Improving walking speed reduces hospitalization costs in outpatients with cardiovascular disease. An analysis based on a multistrata non-parametric test

Table 2 Propensity score analysis: binary logistic regression for dummy high speed increase (dependent variable)

Explanatory variable	Estimated coefficient	p-value	Odds Ratio
Constant	22,053	0,000	–
Demographic covariates
Age	−0,0383	0,000	0,96
Gender (1:Male; 0:Female)	n.s.
Body Mass Index Variation	−0,2465	0,000	0,78
Medical history
Myocardial infarction	n.s.
Coronary artery bypass	0,4988	0,003	1,65
Percutaneous transluminal coronary angioplasty	n.s.
Valvular replacement	n.s.
Risk factors
Glycemia	n.s.
Smoke	-0,7870	0,048	0,46
Hypertension	n.s.
Angina	n.s.
Familiar history	n.s.
Hypercholesterolemia	n.s.

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