Logistic regression, stratified by diabetes status: dependent variable  PP>40

Without diabetes

Wald (df)

SE

p-value

OR

95% CI

GL-Quartiles

6.52(3)

-

0.089

-

-

GL-Q1

1.88

0.57

0.170

0.46

0.12, 1.39

GL-Q2

3.92(1)

0.49

0.048

0.38

0.15, 0.99

GL-Q3

0.03(1)

0.50

0.855

1.10

0.41, 2.94

Gender-male

1.71(1)

0.41

0.191

0.58

0.26, 1.31

Age

11.7(1)

0.02

0.001

1.06

1.03, 1.10

HTN Med

2.49(1)

0.40

0.115

0.53

0.24, 1.17

Model: without diabetes: χ2(n=175, 6) =32.1, p< 0.001, Nagelkerke R2 =0.238

With diabetes

Wald (df)

SE

p-value

OR

95% CI

GL-Quartiles

8.56(3)

-

0.036

-

-

GL-Q1

6.84(1)

0.56

0.009

4.33

1.44, 13.0

GL-Q2

5.28(1)

0.61

0.022

4.10

1.23, 13.7

GL-Q3

2.70(1)

0.58

0.100

2.58

0.83, 7.96

Gender-male

2.04(1)

0.45

0.154

0.53

0.22, 1.27

Age

2.01 (1)

0.017

0.113

1.03

0.99, 1.06

HTN med

3.18 (1)

0.43

0.075

0.47

0.20, 1.08

Model:  diabetes: χ2(n=190, 6) =17.2, p=0.009, Nagelkerke R2 =0.147

Abbreviations: PP= arterial pulse pressure; HTN meds= hypertension medications; B=coefficient; SE=standard error; GL = glycemic load; Q = quartiles
Table 3: Effect of glycemic load stratified by diabetes status on Arterial Pulse Pressure.