Nagai Masato, Komiya Hideaki, Mori Yutaka, Ohta Teruo, Kasahara Yasuhiro, Ikeda Yoshio
Department of Exercise Physiology, Utsunomiya University, Tochigi, Japan.
Tohoku J Exp Med. 2008 Feb;214(2):105-12. doi: 10.1620/tjem.214.105.
Excessive visceral fat area (VFA) is a major risk factor in such conditions as cardiovascular disease. In assessing VFA, computed tomography (CT) is adopted as the gold standard; however, this method is cost intensive and involves radiation exposure. In contrast, the bioelectrical impedance (BI) method for estimating body composition is simple and noninvasive and thus its potential application in VFA assessment is being studied. To overcome the difference in obtained impedance due to measurement conditions, we developed a more precise estimation method by selecting the optimum body posture, electrode arrangement, and frequency. The subjects were 73 healthy volunteers, 37 men and 36 women, who underwent CT scans to assess VFA and who were measured for anthropometry parameters, subcutaneous fat layer thickness, abdominal tissue area, and impedance. Impedance was measured by the tetrapolar impedance method using multi-frequency BI. Multiple regression analysis was conducted to estimate VFA. The results revealed a strong correlation between VFA observed by CT and VFA estimated by impedance (r = 0.920). The regression equation accurately classified VFA > or = 100 cm(2) in 13 out of 14 men and 1 of 1 woman. Moreover, it classified VFA > or = 100 cm(2) or < 100 cm(2) in 3 out of 4 men and 1 of 1 woman misclassified by waist circumference (W) which was adopted as a simple index to evaluate VFA. Therefore, using this simple and convenient method for estimating VFA, we obtained an accurate assessment of VFA using the BI method.
过多的内脏脂肪面积（VFA）是心血管疾病等病症的主要危险因素。在评估VFA时，计算机断层扫描（CT）被用作金标准；然而，这种方法成本高昂且涉及辐射暴露。相比之下，用于估计身体成分的生物电阻抗（BI）方法简单且无创，因此其在VFA评估中的潜在应用正在研究中。为了克服由于测量条件导致的所获阻抗差异，我们通过选择最佳身体姿势、电极布置和频率开发了一种更精确的估计方法。研究对象为73名健康志愿者，其中37名男性和36名女性，他们接受了CT扫描以评估VFA，并测量了人体测量学参数、皮下脂肪层厚度、腹部组织面积和阻抗。使用多频BI通过四极阻抗法测量阻抗。进行多元回归分析以估计VFA。结果显示，CT观察到的VFA与通过阻抗估计的VFA之间存在强相关性（r = 0.920）。回归方程在14名男性中的13名和1名女性中准确分类出VFA≥100 cm²。此外，在被用作评估VFA的简单指标的腰围（W）误分类的4名男性中的3名和1名女性中，它将VFA≥100 cm²或＜100 cm²进行了分类。因此，使用这种简单便捷的方法估计VFA，我们通过BI方法获得了对VFA的准确评估。
