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青年足球运动员身体大小、身体素质、技术效率和基于网络的中心度测量指标的成熟相关变化。

Maturity-associated variation in the body size, physical fitness, technical efficiency, and network-based centrality measures in young soccer players.

机构信息

Department of Physical Education, School of Sports, Federal University of Santa Catarina (UFSC), University Campus, Trindade, Florianópolis, Santa Catarina, 88010-970, Brazil.

State University of Londrina (UEL), Londrina, Brazil.

出版信息

Sci Rep. 2023 May 11;13(1):7693. doi: 10.1038/s41598-023-34833-1.

Abstract

This study aimed to observe the relationships between the maturity status on the network-based centrality measures of young athletes in small-sided soccer games (SSG). The study included 81 male players (14.4 ± 1.1 years). Measurements included height, sitting height, body mass, and bone age (TW3 method). The applied protocols were the following: Countermovement Jump (CMJ), Yo-Yo Intermittent Recovery Test Level 1 (YYIRT1), Repeated Sprints Ability (RSA), observational analysis of techniques, and interactions performed by players in SSG. The relationship between the set of evaluated variables within each maturity status was obtained from the correlational analysis of networks (P < 0.05). The maturity status explained a significant portion of the variance in body mass (η = 0.37), height (η = 0.30), sitting height (η = 0.30), and performance on the YYIRT1 (η = 0.08), CMJ (η = 0.14), and RSA (η = 0.13). No effect of maturity status on network-based centrality measures of young athletes was identified (P > 0.05). For the late maturity group, there was a correlation between the degree of centrality and physical growth indicators (r = 0.88). For players with maturation "on time", physical growth indicators relate to the degree of prestige (r = 0.36). It is concluded that body size and bone age impact how late and on-time maturity groups interact within the match.

摘要

本研究旨在观察小型足球比赛(SSG)中年轻运动员网络中心度成熟度状态之间的关系。研究包括 81 名男性运动员(14.4±1.1 岁)。测量包括身高、坐高、体重和骨龄(TW3 法)。应用的方案如下:反跳(CMJ)、Yo-Yo 间歇性恢复测试 1 级(YYIRT1)、重复冲刺能力(RSA)、技术观察分析以及运动员在 SSG 中的相互作用。在每个成熟度状态下,通过网络关联分析获得评估变量集之间的关系(P<0.05)。成熟度状态解释了体重(η=0.37)、身高(η=0.30)、坐高(η=0.30)以及 YYIRT1(η=0.08)、CMJ(η=0.14)和 RSA(η=0.13)表现的方差的显著部分。成熟度状态对年轻运动员的网络中心度测量没有影响(P>0.05)。对于晚熟组,中心度与身体生长指标之间存在相关性(r=0.88)。对于成熟“按时”的运动员,身体生长指标与声望程度相关(r=0.36)。结论是,体型和骨龄影响晚熟和按时成熟组在比赛中的相互作用方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26e5/10175243/8b156c619590/41598_2023_34833_Fig1_HTML.jpg

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