Table 5.

Multiple regression analyses to predict pQCT parameters

Model	Predictors	F	R2 change	B	95%CI	Beta	p
Dependent variable: Percent side-to-side difference in BMCcort
Model 1	Age	3.869	0.092	−0.103	−0.435, 0.229	−0.086	0.534
	Gender			4.766	−1.531, 11.063	0.231	0.134
	BMI			0.534	−0.104, 1.173	0.227	0.099
	Post-stroke duration			−0.316	−0.981, 0.350	−0.126	0.344
	Percent side-to-side difference in muscle strength		0.229	0.155	0.071, 0.240	0.534	0.001
Model 2	Age	3.412	0.092	−0.142	−0.479, 0.194	−0.142	0.534
	Gender			2.309	−3.744, 8.361	2.309	0.134
	BMI			0.281	−0.365, 0.928	0.281	0.099
	Post-stroke duration			−0.562	−1.235, 0.110	−0.224	0.344
	MAS scores		0.202	5.010	2.054, 7.965	0.463	0.001
Model 3	Age	2.812	0.092	−0.122	−0.469, 0.224	−0.103	0.480
	Gender			3.637	−2.847, 10.120	0.176	0.264
	BMI			0.422	−0.241, 1.084	0.179	0.206
	Post-stroke duration			−0.518	−1.208, 0.172	−0.206	0.137
	MAL scores		0.163	−2.410	−4.034, −0.787	−0.437	0.005
Dependent variable: Percent side-to-side difference in cortical thickness
Model 4	Age	3.216	0.022	0.013	−0.453, 0.478	0.008	0.956
	Gender			6.496	−2.338, 15.330	0.231	0.145
	BMI			0.484	−0.412, 1.379	0.151	0.282
	Post-stroke duration			−0.123	−1.057, 0.811	−0.036	0.792
	Percent side-to-side difference in muscle strength		0.259	0.226	0.107, 0.344	0.569	<0.001
Model 5	Age	2.805	0.022	−0.044	−0.517, 0.428	−0.027	0.850
	Gender			2.947	−5.536, 11.429	0.105	0.487
	BMI			0.115	−0.791, 1.020	0.036	0.799
	Post-stroke duration			−0.482	−1.425, 0.461	−0.141	0.308
	MAS score		0.232	7.334	3.192, 11.477	0.497	0.001
Model 6	Age	1.698	0.022	−0.021	−0.520, 0.478	−0.013	0.932
	Gender			4.372	−4.958, 13.702	0.155	0.350
	BMI			0.312	−0.642, 1.265	0.097	0.513
	Post-stroke duration			−0.413	−1.406, 0.579	−0.121	0.405
	MAL score		0.149	−3.142	−5.478, −0.806	0.417	0.010