Zhang Linfeng, Wang Zengwu, Chen Zuo, Wang Xin, Zhu Manlu
Division of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China.
Prev Med Rep. 2017 Mar 23;6:191-196. doi: 10.1016/j.pmedr.2017.03.011. eCollection 2017 Jun.
Body composition monitor (BCM) based on the bioelectric impedance analysis is very convenient to use. However, whether percentage body fat (PBF) and visceral fat index (VFI) that acquired by BCM are superior to anthropometric measures is unknown. The study explored whether PBF and VFI are better than anthropometric indexes [body mass index (BMI), waist circumference (WC) and waist circumference to height ratio(WHtR)] in predicating metabolic risk factor clustering in a representive sample across China which included 9574 Chinese men and women that were investigated in 2009-2010. PBF and VFI were compared with the BMI, WC, and WHtR through the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and logistic regression. The results showed that the AUC for VFI was higher than BMI and PBF but lower than WHtR and WC in both men and Women. The AUC for WHtR, WC, VFI, BMI and PBF was 0.710, 0.706, 0.700, 0.693, 0.656 in men and 0.705, 0.699, 0.698, 0.675, 0.657 in women, respectively. After adjusting for the potential confounding factors, the odds ratios (ORs) tended to increase with all the indexes. The curve of ORs for WHtR was steepest and the curve for PBF was flattest in both men and women; the curve for VFI was similar to WC in women, but flatter than WC in men. From the data we concluded that VFI seems better than BMI and PBF, but not superior to WC and WHtR in predicating metabolic risk factor clustering in the middle-aged Chinese.
基于生物电阻抗分析的人体成分监测仪（BCM）使用起来非常方便。然而，BCM所测得的体脂百分比（PBF）和内脏脂肪指数（VFI）是否优于人体测量指标尚不清楚。本研究探讨了在2009 - 2010年对9574名中国男女进行调查的具有代表性的中国样本中，PBF和VFI在预测代谢危险因素聚集方面是否优于人体测量指标[体重指数（BMI）、腰围（WC）和腰高比（WHtR）]。通过受试者工作特征（ROC）曲线的曲线下面积（AUC）和逻辑回归，将PBF和VFI与BMI、WC和WHtR进行比较。结果显示，在男性和女性中，VFI的AUC均高于BMI和PBF，但低于WHtR和WC。男性中WHtR、WC、VFI、BMI和PBF的AUC分别为0.710、0.706、0.700、0.693、0.656，女性中分别为0.705、0.699、0.698、0.675、0.657。在调整潜在混杂因素后，所有指标的比值比（OR）均有上升趋势。在男性和女性中，WHtR的OR曲线最陡，PBF的曲线最平缓；女性中VFI的曲线与WC相似，但男性中比WC更平缓。从数据中我们得出结论，在预测中年中国人代谢危险因素聚集方面，VFI似乎优于BMI和PBF，但不优于WC和WHtR。
