Table 4.

Results of Forward Binary Logistic Regression (OR: odds ratio; CI95%: 95% confidence interval, p-Value in bold if statistically significant).

Dependent Variable	Variables into the Model	OR	p-Value	CI95%	Explained Variance	Variables out of the Model
Return to work	MBI f-up	7.5	0.002	2.04; 27.59	72.9%	Age: p = 0.527 Gender: p = 0.805 Treatment: p = 0.728 Time from stroke: p = 0.610 MBI pre-R: =0.128 MBI post-R = 0.740
SF-12 Total score	Work as before (job type and time)	6.6	0.026	1.2; 34.9	64.6%	Age: p = 0.459 Treatment: p = 0.449 Time from stroke: p = 0.174 Gender: p = 0.497 Return to work: p = 0.613 MBI pre-R: p = 0.331 MBI post-R: p = 0.269 MBI f-up: p = 0.383