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

Sarvestan, Javad; Svoboda, Zdeněk; Claudino, João Gustavo

doi:10.1007/s12662-020-00676-5

Cited by 10 publications

(14 citation statements)

References 38 publications

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“…Using this type of assessment, considerations should include factors occurring in the general jumps that are known to affect performance in VSJ. In accordance with the literature, the following factors fulfill both requirements by expressing the characteristics of the VSJ and correlating with VSJ height: Vertical decrease of CoM [6,12], maximum torso incline angle [6], and angular velocities in knee extension [6,13] and in shoulder flexion [6,13,14] (only relevant for CMJA) during the countermovement, and the peak RFD during upwards acceleration [15]. These are characteristics that can be measured during performance of general jump types and can benefit assessment of VSJ performance.…”

Section: Introductionsupporting

confidence: 65%

Relationship between General Jump Types and Spike Jump Performance in Elite Female and Male Volleyball Players

et al. 2021

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In performance testing, it is well-established that general jump types like squat and countermovement jumps have great reliability, but the relationship with volleyball spike jumps is unclear. The objectives of this study were to analyze the relationship between general and spike jumps and to provide improved models for predicting spike jump height by general jump performance. Thirty female and male elite volleyball players performed general and spike jumps in a randomized order. Two AMTI force plates (2000 Hz) and 13 Vicon MX cameras (250 Hz) captured kinematic and kinetic data. Correlation and stepwise-forward regression analyses were conducted at p < 0.05. Simple regression models with general jump height as the only predictor for spike jumps revealed 0.52 ≤ R2 ≤ 0.76 for all general jumps in both sexes (p < 0.05). Alternative models including rate of force development and impulse improved predictions during squat jumps from R2 = 0.76 to R2 = 0.92 (p < 0.05) in females and from R2 = 0.61 to R2 = 0.71 (p < 0.05) in males, and during countermovement jumps with arm swing from R2 = 0.52 to R2 = 0.78 (p < 0.01) in males. The findings include improved prediction models for spike jump height based on general jump performance. The derived formulas can be applied in general jump testing to improve the assessment of sport-specific spike jump performance.

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Section: Introductionsupporting

confidence: 65%

Relationship between General Jump Types and Spike Jump Performance in Elite Female and Male Volleyball Players

et al. 2021

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“…Afterwards, athletes were instructed to perform a spike jump (SJ) using a two- or three-step approach to jump through the force-plate area (a 3 m-wide corridor) with hitting the ball at the highest possible height. To ensure constant testing conditions, the ball was held by the coach while standing on a chair (it was placed at the end of corridor) [ 12 ]. A three-dimensional motion system with 8 cameras was used to measure the kinematic parameters.…”

Section: Methodsmentioning

confidence: 99%

“…Tow reflective markers were placed “on the iliac crest”, which is one of the points that is defined as an anthropometric reference point, to measure the whole body centre of mass (COM). The SJ height test was based on previous recommendations, and the COM height difference from the standing position to the maximum point achieved in the jump was calculated [ 12 ].…”

Section: Methodsmentioning

confidence: 99%

“…Nevertheless, to emphasize the importance of spike jump heights, the strong contribution for predicting spike jump heights has been previously found with the F–T curve variables derived from CMJ (71%). It has been previously found that F–T curve assessments show that the force, velocity, power, rate of force development (RFD), and modified reactive strength index (RSImod) are the best predictors of SJ height in young elite volleyball players [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Plyometric Jump Training in Sand or Rigid Surface on Jump-Related Biomechanical Variables and Physical Fitness in Female Volleyball Players

Ahmadi

Nobari

Ramírez‐Campillo

et al. 2021

IJERPH

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Background: This study aims to assess the effects of 8 weeks of plyometric jump training (PJT) conducted on sand or a rigid court surface on jump-related biomechanical variables and physical fitness in female indoor volleyball players. Methods: Seventeen participants were randomly divided into a sand surface group (SsG, n = 8) and rigid surface group (RsG, n = 9). Both groups completed equal indoor volleyball training routines. Participants were assessed pre and post the 8-week PJT for jump-related biomechanical variables (countermovement jump (CMJ) RSI; drop jump (DJ) reactive strength index (RSI); spike jump (SJ) height; CMJ height; CMJ rate of force development (RFD); CMJ velocity at take-off; DJ height and CMJ peak force), 20 m linear sprint time, t test for change-of-direction sprint (CODs) time, Wingate test peak power (PP), cardiorespiratory endurance, and leg-press one-repetition maximum (1RM). Results: A two-way mixed analysis of variance (group × time) revealed that there was a significant group × time interaction between DJ height (p = 0.035) and CMJ peak force (p = 0.032) in favour of RsG and SsG, respectively. A significant interaction was also observed for cardiorespiratory endurance (p = 0.01) and 1RM (p = 0.002), both favouring the SsG. No other group × time interaction was observed. Conclusions: The type of surface used during PJT induced specific adaptations in terms of jump-related biomechanical variables and physical fitness in female indoor volleyball players. Based on the individual needs of the athletes, practitioners may prescribe one type of surface preferentially over another to maximize the benefits derived from PJT.

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“…Generally, in volleyball the main objective of an attacker is to achieve the greatest possible height to benefit from a larger field size for ball placement [ 4 , 26 ]. Therefore, a plethora of research focuses on increasing jump height through assessing lower limb explosive strength or coordination.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising Map-Based Cluster Analysis: A Secondary Analysis

Sarvestan

Svoboda

Alaei

et al. 2021

Sensors

Self Cite

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This study investigated the whole-body coordination patterning in successful and faulty spikes using self-organising map-based cluster analysis. Ten young, elite volleyball players (aged 15.5 ± 0.7 years) performed 60 volleyball spikes in a real-game environment. Adopting the cluster analysis, based on a self-organising map, whole-body coordination patterning was explored between successful and faulty spikes of individual players. The self-organising maps (SOMs) portrayed whole body, lower and upper limb coordination dissimilarities during the jump phase and the ball impact phases between the successful and faulty spikes. The cluster analysis illustrated that the whole body, upper limb and lower limb coordination patterning of each individual’s successful spikes were similar to their faulty spikes. Range of motion patterning also demonstrated no differences in kinematics between spike outcomes. Further, the upper limb angular velocity patterning of the players’ successful/faulty spikes were similar. The SPM analysis portrayed significant differences between the normalized upper limb angular velocities from 35% to 45% and from 76% to 100% of the spike movement. Although the lower limb angular velocities are vital for achieving higher jumps in volleyball spikes, the results of this study portrayed that the upper limb angular velocities distinguish the differences between successful and faulty spikes among the attackers. This confirms the fact that volleyball coaches should shift their focus toward the upper limb velocity and coordination training for higher success rates in spiking for volleyball attackers.

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

Cited by 10 publications

References 38 publications

Relationship between General Jump Types and Spike Jump Performance in Elite Female and Male Volleyball Players

Relationship between General Jump Types and Spike Jump Performance in Elite Female and Male Volleyball Players

Effects of Plyometric Jump Training in Sand or Rigid Surface on Jump-Related Biomechanical Variables and Physical Fitness in Female Volleyball Players

Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising Map-Based Cluster Analysis: A Secondary Analysis

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