首页> 外文期刊>Journal of strength and conditioning research >ANTHROPOMETRIC CHARACTERISTICS, PHYSICAL FITNESS, AND THROWING VELOCITY IN ELITE WOMEN'S HANDBALL TEAMS
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ANTHROPOMETRIC CHARACTERISTICS, PHYSICAL FITNESS, AND THROWING VELOCITY IN ELITE WOMEN'S HANDBALL TEAMS

机译:精英女性手球队中的人体测量特征,身体健康和投掷速度

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The aims of this study were (a) to analyze anthropometric, physical fitness, and throwing speed in women elite handball players of different ages and (b) to develop a multivariate model explaining handball performance from a multidimensional perspective. Eighty women handball players (18.2 +/- 4.0 years in age) from national team selections participated in the study. The players belonged to A Team, under-19, under-17, and under-15 national teams. All were evaluated by basic anthropometry, physical fitness tests, and handball throwing speed. A 1-way analysis of variance was used to establish the differences between teams with a Bonferroni post hoc test. For each team, a discriminant analysis was performed to determine the predictor variables of performance. Pearson's simple correlation coefficients were calculated between each of the variables. The results of this particular study showed that (a) between the A Team and the U19 team, there were only differences in mass, countermovement jump (CMJ), medicine ball throw, and yo-yo test, (b) the A Team and U19 predictive models correctly classified 76 and 90% of the samples, respectively, with the variables involved being mass and body mass index (A Team) and 30-m sprint and 7-m throwing speed (U19 team), and (c) the 7- and 9-m throwing speeds were correlated with each other and with stature, mass, CMJ, and medicine ball throw (0.367 = r = 0.533; 0.001 = p = 0.05). These results could help improve coaches' knowledge of elite female teams, in particular, in the country where the study was conducted and in others of similar characteristics.
机译:本研究的目的是(a)分析不同年龄和(b)的女性精英手球运动员中的人体测量,身体健康和投掷速度,以开发从多维视角解释手球性能的多元模型。来自国家团队选择的八十名女性手球运动员(年龄18.2 +/- 4.0岁)参加了该研究。球员属于一支球队,19岁以下,17岁以下,15岁以下的国家队。所有这些都是通过基本的人体测量法,身体健康测试和手球呕吐速度进行评估。使用单向差异的单向分析来建立团队与Bonferroni后Hoc测试的差异。对于每个团队,进行判别分析以确定性能的预测变量。在每个变量之间计算Pearson的简单相关系数。这种特殊研究的结果表明,(a)在一支球队和U19团队之间,只有差异差异,对策跳跃(CMJ),药球投掷和Yo-Yo测试,(B) U19预测模型分别正确分类了76和90%的样本,其中变量涉及质量和体重指数(一支球队)和30米Sprint和7-M抛出速度(U19团队),以及(C) 7-和9-M滴速彼此相关,并且具有身材,质量,CMJ和药球投掷(0.367 = 0.001 = 0.001 = 0.05)。这些结果有助于改善教练对精英女队伍的知识,特别是在该研究在研究的国家和其他特征中的国家。

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