Myburgh Gillian K, Cumming Sean P, Malina Robert M
National Tennis Centre, Lawn Tennis Association, 100 Priory Lane, Roehampton, London, SW15 5JQ, UK.
Sport, Health and Exercises Science Research Group, Department of Health, University of Bath, Bath, UK.
Sports Med Open. 2019 Jul 1;5(1):27. doi: 10.1186/s40798-019-0198-8.
To evaluate the concordance of skeletal age (SA) with two predicted estimates of biological maturity status in elite British youth tennis players.
Participants 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.
Kappa 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.
Maturity 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.
评估英国青少年精英网球运动员的骨龄(SA)与两种预测生物成熟状态估计值之间的一致性。
参与者为71名年龄在8至16岁的男女青少年精英网球运动员。测量体重、身高和坐高。SA(费尔斯方法)是成熟状态的标准指标。用两种方法预测成熟状态:预测身高增长高峰时的年龄和观察时预测成年身高的百分比。每种方法将运动员分为成熟较晚、平均(按时)或早熟。用kappa系数和斯皮尔曼等级相关评估分类的一致性。
两性成熟状态分类之间的kappa系数都很低,为-0.11至0.22,而基于SA和预测成熟身高百分比的成熟状态分类之间的斯皮尔曼等级相关在男性中为中等(0.35),在女性中为中等(0.25),但基于预测身高增长高峰时年龄(PHV)的相应相关性有所不同,在男孩中为中等且呈负相关(-0.37),在女孩中为低且呈正相关(0.11)。因此,在网球运动员中,基于预测方法和SA的成熟状态分类的一致性是有限的。
在这个青少年精英网球运动员样本中,与基于预测身高增长高峰时年龄的成熟状态相比,基于观察时预测成熟身高百分比的成熟状态与基于SA的成熟状态相关性更好。