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Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players

机译:青少年女子篮球运动员功能能力的纵向变化

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Background: The interpretation of young athletes' performance during pubertal years is important to support coaches' decisions, as performance may be erroneously interpreted due to the misalignment between chronological age (CA), biological age (BA) and sport age (SA). Aim: Using a Bayesian multilevel approach, the variation in longitudinal changes in performance was examined considering the influence of CA, BA (age at menarche), SA, body size, and exposure to training among female basketball players. Method: The study had a mixed-longitudinal design. Thirty eight female basketball players (aged 13.38 ± 1.25 years at baseline) were measured three times per season. CA, BA and SA were obtained. Anthropometric and functional measures: countermovement jump, Line drill (LD), Yo-Yo (Yo-Yo IR1). Based on the sum of the z-scores, an index of overall performance was estimated. The effects of training on longitudinal changes in performance were modeled. Results: A decrease in the rate of improvements was apparent at about 14 years of age. When aligned for BA, the slowing of the rate of improvements is apparent about 2 years after menarche for LD. For countermovement jump longitudinal changes, when performance was aligned for BA improvements became linear. For Yo-Yo IR1 and performance index, both indicators showed a linear trend of improvement when aligned for CA and BA, separately. Older players showed higher rates of improvement for Yo-Yo IR1 and performance index from pre-season to end-season. When considering performance changes aligned for BA it was apparent an improvement of performance as players became biologically mature. Conclusions and Implications: The alignment of CA with BA and SA provides important information for coaches. Human growth follows a genetically determined pattern, despite variation in both tempo and timing. When the effects of maturation reach their end, all the girls went through the same process. Hence, there is no need to artificially manipulate youth competitions in order to accelerate gains that sooner or later reach their peak and tend to flat their improvement curve.
机译:背景:对年轻运动员在青春期的表现的解释对支持教练的决定很重要,因为由于年龄(CA),生物学年龄(BA)和运动年龄(SA)之间的不一致,可能会错误地解释运动员的表现。目的:使用贝叶斯多级方法,考虑CA,BA(初潮年龄),SA,体型以及女篮球运动员接受训练的影响,检查纵向成绩的变化。方法:研究采用混合纵向设计。每个赛季对38名女篮球运动员(基准年龄为13.38±1.25岁)进行了3次测量。获得了CA,BA和SA。人体测量和功能测量:反向运动跳跃,线钻(LD),溜溜球(Yo-Yo IR1)。基于z分数的总和,可以评估总体性能指标。模拟了训练对绩效纵向变化的影响。结果:大约14岁时,改善率明显下降。当与BA保持一致时,LD初潮后约2年,改善率的降低很明显。对于反向运动跳跃的纵向变化,当性能与BA保持一致时,改进变为线性。对于悠悠球IR1和性能指标,分别针对CA和BA调整时,两个指标均显示出线性的改善趋势。年龄较大的球员显示,从季前到季末,Yo-Yo IR1的改善率和性能指数更高。当考虑与BA保持一致的表现变化时,随着球员生物学上的成熟,表现显然有所改善。结论和启示:CA与BA和SA的一致性为教练提供了重要的信息。尽管节奏和时间都有变化,但人类的成长遵循遗传决定的模式。当成熟的效果达到终点时,所有的女孩都经历了相同的过程。因此,没有必要人为地操纵青年比赛来加速早晚达到顶峰并趋于平坦其改善曲线的收益。

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