<b> Discriminant features of young male handball players </b>

The aim of this study was to assess which variables, in isolation or in combination, differentiate between young handball players at two different competitive levels. The sample was composed of 48 male athletes aged between 13 and 14 years old, 18 of whom played at school level and 30 of whom were l...

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Main Authors: Rudney Uezu, Fernando Oliveira Paes, Maria Tereza Silveira Böhme, Marcelo Massa
Format: Article
Language:English
Published: Universidade Federal de Santa Catarina 2008-12-01
Series:Revista Brasileira de Cineantropometria e Desempenho Humano
Subjects:
Online Access:http://www.periodicos.ufsc.br/index.php/rbcdh/article/view/330
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spelling doaj-9cd79644cd054c2b96bc277b7baf1aba2020-11-24T22:22:31ZengUniversidade Federal de Santa CatarinaRevista Brasileira de Cineantropometria e Desempenho Humano1415-84261980-00372008-12-01104330334<b> Discriminant features of young male handball players </b>Rudney UezuFernando Oliveira PaesMaria Tereza Silveira BöhmeMarcelo MassaThe aim of this study was to assess which variables, in isolation or in combination, differentiate between young handball players at two different competitive levels. The sample was composed of 48 male athletes aged between 13 and 14 years old, 18 of whom played at school level and 30 of whom were league players. Anthropometric measurements, physical fitness and level of tactical knowledge were all evaluated. Data were analyzed using descriptive statistics and logistic regression (backward), with competitive level as the dependent variable and tactical knowledge and kinanthropometricparameters as the independent variables. A combination of height, vertical jump, agility and throwing strength achieved an88.6% rate of correct classification of the individuals tested. Taken in isolation, height was the variable that best differentiatedbetween the groups, but it is believed that it is necessary to combine this with physical fitness variables.http://www.periodicos.ufsc.br/index.php/rbcdh/article/view/330AnthropometryPhysical fitnessLogistic modelsAntropometriaAptidão físicaModelos logísticos.
collection DOAJ
language English
format Article
sources DOAJ
author Rudney Uezu
Fernando Oliveira Paes
Maria Tereza Silveira Böhme
Marcelo Massa
spellingShingle Rudney Uezu
Fernando Oliveira Paes
Maria Tereza Silveira Böhme
Marcelo Massa
<b> Discriminant features of young male handball players </b>
Revista Brasileira de Cineantropometria e Desempenho Humano
Anthropometry
Physical fitness
Logistic models
Antropometria
Aptidão física
Modelos logísticos.
author_facet Rudney Uezu
Fernando Oliveira Paes
Maria Tereza Silveira Böhme
Marcelo Massa
author_sort Rudney Uezu
title <b> Discriminant features of young male handball players </b>
title_short <b> Discriminant features of young male handball players </b>
title_full <b> Discriminant features of young male handball players </b>
title_fullStr <b> Discriminant features of young male handball players </b>
title_full_unstemmed <b> Discriminant features of young male handball players </b>
title_sort <b> discriminant features of young male handball players </b>
publisher Universidade Federal de Santa Catarina
series Revista Brasileira de Cineantropometria e Desempenho Humano
issn 1415-8426
1980-0037
publishDate 2008-12-01
description The aim of this study was to assess which variables, in isolation or in combination, differentiate between young handball players at two different competitive levels. The sample was composed of 48 male athletes aged between 13 and 14 years old, 18 of whom played at school level and 30 of whom were league players. Anthropometric measurements, physical fitness and level of tactical knowledge were all evaluated. Data were analyzed using descriptive statistics and logistic regression (backward), with competitive level as the dependent variable and tactical knowledge and kinanthropometricparameters as the independent variables. A combination of height, vertical jump, agility and throwing strength achieved an88.6% rate of correct classification of the individuals tested. Taken in isolation, height was the variable that best differentiatedbetween the groups, but it is believed that it is necessary to combine this with physical fitness variables.
topic Anthropometry
Physical fitness
Logistic models
Antropometria
Aptidão física
Modelos logísticos.
url http://www.periodicos.ufsc.br/index.php/rbcdh/article/view/330
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