Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, SPAIN.
Department for Health, University of Bath, Bath, UNITED KINGDOM.
Med Sci Sports Exerc. 2024 Jun 1;56(6):1124-1133. doi: 10.1249/MSS.0000000000003405. Epub 2024 Feb 9.
The objective of this study is to evaluate the concordance of predicted maturity status classifications (pre-, circa-, or post-peak height velocity (PHV)) relative to observed age at PHV in youth soccer players.
Longitudinal height records for 124 male soccer players were extracted from academy records spanning the 2000 to 2022 seasons. Age at PHV for each player was estimated with the Superimposition by Translation and Rotation model. Players were classified as pre-, circa-, or post-PHV using both ±1- and ±0.5-yr criteria to define the circa-PHV interval. Maturity status was estimated with several prediction protocols: maturity offset (Mirwald, Moore-1, Moore-2), maturity ratio (Fransen), and percentage of predicted adult height (PAH%) using the Khamis-Roche and Tanner-Whitehouse 2 equations using several bands: 85% to 96%, 88% to 96%, 88% to 93%, and 90% to 93% for the circa-PHV interval, and visual evaluation of individual growth curves alone or with PAH% based on Khamis-Roche and Tanner-Whitehouse 2. Concordance of maturity status classifications based on complete growth curves and predicted estimates of maturity status was addressed with percentage agreement and Cohen's kappa.
Visual evaluation of the growth curves had the highest concordance (≈80%) with maturity status classifications (pre-, circa-, post-PHV) based on longitudinal data for individual players. Predicted maturity offset with the Mirwald, Moore-1, and Fransen equations misclassified about one-third to one-half of the players, whereas concordance based on PAH% varied with the band used, but not with the method of height prediction.
Visual assessment of the individual growth curves by an experienced assessor provides an accurate estimate of maturity status relative to PHV. Maturity offset prediction equations misclassify the majority of players, whereas PAH% provides a reasonably valid alternative.
本研究旨在评估预测成熟度分类(pre-PHV、circ-PHV 或 post-PHV)与青年足球运动员 PHV 时的实际年龄之间的一致性。
从 2000 年至 2022 赛季的学院记录中提取了 124 名男性足球运动员的纵向身高记录。使用翻译和旋转叠加模型估计每个运动员的 PHV 年龄。使用±1 年和±0.5 年的标准来定义 circ-PHV 间隔,将运动员分为 pre-PHV、circ-PHV 或 post-PHV。使用几种预测方案(成熟度偏移、摩尔-1、摩尔-2)、成熟度比(Fransen)和使用 Khamis-Roche 和 Tanner-Whitehouse 2 方程的预测成人身高百分比(PAH%)来估计成熟度状态,使用几个波段:85%至 96%、88%至 96%、88%至 93%和 90%至 93%用于 circ-PHV 间隔,以及单独或基于 Khamis-Roche 和 Tanner-Whitehouse 2 的 PAH%的个体生长曲线的视觉评估。使用百分比一致性和 Cohen's kappa 来解决基于完整生长曲线和预测成熟度估计的成熟度分类的一致性。
基于个别运动员的纵向数据,通过视觉评估生长曲线具有与成熟度分类(pre-PHV、circ-PHV、post-PHV)最高的一致性(≈80%)。Mirwald、Moore-1 和 Fransen 方程预测的成熟度偏移将大约三分之一到一半的运动员分类错误,而基于 PAH%的一致性因所用波段而异,但与身高预测方法无关。
经验丰富的评估员对个体生长曲线的视觉评估可提供相对于 PHV 的成熟度状态的准确估计。成熟度偏移预测方程将大多数运动员分类错误,而 PAH%提供了一个合理有效的替代方案。