Table 3

Multiple regression analysis: association between adiposity measures with CAVI and baPWV

R2 Standardised βNo standardised β (95% CI)Partial R2 p Value
CAVI
BMI0.412−0.289−0.075 (−0.083 to −0.066)0.055<0.001
WHtR0.381−0.221−3.650 (−4.207 to −3.093)0.038<0.001
CUN-BAE0.410−0.450−0.069 (−0.077 to −0.061)0.058<0.001
BRI0.378−0.215−0.142 (−0.165 to −0.120)0.037<0.001
baPWV
BMI0.402−0.100−0.057 (−0.076 to −0.038)0.007<0.001
WHtR0.394−0.044−1.557 (−2.748 to −0.366)0.0010.021
CUN-BAE0.401−0.152−0.050 (−0.068 to −0.033)0.007<0.001
BRI0.394−0.046−0.066 (−0.115 to −0.018)0.0020.014

  • Four different multiple linear regression models were used to analyse the associations of adiposity measures with CAVI and baPWV.Adjusted for age (years), gender (0=male and 1=female), systolic blood pressure, smoking (0=no and 1=yes), atherogenic index, HbA1c and METs/min/week.baPWV, brachial-ankle pulse wave velocity; BMI, body mass index; BRI, body roundness index; CAVI, cardio-ankle vascular index; CUN-BAE, Clínica Universidad de Navarra-body adiposity estimator; METs-min/week, metabolic equivalent min per week; WHtR, waist-to-height ratio.