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. 2011 Jan 12;10:3. doi: 10.1186/1475-2840-10-3

Table 3.

Multiple Linear Regression Analysis: Relationship Between Carotid IMT and Selected Variables: in subjects with and without type 2 diabetes

Variable Not standardized β Confidence interval 95% P
Diabetics

Dependent variable: Carotid IMT (Adjusted R2 = 0.266)

 Constante -0.43 -0.86 a -0.01 0.05
 Age 0.28 -0.01 a 0.56 0.06
 Gender 0.80 0.28 a 1.33 p < 0.01
 HR office mpb 0.16 -0.12 a 0.43 0.26
 PWV 0.11 -0.12 a 0.33 0.36
 AASI 0.31 0.05 a 0.57 0.02
 Augmentation index 0.29 0.02 a 0.55 0.03

No Diabetics

Dependent variable: Carotid IMT (Adjusted R2 = 0.520)

 Constante -0.34 -0.50 a -0.18 p < 0.01
 Age 0.55 0.43 a 0.68 p < 0.01
 Gender 0.46 0.25 a 0.68 p < 0.01
 HR office mpb -0.04 -0.14 a 0.06 0.44
 PWV 0.17 0.05 a 0.29 p < 0.01
 AASI 0.20 0.08 a 0.31 p < 0.01
 Augmentation index -0.01 -0.19a 0.11 0.91

Dependent variable: Carotic IMT: Carotic Intima-media thickness. Independent variables: Age; Gender: (male = 1; female = 0); HR: Heart rate; mbp: beats per minute AASI: Ambulatory arterial stiffness index; PWV: pulse wave velocity. R2: determination coefficient; p: statistically significant differences (p < 0.05).