Association between social integration and loneliness among the female migrant older adults with children: the mediating effect of social support

Table 5 Multi-linear regression analysis between loneliness and other related variables

Characteristics	Model 1		Model 2
Characteristics	P	Beta	P	Beta
Age
60–65	Ref		Ref
Over 65	0.067	-0.09	0.038	-0.10
Education
Illiterate	Ref		Ref
Elementary school	0.145	-0.08	0.111	-0.08
Middle School	0.038	-0.11	0.082	-0.09
High School and above	0.216	-0.06	0.827	-0.01
Marital status
Married	Ref		Ref
Unmarried	0.486	-0.04	0.836	-0.01
Chronic diseases
No	Ref		Ref
Yes	0.443	0.04	0.365	0.04
Self-rated health
Excellent	Ref		Ref
Very good	0.647	0.03	0.684	0.02
Good	0.685	-0.02	0.711	-0.02
Fair and below	0.835	-0.01	0.948	0.00
Monthly income
0–100 RMB			Ref
101–500 RMB			0.030	0.11
501–1000 RMB			0.299	-0.05
1001–2500 RMB			0.005	-0.14
2501–10000 RMB			0.004	-0.15
Local Chinese dialect
Can’t understand or speak			Ref
Can understand but can’t speak			0.549	0.06
Can speak a little			0.692	-0.04
Can fluently speak			0.043	-0.10
Feel like a local
Don’t agree			Ref
Fair			0.888	-0.01
Agree			0.001	-0.19
Participate in community activities
Never			Ref
Occasionally			0.012	-0.12
Sometimes			0.018	-0.12
Often			0.002	-0.18
Social support	< 0.001	-0.30	< 0.001	-0.24

Table 5 showed the results of multi-linear regression analysis between loneliness and other related variables. Model 1only included covariates and social support, and Model 2 added social integration. The results of Model 2 indicated that all four dimensions of social integration and social support were influencing factors of loneliness, controlling for covariates

ISSN: 1471-2318