Mousa U, Kut A, Bozkus Y, Cicek Demir C, Anil C, Bascil Tutuncu N
Department of Endocrinology and Metabolism, Baskent University Faculty of Medicine, Ankara, 06490 Bahcelievler, Turkey.
Exp Clin Endocrinol Diabetes. 2013 Jul;121(7):391-6. doi: 10.1055/s-0033-1341473. Epub 2013 May 21.
Although obesity is a powerful risk factor for metabolic syndrome (MetS) it is not present in all obese individuals. Increased visceral adipose tissue is the hallmark of this syndrome. In this cross sectional survey we aimed to use abdominal bioelectrical impedance analysis to measure the visceral adipose tissue (VAT) and trunk fat percentages (TF%) in the study population, correlate these findings with traditional anthropometric measures and biochemical parameters of metabolic syndrome and estimate a cut-off value of visceral fat for development of MetS. A total of 285 subjects were enrolled. VAT and TF% were measured by the AB-140 device via abdominal bioelectrical impedance analysis. Fat% was measured by a body composition analyzer (TBF-300). VAT was significantly positively correlated with body mass index, waist circumference, TF%, HOMA IR, fat percentage, fasting plasma glucose and triglycerides. Strongest correlations were between VAT and TF%, VAT and device measured waist circumference and between VAT and manual waist circumference (r=0.95, r=0.93, r=0.92 respectively). Correlations of VAT and TF% with metabolic parameters were significant but weak. The mean VAT and TF% in MetS (+) groups were significantly higher than patients in MetS (-) groups in both sexes. The areas under the ROC curves were 0.730 (95% CI: 0.661-0.791) for female VAT and 0.702 (95% CI: 0.654-0.749) for male VAT in predicting MetS which were similar to the areas under ROC curves calculated for device and manually measured waist circumference, HOMA IR and TF% in predicting MetS (p>0.05 for all comparisons). The accuracy of VAT and TF% for predicting MetS was not sufficient. From our results we can deduce that the performance of abdominal BIA in predicting MetS is weak but could be used in the follow-up of patients with obesity and/or MetS. This has to be confirmed in future studies.
尽管肥胖是代谢综合征（MetS）的一个重要危险因素，但并非所有肥胖个体都患有该综合征。内脏脂肪组织增加是该综合征的标志。在这项横断面调查中，我们旨在使用腹部生物电阻抗分析来测量研究人群的内脏脂肪组织（VAT）和躯干脂肪百分比（TF%），将这些结果与传统人体测量指标以及代谢综合征的生化参数相关联，并估计发生MetS的内脏脂肪临界值。总共招募了285名受试者。通过AB - 140设备经腹部生物电阻抗分析测量VAT和TF%。使用身体成分分析仪（TBF - 300）测量脂肪百分比。VAT与体重指数、腰围、TF%、HOMA - IR、脂肪百分比、空腹血糖和甘油三酯显著正相关。最强的相关性存在于VAT与TF%之间、VAT与仪器测量的腰围之间以及VAT与手动测量的腰围之间（分别为r = 0.95、r = 0.93、r = 0.92）。VAT和TF%与代谢参数的相关性显著但较弱。在男性和女性中，MetS（+）组的平均VAT和TF%均显著高于MetS（ - ）组的患者。在预测MetS方面，女性VAT的ROC曲线下面积为0.730（95%CI：0.661 - 0.791），男性VAT的为0.702（95%CI：0.654 - 0.749），这与为仪器和手动测量的腰围、HOMA - IR和TF%在预测MetS时计算的ROC曲线下面积相似（所有比较p>0.05）。VAT和TF%预测MetS的准确性不足。从我们的结果可以推断，腹部生物电阻抗分析在预测MetS方面表现较弱，但可用于肥胖和/或MetS患者的随访。这有待未来研究证实。
