Table 3

Multivariate analysis of factors associated with a good control of major cardiovascular risk factors

Variable	OR	95% Confidence limits		p Value
Demographic data
Female gender	0.82	0.77	0.88	<0.0001
Age	1.01	1.00	1.01	0.0003
BMI	0.96	0.96	0.97	<0.0001
Western Europe	1.29	1.20	1.40	<0.0001
University education	1.16	1.06	1.27	0.0014
Atherothrombotic disease location
CAD	1.18	1.09	1.28	<0.0001
CVD	0.80	0.74	0.86	<0.0001
PAD	0.63	0.58	0.69	<0.0001
Polyvascular disease (two among CAD, CVD and PAD)^*	0.82	0.77	0.88	<0.0001
Physician specialty (vs GP)
Internist	0.95	0.87	1.05	0.3120
Cardiologist	0.95	0.87	1.04	0.2947
Vascular medicine	0.50	0.44	0.57	<0.0001
Vascular surgeon	0.48	0.40	0.57	<0.0001
Neurologist	0.54	0.48	0.60	<0.0001
Endocrinologist	1.04	0.86	1.25	0.6996
Medical treatment
At least one antithrombotic agent	1.59	1.40	1.80	<0.0001
At least one lipid-lowering agent	1.16	1.08	1.24	<0.0001
Antidiabetic agent	0.56	0.53	0.60	<0.0001

Cardiovascular risk factors are considered controlled when at the following target levels: systolic blood pressure <140 mm Hg, diastolic blood pressure <90 mm Hg, glycaemia <1.1 g/l, total cholesterol <2.0 g/l, non-smoking; ‘good control’, 3–5 risk factors at target.
↵* Polyvascular disease was tested in a separate model not containing coronary artery disease (CAD), cardiovascular disease (CVD) and peripheral artery disease (PAD), due to polyvascular disease being a composed variable. All other variables remained in the initial model.
BMI, body mass index; GP, general practitioner.