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

Table 2 Predicting diabetes based on VAI components.

	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

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.

ISSN: 1476-511X