Ammann Linda, Altmann Stefan, Ruf Ludwig, Sperlich Billy
Integrative and Experimental Exercise Science, Department of Sport Science, University of Würzburg, Würzburg, Germany.
Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Front Physiol. 2023 Jan 4;13:1023378. doi: 10.3389/fphys.2022.1023378. eCollection 2022.
The aim of this study was to quantify and compare various external match load measures in three age groups and leagues in male soccer (U18 in highest league of their age group vs U21 in fourth highest league vs first team in highest league). In this retrospective observational cohort study accelerations, decelerations, absolute and relative high-speed running as well as sprint distance, dynamic stress load, explosive distance, high intensity bursts total distance, high metabolic load (HML) distance, speed intensity, total distance, total time, and total loading were assessed in 416 individual player matches of 59 players. All these external load measures showed large inter-individual variability. At a group level, one-way ANOVAs or Kruskal-Wallis tests revealed statistically significant differences between the three teams for all measures analyzed (all < 0.05), except accelerations. The first team displayed statistically significant higher dynamic stress load, explosive distance, HML distance, speed intensity, total distance and total loading compared to the two youth teams (all < 0.05). The U18 featured statistically significant higher number of decelerations, absolute and relative high-speed running distance, high metabolic load distance, speed intensity, relative sprint distance, total distance, and total time than the U21, while for U21 higher dynamic stress load was observed than for U18 (all < 0.05). Based on our data we conclude a routinely monitoring of match loads of different age groups and competitive settings to be required to 1) provide an indication of what players need to be prepared for, 2) track the athletic and match evolution, and 3) individually tailor training programs allowing players to fulfill the short- and long-term sport-specific requirements.
本研究的目的是量化和比较男子足球三个年龄组和联赛中的各种外部比赛负荷指标(同年龄组最高级别联赛的U18球员 vs 第四级别最高联赛的U21球员 vs 最高级别联赛的一线队球员)。在这项回顾性观察队列研究中,对59名球员的416场个人比赛中的加速度、减速度、绝对和相对高速奔跑以及冲刺距离、动态应力负荷、爆发力距离、高强度爆发总距离、高代谢负荷(HML)距离、速度强度、总距离、总时间和总负荷进行了评估。所有这些外部负荷指标都显示出很大的个体间差异。在组间水平上,单因素方差分析或Kruskal-Wallis检验显示,除加速度外,分析的所有指标在三个球队之间均存在统计学上的显著差异(所有P<0.05)。与两支青年队相比,一线队在动态应力负荷、爆发力距离、HML距离、速度强度、总距离和总负荷方面显示出统计学上的显著更高水平(所有P<0.05)。U18球员的减速度、绝对和相对高速奔跑距离、高代谢负荷距离、速度强度、相对冲刺距离、总距离和总时间在统计学上显著高于U21球员,而U21球员的动态应力负荷高于U18球员(所有P<0.05)。根据我们的数据,我们得出结论,需要对不同年龄组和比赛环境的比赛负荷进行常规监测,以便1)指明球员需要准备什么,2)跟踪运动能力和比赛进展,3)个性化定制训练计划,使球员能够满足短期和长期的特定运动要求。