Authors:  Slobodan Jaric; Goran Markovic
Journal:  Eur J Appl Physiol       Date:  2013-08-13       Impact factor: 3.078

5.  Training at the optimum power zone produces similar performance improvements to traditional strength training.

Authors:  Irineu Loturco; Carlos Ugrinowitsch; Hamilton Roschel; Valmor Tricoli; Juan José González-Badillo
Journal:  J Sports Sci Med       Date:  2013-03-01       Impact factor: 2.988

6.  A comparison of the kinematics, kinetics and muscle activity between pneumatic and free weight resistance.

Authors:  David Michael Frost; John Barry Cronin; Robert Usher Newton
Journal:  Eur J Appl Physiol       Date:  2008-10-01       Impact factor: 3.078

Review 7.  Developing maximal neuromuscular power: part 2 - training considerations for improving maximal power production.

Authors:  Prue Cormie; Michael R McGuigan; Robert U Newton
Journal:  Sports Med       Date:  2011-02-01       Impact factor: 11.136

8.  The Optimal Load for Maximal Power Production During Lower-Body Resistance Exercises: A Meta-Analysis.

Authors:  Marco A Soriano; Pedro Jiménez-Reyes; Matthew R Rhea; Pedro J Marín
Journal:  Sports Med       Date:  2015-08       Impact factor: 11.136

9.  Impact-Induced Muscle Damage: Performance Implications in Response to a Novel Collision Simulator and Associated Timeline of Recovery.

Authors:  Mitchell Naughton; Joanna Miller; Gary J Slater
Journal:  J Sports Sci Med       Date:  2018-08-14       Impact factor: 2.988

10.  Power-Time Curve Comparison between Weightlifting Derivatives.

Authors:  Timothy J Suchomel; Christopher J Sole
Journal:  J Sports Sci Med       Date:  2017-08-08       Impact factor: 2.988

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