种族和地理位置对残疾人运动员的最大允许站立高度方程的有效性产生影响
Brian S Baum1,2, Constance Man3
1, Cambridge, USA. bsbaumres@gmail.com.
Scientific reports
|March 20, 2024
概括
在残疾人体育运动中使用的最大允许站立高度 (MASH) 方程并不普遍有效. 这项研究发现,在下肢截肢的运动员中,身高估计的准确性存在显著的种族和地理差异.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 人类测量学 人类测量学.
背景情况:
- 世界田径运动会使用最大允许站立高度 (MASH) 方程来确定下肢截肢的残疾运动员的假肢长度.
- 这些方程最初是为西班牙白人群体开发的,在各种种族和地理群体中有效性有限.
- 较长的假肢可以赋予跑步性能优势,需要准确的身高估计.
研究的目的:
- 评估MASH方程对黑人和白人美国残疾人运动员的有效性.
- 为了比较这些种族群体之间的身高计算中的潜在偏差错误.
主要方法:
- 利用美国陆军人员人体测量数据库中的人体测量数据 (坐高,大腿长,手臂长度,手臂跨度).
- 包括1899名男性和1127名女性黑人和白人美国参与者.
- 应用了六个特定于性别的MASH方程来比较计算与测量的身高在种族群体内和种族群体之间.
主要成果:
- 在12个MASH方程中,只有2个准确计算了黑人美国人的身高.
- 在12个MASH方程中,有3个适用于白人美国人.
- 观察到偏见错误的显著差异,10个方程显示黑人美国人与白人美国人相比较低/高估,2个方程反之亦然.
结论:
- 马什方程的有效性受到种族和地理来源的重大影响.
- 当前的MASH方程可能无法为各种各样的残疾人运动员群体提供准确的身高估计.
- 需要进一步的研究,以开发更具包容性和准确的身高估计方法,用于残疾人体育运动.
更多相关视频
06:52An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
Published on: May 26, 2020
7.9K
08:24Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
Published on: August 30, 2016
10.2K
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
Range Rule of Thumb to Interpret Standard Deviation
9.0K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
9.0K
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Applications of Normal Distribution
5.0K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
5.0K
Impact: Problem Solving
223
In an experiment conducted during a Mars mission, a rover propels a projectile with an initial velocity, and the projectile rebounds after colliding with the Martian surface. To ascertain the maximum height attained by the projectile after this collision, the known restitution coefficient and acceleration due to gravity are employed.
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
223
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
