Socioeconomic Differences in Tobacco Smoking in Italy: Is There an Interaction between Variables?

Table 3

Sociodemographic predictors of Ever smoking status—Multiple logistic regression model, year 2005.

		Crude OR (95% CI)	Adjusted OR (95% CI)
Gender	Male	1	1	Reference
	Female	0,334	0,387	0,386–0,387
Age (years)	15–24	1	1	Reference
	25–34	0,947	1,587	1,583–1,592
	35–44	1,215	1,761	1,756–1,766
	45–54	1,675	2,442	2,435–2,449
	55–64	1,331	2,132	2,125–2,139
	65+	0,779	1,545	0,450–0,454
Educational level	Primary education	1	1	Reference
	Lower secondary education or professional school	1,252	1,368	1,366–1,371
	Upper secondary education	1,039	1,237	1,235–1,240
	University degree	0,908	0,935	0,933–0,937
Italian macroregion of residence	Northeast	1	1	Reference
	Northwest	1,096	0,96	0,959–0,962
	Centre	1,195	1,068	1,066–1,070
	South	0,748	0,762	0,761–0,764
	Islands	0,861	0,843	0,841–0,844
Chronic medical conditions	None	1	1	Reference
	One at least	1,235	1,265	1,261–1,268
Occupational status	Employed	1	1	Reference
	Unemployed, in search of first occupation	1,011	1,093	1,090–1,096
	Housewife, student	0,334	0,591	0,590–0,592
	Other	1,26	0,997	0,995–0,999
Marital status	Married	1	1	Reference
	Divorced, separated	1,667	1,297	1,293–1,300
	Widowed	0,509	0,732	0,730–0,734
	Single	0,698	0,82	0,819–0,822
Self-assessed health status	Not good/poor	1	1	Reference
	Very good/good	1,201	1,102	1,099–1,105
Self-assessed household income	Scarce/absolutely insufficient	1	1	Reference
	Very good/adequate	0,912	0,812	0,811–0,813

analysis [crude odds ratio (OR)] and multivariate analysis (adjusted OR). Dependent variable: “being a current or a former smoker.”