When introducing all the above atherosclerotic risk factors (i.e. waist circumference, BMI, sBP, triglycerides, low HDL-cholesterol levels and HbA1c), in a multivariate regression model, whereas cIMT and group were the dependent and explanatory factors, respectively, Si abolished the significant association between cIMT and group, with no such effects for the other factors (Table 3).
Whenever the Si factor was excluded but including one or more of the other risk factors in multivariate analyses the association between cIMT and group were, again, significant (data not shown).
No statistical differences in age, disease duration, and disease activity were observed between higher and lower cIMT groups.
In a multivariate regression model, between cIMT (dependent) and group (explanatory), only adjustment for Si affected the significance (ß = 0.08, P = 0.11) vs. (ß = 0.07, P < 0.01) for the whole model.
A stepwise multivariate regression analyses were used for further testing associations between cIMT (dependent) and group (explanatory) regarding atherosclerotic risk factors, i.e. Si, BMI, waist circumference, sBP, triglycerides, HDL-cholesterol and HbA1c.
To study the association between cIMT and clinical and metabolic characteristics, Spearman correlation coefficients were estimated.
Spearman correlation coefficients were estimated to study the association between cIMT and clinical and metabolic characteristics.
There were no significant interaction effects between cIMT or cD and group (all T1DM patients and controls) for cognition, white matter integrity or functional connectivity (all Pinteraction > 0.05).
The association between cIMT and diabetes duration and age at manifestation was found by us and by other research groups [ 13, 21].
These results suggest that IMT-CB was more specific for predicting the relationship between CIMT and CAD in both age groups, while mean CIMT and IMT-CCA were only valuable in patients ≥60 years old.
