Negra Yassine, Sammoud Senda, Nevill Alan M, Chaabene Helmi
Research Unit (UR17JS01) "Sports Performance, Health & Society," Higher Institute of Sport and Physical Education of Ksar Saîd, Universite de la Manouba, Tunis,Tunisia.
Faculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall,United Kingdom.
Pediatr Exerc Sci. 2022 May 5;35(1):1-7. doi: 10.1123/pes.2021-0178. Print 2023 Feb 1.
This study aimed to develop the optimal allometric body size/shape and a biological maturity model that predicted the change of direction (CoD) mean speed performance in youth male soccer players. One-hundred and fifteen youth soccer players (age: 12.4 [1.3] y) participated in this study. The 505 test was used to assess CoD mean speed performance. Anthropometric measurements comprised body height (cm), sitting height (cm), body mass (kg), fat mass (kg), lower limb length (cm), thigh length (cm), leg length (cm), foot length (cm), thigh girth (cm), and calf girth (cm). The maturity status was determined based on the maturity offset method. To identify size/shape and maturity characteristics associated with CoD speed performance, we computed a multiplicative allometric log-linear regression model, which was refined using backward elimination. The multiplicative allometric model exploring the association between 505 CoD mean speed performance and the different anthropometric characteristics in youth soccer players estimated that fat mass (P < .001), sitting height (P = .02), and maturity offset (P = .004) are the key predictors. More specifically, youths who are more mature and have a lower fat mass and a shorter trunk length, are likely to achieve a better CoD mean speed performance. These findings highlight the relevance of considering anthropometric and maturity characteristics in youth soccer players to support talent identification.
本研究旨在建立最佳的异速生长体型/形状和生物成熟度模型，以预测青年男性足球运动员的变向（CoD）平均速度表现。115名青年足球运动员（年龄：12.4[1.3]岁）参与了本研究。采用505测试来评估CoD平均速度表现。人体测量包括身高（厘米）、坐高（厘米）、体重（千克）、脂肪量（千克）、下肢长度（厘米）、大腿长度（厘米）、小腿长度（厘米）、足长（厘米）、大腿围（厘米）和小腿围（厘米）。成熟状态基于成熟度偏移法确定。为了确定与CoD速度表现相关的体型/形状和成熟特征，我们计算了一个乘法异速生长对数线性回归模型，并使用向后淘汰法对其进行了优化。探索青年足球运动员505 CoD平均速度表现与不同人体测量特征之间关联的乘法异速生长模型估计，脂肪量（P<.001）、坐高（P=.02）和成熟度偏移（P=.004）是关键预测因素。更具体地说，更成熟、脂肪量较低且躯干长度较短的年轻人，可能会获得更好的CoD平均速度表现。这些发现凸显了在青年足球运动员中考虑人体测量和成熟特征以支持人才识别的重要性。
