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预测职业水球运动员的参赛状态:按性别分析

Predicting playing status in professional water polo players: analysis by gender.

作者信息

Vila María H, Manchado Carmen, Abraldes José A, Ferragut Carmen

机构信息

Faculty of Education and Sport Science, University of Vigo, Pontevedra, Spain -

Faculty of Education, University of Alicante, Comunidad Valenciana, Alicante, Spain.

出版信息

J Sports Med Phys Fitness. 2018 Sep;58(9):1234-1239. doi: 10.23736/S0022-4707.17.07201-2. Epub 2017 May 30.

Abstract

BACKGROUND

The aim of this study was twofold: firstly, to identify the characteristics of water polo players that discriminate between women and men based on specific playing positions; and secondly to develop a predicting model to identify the characteristics that are best suited to a given playing position based on gender.

METHODS

The study included 130 professional water polo players. Anthropometric characteristics and throwing velocity were analyzed in different situations: no defender or goalkeeper, goalkeeper only and the players made three rapid arm movements and then threw the ball at maximum speed without further feinting with goalkeeper. Measured variables were compared according to gender and player position using discriminant analysis.

RESULTS

The predictive model accurately classifies 71.1% of the male players using three variables (arm span, muscle mass Lee and penalty without goalkeeper), and 64.7% of the female players using three variables (triceps skinfold, biceps skinfold and anteroposterior chest breadth).

CONCLUSIONS

The anthropometric characteristics and throwing velocity play an important role in identifying the different specific positions in male and female water polo players. In female players, the variables that were determinant in the predictive model, were those associated with body composition.

摘要

背景

本研究的目的有两个:第一,确定基于特定比赛位置区分男女水球运动员的特征;第二,开发一个预测模型,根据性别确定最适合特定比赛位置的特征。

方法

该研究纳入了130名职业水球运动员。在不同情况下分析人体测量特征和投掷速度:无防守队员或守门员、只有守门员以及运动员进行三次快速手臂动作,然后在不进一步假动作的情况下以最大速度向守门员投球。使用判别分析根据性别和球员位置比较测量变量。

结果

预测模型使用三个变量(臂展、肌肉量Lee和无守门员时的罚球)准确分类了71.1%的男性球员,使用三个变量(肱三头肌皮褶厚度、肱二头肌皮褶厚度和胸廓前后径)准确分类了64.7%的女性球员。

结论

人体测量特征和投掷速度在识别男女水球运动员不同的特定位置中起着重要作用。在女性球员中,预测模型中的决定性变量是与身体成分相关的变量。

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