Table 1 Logistic regression model with Internet use as the explained variable

Main effects	Unadjusted effects	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8
	OR	OR	OR	OR	OR	OR	OR	OR	OR
Age: 60	1^*		1^*	1^*	1^*	1^*	1^*	1^*	1^*
70	0.18		0.245	0.227	0.211	0.195	0.184	0.178	0.172
Gender: Male	1^ns
Female	0.984
Have children:
No	1^*						1^*	1^*	1^*
Yes	2.047						2166	2.082	2.06
Have grand children:
No	1^ns
Yes	0.889
Education level:
Basic	1^*	1^*	1^*	1^*	1^*	1^*	1^*	1^*	1^*
Secondary	4.442	9.016	8.86	8.375	5.687	5.332	5.549	4.618	4.281
Higher	2.311	2.967	3.365	3.716	2.817	2.682	2.796	2.403	2.248
Have sufficient financial means:
No	1^*					1^*	1^*	1^*	1^*
Yes	1.886					1.91	1.949	1.903	1.898
Live with none:
No	1^ns
Yes	0.878
Marital status, Single:
Yes	1^ns
No	1.204
Live in a single family house:
Yes	1^ns
No	0.933
Live near the city (0–3 km):
Yes	1^ns
No	0.927
Entrepreneur experienced:
Yes	1^*								1^*
No	0.428								0.504
Leading position experienced:
Yes	1^*							1^*	1^*
No	0.245							0.323	0.284
Higher level white collar experienced:
Yes	1^*				1^*	1^*	1^*	1^*	1^*
No	0.185				0.283	0.288	0.293	0.249	0.217
Lower level white collar experienced:
Yes	1^*			1^*	1^*	1^*	1^*	1^*	1^*
No	0.223			0.395	0.337	0.341	0.329	0.302	0.271
Blue collar experienced:
Yes	1^ns
No	0.759
Agricultural entrepreneur experienced:
Yes	1^ns
No	0.977
Stay at home or working from home:
Yes	1^ns
No	1.108
Social relations satisfaction:
No	1^ns
Yes	0.32
Pseudo R²	0.367	0.193	0.293	0.312	0.328	0.342	0.35	0.357	0.354