Table 2

Determinants of CAC, PWV, and IMT in linear regression analyses

Regression model independent variablesR2 and determinants of the variance of dependent variables
Log (CAC +1) (n = 65)Log (PWV) (n = 52)IMT (n = 61)
Model 1R2 = 0.31; P = 0.005nsR2 = 0.36; P = 0.002
 Age, race, sex, BMI, ISFFM, HbA1c, DBP, non–HDL cholesterolBMIRace
β = 0.5; P < 0.001β = −0.4; P = 0.005
Age
β = 0.3; P = 0.02
HbA1c
β = 0.3; P = 0.045 
Sex 
β = −0.2; P = 0.09 
Model 2R2 = 0.41; P = 0.001R2 = 0.37; P = 0.034R2 = 0.34; P = 0.02
 Variables in model 1 + leptin BMI Leptin Race 
β = 0.6; P = 0.001 β = 0.7; P = 0.005 β = −0.3; P = 0.03 
Age Age 
β = 0.3; P = 0.06 β = 0.3; P = 0.04 
HbA1c
β = 0.3; P = 0.08 
Model 3 R2 = 0.46; P = 0.008 R2 = 0.48; P = 0.03 R2 = 0.4; P = 0.04 
 Variables in model 2 + PAI-1 BMI PAI-1 Race 
β = 0.6; P = 0.003 β = 0.4; P = 0.02 β = −0.3; P = 0.045 
Age 
β = 0.3; P = 0.05 
  • DBP, diastolic BP; ns, not significant.