Table 3.

Results of binomial logistic regression analysis between sociodemographic data and social isolation

Predictors	β (SE)		OR (95% CI)		P value
Sex
Female (ref)	0
Male	0.58	(0.05)	1.78	(1.60 to 1.98)	<0.001
Age (years)
18–39 (ref)	0
40–64	0.55	(0.06)	1.73	(1.55 to 1.93)	<0.001
≥65	−0.08	(0.09)	0.92	(0.77 to 1.10)	0.369
Occupation
Other (ref)	0
Employed	−0.20	(0.15)	0.82	(0.61 to 1.09)	0.175
Homemaker	−0.04	(0.16)	0.96	(0.70 to 1.32)	0.823
Student	−0.92	(0.22)	0.40	(0.26 to 0.62)	<0.001
Unemployed	0.11	(0.16)	1.11	(0.81 to 1.54)	0.515
Annual household income (JPY)
≥8.0 million (ref)	0
<2.0 million	1.05	(0.11)	2.85	(2.29 to 3.54)	<0.001
2.0–3.9 million	0.64	(0.07)	1.90	(1.65 to 2.18)	<0.001
4.0–5.9 million	0.46	(0.06)	1.58	(1.40 to 1.80)	<0.001
6.0–7.9 million	0.22	(0.07)	1.24	(1.09 to 1.43)	0.002
Marital status
Yes (ref)	0
No	0.17	(0.07)	1.19	(1.04 to 1.35)	0.010
The presence of child
Yes (ref)	0
No	0.59	(0.06)	1.80	(1.60 to 2.03)	<0.001

R²=0.08 (Cox-Snell), 0.10 (Nagelkerke). Model χ²(13)=685.62, p<0.001.