动态比较学生的下肢长度在高等院校的教育
Svitlana Yu Karatieieva1, Oleksandr M Slobodian1, Yuriy Yu Moseychuk2
1BUKOVINIAN STATE MEDICAL UNIVERSITY, CHERNIVTSI, UKRAINE.
概括
这项研究追踪了学生运动员在一年内下肢长度的变化. 一个数学模型被开发来预测基于四肢长度和高度的体育能力,显示身高作为一个关键预测因素.
科学领域:
- 运动医学 运动医学
- 人类测量学 人类测量学.
- 生物机械分析 生物机械分析
背景情况:
- 了解人体测量变化对于运动员评估至关重要.
- 动态四肢长度分析可以揭示年轻运动员的发展趋势.
- 以前的研究还没有广泛模拟肢体长度来预测体育能力.
研究的目的:
- 为了动态比较不同体育运动的下肢长度.
- 开发一种数学模型,根据下肢的长度来预测运动能力.
- 为了确定运动潜力的关键人体测量预测因素.
主要方法:
- 在132名高等教育学生 (16-18岁) 下肢长度的纵向人类测量测量.
- 统计分析包括克鲁斯卡尔 - 瓦利斯测试,康诺弗 - 伊曼测试和配对的t测试.
- 使用RStudio.com开发一个预测数学模型.
主要成果:
- 在一年内,观察到右和左下肢长度显著增加 (p < 0.001).
- 开发的数学模型显示了高的确定系数 (99.8%).
- 学生运动员的身高被确定为下肢长度的重要预测因素.
结论:
- 下肢长度的动态监测有助于运动员选择和人才识别.
- 由此衍生的数学模型 (y=0.506x对右肢,y=0.507x对左肢) 根据高度准确地预测了肢体的长度.
- 身高是预测足球,排球,手球和篮球等体育运动下肢长度的一个关键因素.
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