Table 3

Association between diabetes type (type 2 vs. type 1 diabetes) and measures of arterial stiffness in multiple linear regression analysis

BrachDPWVAI75*
βPβPβP
Model 1: diabetes type, age, race, sex, site, and duration−0.57 ± 0.200.0040.62 ± 0.12<0.00014.27 ± 1.470.004
Model 2: model 1 + A1C−0.51 ± 0.200.010.67 ± 0.13<0.00014.53 ± 1.510.003
Model 3: model 1 + A1C + waist circumference0.13 ± 0.210.510.24 ± 0.130.073.59 ± 1.690.03
Model 4: model 1 + A1C + LDL cholesterol, HDL cholesterol−0.45 ± 0.210.040.57 ± 0.13<0.00013.73 ± 1.580.02
Model 5: model 1 + A1C + SBP−0.25 ± 0.170.150.45 ± 0.130.00042.57 ± 1.610.11
Model 6: model 1 + A1C + DBP−0.50 ± 0.200.010.45 ± 0.120.00022.23 ± 1.570.16
Model 7: model 1 + A1C + waist + LDL cholesterol, HDL cholesterol + SBP and DBP−0.01 ± 0.160.0.15 ± 0.130.231.75 ± 1.740.31
Model 8: model 2 + waist + LDL cholesterol, HDL cholesterol + pulse pressure−0.01 ± 0.160.930.14 ± 0.140.321.74 ± 1.780.33
  • Data are β coefficients ± SEM. β coefficients represent the differences in BrachD, PWV, and AI75 in subjects with type 2 diabetes compared with those with type 1 diabetes when adjusting for the variables included in the regression model.

  • *Regression models for AI75 include an adjustment for height.