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

• Main Authors: Philip X. Fuchs, Julia Mitteregger, Dominik Hoelbling, Hans-Joachim K. Menzel, Jeffrey W. Bell, Serge P. von Duvillard, Herbert Wagner
• Format: Article
• Language: English
• Published: MDPI AG 2021-01-01
• Series: Applied Sciences
• Subjects: kinematic; kinetic; 3D analyses; influence; prediction; regression models
• Online Access: https://www.mdpi.com/2076-3417/11/3/1105
• ISSN: 2076-3417

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 <i>p </i>< 0.05. Simple regression models with general jump height as the only predictor for spike jumps revealed 0.52 ≤ <i>R</i>² ≤ 0.76 for all general jumps in both sexes (<i>p </i>< 0.05). Alternative models including rate of force development and impulse improved predictions during squat jumps from <i>R</i>² = 0.76 to <i>R</i>² = 0.92 (<i>p </i>< 0.05) in females and from <i>R</i>² = 0.61 to <i>R</i>² = 0.71 (<i>p </i>< 0.05) in males, and during countermovement jumps with arm swing from <i>R</i>² = 0.52 to <i>R</i>² = 0.78 (<i>p </i>< 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.