Table 2.

Multiple linear regression model for vascular diameter (D) and intima-media thickness/diameter ratio (IDR) and tensile stress.

	β	β st	p value	95% CI
Model 1: D, R2 = 0.22, p < 0.001
Age	0.00	0.00	0.962	− 0.02 to 0.02
Female sex	− 0.24	− 0.26	< 0.001	− 0.30 to − 0.17
BMI	0.07	0.39	< 0.001	0.05 to 0.08
SBP	− 0.01	− 0.12	0.006	− 0.01 to 0.00
DBP	0.01	0.11	0.010	0.00 to 0.01
Model 2: IDR, R2 = 0.09, p < 0.001
Age	0.00	0.06	0.204	0.00 to 0.00
Female sex	0.00	0.18	< 0.001	0.00 to 0.00
BMI	0.00	− 0.24	< 0.001	0.00 to 0.00
SBP	0.00	0.17	< 0.001	0.00 to 0.00
DBP	0.00	− 0.08	0.097	0.00 to 0.00
Model 3: tensile stress, R2 = 0.06, p < 0.001
Age	0.04	0.01	0.809	− 0.30 to 0.39
Female sex	− 2.38	− 0.13	< 0.001	− 3.73 to − 1.03
BMI	0.68	0.21	< 0.001	0.40 to 0.97

Multiple regression analysis of D, IDR, and tensile stress with different influencing, anthropometric variables. Model 1: dependent variable: D, independent variables: age, female sex, BMI, SBP, DBP; Model 2: dependent variable: IDR, independent variables: age, female sex, BMI, SBP, DBP; Model 3: dependent variable: tensile stress, independent variables: age, female sex, BMI

BMI body mass index, CI confidence interval, D vascular diameter, DBP diastolic blood pressure, IDR intima-media thickness/diameter ratio, SBP systolic blood pressure, β regression coefficients, β st standardized regression coefficients, R² adjusted R²