Maturity status of youth football players: A noninvasive estimate
Maturity status of youth football players: A noninvasive estimate
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DOI：
10.1249/01.mss.0000171622.45134.cb
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发表时间：
2005-06-01
期刊：
影响因子：
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通讯作者：
Miller, SJ
中科院分区：
文献类型：
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作者：
Malina, RM;Cumming, SP;Miller, SJ
目的：采用非侵入性方法评价9~14岁青少年足球运动员的生物成熟状态，并比较不同年龄段青少年足球运动员的体型。方法：研究对象为密歇根州中部两个社区的青少年足球队成员。对653名8.7-14.6岁的男生进行了身高和体重测量。报告了582名男孩的亲生父母的身高，并随后根据高估进行了调整。球员的十进制年龄、身高、体重和中亲身高被用来预测男孩的成熟(成年)身高。每名球员的当前身高以其预测的成熟身高的百分比表示，以提供对生物成熟状态的估计。预测每个男孩成熟身高的百分比被表示为z分数，以将球员划分为成熟组。控制年龄的ANCOVA被用来比较不同成熟度组的体型。结果：运动员预测的成熟身高的平均百分比与纵向参考样本相匹配，但在年龄较大的球员中有较高的百分比，表明成熟程度较高。总体而言，405名男孩被归类为按时/平均成熟状态(69.6%[95%CI 65.7-73.3])，154名男孩被归类为早期/晚期(25.5%[95%CI 23.0-30.3])，只有23名男孩被归类为延迟/延迟(3.9%[95%CI 2.6-6.0])。身高、体重和BMI的梯度为：早、晚，体重和BMI的差异大于身高。结论：在给定年龄达到预期成熟身高的百分比似乎是一个合理的成熟状态指标。该方法需要用其他更直接的指标(骨龄、性成熟)进行验证，并应用于其他样本。
Purpose: To estimate the biological maturity status of youth football players 9-14 yr old using a noninvasive method and to compare the body size of players of contrasting status. Methods: Subjects were members of youth football teams in two central Michigan communities. Height and weight were measured on 653 boys 8.7-14.6 yr. Heights of biological parents of 582 boys were reported and subsequently adjusted for overestimation. Decimal age, height, and weight of the player and midparent height were used to predict mature (adult) height for the boy. Current height of each player was expressed as a percentage of his predicted mature height to provide an estimate of biological maturity status. Percentage of predicted mature height of each boy was expressed as a z-score to classify players into maturity groups. ANCOVA, controlling for age, was used to compare body size in contrasting maturity groups. Results: Mean percentages of predicted mature height of the players matched those of longitudinal reference samples, but there was a trend for higher percentages among older players, suggesting advanced maturation. Overall, 405 boys were classified as on time/average in maturity status (69.6% [95%CI 65.7-73.3]), 154 were classified as early/advanced (25.5% [95%CI 23.0-30.3]), and only 23 were classified as late/delayed (3.9% [95%CI 2.6-6.0]). The gradient for height, weight, and BMI was as follows: early > on time > late, and differences were greater for weight and the BMI than for height. Conclusion: Percentage of predicted mature height attained at a given age appears to be a reasonable indicator of maturity status. The method needs to be validated with other more direct indicators (skeletal age, sexual maturation) and applied to other samples.