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Table 11 The association between diastolic blood pressure (mmHg) and serum uric acid (mg/dL)

From: Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018

 

Model 1

β (95% CI) P value

Model 2

β (95% CI) P value

Model 3

β (95% CI) P value

DBP (mmHg)

0.012 (0.009, 0.015) < 0.00001

0.003 (0.000, 0.006) 0.02054

−0.002 (− 0.005, 0.001) 0.26232

DBP categories

  < = 80 mmHg

Reference

Reference

Reference

 81–89 mmHg

0.195 (0.091, 0.299) 0.00025

−0.001 (− 0.094, 0.092) 0.98499

−0.084 (− 0.187, 0.019) 0.10826

  > = 90 mmHg

0.568 (0.413, 0.723) < 0.00001

0.205 (0.067, 0.344) 0.00374

0.031 (− 0.127, 0.189) 0.70058

Subgroup analysis stratified by gender

 Male

0.009 (0.005, 0.013) 0.00001

0.007 (0.003, 0.011) 0.00032

0.001 (−0.004, 0.006) 0.73198

 Female

0.003 (−0.000, 0.007) 0.08736

−0.000 (− 0.004, 0.003) 0.85843

−0.004 (− 0.008, 0.001) 0.09175

Subgroup analysis stratified by race/ethnicity

 Mexican American

0.016 (0.009, 0.024) 0.00002

0.006 (−0.000, 0.013) 0.06241

−0.003 (− 0.011, 0.005) 0.50551

 Other Hispanic

0.024 (0.014, 0.034) < 0.00001

0.007 (− 0.002, 0.016) 0.12152

0.003 (− 0.010, 0.016) 0.66079

 Non-Hispanic White

0.009 (0.003, 0.014) 0.00099

.000 (−0.004, 0.005) 0.83021

− 0.004 (− 0.009, 0.002) 0.21863

 Non-Hispanic Black

0.017 (0.010, 0.023) < 0.00001

0.005 (− 0.001, 0.012) 0.08842

− 0.003 (− 0.011, 0.005) 0.50348

 Other races

0.014 (0.007, 0.020) 0.00003

0.008 (0.002, 0.013) 0.01117

0.001 (− 0.006, 0.008) 0.80664

  1. Model 1: no covariates were adjusted. Model 2: age, gender, and race/ethnicity were adjusted. Model 3: age, gender, race/ethnicity, alcohol consumption, smoking behavior, education level, marital status, the ratio of family income to poverty, energy, minutes of sedentary activity, glycohemoglobin, fasting glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and systolic blood pressure were adjusted. In the subgroup analysis stratified by gender and race/ethnicity; the model is not adjusted for gender and race/ethnicity, respectively