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DOI: 10.1055/a-2038-3333
Predictors of Ball Velocity in the Sitting Volleyball Serve: A Causal Analysis
Abstract
This study explored the performance of the Sitting Volleyball serve by investigating the causal factors associated with ball velocity. Thirty-seven athletes underwent anthropometry and strength assessment and performed ten successful maximal effort serves. Ball velocity was measured using a sports radar gun. The hip, shoulder, elbow and wrist angles at the instant of ball impact as well as the height of ball impact were estimated through two-dimensional motion analysis. The causal relationships between variables were described through a linear Structural Equation Model and a Directed Acyclic Graph. Results showed that a smaller hip angle determines a greater shoulder angle, which in turn causes a greater elbow angle. A more open elbow angle together with a greater vertical reach allowed for a greater height of ball impact. Finally, increased height of ball impact along with greater abdominal strength are beneficial for higher ball velocity. These results underlined that the Sitting Volleyball serve is a multifactorial stroke involving anthropometric, technical and strength factors and suggest that athletes should improve their abdominal strength and master the technique necessary to perform the serve with the shoulder and the elbow joints fully extended in order to produce the greatest possible impact on the ball.
Key words
paralympic sport - kinematic analysis - physical impairment - structural equation model - direct acyclic graphPublication History
Received: 26 August 2022
Accepted: 01 February 2023
Article published online:
19 May 2023
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References
- 1 www.worldparavolley.org. Internet: https://www.worldparavolley.org/
- 2 World ParaVolley. Official Sitting Volleyball Rules 2022 - 2024. Published by World ParaVolley, 2022. Internet: https://www.worldparavolley.org/wp-content/uploads/2021/11/Official-Sitting-Volleyball-Rules-2022-2024.pdf
- 3 Shondell DS, Reynaud C. The Volleyball Coaching Bible. Champaign, Ill, Leeds: Human Kinetics;; 2002
- 4 MacKenzie S, Kortegaard K, LeVangie M. et al. Evaluation of two methods of the jump float serve in volleyball. J Appl Biomech 2012; 28: 579-586
- 5 Coleman SG, Benham AS, Northcott SR. A three-dimensional cinematographical analysis of the volleyball spike. J Sports Sci 1993; 11: 295-302
- 6 Reeser JC, Fleisig GS, Bolt B. et al. Upper limb biomechanics during the volleyball serve and spike. Sports Health 2010; 2: 368-374
- 7 Ciccarone G, Croisier J-L, Fontani G. et al. Comparison between player specialization, anthropometric characteristics and jumping ability in top-level volleyball players. Med Sport (Roma) 2008; 61: 29-43
- 8 Forthomme B, Croisier J-L, Ciccarone G. et al. Factors correlated with volleyball spike velocity. Am J Sports Med 2005; 33: 1513-1519
- 9 Marques MC, van den Tillaar R, Gabbett TJ. et al. Physical fitness qualities of professional volleyball players: Determination of positional differences. J Strength Cond Res 2009; 23: 1106-1111
- 10 Spirtes P, Glymour C, Scheines R. Causation, Prediction, and Search. 2nd ed. A Bradford Book. 2001
- 11 Pearl J. An introduction to causal inference. Int J Biostat 2010; 6: 7
- 12 Golia S, Brentari E, Carpita M. Causal reasoning applied to sensory analysis: The case of the Italian wine. Food Qual Prefer 2017; 59: 97-108
- 13 Corte S, Cavedon V, Milanese C. Differential effects of main error correction versus secondary error correction on motor pattern of running. Hum Mov Sci 2015; 44: 182-191
- 14 Cavedon V, Zancanaro C, Milanese C. Kinematic analysis of the wheelchair tennis serve: Implications for classification. Scand J Med Sci Sports 2014; 24: e381-e388
- 15 Nolan L, Lees A. The influence of lower limb amputation level on the approach in the amputee long jump. J Sports Sci 2007; 25: 393-401
- 16 Cavedon V, Brugnoli C, Sandri M. et al. Physique and performance in male sitting volleyball players: implications for classification and training. PeerJ 2022; 10: e14013
- 17 Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Champaign, IL: Human Kinetics Books;; 1988
- 18 Cavedon V, Zancanaro C, Milanese C. Physique and performance of young wheelchair basketball players in relation with classification. PLoS One 2015; 10: e0143621
- 19 Cavedon V, Zancanaro C, Milanese C. Anthropometry, body composition, and performance in sport-specific field test in female wheelchair basketball players. Front Physiol 2018; 9: 568
- 20 Bartlett R. Analysing Human Movement Patterns. 2nd ed.. London: Routledge; 2007
- 21 Cavedon V, Sandri M, Pirlo M. et al. Anthropometry-driven block setting improves starting block performance in sprinters. PLoS One 2019; 14: e0213979
- 22 Cavedon V, Bezodis NE, Sandri M. et al. Relationships between anthropometric characteristics, block settings, and block clearance technique during the sprint start. J Sports Sci 2022; 40: 1097-1109
- 23 Reinschmidt C, van den Bogert AJ, Nigg BM. et al. Effect of skin movement on the analysis of skeletal knee joint motion during running. J Biomech 1997; 30: 729-732
- 24 Bradshaw EJ, Maulder PS, Keogh JWL. Biological movement variability during the sprint start: performance enhancement or hindrance?. Sports Biomech 2007; 6: 246-260
- 25 Yüksel MF, Sevindi T. Physical fitness profiles of sitting volleyball players of the turkish national team. Universal J Educational Res 2018; 6: 556-561
- 26 Ahmadi S, Uchida MC, Gutierrez GL. Physical Performance Tests in Male and Female Sitting Volleyball Players: Pilot Study of Brazilian National Team. Asian J Sports Med 2019; 10: e85984
- 27 Ahmadi S, Gutierrez GL, Uchida MC. Correlation between handgrip and isokinetic strength of shoulder muscles in elite sitting volleyball players. J Bodyw Mov Ther 2020; 24: 159-163
- 28 Pearl J. Causality: Models, Reasoning, and Inference. 2nd ed.. Cambridge University Press; 2009
- 29 Bollen KA. Structural Equations with Latent Variables. John Wiley & Sons; 1989
- 30 Bowne MV, Cudeck R, Browne MW. et al. Alternative ways of assessing model fit. In: Bollen KA, Long JS (Eds.). Testing Structural Equation Models. Newbury Park, CA: Sage; 1993: 136-162
- 31 Ramsey JD, Zhang K, Glymour M. et al. Tetrad – A Toolbox For Causal Discovery. 8th international workshop on climate informatics. Available at . https://www.atmos.colostate.edu/~iebert/PAPERS/CI2018_paper_35.pdf
- 32 Kibler WB. 8th International Workshop on Climate Informatics. Clinical biomechanics of the elbow in tennis: implications for evaluation and diagnosis. Med Sci Sports Exerc 1994; 26: 1203-1206
- 33 Ellenbecker TS, Aoki R. Step by step guide to understanding the kinetic chain concept in the overhead athlete. Curr Rev Musculoskelet Med 2020; 13: 155-163
- 34 Hanavan EP. A Mathematical Model of the Human Body. Aerospace Medical Research Laboratories, Aerospace Medical Division, Air Force Systems Command. 1964
- 35 Plagenhoef S. Patterns of Human Motion : A Cinematographic Analysis. Englewood Cliffs, NJ: Prentice-Hall; 1971
- 36 Bunn JW. Scientific Principles of Coaching. 2d ed.. Englewood Cliffs, NJ: Prentice-Hall; 1972
- 37 Ackland TR, Elliott B, Bloomfield J. Applied Anatomy and Biomechanics in Sport. Human Kinetics. 2009
- 38 McGinnis PM. Biomechanics of Sport and Exercise. Human Kinetics. 2013
- 39 Lidor R, Ziv G. Physical and physiological attributes of female volleyball players – a review. J Strength Cond Res 2010; 24: 1963-1973
- 40 Rikberg A, Raudsepp L. Multidimensional performance characteristics in talented male youth volleyball players. Pediatr Exerc Sci 2011; 23: 537-548
- 41 Frossard L, Smeathers J, O’Riordan A. et al. Shot trajectory parameters in gold medal stationary shot-putters during world-class competition. Adapt Phys Activ Q 2007; 24: 317-331
- 42 Alexander M, Honish A.. An Analysis of the Volleyball Jump Serve. 2010; Internet: https://www.researchgate.net/publication/237328923_An_Analysis_of_the_Volleyball_Jump_Serve/citation/download
- 43 Oliver GD, Brezzo RD. Functional balance training in collegiate women athletes. J Strength Cond Res 2009; 23: 2124-2129
- 44 Nesser TW, Huxel KC, Tincher JL. et al. The relationship between core stability and performance in division i football players. J Strength Cond Res 2008; 22: 1750-1754
- 45 González-Silva J, Fernández-Echeverría C, Conejero M. et al. Characteristics of serve, reception and set that determine the setting efficacy in men’s volleyball. Front Psychol 2020; 11: 222
- 46 Baena-Raya A, Soriano-Maldonado A, Rodríguez-Pérez MA. et al. The force-velocity profile as determinant of spike and serve ball speed in top-level male volleyball players. PLoS One 2021; 16: e0249612
- 47 Frossard LA, O’Riordan A, Goodman S. Applied Biomechanics for Evidence-based Training of Australian Elite Seated Throwers. International Council of Sport Science and Physical Education Perspectives series 2005; Internet: https://www.researchgate.net/publication/27464800_Applied_biomechanics_for_evidence-based_training_of_Australian_elite_seated_throwers