Amatori Stefano, Pintus Antonio, Corsi Lorenzo, Bensi Roberto, Zanini Laura, Rocco Vanessa, Guidetti Laura, Baldari Carlo, Rocchi Marco B L, Sisti Davide, Perroni Fabrizio
Faculty of Psychology, ECampus University, Novedrate, 22060, Como, Italy.
Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029, Urbino, Italy.
Heliyon. 2024 Aug 24;10(17):e36879. doi: 10.1016/j.heliyon.2024.e36879. eCollection 2024 Sep 15.
This paper examined the relationship among countermovement jump (CMJ), football category, chronological age, relative age, and pubertal development status to investigate which parameter could be better associated with jumping performance. We tested 259 young male football players (14.9 ± 1.8 yrs; 169.7 ± 9.8 cm; 60.6 ± 11.3 kg; 20.9 ± 2.6 kg m) belonging to elite football academies. One-sample chi-square tests were used to test the uniformity of distributions of the proportions of players in each year quarter (relative age effect, RAE) for the whole sample and stratified for each football age category (U14, U15, U17, and U19). One-way ANOVAs were used to test the associations among a) categories, RAE, and CMJ, and b) the pubertal status category and CMJ. Pearson's correlation assessed the relationship among variables. The birth distribution among the year's quarters significantly differed from the expected proportion of 25 % of participants each quarter ( = 41.74; < 0.001), highlighting the presence of a relative age effect. Results indicate that age significantly influences CMJ ( = 8.85, < 0.001, η = 0.187), and a significant interaction effect (age × birth quarter) was found. Coaches, strength and conditioning trainers, and scouts should be aware of physical and biological players' maturation.
本文研究了反向纵跳(CMJ)、足球类别、实足年龄、相对年龄和青春期发育状况之间的关系,以探讨哪个参数与跳跃成绩的关联性更强。我们测试了259名来自精英足球学院的年轻男性足球运动员(14.9±1.8岁;169.7±9.8厘米;60.6±11.3千克;20.9±2.6千克·米)。采用单样本卡方检验来检验整个样本以及按每个足球年龄类别(U14、U15、U17和U19)分层后的各季度球员比例分布的均匀性(相对年龄效应,RAE)。使用单向方差分析来检验以下两者之间的关联:a)类别、RAE和CMJ,以及b)青春期状态类别和CMJ。皮尔逊相关性评估变量之间的关系。各季度的出生分布与每个季度25%参与者的预期比例显著不同(χ² = 41.74;p < 0.001),突出了相对年龄效应的存在。结果表明年龄对CMJ有显著影响(F = 8.85,p < 0.001,η² = 0.187),并且发现了显著的交互作用效应(年龄×出生季度)。教练、体能教练和球探应该了解球员身体和生理上的成熟情况。