Table 2.

Probability of using medical services – results of logistic regression models – adjusted for age, sex, school education, alcohol consumption and physical activity

Parameter		Physician visit	Hospital treatment	Rehabilitation	Physical therapya	Alternative physician	Pharmaceuticals	Work absenceb	Disability benefitsc
		Odds ratio	Odds ratio	Odds ratio	Odds ratio	Odds ratio	Odds ratio	Odds ratio	Odds ratio
		[95% CI]	[95% CI]	[95% CI]	[95% CI]	[95% CI]	[95% CI]	[95% CI]	[95% CI]
Smoking status	Current smoker	0.69 *** [0.55–0.87]	0.99 [0.73–1.33]	0.85 [0.48–1.49]	0.75 ** [0.58–0.97]	0.66 * [0.41–1.07]	1.20 [0.94–1.54]	0.75 ** [0.56–0.99]	1.41 [0.73–2.71]
	Occasional smoker	0.68 [0.42–1.09]	0.88 [0.46–1.71]	0.90 [0.27–2.96]	0.76 [0.44–1.31]	0.60 [0.21–1.68]	1.22 [0.73–2.05]	1.03 [0.57–1.85]	2.25 [0.64–7.87]
	Former smoker	1.12 [0.94–1.34]	1.24 ** [1.01–1.52]	1.47 ** [1.04–2.09]	1.00 [0.83–1.19]	1.21 [0.89–1.64]	1.39 *** [1.14–1.68]	1.19 [0.94–1.52]	1.56 * [0.92–2.65]
	Never smoker	1.00	1.00	1.00	1.00	1.00	1.00	1.00	1.00

n=3068 due to missing information on school education in three subjects.

*** significant at the 1% level/** significant at the 5% level/* trend with p≤0.10.

^an=3,067: four observations with missing information on physical therapy.

^bn=1,499: work absence only for persons with information on occupational status and age ≤65.

^cn=2,176: 22 observations with missing information on disability benefits.