根据他们的表现对中长距离跑步者的分类
S Iljukov1,2, P Iljukov3, J-P Kauppi4
1Sports and Exercise Medicine, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Journal of sports sciences
|January 30, 2024
概括
本研究介绍了一种数据驱动的方法,根据比赛结果对中长距离跑者进行分类. 这种分类系统为运动员提供了明确的绩效标准和研究一致性.
科学领域:
- 运动科学 运动科学 运动科学
- 田径运动绩效分析分析
背景情况:
- 在对中长距离跑者进行分类方面缺乏共识.
- 不一致的分类可以导致不代表性样本和误导性的研究结论.
研究的目的:
- 为中长距离跑步者开发一个数据驱动的分类系统.
- 建立统一的标准来评估运动员的技能水平.
主要方法:
- 收集了来自主要和国家锦标赛 (2012-2018) 赛道跑者的年度最佳表现结果.
- 分析了1920年男性和1808年女性的结果,使用二次差异分析.
- 分组结果以定义性能类别限制.
主要成果:
- 提出了三个绩效类别:世界级,国际和国家级.
- 该分类提供了对不同级别的运动员表现标准的现实概述.
- 提供数据驱动,统一的标准报告运动员的熟练程度.
结论:
- 开发的分类系统为中长距离跑步者提供了一致和现实的绩效标准.
- 这种数据驱动的方法提高了在研究中报告目标人群的一致性.
- 该分类在科学研究和实际运动背景下都有潜在的应用.
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