"贡献"和"与"高跳的有效高度能量共享差异之间的差异
Natsuki Sado1, Toshihide Fujimori2, Naoto Tobe1,3
1Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.
Journal of sports sciences
|March 28, 2024
概括
在高跳中,较小的身体部分对高度的贡献可以解释个体性能差异,而不仅仅是最大的差异. 这表明运动员在达到顶峰表现时有不同的策略.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 人类运动分析 人类运动分析
背景情况:
- 高跳的性能依赖于将水平动能转换为垂直高度.
- 以前的研究往往集中在跳高的主要贡献者.
研究的目的:
- 研究来自不同身体部分的能量贡献与高跳表现的个体间差异之间的关系.
- 为了确定较小的跳跃高度贡献者是否比较大的更好地解释性能变化.
主要方法:
- 对15名男性运动员高跳技术的分析,他们有不同的个人最佳记录 (1.90-2.31m).
- 从特定的身体部分 (例如,立场-腿大腿,,胸部,立场-腿-脚) 提供能量贡献的量化.
- 统计分析 (差异共享,相关性) 来评估细分贡献和总跳跃高度之间的关系.
主要成果:
- 最大的能量贡献来自立场腿大腿 (36%) 和腿部 (34%),但这些与跳跃总高度没有显著相关.
- 来自胸部 (11%) 和姿势-腿-脚 (4%) 分段的较小贡献与总跳跃高度 (r2 > 0.30) 显著共享差异.
- 在立场腿大腿和腿部贡献之间观察到强烈的权衡 (r2 = 0.60).
结论:
- 高能量的贡献者并不一定解释机器性能之间的个人差异.
- 较小的贡献者可以在解释表现变化方面发挥关键作用,突出了实现运动成功的各种策略.
- 了解这些细微差别是优化跳高训练和技术分析的关键.
相关概念视频
Variation: Normal Distribution, Range, and Standard Deviation
22.3K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
22.3K
Energy Diagrams - I
5.0K
The dynamics of a mechanical system can be easily understood by interpreting a potential energy diagram. Since energy is a scalar quantity, the interpretation of the dynamics of the system becomes even simpler.
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
5.0K
Variation
6.8K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
6.8K
Energy Diagrams - II
4.6K
Energy diagrams are important to understand the dynamics of a system. The topology of an energy diagram helps illustrate the equilibrium points of the system.
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
4.6K
Coefficient of Correlation
6.1K
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...
6.1K
One-Way ANOVA: Unequal Sample Sizes
5.8K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
5.8K


