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Table 5 The association between dietary sugars (g/day) 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

Dietary sugars (g/day)

0.000 (− 0.000, 0.001) 0.08544

− 0.001 (− 0.001, − 0.000) 0.00049

− 0.001 (− 0.001, 0.000) 0.06756

Dietary sugars categories

 Q1 (0 to 56.03 g/day)

Reference

Reference

Reference

 Q2 (56.04 to 90.88 g/day)

−0.102 (− 0.211, 0.007) 0.06632

−0.144 (− 0.240, − 0.048) 0.00324

−0.092 (− 0.193, 0.009) 0.07381

 Q3 (90.89 to 138.19 g/day)

− 0.024 (− 0.131, 0.084) 0.66537

−0.176 (− 0.271, − 0.082) 0.00026

−0.126 (− 0.230, − 0.023) 0.01655

 Q4 (138.20 to 931.16 g/day)

0.017 (− 0.090, 0.124) 0.75448

− 0.239 (− 0.334, − 0.144) < 0.00001

− 0.192 (− 0.311, − 0.073) 0.00160

Subgroup analysis stratified by gender

 Male

− 0.001 (− 0.001, − 0.000) 0.00694

− 0.001 (− 0.001, − 0.000) 0.00885

− 0.000 (− 0.001, 0.000) 0.37218

 Female

− 0.001 (− 0.002, − 0.000) 0.00725

−0.001 (− 0.001, − 0.000) 0.02971

−0.000 (− 0.001, 0.000) 0.34858

Subgroup analysis stratified by race/ethnicity

 Mexican American

0.003 (0.001, 0.004) 0.00021

0.001 (−0.000, 0.003) 0.05444

0.003 (−0.002, 0.005) 0.05018

 Other Hispanic

0.002 (0.000, 0.003) 0.02712

0.000 (−0.001, 0.002) 0.76162

0.001 (−0.001, 0.003) 0.39065

 Non-Hispanic White

0.000 (−0.001, 0.001) 0.75266

−0.001 (− 0.002, − 0.000) 0.00401

−0.001 (− 0.002, 0.000) 0.05291

 Non-Hispanic Black

− 0.000 (− 0.002, 0.001) 0.38480

−0.001 (− 0.002, − 0.000) 0.02064

−0.001 (− 0.003, 0.000) 0.12336

 Other races

0.001 (− 0.000, 0.002) 0.12889

−0.001 (− 0.002, 0.001) 0.33848

−0.001 (− 0.002, 0.000) 0.18799

  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, weight, height, body mass index, waist circumference, hip circumference, glycohemoglobin, fasting glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, systolic blood pressure, and diastolic 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