A multidisciplinary identification model for youth handball
- Author
- Stijn Matthys (UGent) , Roel Vaeyens (UGent) , Joric Vandendriessche (UGent) , Barbara Vandorpe (UGent) , Johan Pion (UGent) , Aaron J Coutts, Matthieu Lenoir (UGent) and Renaat Philippaerts (UGent)
- Organization
- Abstract
- Talent identification in team sports is complex and requires a multidisciplinary approach. The purpose of this study was to examine differences between elite and non-elite handball players in three age groups: U14 (n = 186), U16 (n = 150), and U18 (n = 92). A multidimensional test battery was assessed, taking biological maturation into account. Significant maturation effects were found for all anthropometric characteristics and most performance variables. Compared with their non-elite peers, the elite handball players demonstrated significantly greater aerobic capacity (P<0.01), strength and power (U14: countermovement jump, P = 0.021; sit-ups, P = 0.003; handgrip, P = 0.020; U16: countermovement jump, P = 0.013; five-jump test, P<0.001), and speed and agility (P<0.05) when maturation was controlled for. There was a significant difference in flexibility between elite and non-elite players in the U18 group (P<0.05). The elite and non-elite players did not differ in task-and ego-orientation. These results show that elite and non-elite young handball players possess different physical performance characteristics and that the specific tests that discriminate elite from non-elite handball players vary among age groups. In addition, maturity status can influence the results and should therefore be considered in talent identification and development programmes.
- Keywords
- team handball, FITNESS, LEVEL, ORIENTATION, STRENGTH, ELITE, SOCCER PLAYERS, PERFORMANCE-CHARACTERISTICS, TEAM-HANDBALL, SPORT, TALENT IDENTIFICATION, maturation, performance tests, Talent identification
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2058326
- MLA
- Matthys, Stijn, et al. “A Multidisciplinary Identification Model for Youth Handball.” EUROPEAN JOURNAL OF SPORT SCIENCE, vol. 11, no. 5, 2011, pp. 355–63, doi:10.1080/17461391.2010.523850.
- APA
- Matthys, S., Vaeyens, R., Vandendriessche, J., Vandorpe, B., Pion, J., Coutts, A. J., … Philippaerts, R. (2011). A multidisciplinary identification model for youth handball. EUROPEAN JOURNAL OF SPORT SCIENCE, 11(5), 355–363. https://doi.org/10.1080/17461391.2010.523850
- Chicago author-date
- Matthys, Stijn, Roel Vaeyens, Joric Vandendriessche, Barbara Vandorpe, Johan Pion, Aaron J Coutts, Matthieu Lenoir, and Renaat Philippaerts. 2011. “A Multidisciplinary Identification Model for Youth Handball.” EUROPEAN JOURNAL OF SPORT SCIENCE 11 (5): 355–63. https://doi.org/10.1080/17461391.2010.523850.
- Chicago author-date (all authors)
- Matthys, Stijn, Roel Vaeyens, Joric Vandendriessche, Barbara Vandorpe, Johan Pion, Aaron J Coutts, Matthieu Lenoir, and Renaat Philippaerts. 2011. “A Multidisciplinary Identification Model for Youth Handball.” EUROPEAN JOURNAL OF SPORT SCIENCE 11 (5): 355–363. doi:10.1080/17461391.2010.523850.
- Vancouver
- 1.Matthys S, Vaeyens R, Vandendriessche J, Vandorpe B, Pion J, Coutts AJ, et al. A multidisciplinary identification model for youth handball. EUROPEAN JOURNAL OF SPORT SCIENCE. 2011;11(5):355–63.
- IEEE
- [1]S. Matthys et al., “A multidisciplinary identification model for youth handball,” EUROPEAN JOURNAL OF SPORT SCIENCE, vol. 11, no. 5, pp. 355–363, 2011.
@article{2058326, abstract = {{Talent identification in team sports is complex and requires a multidisciplinary approach. The purpose of this study was to examine differences between elite and non-elite handball players in three age groups: U14 (n = 186), U16 (n = 150), and U18 (n = 92). A multidimensional test battery was assessed, taking biological maturation into account. Significant maturation effects were found for all anthropometric characteristics and most performance variables. Compared with their non-elite peers, the elite handball players demonstrated significantly greater aerobic capacity (P<0.01), strength and power (U14: countermovement jump, P = 0.021; sit-ups, P = 0.003; handgrip, P = 0.020; U16: countermovement jump, P = 0.013; five-jump test, P<0.001), and speed and agility (P<0.05) when maturation was controlled for. There was a significant difference in flexibility between elite and non-elite players in the U18 group (P<0.05). The elite and non-elite players did not differ in task-and ego-orientation. These results show that elite and non-elite young handball players possess different physical performance characteristics and that the specific tests that discriminate elite from non-elite handball players vary among age groups. In addition, maturity status can influence the results and should therefore be considered in talent identification and development programmes.}}, author = {{Matthys, Stijn and Vaeyens, Roel and Vandendriessche, Joric and Vandorpe, Barbara and Pion, Johan and Coutts, Aaron J and Lenoir, Matthieu and Philippaerts, Renaat}}, issn = {{1746-1391}}, journal = {{EUROPEAN JOURNAL OF SPORT SCIENCE}}, keywords = {{team handball,FITNESS,LEVEL,ORIENTATION,STRENGTH,ELITE,SOCCER PLAYERS,PERFORMANCE-CHARACTERISTICS,TEAM-HANDBALL,SPORT,TALENT IDENTIFICATION,maturation,performance tests,Talent identification}}, language = {{eng}}, number = {{5}}, pages = {{355--363}}, title = {{A multidisciplinary identification model for youth handball}}, url = {{http://doi.org/10.1080/17461391.2010.523850}}, volume = {{11}}, year = {{2011}}, }
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