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. 2017 Oct 23;7(1):13784.
doi: 10.1038/s41598-017-14251-w.

A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study

Affiliations

A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study

Jinshan Wu et al. Sci Rep. .

Abstract

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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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Odds ratio (OR, 95%CI) of various visceral obesity indices across their quartiles for diabetes (a) and pre-diabetes (b). Multivariate adjusted: the model that adjusted age, gender, TG, TC, LDL-C, SBP and DBP.
Figure 2
Figure 2
The ROC curves for the CVAI, VAI, BMI, WC, WHR and WHtR for men (a,c) and women (b,d) to diagnose type 2 diabetes and pre-diabetes. *Significant differences (P < 0.05) of the AUC for each adiposity index from the men were compared with the method of DeLong et al. (1988).
Figure 3
Figure 3
Odds ratio (OR) and 95% confidence intervals (CI) of 5-year incident diabetes for the CVAI, VAI, BMI, WC, WHR and WHtR in various subgroups. Hypertension was defined as systolic/diastolic blood pressure ≥140/90 mmHg, self-report history, or currently taking medications. Hyperlipidemia was defined as TG ≥ 1.7 mmol/L and/or HDL-C < 1.03 mmol/L (men) and HDL-C < 1.29 mmol/L (women). Pre-diabetes was defined as 7.0 mmol/L > FPG ≥ 6.1 mmol/L, 11.1 mmol/L > 2hPG ≥ 7.8 mmol/L, without a history of diabetes previously as well as a current anti-diabetes medication use.
Figure 4
Figure 4
Flow chart of study subjects for examining the incidence of diabetes and pre-diabetes.

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