预测男性休马拉松运动员半程马拉松比赛的表现,使用名录
Dingbo Shu1,2,3, Jianping Wang1,3, Tong Zhou1,3
1Department of Radiology, Shaoxing people's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, China.
预测半程马拉松的成功是男性休跑者可能的. 较长的跑步距离,更快的训练步伐和更好的睡眠质量显著提高了表现,正如预测性名ogram模型所示.
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
- 运行性能分析的运行
背景情况:
- 长途跑步,特别是半程马拉松,是很受欢迎的竞争运动.
- 休跑步运动员经常寻求可访问的方法来预测他们的比赛表现.
- 开发一个预测模型可以帮助业余运动员的训练和目标设定.
研究的目的:
- 开发一个易于获取和适用的名ogram模型.
- 为了预测男性休跑步者的半程马拉松表现.
- 确定成功完成半程马拉松的关键预测因素.
主要方法:
- 招募来自中国江省的男性休半马拉松运动员.
- 采用基于文献和小组审查的调查问卷来收集数据.
- 采用描述性和二进制回归分析,随机分配到训练 (n=141) 和测试 (n=61) 集.
主要成果:
- 确定了三个重要的预测因素:每月跑步距离更长 (AOR=0.992),平均训练速度更快 (AOR=2.151),通过匹兹堡睡眠质量指数 (PSQI) 提高睡眠质量 (AOR=2.390).
- 诺米图表表现出良好的预测能力,AUC为0.750 (训练组) 和0.743 (测试组).
- 多变量分析证实了这些变量的预测能力.
结论:
- 一个名图模型显示了预测休跑者半程马拉松表现的良好潜力.
- 增加每月的跑步距离,更快的训练速度和更好的睡眠质量是提高比赛结果的关键因素.
- 开发的模型为跑步者提供了一个实际的工具来估计他们的潜在表现.
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