马拉松比赛中的跑步变量 - - 对节奏变量的评估
Ivan Cuk1, Srdjan Markovic2, Katja Weiss3
1Faculty of Sport and Physical Education, University of Belgrade, 11000 Belgrade, Serbia.
Medicina (Kaunas, Lithuania)
|February 24, 2024
概括
这项研究发现,平均速度的绝对变化 (ACS),变化系数 (CV) 和节奏范围 (PR) 是可靠和有效的,用于分析多阶段马拉松的节奏. 这些变量有效地区分了跑步者的表现水平.
科学领域:
- 运动科学 运动科学 运动科学
- 运动生理学 运动生理学
- 运行生物机械学
背景情况:
- 节奏分析对于理解长距离跑步表现至关重要.
- 评估节奏变化传统上需要重复的长期试验.
- 多阶段的跑步活动为节奏研究提供了切实可行的替代方案.
研究的目的:
- 为了评估多阶段马拉松跑步的变化.
- 为了确定常见的节奏变量的可靠性,有效性和灵敏性.
- 为了确定长距离跑步研究的最佳节奏指标.
主要方法:
- 收集了5天马拉松比赛的20名参与者的分段和终点时间.
- 计算了七个节奏变量:CV,CS,CSF,ACS,PR,MRS,以及32-10.
- 使用统计分析 (ICC,相关性,p值) 评估可靠性,有效性和敏感性.
主要成果:
- 多阶段马拉松表现出较低的一天到一天的变化 (ICC > 0.920).
- 在ACS,CV和PR中,可靠性中等至良好 (0.732
- ACS,CV和PR是有效的 (r > 0.908) 并且对表现差异敏感 (p < 0.05).
结论:
- 建议在长途跑步研究中使用ACS,CV和PR进行节奏分析.
- 由于可靠性较低,应谨慎使用CS,CSF,MRS和32-10的变量.
- 未来的研究应该在不同的事件和人口统计数据中验证这些发现.
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