. 2018 May 10;16:90. doi: 10.1186/s12955-018-0914-y

Table 3.

Results of the structural equation modeling analysis: gender-specific relationships between socio-demographic factors, social support and HRQoL

		Male		Female		Difference CR
		Coefficient β	CR	Coefficient β	CR	Difference CR
Age	Social support	−0.191	−2.28*	−0.041	−0.65	1.32
Marital status^a		0.326	4.13**	0.164	3.37**	−1.84
Education^b		−0.006	−0.10	0.066	1.16	0.87
Employment status^c		− 0.070	−1.19	− 0.017	− 0.33	0.80
Chronic diseases^d		0.041	0.64	0.079	1.44	0.43
Age	PCS	− 0.034	−0.44	− 0.216	−3.70**	− 2.16*
Marital status		− 0.179	− 2.43*	−0.164	−3.75**	0.15
Education		0.081	1.48	0.077	1.47	−0.02
Employment status		0.063	1.17	−0.019	−0.41	− 1.19
Chronic diseases		−0.088	−1.49	− 0.122	− 2.43*	− 0.46
Social support		0.193	3.15**	0.201	4.54**	0.26
Age	MCS	0.245	2.82**	0.185	2.95**	0.53
Marital status		−0.067	−0.87	− 0.096	− 2.06*	− 0.71
Education		−0.050	−0.86	0.083	1.47	1.70
Employment status		0.027	0.47	−0.026	− 0.52	−0.70
Chronic diseases		−0.004	−0.06	− 0.144	− 2.64**	− 2.04*
Social support		0.397	4.90**	0.422	7.54**	2.09*
PCS^e		0.744	6.05**	0.634	8.26**	1.18

PCS Physical component summary, MCS Mental component summary

*p < 0.05, **p < 0.001, ^aSingle group was considered as reference group, ^bHigher education was considered as reference group, ^cUnemployed group was considered as reference group, ^dNot having chronic diseases was considered as reference group, ^ecorrelation coefficient