Table 3. Multiple logistic regression analysis showing the parameters with significant independent associations with subclinical atherosclerosis in type 2 diabetes.

	Model 1		Model 2
Parameters	OR(95%CI)	P	OR(95%CI)	P
Age	1.16(1.08–1.24)	<0.001	1.04(0.98–1.11)	0.147
Sex (female)	2.90(0.82–10.22)	0.097	2.66(0.55–12.79)	0.223
BMI	1.44(1.17–1.77)	0.001	1.07(0.88–1.29)	0.513
Smoking	1.58(0.41–6.17)	0.508	1.48(0.28–7.75)	0.643
FPG	1.25(1.04–1.49)	0.016	1.09(0.90–1.31)	0.376
Fasting insulin †	0.44(0.18–1.10)	0.080	0.55(0.23–1.31)	0.180
Presence of hypertension	0.50(0.16–1.53)	0.223	1.06(0.38–2.92)	0.917
Presence of dyslipidemia	1.09(0.38–3.08)	0.878	1.15(0.43–3.08)	0.778
Lipocalin-2 †	2.10(1.06–4.16)	0.033	–	–
RBP4	–	–	1.16(1.10–1.22)	<0.001

^†Log transformed before analysis.

Models included age, sex, BMI, smoking status, fasting insulin, FPG, presence of hypertension, presence of dyslipidemia and lipocalin-2 (model 1) or RBP4 (model 2).