Regression model independent variables | R^{2} and determinants of the variance of dependent variables | ||
---|---|---|---|

Log (CAC +1) (n = 65) | Log (PWV) (n = 52) | IMT (n = 61) | |

Model 1 | R^{2} = 0.31; P = 0.005 | ns | R^{2} = 0.36; P = 0.002 |

Age, race, sex, BMI, IS_{FFM}, HbA_{1c}, DBP, non–HDL cholesterol | BMI | Race | |

β = 0.5; P < 0.001 | β = −0.4; P = 0.005 | ||

Age | |||

β = 0.3; P = 0.02 | |||

HbA_{1c} | |||

β = 0.3; P = 0.045 | |||

Sex | |||

β = −0.2; P = 0.09 | |||

Model 2 | R^{2} = 0.41; P = 0.001 | R^{2} = 0.37; P = 0.034 | R^{2} = 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 | ||

HbA_{1c} | |||

β = 0.3; P = 0.08 | |||

Model 3 | R^{2} = 0.46; P = 0.008 | R^{2} = 0.48; P = 0.03 | R^{2} = 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.