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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.