The objectives of the present study were: (i) to analyse anthropometric parameters, physical fitness, and throwing speed in men elite youth handball players of different ages; and (ii) to develop a multivariate model that explains the throwing speed. Fifty-three men handball players (17.99±1.68 years in age), components of the [deleted for blinding purposes] national teams, participated in the study. The participants were classified into the under-21 National Team (n=12), under-19 National Team (n=17), and under-17 National Team (n=24). All were evaluated by basic anthropometry (height, weight, body mass index), physical fitness tests (counter movement jump, medicine ball throw, hand dynamometry, 10 m and 30 m sprint, yo-yo IR2 test) and handball throwing speed (from 7 m standing, and from 9 m after three steps and after three steps and a jump). A one-way analysis of variance with a Bonferroni post hoc test was used to establish the differences between teams. Multiple linear regression was used to predict the speed of each of the three throws for each of the three teams. There were no differences between the U21 and U19 teams except for the medicine ball throw, but the U19 team obtained better results than the U17 team in almost all variables. Throwing speed was predicted (between 22% and 70%) with only one or two physical fitness variables in each model, with medicine ball throw (four models), CMJ (two models), and 10 m sprint (two models) being the variables that were most selected.

中文翻译：

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青年男子手球运动员的人体测量特征，身体素质和投掷速度预测

本研究的目的是：（i）分析不同年龄段的男子精锐青少年手球运动员的人体测量参数，体能和投掷速度；（ii）建立可以解释投掷速度的多元模型。参加这项研究的是五十三名男子手球运动员（年龄为17.99±1.68岁），这些人属于[出于致盲目的而被删除]国家队的成员。参与者分为21岁以下国家队（n = 12），19岁以下国家队（n = 17）和17岁以下国家队（n = 24）。通过基本的人体测量法（身高，体重，体重指数），体能测试（反跳动作，药球投掷，手测力，10 m和30 m短跑，溜溜球IR2测试）和手球投掷速度（来自站立7 m，三步后以及三步跳后从9 m起跳。使用Bonferroni事后检验对方差进行单向分析，以建立团队之间的差异。多元线性回归用于预测三支球队中每支球队三投的速度。除了药丸投掷之外，U21和U19球队之间没有区别，但是在几乎所有变量上，U19球队都比U17球队获得更好的成绩。预测每个模型中只有一个或两个身体适应性变量的投掷速度（介于22％和70％之间），其中以药球投掷（四个模型），CMJ（两个模型）和10 m短跑（两个模型）为变量选择最多的 多元线性回归用于预测三支球队中每支球队三投的速度。除了药丸投掷之外，U21和U19球队之间没有区别，但是在几乎所有变量上，U19球队都比U17球队获得更好的成绩。预测每个模型中只有一个或两个身体适应性变量的投掷速度（介于22％和70％之间），其中以药球投掷（四个模型），CMJ（两个模型）和10 m短跑（两个模型）为变量选择最多的 多元线性回归用于预测三支球队中每支球队三投的速度。除了药丸投掷之外，U21和U19球队之间没有区别，但是在几乎所有变量上，U19球队都比U17球队获得更好的成绩。预测每个模型中只有一个或两个身体适应性变量的投掷速度（介于22％和70％之间），其中以药球投掷（四个模型），CMJ（两个模型）和10 m短跑（两个模型）为变量选择最多的