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. 2022 Jun 29;13:879755. doi: 10.3389/fendo.2022.879755

Table 4.

Association between RBP4 and hyperuricemia according to logistic regression.

Characteristic Quartile 1 Quartile 2 Quartile 3 Quartile 4 P (trend)
n= 518 n= 519 n= 521 n= 517
Reference OR (95% CI) OR (95% CI) OR (95% CI)
Model 1 1.00 5.8 (3.73–9.07) 10.3 (6.66–15.97) 23.3 (15.04–36.12) <0.001
Model 2 1.00 5.3 (3.32–8.34) 9.7 (6.20–15.29) 20.8 (13.24–32.80) <0.001
Model 3 1.00 4.5 (2.75–7.22) 7.0 (4.33–11.26) 11.6 (7.13–18.78) <0.001
Model 4 1.00 4.5 (2.75–7.20) 6.8 (4.22–10.94) 11.3 (6.94–18.24) <0.001
Model 5 1.00 4.3 (2.44–7.45) 6.2 (3.52–10.79) 8.1 (4.38–14.88) <0.001
Model 6 1.00 4.6 (2.59–8.17) 6.0 (3.37–10.67) 7.9 (4.18–14.84) <0.001

Regression model 1: adjusted for age and sex.

Regression model 2: adjusted for model 1 covariates plus medical history (hypertension, diabetes, and CHD), education of high school or above, physical inactivity, current smoking, and current alcohol consumption.

Regression model 3: adjusted for model 2 covariates plus SBP, DBP, log TG, LDL, HDL, BMI, eGFR, FBG, and log insulin.

Regression model 4: adjusted for model 2 covariates plus SBP, DBP, log TG, LDL, HDL, BMI, eGFR, and log HOMA-IR.

Regression model 5: adjusted for model 4 covariates plus log hs-CRP, and log IL-6.

Regression model 6: adjusted for model 5 covariates plus log NAG and log ACR.