Table 3.

Hierarchical linear regression analysis on results of resilience (n= 250).

Variables	Resilience
	β	p	β	p
Step 1
Marriage
Marriage_1	0.105	0.126	0.006	0.907
Marriage_2	−0.075	0.258	−0.054	0.273
Marriage_3	−0.017	0.790	−0.020	0.680
Education
Education_1	0.073	0.496	0.027	0.732
Education_2	−0.001	0.991	0.008	0.919
Education_3	0.010	0.927	0.006	0.947
Job status
Job status_1	0.312	0.006	0.091	0.286
Job status_2	0.236	0.010	0.116	0.088
Job status_3	0.095	0.322	0.004	0.951
Monthly income	0.212	0.001	0.038	0.433
Residence	0.015	0.807	−0.031	0.500
Family history	−0.143	0.014	−0.050	0.250
Medical payment type	0.136	0.017	0.048	0.258
Comorbid chronic disease	−0.192	0.002	−0.131	0.004
Step 2
Hope			0.145	0.008
Perceived stress			−0.229	< 0.001
Optimism			0.226	< 0.001
Perceived social support			0.223	< 0.001
F value	9.775		25.523
p-value	< 0.001		< 0.001
R 2	0.368		0.665
Adjusted R2	0.330		0.639

Marriage_1 means Married vs. Single. Marriage_2 means Divorced vs. Single. Marriage_3 means Widowed vs. Single. Education_1 means Junior high school vs. Primary school. Education_2 means High school vs. Primary school. Education_3 means Junior college or above vs. Primary school. Job status_1 means Employee vs. Unemployed. Job status_2 means Retirement vs. Unemployed. Job status_3 means Other vs. Unemployed.