Are dual-energy X-ray absorptiometry regional estimates associated with visceral adipose tissue mass?
Are dual-energy X-ray absorptiometry regional estimates associated with visceral adipose tissue mass?
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DOI：
10.1038/sj.ijo.0801982
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发表时间：
2002-07-01
影响因子：
4.9
通讯作者：
Gallagher, D
中科院分区：
文献类型：
--
作者：
Park, YW;Heymsfield, SB;Gallagher, D
目的：最近的研究支持使用常规全身双能X射线吸收测定法（DXA）选择的感兴趣区域（ROI）来估计腹部脂肪的可能性。这是一个重要的观察结果，因为DXA ROI估计值作为评估内脏脂肪组织（VAT）和脂肪组织分布的一种手段，比腰围或计算机断层扫描/磁共振成像（MRI）具有一些优势。本研究的目的是评估的有用性DXA腹部ROI估计评估增值税在非肥胖的manes.DESIGN：观察，横断面研究比较MRI测量的总增值税和替代措施，包括DXA ROI之间的相关性。采用逐步多元回归模型，以总VAT质量为预测方程，对象：90名非肥胖健康男性，年龄18 - 44岁，BMI < 30 kg/m2，测量：腹部脂肪组织和总VAT由全身MRI测量，VAT面积由L4-5水平的单层MRI测量，VAT体积由L4-5水平的单层MRI测量，VAT体积由L4-5水平的单层MRI测量。腹部区域脂肪的特定DXA ROI，定义为ROI A（L2-4）、B（L2-髂上段），C（下肋-上髂），和D（ROI C不包括脊柱）;和简单的人体测量。增值税总额与投资回报率的相关性（r= 0.85）和B（r= 0.84）与L4-5增值税区无显著性差异（r= 0.87），但显著高于（P < 0.01）腰围（r= 0.77）。DXA ROI和常规DXA躯干脂肪与总腹部脂肪组织的相关性最高（r=0.95-0.97）。逐步多元回归分析显示，总增值税的86%的方差是由L4-5的增值税面积、投资回报率A和腰臀比预测的。结论：DXA投资回报率（L2-4、L2-上髂动脉）与总增值税相关。非肥胖男性L4-5的MRI推导增值税面积。DXA ROI脂肪分布估计可能有助于腹部/内脏肥胖男性的早期检测。
OBJECTIVE: Recent studies support the possibility of estimating abdominal fat using a region of interest (ROI) selected by conventional whole body dual-energy X-ray absorptiometry (DXA). This is an important observation as DXA ROI estimates have some advantages over waist circumference or computed tomography/magnetic resonance imaging (MRI) as a means of assessing visceral adipose tissue (VAT) and adipose tissue distribution. The aim of this study was to evaluate the usefulness of DXA abdominal ROI estimates in assessing VAT among non-obese men.DESIGN: Observational, cross-sectional study comparing correlations between MRI-measured total VAT and surrogate measures including DXA ROIs. A stepwise multiple regression model was applied to derive a predictive equation with total VAT mass.SUBJECTS: Ninety non-obese healthy men between the ages of 18 and 44y with BMI < 30 kg/m(2).MEASUREMENTS: Abdominal adipose tissue and total VAT were measured by whole body MRI; VAT area by single-slice MRI at the L4-5 level; specific DXA ROIs for abdominal regional fat defined as ROI A (L2-4), B (L2-upper iliac), C (lower costal-upper iliac), and D (ROI C excluding spine); and simple anthropometric measures.RESULTS: Correlations between total VAT and ROIs A (r= 0.85) and B (r= 0.84) were not significantly different from that of VAT area at L4-5 (r= 0.87), but significantly higher (P < 0.01) than that of waist circumference (r= 0.77). The highest correlations with total abdominal adipose tissue were for DXA ROIs and conventional DXA trunk fat (r=0.95-0.97). A stepwise multiple regression analysis revealed that 86% of the variance in total VAT was predicted by VAT area at L4-5, ROI A, and waist-hip ratio.CONCLUSIONS: DXA ROIs (L2-4, L2-upper iliac) were associated with total VAT as well as MRI-derived VAT area at L4-5 in non-obese men. DXA ROI fat distribution estimates may be useful in the early detection of men with abdominal/visceral obesity.