为精英运动员构建和验证温盖特指数模型
1Faculty of Physical Education, Yan'an University, Yan'an 716000, China.
Heliyon
|June 17, 2024
概括
这项研究开发了一个Wingate指数模型,使用可访问的身体成分指数来预测无氧适应性. 该模型准确地估计了关键的无氧功率指标,为精英运动员提供了昂贵的循环人体测试的实用替代方案.
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
- 生物机械分析 生物机械分析
背景情况:
- 动力循环人体表测试是无氧健身的黄金标准,但成本昂贵,耗时,并且可能对比赛前的表现产生负面影响.
- 可访问的身体成分指数与无氧功率指数有很强的相关性,这表明预测建模的潜力.
研究的目的:
- 建立和验证一个Wingate指数模型,使用身体成分指数来预测精英运动员的无氧功率.
- 为传统的无氧健身测试方法提供一种实用且具有成本效益的替代方案.
主要方法:
- 一组1443名男性和女性运动员完成了高强度功率周期和身体组成测试.
- 使用收集的数据建立了回归方程,并对283名运动员的单独子组进行了验证.
- 使用SPSS 22.0和GraphPad Prism 9.4.1.1.进行了统计分析.
主要成果:
- 开发的温盖特指数模型与直接仪器测量相比没有显著差异 (p > 0.05).
- 观察到预测值在95%置信区间内的高概率:平均功率 (94.7%),平均功率/重量 (96.8%),总工作 (94.7%),峰值功率 (94.7%),峰值功率/重量 (95.8%) 和疲劳指数 (93.6%).
结论:
- 该研究成功构建并验证了回归方程,将身体成分指数与无氧功率指标联系起来.
- 这些方程证明了在精英运动员中预测无氧健身的实际实用性,为绩效评估提供了有价值的工具.
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