Table 3

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

Predictorsβ (SE)OR (95% CI)P value
Sex
 Female (ref)0
 Male0.58(0.05)1.78(1.60 to 1.98)<0.001
Age (years)
 18–39 (ref)0
 40–640.55(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
 Unemployed0.11(0.16)1.11(0.81 to 1.54)0.515
Annual household income (JPY)
 ≥8.0 million (ref)0
 <2.0 million1.05(0.11)2.85(2.29 to 3.54)<0.001
 2.0–3.9 million0.64(0.07)1.90(1.65 to 2.18)<0.001
 4.0–5.9 million0.46(0.06)1.58(1.40 to 1.80)<0.001
 6.0–7.9 million0.22(0.07)1.24(1.09 to 1.43)0.002
Marital status
 Yes (ref)0
 No0.17(0.07)1.19(1.04 to 1.35)0.010
The presence of child
 Yes (ref)0
 No0.59(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.