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

Yao, Jia; Zhang, Yuan; Zhao, Jia; Lin, Yu-Ping; Lu, Qi-Yun; Fan, Guan-Jie

doi:10.1186/s12902-022-01112-5

Table 4 The association between dietary carbohydrate (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 carbohydrate (g/day)	0.001 (0.000, 0.001) 0.00009	−0.001 (− 0.001, − 0.000) < 0.00001	− 0.001 (− 0.002, − 0.000) 0.00040
Dietary carbohydrate categories
Q1 (1.1–161.16 g/day)	Reference	Reference	Reference
Q2 (161.17–226.13 g/day)	− 0.112 (− 0.221, − 0.003) 0.04335	−0.215 (− 0.311, − 0.119) 0.00001	−0.175 (− 0.279, − 0.071) 0.00096
Q3 (226.14–312.56 g/day)	− 0.072 (− 0.179, 0.035) 0.18429	−0.278 (− 0.373, − 0.183) < 0.00001	−0.273 (− 0.388, − 0.159) < 0.00001
Q4 (312.57–1476.76 g/day)	0.168 (0.061, 0.276) 0.00211	−0.269 (− 0.367, − 0.171) < 0.00001	− 0.296 (− 0.446, − 0.146) 0.00011
Subgroup analysis stratified by gender
Male	− 0.001 (− 0.001, − 0.000) 0.00001	− 0.001 (− 0.001, − 0.000) 0.00002	−0.001 (− 0.002, − 0.000) 0.00393
Female	−0.001 (− 0.001, − 0.000) 0.00019	−0.001 (− 0.001, − 0.000) 0.00592	−0.001 (− 0.002, 0.000) 0.11313
Subgroup analysis stratified by race/ethnicity
Mexican American	0.001 (0.000, 0.002) 0.01029	−0.000 (− 0.001, 0.000) 0.28091	0.002 (− 0.000, 0.004) 0.05702
Other Hispanic	0.001 (0.001, 0.002) 0.00110	−0.000 (− 0.001, 0.001) 0.80984	0.000 (− 0.002, 0.002) 0.75684
Non-Hispanic White	0.001 (0.000, 0.001) 0.01795	− 0.001 (− 0.001, − 0.000) 0.00119	−0.001 (− 0.002, − 0.000) 0.00389
Non-Hispanic Black	−0.000 (− 0.001, 0.000) 0.21029	−0.001 (− 0.002, − 0.000) 0.00153	−0.001 (− 0.002, 0.000) 0.14506
Other races	0.001 (0.000, 0.001) 0.03012	−0.001 (− 0.001, − 0.000) 0.02849	−0.001 (− 0.003, − 0.000) 0.01253

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

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