A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study.
A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study.
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DOI：
10.1038/s41598-017-14251-w
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发表时间：
2017-10-23
影响因子：
4.6
通讯作者：
Wang Z
中科院分区：
文献类型：
--
作者：
Wu J;Gong L;Li Q;Hu J;Zhang S;Wang Y;Zhou H;Yang S;Wang Z
中国内脏肥胖指数（CVAI）是最近开发的内脏肥胖指标。我们研究了 CVAI 对血糖异常（糖尿病前期和 2 型糖尿病）发展的预测价值，并将其预测能力与内脏肥胖指数 (VAI) 和各种人体测量指数进行比较。这项基于社区的研究包括 2,383 名参与者。我们通过进行单变量和多变量二元逻辑回归分析并根据四分位数计算接受者操作特征（ROC）曲线下的面积来评估肥胖指数的预测能力。 Logistic 回归分析显示，基线时 CVAI 较高四分位数的个体比 CVAI 较低四分位数的个体更容易出现血糖异常。 CVAI 的 ROC 曲线下面积显着高于其他肥胖指数。此外，在测试的各种肥胖指数中，CVAI 在识别男女血糖异常方面具有最大的约登指数。我们的数据表明，在中国成年人中，CVAI 比 VAI、BMI、腰围、腰臀比和腰高比更能预测 2 型糖尿病和糖尿病前期。
The Chinese visceral adiposity index (CVAI) is a recently developed indicator of visceral adiposity. We investigated the predictive value of the CVAI for the development of dysglycemia (pre-diabetes and type 2 diabetes) and compared its predictive power with that of the Visceral adiposity index (VAI) and various anthropometric indices. This community-based study included 2,383 participants. We assessed the predictive power of adiposity indices by performing univariate and multivariate binary logistic regression analysis and calculating the area under the receiver-operating characteristic (ROC) curve according to their quartiles. Logistic regression analysis showed that individuals in higher CVAI quartiles at baseline were more likely to develop dysglycemia than those in lower CVAI quartiles. The area under the ROC curve for CVAI was significantly higher than that of other adiposity indices. In addition, among the various adiposity indices tested, the CVAI had the greatest Youden index for identifying dysglycemia in both genders. Our data demonstrate that the CVAI is a better predictor of type 2 diabetes and pre-diabetes than the VAI, BMI, waist circumference, waist-to-hip ratio and waist-to-height ratio in Chinese adults.
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