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超声测量腹部和臀股部脂肪厚度作为安卓/女性型比值的预测指标。

Ultrasonographic measurement of abdominal and gluteal-femoral fat thickness as a predictor for android/gynoid ratio.

机构信息

Department of Radiology, Faculty of Medicine Universitas Indonesia - Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.

Department of Radiology, Faculty of Medicine Universitas Indonesia - Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.

出版信息

Eur J Radiol. 2022 Sep;154:110387. doi: 10.1016/j.ejrad.2022.110387. Epub 2022 May 31.

Abstract

OBJECTIVE

To evaluate the use of ultrasonography (US) as an alternative to dual-energy x-ray absorptiometry (DXA) to predict the percentage ratio of android/gynoid (A/G) fat mass.

METHODS

This was a cross-sectional study. Twenty-eight participants included in the study underwent whole-body DXA examinations and the A/G ratio was calculated. Soft-tissue US was performed in several standardised anthropometric areas of the body. Correlation analysis between abdominal and gluteal-femoral fat thickness based on US and A/G ratio was conducted using the Pearson or Spearman test depending on the data normality. Multiple regression analysis using the backward stepwise method was performed to establish an equation for estimating the A/G ratio.

RESULTS

There was a strong and significant correlation between fat thickness in the six anthropometric areas and the A/G ratio in female participants. The analysis revealed three anthropometric areas: upper abdomen (S4), lower abdomen (S5), and mid-xiphoid-umbilical region (S7), that can accurately predict the A/G ratio by 82.3%. (P < 0.05). However, no such correlation was found in male participants.

CONCLUSIONS

US measurement of fat thickness can predict A/G ratio in the female population. However, this method is not recommended for men.

摘要

目的

评估超声(US)作为双能 X 射线吸收法(DXA)的替代方法,用于预测安卓/臀(A/G)脂肪量的百分比比值。

方法

这是一项横断面研究。28 名参与者接受了全身 DXA 检查,并计算了 A/G 比值。在身体的几个标准人体测量区域进行了软组织 US 检查。根据数据正态性,使用 Pearson 或 Spearman 检验对基于 US 的腹部和臀股脂肪厚度与 A/G 比值之间的相关性进行了分析。使用逐步后退法进行多元回归分析,以建立估计 A/G 比值的方程。

结果

在女性参与者中,六个人体测量区域的脂肪厚度与 A/G 比值之间存在强而显著的相关性。分析显示,三个人体测量区域(上腹部[S4]、下腹部[S5]和剑突-脐区[S7])可以准确预测 82.3%的 A/G 比值(P<0.05)。然而,在男性参与者中没有发现这种相关性。

结论

US 测量脂肪厚度可以预测女性人群中的 A/G 比值。然而,这种方法不推荐用于男性。

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