Lluch Javier, Martínez-Giménez Félix, Abad Francisco, Garrido Martínez Javier
Automatics and Industrial Informatics Research Institute, Polytechnic University of Valencia, Valencia, Spain.
Pure and Applied Mathematics University Research Institute, Polytechnic University of Valencia, Valencia, Spain.
Transl Sports Med. 2025 Jun 4;2025:9969371. doi: 10.1155/tsm2/9969371. eCollection 2025.
Analyzing the performance of marathon runners is a study of vital importance for optimizing athletes' results. The COVID-19 pandemic and its measures against its spread resulted in a drastic change in the way of life of most of the population, including athletes, who saw their training habits modified, in addition to the possible short-, medium-, and long-term consequences that infection with the new virus could cause in their health. This study analyzes through normality analysis, Kolmogorov-Smirnov, Chi-square tests, and the Wasserstein distance the finish times and paces of more than 900k athletes (filtered by age range and gender) in major marathons in different cities around the world to determine the effects of the pandemic on their performance. The analysis using the Wasserstein distance shows that the period of years with the most significant differences in race pace was 2019-2021 (pre- and postpandemic years) in practically all the marathons analyzed, while the analysis using chi-square shows differences in that period of years in some cities, age, and gender groups. We found significant differences between 2019 and 2021 in pace behavior in some age and gender groups, shown by the Wasserstein distance and chi-square test.
分析马拉松运动员的表现对于优化运动员成绩至关重要。新冠疫情及其防控措施导致包括运动员在内的大多数人的生活方式发生了巨大变化，运动员的训练习惯被改变，此外感染这种新病毒可能对他们的健康造成短期、中期和长期影响。本研究通过正态性分析、柯尔莫哥洛夫-斯米尔诺夫检验、卡方检验以及瓦瑟斯坦距离，分析了全球不同城市主要马拉松赛事中90多万名运动员（按年龄范围和性别筛选）的完赛时间和配速，以确定疫情对他们表现的影响。使用瓦瑟斯坦距离的分析表明，在几乎所有分析的马拉松赛事中，比赛配速差异最为显著的年份是2019年至2021年（疫情前和疫情后），而使用卡方检验的分析表明，在这几年期间，某些城市、年龄和性别组存在差异。通过瓦瑟斯坦距离和卡方检验，我们发现2019年和2021年在一些年龄和性别组的配速行为上存在显著差异。
