Institute of Sport Science, University of Rostock, Rostock, Germany.
Faculty of Physics Warsaw University of Technology, Warsaw, Poland.
Eur J Sport Sci. 2021 Mar;21(3):293-299. doi: 10.1080/17461391.2020.1736182. Epub 2020 Mar 14.
Current standards for talent identification often base on age-related cross-sectional or mixed data analyses. Longitudinal studies of elite runners from their very early to their late career are still rare, despite their need for valid talent identification and prognoses. Thus, we analysed individual performance trajectories of German international level middle-distance runners (30 females, 41 males) from an age of 14 until their top performance. Quadratic equations best fitted the individual performances from 14 years to late career in relation to the world record time. The individual trajectories were further used to construct a global performance progression model, providing annual performance estimates (mean and standard deviation of 800, 1000 and 1500 m race times in relation to the current world record time) of later top runners from early to late career. Our analysis implies that, on average, females started from a higher performance level at young age. In contrast, average performance progression of the males was higher until the age of 17 years. Performance peaked at an age of 24.0 ± 3.0 and 23.3 ± 2.6 years for the female and male runners, respectively. The provided average annual performance progressions, as well as their ranges, may help coaches and sport federations in their decision making on age-related performance criteria for talent identification in middle-distance running.
当前的人才识别标准通常基于与年龄相关的横断面或混合数据分析。尽管需要进行有效的人才识别和预测,但对精英跑步运动员从早期到职业生涯晚期的纵向研究仍然很少。因此,我们分析了德国国际中距离跑步运动员(30 名女性,41 名男性)从 14 岁到最佳表现的个人表现轨迹。二次方程最适合个人表现,从 14 岁到职业生涯后期与世界纪录时间有关。个体轨迹进一步用于构建全球表现进展模型,提供了早期到职业生涯晚期后期顶级跑步运动员的年度表现估计(与当前世界纪录时间相关的 800、1000 和 1500 米比赛时间的平均值和标准差)。我们的分析表明,女性在年轻时的表现水平更高。相比之下,男性的平均表现进展更高,直到 17 岁。女性和男性跑步运动员的表现峰值分别出现在 24.0±3.0 岁和 23.3±2.6 岁。提供的平均年度表现进展以及它们的范围可能有助于教练和体育联合会在决定与年龄相关的中距离跑步人才识别的表现标准方面做出决策。