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Table 3 The association between dietary energy intake (kcal/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 energy intake (kcal/day)

0.000 (0.000, 0.000) < 0.00001

0.000 (0.000, 0.000) < 0.00001

0.000 (0.000, 0.000) 0.01057

Dietary energy intake categories

 Q1 (3 to 1401 kcal/day)

Reference

Reference

Reference

 Q2 (1402 to 1933 kcal/day)

−0.029 (− 0.141, 0.082) 0.60497

− 0.029 (− 0.139, 0.081) 0.60775

−0.062 (− 0.177, 0.053) 0.29249

 Q3 (1934 to 2618 kcal/day)

0.091 (− 0.018, 0.200) 0.10076

0.108 (0.000, 0.216) 0.04964

− 0.007 (− 0.121, 0.107) 0.90356

 Q4 (2619 to 12,501 kcal/day)

0.369 (0.261, 0.477) < 0.00001

0.402 (0.295, 0.510) < 0.00001

0.150 (0.036, 0.265) 0.01025

Subgroup analysis stratified by gender

 Male

−0.000 (− 0.000, − 0.000) 0.03811

−0.000 (− 0.000, 0.000) 0.05576

−0.000 (− 0.000, 0.000) 0.05735

 Female

− 0.000 (− 0.000, − 0.000) 0.00078

−0.000 (− 0.000, − 0.000) 0.01701

−0.000 (− 0.000, 0.000) 0.06202

Subgroup analysis stratified by race/ethnicity

 Mexican American

0.000 (0.000, 0.000) 0.00741

0.000 (0.000, 0.000) 0.00594

0.000 (−0.000, 0.000) 0.59359

 Other Hispanic

0.000 (0.000, 0.000) 0.00351

0.000 (0.000, 0.000) 0.00066

0.000 (−0.000, 0.000) 0.42501

 Non-Hispanic White

0.000 (0.000, 0.000) < 0.00001

0.000 (0.000, 0.000) < 0.00001

0.000 (−0.000, 0.000) 0.15089

 Non-Hispanic Black

−0.000 (− 0.000, 0.000) 0.71615

0.000 (− 0.000, 0.000) 0.41964

0.000 (− 0.000, 0.000) 0.50106

Other races

0.000 (0.000, 0.000) < 0.00001

0.000 (0.000, 0.000) < 0.00001

0.000 (0.000, 0.000) 0.01609

  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, minutes of sedentary activity, 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