Table 3.

Correlation and multiple linear regression analysis between c-IMT and anthropometric indices.

	Correlation analysis		Multiple linear regression analysis
	R	p -value	Model R 2	Model Adjusted R 2	Standardized β	t	p -value
Traditional anthropometric indices
BMI (Kg/m2)	0.106	0.003	0.360	0.354	0.023	0.730	0.466
WHR	0.226	< 0.001	0.360	0.354	0.051	1.479	0.140
WHtR	0.266	< 0.001	0.360	0.354	0.046	1.388	0.166
Novel anthropometric indices
ABSI	0.289	< 0.001	0.362	0.356	0.079	2.381	0.018
AVI	0.250	< 0.001	0.365	0.358	0.080	2.514	0.016
BAI	0.122	0.001	0.360	0.354	0.013	0.324	0.746
BRI	0.279	< 0.001	0.365	0.358	0.077	2.316	0.021
CI	0.321	< 0.001	0.363	0.357	0.089	2.625	0.009
CUN-BAE	0.043	0.227	0.360	0.354	0.043	0.903	0.400
WWI	0.334	< 0.001	0.367	0.360	0.093	2.701	0.007

Multiple linear regression analysis adjusted by age, sex, SBP, DBP, PP, total cholesterol, HDL, LDL, triglycerides, FPG, HbA1C, and eGFR.

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, weigh adjusted waist index. Bold means statistically significant values.