Literature DB >> 19077740

Power-time, force-time, and velocity-time curve analysis of the countermovement jump: impact of training.

Prue Cormie1, Jeffrey M McBride, Grant O McCaulley.   

Abstract

The purpose of this investigation was to examine the impact of training on the power-, force-, and velocity-time curves of the countermovement jump (CMJ) through both cross-sectional and longitudinal comparisons. The most novel aspect of this study was the analysis of these curves for the entire movement at a sampling frequency of 386-506 Hz averaged across 30 subjects. Thirty subjects, all men, participated in this investigation and included 12 athletes and 18 untrained men. Two major comparisons were conducted: 1) an acute, cross-sectional examination comparing experienced jumpers (jump height > 0.50 m; n = 12 men's athletes) with nonjumpers (jump height < 0.50 m; n = 14 untrained men), and 2) a longitudinal examination comparing performance before and after 12 weeks of power training (training group n = 10 untrained men; control group n = 8 untrained men). Data obtained from the baseline testing session of 14 subjects involved in the longitudinal study were used for the cross-sectional examination to represent the nonjumper group. The cross-sectional examination revealed significant (p <or= 0.05) differences between jumpers and nonjumpers in peak performance variables (i.e., peak power, force, velocity, displacement) as well as over a range of time points throughout the power-, force-, velocity-, and displacement-time curves of the CMJ. Similar results were observed in the longitudinal examination, with power training eliciting significant changes to peak performance variables as well as significant changes to the power-, force-, velocity-, and displacement-time curves over a range of time points throughout the CMJ. This study illustrates that training status not only influences the peak performance variables of the countermovement jump but also impacts the shape of the power-, force-, velocity-, and displacement-time curves throughout the movement. Because analysis of peak performance variables offers little insight into how adaptations have occurred after training, examination of the changes to the power-, force-, velocity-, and/or displacement-time curves offers a simple yet powerful monitoring technique that practitioners can use to gain insight into the precise nature and timing of adaptations to training.

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Year:  2009        PMID: 19077740     DOI: 10.1519/JSC.0b013e3181889324

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  42 in total

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Authors:  Jeffrey M McBride; James G Snyder
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Review 2.  The Importance of Muscular Strength in Athletic Performance.

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Review 4.  Accentuated Eccentric Loading for Training and Performance: A Review.

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Review 5.  A brief review of strength and ballistic assessment methodologies in sport.

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Journal:  Sports Med       Date:  2014-05       Impact factor: 11.136

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7.  Alterations of Vertical Jump Mechanics after a Half-Marathon Mountain Running Race.

Authors:  Elissavet N Rousanoglou; Konstantinos Noutsos; Achilleas Pappas; Gregory Bogdanis; Georgios Vagenas; Ioannis A Bayios; Konstantinos D Boudolos
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8.  Spinal-Exercise Prescription in Sport: Classifying Physical Training and Rehabilitation by Intention and Outcome.

Authors:  Simon Spencer; Alex Wolf; Alison Rushton
Journal:  J Athl Train       Date:  2016-09-23       Impact factor: 2.860

9.  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

Review 10.  Short-term Periodization Models: Effects on Strength and Speed-strength Performance.

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Journal:  Sports Med       Date:  2015-10       Impact factor: 11.136

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