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Cross-Sectional Analysis Investigating the Concordance of Maturity Status Classifications in Elite Caucasian Youth Tennis Players

机译:跨部门分析调查精英高加索青年网球运动员成熟度状态分类的一致性

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Abstract BackgroundTo evaluate the concordance of skeletal age (SA) with two predicted estimates of biological maturity status in elite British youth tennis players.MethodParticipants were 71 male and female elite youth tennis players aged 8 to 16?years. Weight, height, and sitting height were measured. SA (Fels method) was the criterion indicator of maturity status. Maturity status was predicted with two methods: predicted age at peak height velocity and percentage of predicted adult height at the time of observation. Players were classified as late, average (on time), or early maturing with each method. Concordance of classifications was evaluated with kappa coefficients and Spearman’s rank order correlations.ResultsKappa coefficients between maturity status classifications were low in both sexes, ??0.11 to 0.22, while Spearman’s rank order correlations between maturity status classifications based on SA and the percentage of predicted mature height were moderate in males (0.35) and females (0.25), but the corresponding correlations based on predicted age at peak height velocity (PHV) varied, moderate and negative in boys (??0.37) and low and positive in girls (0.11). Concordance of maturity status classifications based on the prediction methods and SA among tennis players was thus limited.ConclusionsMaturity status based on the percentage of predicted mature height at the time of observation correlated better with maturity status based on SA in contrast to status based on predicted age at PHV in this sample of elite youth tennis players.
机译:摘要背景为评估骨骼年龄(SA)与两个预测的英国精英青少年网球运动员生物学成熟度状态的一致性。方法参与者为年龄在8至16岁之间的71位男女精英青少年网球运动员。测量体重,身高和坐姿高度。 SA(Fels方法)是成熟度状态的标准指标。可以通过两种方法来预测成熟状态:在观测时的峰值高度速度下的预期年龄和预测的成年人身高的百分比。每种方法将玩家分为晚期,平均(按时)或早期成熟。结果通过kappa系数和Spearman等级顺序相关性对分类的一致性进行了评估。结果,两种性别的成熟度等级分类之间的kappa系数都较低,在0.11到0.22之间,而基于SA的成熟度等级分类之间的Spearman等级顺序相关性和预测的成熟百分比男性的身高中等(0.35),女性的身高中等(0.25),但是基于预测的最高身高速度(PHV)年龄的相应相关关系变化,男孩的中等和阴性(?? 0.37)以及女孩的低和阳性(0.11)。 。从而限制了网球运动员基于预测方法和SA的成熟状态分类的一致性。结论基于观察时预测的成熟身高百分比的成熟度状态与基于SA的成熟度状态与基于预测年龄的状态相关性更好在PHV的精英青年网球运动员样本中。

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