Table 5.

Logistic regressions models for odds of dichotomous eHealth usage composite indicator reporting a value of 1 (eHealth usage composite indicator greater than or equal to eHealth usage composite indicator mean) by sociodemographic conditions, 2011.

		ORa	95% CI
Sex
	Male	0.82	0.76–0.88
	Female	1.23	1.14–1.31
Age range (years)
	16–24	0.97	0.89–1.06
	25–54	1.12	1.05–1.21
	55–74	0.86	0.78–0.94
Number of members in the household
	1	0.75	0.69–0.83
	2	0.87	0.81–0.94
	3	1.25	1.15–1.36
	4	1.07	0.98–1.16
	5	1.13	0.97–1.28
	≥6 or more	1.31	1.10–1.57
Number of children <16 years old in the household
	0	0.82	0.77–0.88
	1	1.29	1.18–1.41
	2	1.05	0.94–1.17
	3	0.97	0.79–1.20
	4	1.35	0.88–2.08
	≥5	0.77	0.34–1.71
Number of members >65 years old in the household
	0	0.84	0.76–0.92
	1	1.33	1.18–1.50
	2	0.97	0.84–1.14
	3	0.99	0.44–2.24
	≥4	1.82	0.54–6.03
Country of citizenship
	National of 13 sample countries	0.78	0.68–0.91
	National of other EUb member state	1.28	1.09–1.50
	National of non-EU country	1.25	0.90–1.73
Country of birth
	Native of 13 sample countries	1.02	0.89–1.17
	Native of other EU member state	0.80	0.67–0.95
	Native of non-EU country	1.31	1.06–1.61
Type of locality
	Densely populated area (cities and large towns)	1.17	1.09–1.25
	Intermediate area (towns)	0.92	0.86–0.99
	Thinly populated area (villages and rural)	0.90	0.83–0.97
Completed level of education
	Primary or lower secondary education	0.87	0.80–0.95
	Upper secondary education	1.08	1.01–1.16
	Tertiary education	1.01	0.94–1.08
Labor status
	Employed or self-employed	1.07	0.99–1.15
	Unemployed	0.98	0.87–1.10
	Student	0.96	0.87–1.05
	Not in the labor force (retired, inactive)	0.94	0.86–1.03
Net monthly income range, (€)
	1–1000	1.66	1.48–1.87
	1001–2000	0.78	0.69–0.98
	2001–3000	0.78	0.68–0.91
	3001–4000	0.80	0.64–0.99
	≥4001	0.85	0.66–1.12

^aOR: odds ratio.

^bEU: European Union.