Relationship between the Prevalence of Thyroid Nodules and Metabolic Syndrome in the Iodine-Adequate Area of Hangzhou, China: A Cross-Sectional and Cohort Study
Table 1
Univariate binary logistic regression analysis: dependent variable is thyroid nodule.
Model
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.
