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Table 2 Predicting diabetes based on VAI components.

From: Predictive performance of the visceral adiposity index for a visceral adiposity-related risk: Type 2 Diabetes

  HR SE Wald statistic P value 95% CIs
      Lower Upper
VAI components-based model       
   Age (years) 1.00 0.01 -0.20 0.841 0.99 1.01
   Family history of diabetes 1.62 0.17 4.44 0.000 1.31 2.00
   SBP (mm Hg) 1.01 0.00 1.62 0.106 1.00 1.01
   DBP (mm Hg) 1.00 0.01 -0.02 0.988 0.99 1.01
   Current smoker 1.08 0.18 0.45 0.656 0.77 1.50
   Leisure time physical activity 0.92 0.06 -1.40 0.161 0.81 1.04
   FPG (mmol.l-1) 3.56 0.34 13.20 0.000 2.95 4.29
   PCPG (mmol.l-1) 1.49 0.05 11.83 0.000 1.39 1.59
   Waist circumference (cm) 1.02 0.01 1.69 0.092 1.00 1.03
   BMI (kg.m-2) 1.02 0.02 0.93 0.350 0.98 1.06
   Log-TGs (mmol.l-1) 1.17 0.13 1.40 0.161 0.94 1.45
   HDL-C (mmol.l-1) 0.75 0.17 -1.26 0.209 0.47 1.18
Nam-D'Agostino X2 (P for lack of fit) 28.3 (0.001)    
Harrell's C (95% CIs) 0.848 (0.827-0.869)    
Akaike information criterion 2632    
Bayesian information criterion 2726    
  1. BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HDL-C, high-density lipoprotein cholesterol; PCPG, 2-hour post-challenge plasma glucose; SBP, systolic blood pressure; TGs, triglycerides.