Malina Robert M, Cumming Sean P, Morano Peter J, Barron Mary, Miller Susan J
Tarleton State University, Stephenville, TX, USA.
Med Sci Sports Exerc. 2005 Jun;37(6):1044-52.
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.
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.
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.
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.
采用非侵入性方法评估9至14岁青少年足球运动员的生物成熟状态,并比较不同成熟状态球员的身体尺寸。
研究对象为密歇根州中部两个社区青少年足球队的队员。对653名年龄在8.7至14.6岁的男孩进行了身高和体重测量。报告了582名男孩亲生父母的身高,并对高估情况进行了调整。利用球员的实际年龄、身高、体重以及父母平均身高来预测男孩的成熟(成人)身高。将每个球员的当前身高表示为其预测成熟身高的百分比,以评估生物成熟状态。将每个男孩预测成熟身高的百分比表示为z分数,以便将球员分为不同的成熟组。采用协方差分析(控制年龄因素)比较不同成熟组的身体尺寸。
球员预测成熟身高的平均百分比与纵向参考样本相符,但年龄较大的球员百分比有升高趋势,表明成熟度提前。总体而言,405名男孩的成熟状态被归类为按时/平均(69.6%[95%置信区间65.7 - 73.3]),154名被归类为早熟/提前(25.5%[95%置信区间23.0 - 30.3]),只有23名被归类为晚熟/延迟(3.9%[95%置信区间2.6 - 6.0])。身高、体重和体重指数的梯度如下:早熟>按时>晚熟,体重和体重指数的差异比身高差异更大。
在特定年龄达到的预测成熟身高百分比似乎是成熟状态的合理指标。该方法需要用其他更直接的指标(骨骼年龄、性成熟)进行验证,并应用于其他样本。