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Visceral Adiposity Index was a useful Predictor of Prediabetes.
Experimental and Clinical Endocrinology & Diabetes 2018 November
AIM: To study the relationship of visceral adiposity index (VAI) and prediabetes and the power of which in predicting of prediabetes.
METHODS: A cross-sectional epidemiological survey was conducted. All participants were divided into four groups: VAI and WC (both are normal), VAI↑ and WC (postcritical VAI and normal WC), VAI and WC↑ (Normal VAI and postcritical WC), and VAI↑ and WC↑ (postcritical VAI and postcritical WC). A multivariate logistic analysis was used to analyze the relationship between the four groups and prediabetes, and diabetes. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for prediabetes and diabetes.
RESULTS: Both VAI and WC were independent risk factors of Prediabetes. The ORs for Prediabetes in the VAI↑&WC group were 1.641 (95%CI 1.146-2.349), P=0.007, in males, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.454 (95%CI 1.055-2.005), P=0.022, in males, in Model 2. The ORs for Prediabetes in the VAI↑&WC group were 2.305 (95%CI 1.623-3.273), P=0.000, in females, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.997 (95%CI 1.529-2.608), P=0.000, in females, in Model 2. The AUC value of VAI were 0.601 (95%CI 0.568-0.634), P=0.000, in prediabetes of men; which were 0.645 (95%CI 0.618-0.672), P=0.000, in prediabetes women. WC had the highest AUC value of 0.605 (95%CI 0.571-0.638), P=0.000, in prediabetes of men, also had the highest of AUC value of 0.673 (95%CI 0.648-0.697), P=0.000, in prediabetes of women.
CONCLUSION: VAI was positively associated with prediabetes, and also a usefulindicator of prediabetes.
METHODS: A cross-sectional epidemiological survey was conducted. All participants were divided into four groups: VAI and WC (both are normal), VAI↑ and WC (postcritical VAI and normal WC), VAI and WC↑ (Normal VAI and postcritical WC), and VAI↑ and WC↑ (postcritical VAI and postcritical WC). A multivariate logistic analysis was used to analyze the relationship between the four groups and prediabetes, and diabetes. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for prediabetes and diabetes.
RESULTS: Both VAI and WC were independent risk factors of Prediabetes. The ORs for Prediabetes in the VAI↑&WC group were 1.641 (95%CI 1.146-2.349), P=0.007, in males, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.454 (95%CI 1.055-2.005), P=0.022, in males, in Model 2. The ORs for Prediabetes in the VAI↑&WC group were 2.305 (95%CI 1.623-3.273), P=0.000, in females, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.997 (95%CI 1.529-2.608), P=0.000, in females, in Model 2. The AUC value of VAI were 0.601 (95%CI 0.568-0.634), P=0.000, in prediabetes of men; which were 0.645 (95%CI 0.618-0.672), P=0.000, in prediabetes women. WC had the highest AUC value of 0.605 (95%CI 0.571-0.638), P=0.000, in prediabetes of men, also had the highest of AUC value of 0.673 (95%CI 0.648-0.697), P=0.000, in prediabetes of women.
CONCLUSION: VAI was positively associated with prediabetes, and also a usefulindicator of prediabetes.
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