Objective classification of countermovement jump force-time curve modality: within athlete-consistency and associations with jump performance

The importance of vertical jump in sport fields and rehabilitation is widely recognized. Furthermore, Force-Time variables of vertical jump are factors affecting jumping height. Exclusive review of each of this variables, in eccentric and concentric phases, can lead to a specific focus on them during jumping exercises. So, the aims of his study were to a) reviewing the relationship between force-time curve variables of eccentric and concentric phases with jump height and b) description of this variables in Iran national youth volleyball players society. This is an observational study. 12 elite volleyball player (Male, Iran national youth volleyball players, 17±0.7 years) have participated in this study. Correlation between Force-Time variables - included peak force (PF), relative peak force (RPP), peak power (PP), average power (AP), relative peak power (RPP), and Modified Reactive Strength Index (MRSI) - in eccentric and concentric phases and ultimate jump height has been studied. Results showed that the average power (r=0.7) and relative peak force (r=0.75) of concentric phase and MRSI (r=0.83) have significant correlation with ultimate jump height (JH). Relative peak power and average power of concentric phase can massively effect Jump Height in sports like volleyball, which vertical jump is an integral part of them. Focus on both of these factors, which has been studied in this research, in training programs, can improve athlete jump performance significantly.

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Force-time curve variables of countermovement jump as predictors of volleyball spike jump height

German Journal of Exercise and Sport Research ◽

10.1007/s12662-020-00676-5 ◽

2020 ◽

Vol 50 (4) ◽

pp. 470-476

Author(s):

Javad Sarvestan ◽

Zdeněk Svoboda ◽

João Gustavo de Oliveira Claudino

Keyword(s):

Jump Height ◽

Countermovement Jump ◽

Time Curve ◽

Force Time

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Association Between Force-Time Curve Characteristics and Vertical Jump Performance in Trained Athletes

The Journal of Strength and Conditioning Research ◽

10.1519/jsc.0000000000000739 ◽

2015 ◽

Vol 29 (7) ◽

pp. 2045-2049 ◽

Cited By ~ 5

Author(s):

Mário C. Marques ◽

Mikel Izquierdo ◽

Daniel A. Marinho ◽

Tiago M. Barbosa ◽

Ricardo Ferraz ◽

...

Keyword(s):

Vertical Jump ◽

Time Curve ◽

Jump Performance ◽

Force Time

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

Strength and Conditioning Journal ◽

10.1519/ssc.0000000000000375 ◽

2018 ◽

pp. 1 ◽

Cited By ~ 24

Author(s):

John J. McMahon ◽

Timothy J. Suchomel ◽

Jason P. Lake ◽

Paul Comfort

Keyword(s):

Countermovement Jump ◽

Time Curve ◽

Force Time

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Evaluation of force and vertical jump performance in young swimmers with different force-time curve characteristics

Biology of Sport ◽

10.5604/20831862.901135 ◽

2009 ◽

Vol 26 (4) ◽

pp. 301-307 ◽

Cited By ~ 3

Author(s):

C Papadopoulos ◽

M Sambanis ◽

I Gissis ◽

G Noussios ◽

E Gandiraga ◽

...

Keyword(s):

Vertical Jump ◽

Time Curve ◽

Jump Performance ◽

Force Time

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The Effect of Training with Weightlifting Catching or Pulling Derivatives on Squat Jump and Countermovement Jump Force–Time Adaptations

Journal of Functional Morphology and Kinesiology ◽

10.3390/jfmk5020028 ◽

2020 ◽

Vol 5 (2) ◽

pp. 28

Author(s):

Timothy J. Suchomel ◽

Shana M. McKeever ◽

John J. McMahon ◽

Paul Comfort

Keyword(s):

Training Program ◽

Vertical Jump ◽

Group Differences ◽

Specific Training ◽

Countermovement Jump ◽

Time Curve ◽

Squat Jump ◽

Specific Loading ◽

Force Time

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.

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Within-Subject Consistency of Unimodal and Bimodal Force Application during the Countermovement Jump

Sports ◽

10.3390/sports6040143 ◽

2018 ◽

Vol 6 (4) ◽

pp. 143 ◽

Cited By ~ 3

Author(s):

Jason Lake ◽

John McMahon

Keyword(s):

Curve Shape ◽

Countermovement Jump ◽

Time Data ◽

Time Curve ◽

Subject Agreement ◽

Group Averaging ◽

Force Time ◽

Force Data ◽

And Training ◽

Shape Data

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.

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