Table 2.
Men, n = 447 | Women, n = 446 | Interactiona | p-valueb | |
---|---|---|---|---|
OR (95% CI) | OR (95% CI) | OR (95% CI) | ||
Atrophy | ||||
Non-diabetic | Ref | Ref | Ref | |
Diabetic (model 1) | 1.14 (0.60–2.18) | 2.16 (1.00–4.67)* | 1.22 (0.50–2.94) | p = 0.66 |
Diabetic (model 2) | 1.17 (0.60–2.29) | 2.46 (1.11–5.42)* | 1.32 (0.46–2.79) | p = 0.77 |
Diabetic (model 3) | 1.00 (0.51–1.96) | 2.18 (1.00–4.72)* | 1.17 (0.48–2.87) | p = 0.71 |
WMH | ||||
Non-diabetic | Ref | Ref | ||
Diabetic (model 1) | 1.20 (0.76–1.89) | 1.11 (0.65–1.89) | 0.88 (0.47–4.00) | p = 0.70 |
Diabetic (model 2) | 1.15 (0.72–1.84) | 1.09 (0.63–1.88) | 0.85 (0.45–1.60) | p = 0.61 |
Diabetic (model 3) | 1.01 (0.63–1.62) | 1.04 (0.61–1.79) | 0.78 (0.41–1.49) | p = 0.45 |
Microbleeds | ||||
Non-diabetic | Ref | Ref | ||
Diabetic (model 1) | 0.59 (0.26–1.32) | 0.82 (0.31–2.20) | 1.04 (0.32–3.34) | p = 0.67 |
Diabetic (model 2) | 0.65 (0.28–1.49) | 0.86 (0.31–2.32) | 0.97 (0.30–3.13) | p = 0.95 |
Diabetic (model 3) | 0.46 (0.20–1.00 | 0.75 (0.28–2.03) | 0.93 (0.29–3.01) | p = 0.90 |
Lacunes | ||||
Non-diabetic | Ref | Ref | ||
Diabetic (model 1) | 1.68 (0.92–3.04) | 2.60 (1.24–2.46)* | 1.10 (0.49–6.91) | p = 0.82 |
Diabetic (model 2) | 1.64 (0.87–3.07) | 2.72 (1.24–5.93)* | 1.00 (0.41–2.10) | p = 0.84 |
Diabetic (model 3) | 1.38 (0.74–2.56) | 2.40 (1.13–5.07)* | 0.95 (0.37–1.91) | p = 0.63 |
WMH, White Matter Hyperintensities.
Data are presented as OR with (95% CI).
Model 1: adjusted for age.
Model 2: adjusted for age, smoking and alcohol consumption.
Model 3: Adjusted for age, hypertension, hypercholesterolemia, and presence of CVD (coronary disease, heart failure, atrial fibrillation, CVA or TIA, peripheral arterial disease).
*p-value < 0.05.
aInteraction term (sex multiplied by diabetes) added to the logistic regression.
bStatistical significance of the interaction term in the logistic regression analysis.