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Abdominal fat ratio estimation equation by abdominal type in elderly women
Fashion and Textiles ( IF 2.3 ) Pub Date : 2021-04-25 , DOI: 10.1186/s40691-020-00241-6
Jooyeon Lee , Jinhee Park

This study was conducted to define the abdomen types of Korean elderly women and to develop an abdominal fat ratio (AFR) estimation equation using key body measurements and indexes that well represented the body type characteristics of elderly women. An analysis was performed of the correlations between the individual obesity-related measurements and index items to explain the body shape characteristics and obesity trends in elderly women. To derive the equation for estimating the AFR of elderly women, the abdominal types of elderly women were classified, and then, the distribution of each type was investigated. Then, a simple regression analysis was performed in which the dependent variable is predicted by using a single predictor. The AFR and WHtR (Waist-Height Ratio) showed a higher correlation with the obesity-related measurement items and indexes; thus, an equation was derived that enables the estimation of the AFR using simple body measurements. Additionally, the morphological differences of the various abdomen types were analyzed to provide the trends of the abdomen types depending on the AFR in the elderly. This new model for estimating abdominal fat percentage developed in the present study is significant in that it uses relatively easy-to-obtain anthropometric measures like height and waist circumference. The results of the present study demonstrated the relationship between WHtR, which not only well reflects elderly obesity but is also closely related to the prevalence of obesity in the elderly. This finding suggests that the shape of the abdomen will serve as a potential health indicator in the future.

中文翻译:

老年女性腹部类型的腹部脂肪比率估算方程

这项研究的目的是确定韩国老年妇女的腹部类型,并使用关键身体测量结果和指标来开发腹部脂肪比率(AFR)估计方程,该方程很好地代表了老年妇女的体型特征。进行了与肥胖有关的各个测量值与指标项之间的相关性分析,以解释老年妇女的体形特征和肥胖趋势。为了推导估计老年妇女的AFR的方程式,对老年妇女的腹部类型进行分类,然后研究每种类型的分布。然后,执行简单的回归分析,其中通过使用单个预测变量来预测因变量。AFR和WHtR(腰围身高比)与肥胖相关的测量项目和指标显示出更高的相关性;因此,导出了一个方程,该方程使得能够使用简单的人体测量来估算AFR。另外,分析了各种腹部类型的形态学差异,以根据老年人的AFR提供腹部类型的趋势。本研究开发的这种新的估计腹部脂肪百分比的模型很重要,因为它使用了相对容易获得的人体测量指标,例如身高和腰围。本研究的结果证明了WHtR之间的关系,不仅能很好地反映老年人肥胖,而且与老年人肥胖的发生率密切相关。
更新日期:2021-04-26
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