Table 4: Possible predictors of better diabetes care*. Univariate and multivariate regression models.

Predictor Description Univariate regression model** Stepwise multivariate regression model***
OR 95% CI p OR 95% CI p
Lower Upper Lower Upper
Gender Male 1 (ref.)
Female 0.9 0.7 1.1 0.32 -
Patient age (years) <65 1 (ref.)
≥65 0.8 0.6 1.0 0.12 -
Patients location Urban 1 (ref.)
Rural 0.5 0.3 0.8 0.01 0.4 0.2 0.8 0.01
Mean blood pressure per year <130/80 1 (ref.)
≥130/80 0.8 0.6 0.9 0.02 0.6 0.4 0.9 0.04
HbA1C, % < 7 1 (ref.)
>=7 1.1 0.8 1.5 0.54 -
Number of diagnoses (diabetes included) ≤2 1 (ref.)
>2 0.9 0.7 1.1 0.39 2.0 1.2 3.4 0.01
Number of medicines <5 1 (ref.)
>=5 0.8 0.6 1.1 0.17 -

*Better guideline adherence, ≥5 procedures vs poor, < 5 measures done (9 indicators: HbA1c measurement >2 times a year; blood pressure measuring , ECG examination, serum creatinine, endocrinologist consultation, eye fundus examination, leg examination for pulse and neuropathy, LDL, BMI – at least one time a year).
**data from separate logistic regressions.
***only significant variables were included into final model Significant relationships are provided in bold.