在人体表训练期间,精英划船员在训练负载的内部和外部测量之间的关联
Xinyu Dai1, Jihong Yan2, Xuecui Bi3
1Department of Physical Education, Xiamen University of Technology, Xiamen, Fujian, China.
Scientific reports
|December 30, 2025
概括
精英划艇者可以更好地监控训练负载,使用个性化速度 (S%) 和冲击数 (SC),以及训练冲动 (TRIMP). 这些指标比传统措施更全面地了解内部和外部培训负载.
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
- 生物力学 生物力学
背景情况:
- 传统的划船指标,如中风率和分裂时间,对生理反应的洞察力有限.
- 在划船人体计训练中,外部和内部训练负载之间的关系尚未完全理解.
研究的目的:
- 调查精英划船员内部负载指标 (TRIMP,sRPETL) 和外部负载指标之间的相关性.
- 为划船建立一个更全面的训练监测框架.
主要方法:
- 在48周的时间里,监测了30名精英男手,分析了1196次训练.
- 收集的数据包括外部负载指标 (持续时间,中风率,中风数 (SC),500米分时间) 和内部负载指标 (TRIMP,sRPETL).
- 个体化百分比的船速 (S%) 计算相对于最大速度.
主要成果:
- 大多数外部负载指标与感知劳动训练负载 (sRPETL) 的会话评级有显著的相关性,除了持续时间,分时间和中风率.
- 像SC和S%这样的个性化指标与sRPETL (r ≈ 0.40) 显示了中度的相关性.
- 多变量回归确定了SC,S%和TRIMP作为sRPETL最强的预测因素,解释了50%的差异.
结论:
- 船速的百分比 (S%),冲数 (SC) 和训练冲动 (TRIMP) 是监测精英划艇训练负载的最佳参数.
- 将个性化的速度测量与生理和感知指标相结合,可以提高训练处方的精度.
相关概念视频
Coefficient of Correlation
8.1K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
8.1K
Multiple Regression
3.7K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.7K


