Table 4.

Regression analysis by different marital status

Depression	Married		Divorced\widowed\never married
	Model1	Model2	Model3	Model4
Care	0.337	0.195	1.273***	1.175**
	(0.268)	(0.268)	(0.483)	(0.486)
Age	-0.100***	-0.0947***	-0.116***	-0.111***
	(0.0250)	(0.0249)	(0.0362)	(0.0363)
Gender	1.377***	1.402***	1.594***	1.753***
	(0.262)	(0.261)	(0.481)	(0.485)
Numbers of Children	0.293***	0.376***	0.0470	0.0759
	(0.0935)	(0.0947)	(0.134)	(0.135)
Education	-0.646***	-0.630***	-0.851**	-0.801**
	(0.201)	(0.200)	(0.388)	(0.388)
Residence	0.587	0.407	1.092*	1.076*
	(0.364)	(0.365)	(0.591)	(0.590)
Pension	1.621***	1.674***	-0.398	-0.313
	(0.441)	(0.439)	(0.811)	(0.810)
Types of medical insurance	0.0216	0.0465	0.757***	0.766***
	(0.137)	(0.136)	(0.240)	(0.241)
Number of Chronic Disease	0.758***	0.728***	0.993***	1.010***
	(0.114)	(0.114)	(0.181)	(0.181)
ADL	3.779***	3.786***	3.879***	3.859***
	(0.285)	(0.284)	(0.442)	(0.441)
Contact frequencey		-0.294***		-0.114
		(0.0858)		(0.143)
Ln(econimic support)		-0.177***		-0.177**
		(0.0457)		(0.0765)
Constant	8.328***	10.21***	9.498***	10.29***
	(1.987)	(2.015)	(3.192)	(3.218)
Observations	2,492	2,492	1,048	1,048
R-squared	0.152	0.160	0.172	0.177

Standard errors in parentheses

*** p<0.01, ** p<0.05, * p<0.1