scholarly journals Understanding the Key Phases of the Countermovement Jump Force-Time Curve

Author(s):  
John J. McMahon ◽  
Timothy J. Suchomel ◽  
Jason P. Lake ◽  
Paul Comfort
2020 ◽  
Vol 50 (4) ◽  
pp. 470-476
Author(s):  
Javad Sarvestan ◽  
Zdeněk Svoboda ◽  
João Gustavo de Oliveira Claudino

2020 ◽  
Vol 5 (2) ◽  
pp. 28
Author(s):  
Timothy J. Suchomel ◽  
Shana M. McKeever ◽  
John J. McMahon ◽  
Paul Comfort

The purpose of this study was to examine the changes in squat jump (SJ) and countermovement jump (CMJ) force–time curve characteristics following 10 weeks of training with either load-matched weightlifting catching (CATCH) or pulling derivatives (PULL) or pulling derivatives that included force- and velocity-specific loading (OL). Twenty-five resistance-trained men were randomly assigned to the CATCH, PULL, or OL groups. Participants completed a 10 week, group-specific training program. SJ and CMJ height, propulsion mean force, and propulsion time were compared at baseline and after 3, 7, and 10 weeks. In addition, time-normalized SJ and CMJ force–time curves were compared between baseline and after 10 weeks. No between-group differences were present for any of the examined variables, and only trivial to small changes existed within each group. The greatest improvements in SJ and CMJ height were produced by the OL and PULL groups, respectively, while only trivial changes were present for the CATCH group. These changes were underpinned by greater propulsion forces and reduced propulsion times. The OL group displayed significantly greater relative force during the SJ and CMJ compared to the PULL and CATCH groups, respectively. Training with weightlifting pulling derivatives may produce greater vertical jump adaptations compared to training with catching derivatives.


Sports ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 143 ◽  
Author(s):  
Jason Lake ◽  
John McMahon

Countermovement jump (CMJ) force data are often time-normalized so researchers and practitioners can study the effect that sex, training status, and training intervention have on CMJ strategy: the so-called force–time curve shape. Data are often collected on an individual basis and then averaged across interest-groups. However, little is known about the agreement of the CMJ force–time curve shape within-subject, and this formed the aim of this study. Fifteen men performed 10 CMJs on in-ground force plates. The resulting force–time curves were plotted, with their shape categorized as exhibiting either a single peak (unimodal) or a double peak (bimodal). Percentage-agreement and the kappa-coefficient were used to assess within-subject agreement. Over two and three trials, 13% demonstrated a unimodal shape, 67% exhibited a bimodal shape, and 20% were inconsistent. When five trials were considered, the unimodal shape was not demonstrated consistently; 67% demonstrated a bimodal shape, and 33% were inconsistent. Over 10 trials, none demonstrated a unimodal shape, 60% demonstrated a bimodal shape, and 40% were inconsistent. The results of this study suggest that researchers and practitioners should ensure within-subject consistency before group averaging CMJ force–time data, to avoid errors.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Steven Hughes ◽  
John Warmenhoven ◽  
G. Gregory Haff ◽  
Dale W. Chapman ◽  
Sophia Nimphius

Sports ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 36 ◽  
Author(s):  
Rodney Kennedy ◽  
David Drake

2018 ◽  
Vol 32 (4) ◽  
pp. 1155-1165 ◽  
Author(s):  
Christopher J. Sole ◽  
Satoshi Mizuguchi ◽  
Kimitake Sato ◽  
Gavin L. Moir ◽  
Michael H. Stone

2007 ◽  
Vol 20 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Orit Shechtman ◽  
Bhagwant S. Sindhu ◽  
Paul W. Davenport
Keyword(s):  

2012 ◽  
Vol 26 (10) ◽  
pp. 2685-2697 ◽  
Author(s):  
Brian K. Leary ◽  
Jason Statler ◽  
Britton Hopkins ◽  
Rachael Fitzwater ◽  
Tucker Kesling ◽  
...  

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