Table 2.

Correlation and multiple linear regression analysis between serum uric acid levels and anthropometric indices.

	Correlation Analysis		Multiple Linear Regression Analysis
	R	p-Value	Model R2	Model Adjusted R2	Standardized β	t	p-Value
Traditional anthropometric indices
BMI (kg/m2)	0.209	<0.001	0.189	0.181	0.136	4.12	<0.001
WHR	0.282	<0.001	0.171	0.163	0.092	2.60	0.009
WHtR	0.195	<0.001	0.179	0.171	0.136	4.18	<0.001
Novel anthropometric indices
ABSI	0.112	<0.001	0.166	0.157	−0.003	−0.055	0.649
AVI	0.274	<0.001	0.182	0.174	0.147	4.59	<0.001
BAI	−0.055	0.040	0.141	0.163	0.098	2.68	0.007
BRI	0.188	<0.001	0.181	0.173	0.141	4.40	<0.001
CI	0.174	<0.001	0.167	0.159	0.040	1.22	0.221
CUN-BAE	−0.062	0.042	0.188	0.180	0.237	5.35	<0.001
WWI	−0.222	<0.001	0.169	0.161	−0.083	−2.19	0.029

Multiple linear regression analysis adjusted by age, sex, SBP, DBP, PP, total cholesterol, HDL, LDL, triglycerides, FPG, and HbA1C. Abbreviations: ABSI, a body shape index; AVI, abdominal volume index; BAI, body adiposity index; BMI, body mass index; BRI, body roundness index; CI, conicity index; CUN-BAE, Clínica Universidad de Navarra-Body Adiposity Estimator; WHR, waist-to-hip ratio; WHtR, waist-to-height ratio; WWI, weight-adjusted waist index.