# Table 2 Probability of using medical services â€“ results of logistic regression models â€“ 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

Â Â

Odds ratio

Odds ratio

Odds ratio

Odds ratio

Odds ratio

Odds ratio

Odds ratio

Odds ratio

Â Â

[95% CI]

[95% CI]

[95% CI]

[95% CI]

[95% CI]

[95% CI]

[95% CI]

[95% CI]

Smoking status

Current smoker

0.69 *** [0.55â€“0.87]

0.99 [0.73â€“1.33]

0.85 [0.48â€“1.49]

0.75 ** [0.58â€“0.97]

0.66 * [0.41â€“1.07]

1.20 [0.94â€“1.54]

0.75 ** [0.56â€“0.99]

1.41 [0.73â€“2.71]

Â

Occasional smoker

0.68 [0.42â€“1.09]

0.88 [0.46â€“1.71]

0.90 [0.27â€“2.96]

0.76 [0.44â€“1.31]

0.60 [0.21â€“1.68]

1.22 [0.73â€“2.05]

1.03 [0.57â€“1.85]

2.25 [0.64â€“7.87]

Â

Former smoker

1.12 [0.94â€“1.34]

1.24 ** [1.01â€“1.52]

1.47 ** [1.04â€“2.09]

1.00 [0.83â€“1.19]

1.21 [0.89â€“1.64]

1.39 *** [1.14â€“1.68]

1.19 [0.94â€“1.52]

1.56 * [0.92â€“2.65]

Â

Never smoker

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1. n=3068 due to missing information on school education in three subjects.
2. *** significant at the 1% level/** significant at the 5% level/* trend with pâ‰¤0.10.
3. an=3,067: four observations with missing information on physical therapy.
4. bn=1,499: work absence only for persons with information on occupational status and age â‰¤65.
5. cn=2,176: 22 observations with missing information on disability benefits.