Table 1.

Logistic regression analysis of social isolation with age, gender, number of people in the home, income, population, economic and psychological impact as independent variables. The asterisks denote statistical significance of the coefficient in the logistic model, p-values $0.001{<}^{\ast \ast \ast },0.01{<}^{\ast \ast },0.05{<}^{\ast }$.

	Odds ratio	Int low	Int sup
Age Group: Basal value 18–9
30–39${}^{\ast \ast \ast }$	1.29	1.12	1.48
40–49${}^{\ast \ast \ast }$	1.83	1.61	2.08
50–59${}^{\ast \ast \ast }$	1.89	1.67	2.14
60+${}^{\ast \ast \ast }$	1.59	1.39	1.81
Gender: Basal value Female
Male	1.07	1.00	1.16
Number people household: Basal value 1
2${}^{\ast \ast \ast }$	0.71	0.63	0.80
3${}^{\ast \ast \ast }$	0.73	0.64	0.83
4+${}^{\ast \ast \ast }$	0.65	0.57	0.74
Income: Basal value Low
Medium	1.02	0.93	1.12
High${}^{\ast \ast \ast }$	0.77	0.68	0.86
Population: Basal value Low
Medium${}^{\ast \ast }$	0.86	0.78	0.94
High	1.00	0.90	1.11
Economic impact: Basal value None
Positive${}^{\ast }$	0.89	0.79	1.00
Mild${}^{\ast \ast \ast }$	1.18	1.08	1.30
Severe${}^{\ast \ast \ast }$	1.90	1.58	2.27
Psychological impact: Basal value None
Mild${}^{\ast \ast }$	0.84	0.74	0.95
Severe${}^{\ast \ast \ast }$	1.39	1.27	1.51