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Table 3 Predicting diabetes based on VAI.

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-based model       
   Age (years) 1.00 0.00 0.17 0.868 0.99 1.01
   Family history of diabetes 1.67 0.18 4.79 0.000 1.36 2.07
   SBP (mm Hg) 1.01 0.00 1.69 0.091 1.00 1.02
   DBP (mm Hg) 1.01 0.01 0.82 0.411 0.99 1.02
   Current smoker 1.16 0.19 0.89 0.373 0.84 1.60
   Leisure time physical activity 0.93 0.06 -1.17 0.241 0.82 1.05
   FPG (mmol.l-1) 3.75 0.36 13.83 0.000 3.11 4.53
   PCPG (mmol.l-1) 1.50 0.05 12.16 0.000 1.41 1.60
   VAI (unit) 1.04 0.01 3.26 0.001 1.01 1.06
Nam-D'Agostino X2 (P for lack of fit) 17.1 (0.048)    
Harrell's C (95% CIs) 0.849 (0.828-0.871)    
Akaike information criterion 2650    
Bayesian information criterion 2723    
  1. BMI, body mass index; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HDL-C, high-density lipoprotein cholesterol; HR, hazard ratio; PCPG, 2-hour post-challenge plasma glucose; SBP, systolic blood pressure; TGs, triglycerides; VAI, visceral adiposity index.