Table 4.

Hierarchical linear regression analysis of factors influencing medication literacy (n = 362).

Variables	Model 1				Model 2
	B	SE	t	P	B	SE	t	P
Constant	22.503	1.629	13.814	< 0.001	10.741	2.095	5.126	< 0.001
Gender	−0.777	0.502	−1.547	0.123	−0.319	0.458	−0.696	0.487
Education level	2.210	0.311	7.106	0.000	1.068	0.307	3.476	0.001
Annual income	0.201	0.295	0.682	0.496	0.741	0.274	2.704	0.007
Duration of hypertension	0.227	0.303	0.750	0.454	−0.196	0.281	−0.698	0.485
Number of antihypertensive drugs prescribed	0.492	0.490	1.005	0.315	0.867	0.444	1.954	0.052
Number of co-lived person	−1.060	0.373	−2.841	0.005	−1.521	0.342	−4.441	<0.001
Subjective support					0.252	0.052	4.867	<0.001
Objective support					0.690	0.100	6.914	<0.001
Support utility					0.175	0.107	1.635	0.103
R2	0.177				0.335
F value	F (6, 355) = 12.695, P < 0.001				F (9, 352) = 19.745, P < 0.001

B, unstandardized regression coefficients; SE, Standard error.