Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy.
NeuroMuscularFunction Research Group, School of Exercise & Sport Sciences, SUISM, University of Turin, Turin, Italy.
J Sports Sci. 2021 Nov;39(22):2603-2610. doi: 10.1080/02640414.2021.1947618. Epub 2021 Jul 1.
This retrospective study investigated whether corrective adjustment procedures can remove the relative age effect (RAE) from world-class junior sprinters at the beginning of their career. A total of 2,918 male and 3,029 female athletes competing in sprint races (100 m, 200 m, and 400 m) of the World Athletics lists between 2000 and 2018 were considered. Longitudinal quadratic trendline equations across ages 16-25 yrs were calculated considering athletes' exact age and respective performance. Corrective adjustment calculations from the estimated longitudinal quadratic equations were applied at 16 yrs and 17 yrs. RAE was investigated for the whole sample and top-level athletes (i.e., first Top50 and Top100) considering the uncorrected and corrected performance. Moderate to large RAE was observed in Top50 and Top100 at 16 yrs. Differently, a lower RAE was observed at 17 yrs. When re-examining the data using the corrective adjustment calculations, the RAE disappeared in all sprint events and both genders at 16 yrs, while a more equal distribution was observed at 17 yrs. Corrective adjustment procedures can remove or at least reduce the RAE in world-class sprinters. Applying simple equations based on exact age might improve the accuracy of performance evaluation and talent identification in international track and field sprint competitions.
本回顾性研究调查了在职业生涯早期,是否可以通过矫正调整程序消除世界级青少年短跑运动员的相对年龄效应(RAE)。考虑了 2000 年至 2018 年期间在世界田径名单中参加短跑比赛(100 米、200 米和 400 米)的 2918 名男性和 3029 名女性运动员。根据运动员的实际年龄和各自的表现,计算了 16-25 岁的纵向二次趋势线方程。在 16 岁和 17 岁时应用从估计的纵向二次方程中得出的矫正调整计算。考虑到未校正和校正的表现,对整个样本和顶级运动员(即前 50 名和前 100 名)进行了 RAE 研究。在 16 岁时,前 50 名和前 100 名中观察到中度至较大的 RAE。不同的是,在 17 岁时观察到较低的 RAE。当使用矫正调整计算重新检查数据时,16 岁时所有短跑项目和男女运动员的 RAE 都消失了,而 17 岁时则观察到更平等的分布。矫正调整程序可以消除或至少减少世界级短跑运动员的 RAE。应用基于实际年龄的简单方程可能会提高国际田径短跑比赛中表现评估和人才识别的准确性。