Predictors of ambulatory recovery and walking proficiency in community-dwelling stroke survivors: a cross-sectional study

Bulletin of Faculty of Physical Therapy

Table 3 Standard multiple regression analysis for the prediction of ambulatory self-confidence

Dependent variable	Predictors	SE	β	t-val.	p-value	95% CI
Ambulatory self-confidence	(Constant)	20.61		−3.54	0.001	−113.7 to −32.3
	LEMF	0.33	0.009	0.14	0.888	−0.60–0.69
	MBL	0.37	0.249	4.24	<0.00*	0.84–2.30
	PSTPL	0.22	0.116	1.67	0.098	−0.07–0.80
	Gait speed	10.75	0.185	2.56	0.012*	6.25–48.72
	Cadence	0.11	0.052	0.80	0.426	−0.13–0.31
	PSWT	4.56	−0.009	−0.14	0.886	−9.67–8.36
	PSTT	4.16	−0.119	−1.55	0.124	−14.66–1.78
	PIDLST	4.97	0.155	2.27	0.025*	1.46–21.11
	Balance	0.25	0.334	4.56	<0.00*	0.66–1.66
	Cognition	0.18	0.155	2.57	0.011*	0.11–0.82

Final regression model for predicting ambulatory self-confidence (R² = 0.595, F_{, df=10,} = 22.305, p ≤ 0.001). Regression equation: Y = a + bx; thus, ambulatory self-confidence = −72.98 + bx where Y = value of dependent variable, a = constant, b = regression coefficient of each predictor variable, and x = value of each predictor. Values of b and x will be added to the equation continuously depending on the number of predictor variables
Key: LEMF Lower extremity motor function, MBL Mobility level, PSTPL Paretic step length, PSWT Paretic swing time, PSTT Paretic stance time, PIDLST Paretic initial double-limb support time, B unstandardized coefficient, SE Standard error, β standardized coefficient, t-val. t-statistics, p-value significance level, 95% CI 95% confidence interval, df degree of freedom, R² coefficient of determination, F ANOVA value
*Significant at p ≤ 0.05