基于体重和身高的相对体重指标验证的思考

Q4 Health Professions Exercise Science Pub Date : 2022-05-31 DOI:10.15857/ksep.2022.00108
Ji-Yong Park, Taek-Won Gwon
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The linear relationship between height and the indices was confirmed using regression analysis. The n value of the index (kg/mn), which provides the same value for all height ranges, was derived by regression analysis between weight and height.RESULTS: The correlation analysis between height and the indices described <i>I</i><sub>2</sub> (r=-.009, <i>p</i><.05) as the most suitable for males. The <i>I</i><sub>1</sub> and <i>I</i><sub>4</sub> (r=-.049, <i>p</i><.01) were appropriate for females. Weight showed a significant correlation with all indices. The association between body fat percentage and <i>I</i><sub>3</sub> showed a high correlation in both males (r=.722, <i>p</i><.01) and females (r=.734, <i>p</i><.01). Regression analyses represented <i>I</i><sub>2</sub> (B=-.005, <i>p</i><.05) suitability for males. 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引用次数: 0

摘要

目的:本研究旨在考虑相对体重指数的有效性,该指数用于比较不同身高的人。方法:使用韩国2017-2021年度“全民健身奖”进行横断面分析。包括18-65岁的男性(n=77705)和女性(n=84641)。分析了三个指标[I1=kg/m,I2=kg/m2/sup>,I3=kg/m3]和I4[I4=kg/m2],它们简单地降低了I1的标准误差。Pearson相关分析旨在确定一个与体重高度相关且与身高无关的指数。此外,还考虑了一个与体脂百分比高度相关的指数。通过回归分析证实了身高与各项指标之间的线性关系。指数的n值(kg/mn)是通过体重和身高之间的回归分析得出的,它为所有身高范围提供了相同的值。结果:身高与I2(r=.009,pI1和I4(r=.049,pI3)指标之间的相关性分析显示,两种雄性均具有高度相关性(r=.722,ppI2(B=.005,pI4(B=.022,pI2(kg/m2))适用于雄性。I4(kg/m2)适用于雌性。在男性和女性中,I3(kg/m3)与体脂百分比的相关性最强。
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The Consideration of Validation on the Relative Weight Indices Derived from Body Weight and Height
PURPOSE: This study aimed to consider the validity of relative weight indices, which are used to compare people of different heights.METHODS: Cross-sectional analyses were conducted using the 2017-2021 “National Fitness Award” in South Korea. Males (n=77,705) aged 18-65 years and females (n=84,641) were included. Three indices [I1=kg/m, I2=kg/m2/sup>, and I3=kg/m3] and I4 [I4=kg/ m2], which simply reduce the standard error of I1, were analyzed. Pearson's correlation analysis was conducted to determine an index that was highly correlated with weight and was independent of height. Furthermore, an index that was highly correlated with the body fat percentage was considered. The linear relationship between height and the indices was confirmed using regression analysis. The n value of the index (kg/mn), which provides the same value for all height ranges, was derived by regression analysis between weight and height.RESULTS: The correlation analysis between height and the indices described I2 (r=-.009, p<.05) as the most suitable for males. The I1 and I4 (r=-.049, p<.01) were appropriate for females. Weight showed a significant correlation with all indices. The association between body fat percentage and I3 showed a high correlation in both males (r=.722, p<.01) and females (r=.734, p<.01). Regression analyses represented I2 (B=-.005, p<.05) suitability for males. For females, I4 (B=.022, p<.01) was replaceable.CONCLUSIONS: The results of this study suggest that I2 (kg/m2) is appropriate for males. The I4 (kg/m2) was applicable to females. The I3 (kg/m3) showed the strongest correlation with body fat percentage in both males and females.
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来源期刊
Exercise Science
Exercise Science Health Professions-Physical Therapy, Sports Therapy and Rehabilitation
CiteScore
0.70
自引率
0.00%
发文量
48
审稿时长
8 weeks
期刊最新文献
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