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对11至17岁男性足球运动员的功能能力和足球专项技能的发育变化进行建模。

Modeling developmental changes in functional capacities and soccer-specific skills in male players aged 11-17 years.

作者信息

Valente-dos-Santos João, Coelho-e-Silva Manuel J, Simões Filipe, Figueiredo Antonio J, Leite Neiva, Elferink-Gemser Marije T, Malina Robert M, Sherar Lauren

机构信息

University of Coimbra, Coimbra, Portugal.

出版信息

Pediatr Exerc Sci. 2012 Nov;24(4):603-21. doi: 10.1123/pes.24.4.603.

Abstract

This study evaluates the contributions of age, growth, skeletal maturation, playing position and training to longitudinal changes in functional and skill performance in male youth soccer. Players were annually followed over 5 years (n = 83, 4.4 measurements per player). Composite scores for functional and skill domains were calculated to provide an overall estimate of performance. Players were also classified by maturity status and playing position at baseline. After testing for multicollinearity, two-level multilevel (longitudinal) regression models were obtained for functional and skill composite scores. The scores improved with age and training. Body mass was an additional predictor in both models [functional (late maturing): 13.48 + 1.05 × centered on chronological age (CA)-0.01 × centered CA(2)-0.19 × fat mass (FM) + 0.004 × annual volume training-1.04 × dribbling speed; skills (defenders): 7.62 + 0.62 × centered CA-0.06 × centered CA(2) + 0.04 × fat-free mass-0.03 x FM + 0.005 × annual volume training-0.19 × repeated-sprint ability + 0.02 × aerobic endurance]. Skeletal maturity status was a significant predictor of functional capacities and playing position of skill performance. Sound accuracy of each multilevel model was demonstrated on an independent cross-sectional sample (n = 52).

摘要

本研究评估了年龄、生长发育、骨骼成熟度、比赛位置和训练对男性青少年足球运动员功能和技能表现纵向变化的影响。对球员进行了为期5年的年度跟踪(n = 83,每位球员进行4.4次测量)。计算功能和技能领域的综合得分,以提供对表现的总体评估。在基线时,还根据成熟状态和比赛位置对球员进行了分类。在检验多重共线性之后,获得了功能和技能综合得分的两级多水平(纵向)回归模型。得分随着年龄和训练而提高。体重是两个模型中的另一个预测因素[功能(晚熟):13.48 + 1.05×以实足年龄(CA)为中心 - 0.01×以CA为中心的平方 - 0.19×脂肪量(FM) + 0.004×年训练量 - 1.04×运球速度;技能(后卫):7.62 + 0.62×以CA为中心 - 0.06×以CA为中心的平方 + 0.04×去脂体重 - 0.03×FM + 0.005×年训练量 - 0.19×反复冲刺能力 + 0.02×有氧耐力]。骨骼成熟状态是功能能力和技能表现比赛位置的重要预测因素。在一个独立的横断面样本(n = 52)上证明了每个多水平模型的良好准确性。

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