Department of Kinesiology and Health Education, University of Texas at Austin, Austin, Texas, USA.
J Sports Sci. 2012;30(15):1705-17. doi: 10.1080/02640414.2011.639382. Epub 2012 Feb 3.
The relationships among indicators of biological maturation were evaluated and concordance between classifications of maturity status in two age groups of youth soccer players examined (11-12 years, n = 87; 13-14 years, n = 93). Data included chronological age (CA), skeletal age (SA, Fels method), stage of pubic hair, predicted age at peak height velocity, and percent of predicted adult height. Players were classified as on time, late or early in maturation using the SA-CA difference, predicted age at peak height velocity, and percent of predicted mature height. Factor analyses indicated two factors in players aged 11-12 years (maturity status: percent of predicted mature height, stage of pubic hair, 59% of variance; maturity timing: SA/CA ratio, predicted age at peak height velocity, 26% of variance), and one factor in players aged 13-14 years (68% of variance). Kappa coefficients were low (0.02-0.23) and indicated poor agreement between maturity classifications. Spearman rank-order correlations between categories were low to moderate (0.16-0.50). Although the indicators were related, concordance of maturity classifications between skeletal age and predicted age at peak height velocity and percent predicted mature height was poor. Talent development programmes call for the classification of youth as early, average, and late maturing for the purpose of designing training and competition programmes. Non-invasive indicators of maturity status have limitations for this purpose.
评估了生物成熟度指标之间的关系,并检查了两个年龄组(11-12 岁,n=87;13-14 岁,n=93)青年足球运动员成熟度分类之间的一致性。数据包括实际年龄(CA)、骨骼年龄(SA,Fels 法)、阴毛阶段、预测的身高增长高峰年龄以及预测的成人身高百分比。使用 SA-CA 差异、预测的身高增长高峰年龄和预测的成熟身高百分比将运动员分类为按时、延迟或提前成熟。因素分析表明,11-12 岁的运动员有两个因素(成熟度状态:预测的成熟身高百分比、阴毛阶段,占方差的 59%;成熟时间:SA/CA 比值、预测的身高增长高峰年龄,占方差的 26%),而 13-14 岁的运动员有一个因素(占方差的 68%)。Kappa 系数较低(0.02-0.23),表明成熟分类之间的一致性较差。类别之间的 Spearman 秩相关系数较低至中等(0.16-0.50)。虽然这些指标是相关的,但骨骼年龄和预测的身高增长高峰年龄以及预测的成熟身高百分比之间的成熟度分类的一致性较差。人才发展计划要求将青年运动员分为早、中、晚成熟,以便为训练和比赛计划设计提供依据。成熟度状态的非侵入性指标在这方面存在局限性。