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.

Wacker et al.

Wacker et al. BMC Health Services Research 2013 13:278   doi:10.1186/1472-6963-13-278

Open Data