| Autor: |
Bautista IJ; FisioSalud Elite, Health, Training & Innovation University of Granada ( Spain )., Chirosa IJ; Department of Physical Education and Sport. University of Granada ( Spain )., Robinson JE; Department of Physical Education and Sport. University of Granada ( Spain )., van der Tillaar R; Faculty of Teacher Education of Nord Trøndelag University College. Department of Teacher Education and Sports (Levanger, Norway )., Chirosa LJ; Department of Physical Education and Sport. University of Granada ( Spain )., Martín IM; Department of Physical Education and Sport. University of Leon ( Spain ). |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of human kinetics [J Hum Kinet] 2016 Jul 02; Vol. 51, pp. 131-142. Date of Electronic Publication: 2016 Jul 02 (Print Publication: 2016). |
| DOI: |
10.1515/hukin-2015-0177 |
| Abstrakt: |
The aim of the present study was to identify different cluster groups of handball players according to their physical performance level assessed in a series of physical assessments, which could then be used to design a training program based on individual strengths and weaknesses, and to determine which of these variables best identified elite performance in a group of under-19 [U19] national level handball players. Players of the U19 National Handball team (n=16) performed a set of tests to determine: 10 m (ST 10 ) and 20 m (ST 20 ) sprint time, ball release velocity (BRv), countermovement jump (CMJ) height and squat jump (SJ) height. All players also performed an incremental-load bench press test to determine the 1 repetition maximum (1RM est ), the load corresponding to maximum mean power (Load MP ), the mean propulsive phase power at Load MP (P MPP MP) and the peak power at Load MP (P PEAK MP). Cluster analyses of the test results generated four groupings of players. The variables best able to discriminate physical performance were BRv, ST 20 , 1RM est , P PEAK MP and P MPP MP. These variables could help coaches identify talent or monitor the physical performance of athletes in their team. Each cluster of players has a particular weakness related to physical performance and therefore, the cluster results can be applied to a specific training programmed based on individual needs. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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