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Modelling developmental changes in repeated-sprint ability by chronological and skeletal ages in young soccer players

机译:通过时间和骨骼年龄对年轻足球运动员的重复冲刺能力发展变化进行建模

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摘要

This study investigated the influence of chronological (CA) and skeletal ages (SA), anthropometry, aerobic endurance and lower limb explosive strength on developmental changes in repeated-sprint ability (RSA) in soccer players aged 1117 years. Participants were annually followed over 5 years, resulting in 366 measurements. Multilevel regression modelling analysed longitudinal data aligned by CA and SA (Model 1 and 2, respectively). After diagnosing for multicollinearity, it was possible to predict RSA with 2-level hierarchical models [Model 1 (CA as Level 2 predictor): Log-Likelihood=1515.29, p<0.01; Model 2 (SA as Level 2 predictor): Log-Likelihood=1513.89, p<0.01]. Estimating sum of sprints for young soccer players are given by equations: sum of sprints=84.471.82×CA+0.03×CA20.05×aerobic endurance0.10×lower limb explosive strength 0.09×fat-free mass+0.13×fat mass (Model 1); 73.580.43×SA0.05×aerobic endurance0.10×lower limb explosive strength0.08×fat-free mass0.45×training experience+0.13×fat mass (Model 2). The models produced performance curves that may be used to estimate individual performance across adolescent years. Finally, the validity of each model was confirmed based on corresponding measurements taken on an independent cross-sectional sample.
机译:这项研究调查了按时间顺序(CA)和骨骼年龄(SA),人体测量学,有氧耐力和下肢爆炸强度对1117岁足球运动员重复冲刺能力(RSA)发育变化的影响。每年对参与者进行5年的随访,共进行366次测量。多级回归建模分析了通过CA和SA(分别为模型1和2)对齐的纵向数据。诊断多重共线性后,可以使用2级分层模型[模型1(CA作为2级预测因子):Log-Likelihood = 1515.29,p <0.01;模型2(作为2级预测因子的SA):对数似然= 1513.89,p <0.01]。通过以下公式估算青年足球运动员的冲刺总和:冲刺总和= 84.471.82×CA + 0.03×CA20.05×有氧耐力0.10×下肢爆炸强度0.09×无脂质量+ 0.13×脂肪质量模型1); 73.580.43×SA0.05×有氧耐力0.10×下肢爆炸强度0.08×无脂肪质量0.45×训练经验+ 0.13×脂肪质量(模型2)。该模型产生了性能曲线,可用于估计整个青春期的个人性能。最后,基于对独立横截面样本进行的相应测量,确认了每个模型的有效性。

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