Table 1.

Univariate binary logistic regression analysis: dependent variable is thyroid nodule.

	Model	β	P value	OR	95% C.I. for OR
SBP	1	0.013	0.000	1.014	1.011	1.016
	2	0.005	0.001	1.005	1.002	1.007
	3	0.004	0.010	1.004	1.001	1.007
DBP	1	0.014	0.000	1.014	1.011	1.017
	2	0.007	0.000	1.007	1.004	1.010
	3	0.006	0.001	1.006	1.002	1.010
WC	1	0.020	0.000	1.020	1.016	1.024
	2	0.018	0.000	1.018	1.014	1.023
	3	0.020	0.000	1.020	1.014	1.025
FBG	1	0.006	0.000	1.006	1.004	1.007
	2	0.001	0.324	1.001	0.999	1.003
	3	0.001	0.609	1.001	0.998	1.003
Insulin	1	0.007	0.032	1.007	1.001	1.014
	2	0.012	0.001	1.012	1.005	1.019
	3	0.011	0.007	1.011	1.003	1.018
HOMAIR	1	0.002	0.000	1.002	1.001	1.004
	2	0.002	0.001	1.002	1.001	1.004
	3	0.002	0.010	1.002	1.000	1.004
TG	1	0.000	0.792	1.000	1.000	1.000
	2	0.000	0.791	1.000	1.000	1.000
	3	0.000	0.836	1.000	1.000	1.000
HDL	1	−0.002	0.130	0.998	0.995	1.001
	2	−0.004	0.012	0.996	0.993	0.999
	3	−0.004	0.030	0.996	0.992	1.000

Model 1, crude; Model 2, after adjustment for age and sex; Model 3, after further adjustment for TT4 and TSH.

SBP: systolic blood pressure; DBP: diastolic blood pressure; WC: waist circumference; FBG: fasting blood glucose; HOMA-IR: homeostasis model assessment (HOMA) index for insulin resistance; TG: triglyceride; HDL: high-density lipoprotein.