Table 3.

Odds ratio of logistic regression model on the dimensions of social security

	Nsocialsecurity	SP	PL	MP	MI	PI	OII	UI	MAI
Age group (N = 824 Ref. = Adolescent()
Young	1.46	0.71	0.93	1.00	1.10	0.74	1.26	0.39***	0.38***
Middle Age	1.82**	0.57***	0.70*	0.57***	1.01	0.62**	1.24	0.36***	0.27***
Old Age	0.75	0.33***	0.31***	0.11***	0.25***	0.37***	0.59*	0.08***	0.09***
Gender (N = 825 Ref. = Male)
Female	0.98	0.68**	0.91	1.43**	0.85	0.88	0.70**	0.62***	0.94
Family income (N = 791 Ref.=)
CNY 0-19,999
CNY 20000-	1.26	0.84	1.05	0.81	0.90	0.73*	1.23	0.98	0.77
Educational level (N = 825 Ref.=)
Primary education
Middle education	0.96	0.95	1.17	1.16	1.33	1.85**	1.29	2.39***	1.65
Higher education	1.54	1.88*	1.83*	3.32***	2.34**	4.30***	2.54***	9.70***	5.64***
Financial status
Not well-off
Average	0.89	0.80	0.82	0.60***	0.79	0.76	0.71**	0.57***	0.71
Well-off	0.81	0.93	0.83	0.60*	0.69	0.72	0.50**	0.58	0.69
SES group (N = 797 Ref. = Lower class)
Middle class	1.29	1.09	0.89	0.99	1.32	0.97	1.42*	0.76	0.70
Upper class	2.15**	1.94**	1.53	1.10	1.74**	1.40	1.19	0.54	0.60

Note: ***, ** and * indicates 1%, 5% and 10% significance level, respectively. SP sick pay, PL paid leave, MP maternity pay, MI medical insurance, PI pension insurance, OII occupational injury insurance, UI unemployment insurance, MAI maternity insurance, CNY Chinese Yuan, SES socioeconomic status