Table 5 Univariate and multivariate logistic regression analysis of factors associated with smoking cessation based on concomitant diseases.

From: Differences in clinical features between current smokers and former smokers with OSA: a cross-sectional study

Variable

Univariate analysis

Multivariate analysis

Ā 

P value

OR (95% CI)

P value

OR (95% CI)

COPD

Ā None

Reference

Ā Ā Ā 

Ā Mild

0.004

2.518 (1.335–4.751)

Ā Ā 

Ā Moderate

 < 0.001

4.624 (2.585–8.269)

Ā Ā 

Ā Severe

 < 0.001

10.320 (5.910–18.022)

Ā Ā 

Hypoxemia

Ā None

Reference

Ā 

Reference

Ā 

Ā Mild

 < 0.001

4.569 (2.431–8.589)

0.586

5.587 (1.755–17.791)

Ā Moderate

 < 0.001

12.629 (6.871–23.213)

0.003

32.973 (9.859–110.274)

Ā Severe

 < 0.001

20.055 (10.975–36.647)

0.040

21.961 (9.248–121.450)

Ā Asthma

 < 0.001

4.432 (2.887–6.803)

0.012

3.373 (1.312–8.671)

Ā Hypertension

 < 0.001

5.538 (3.678–8.340)

 < 0.001

5.978 (2.543–14.054)

Ā Coronary heart disease

 < 0.001

5.992 (3.895–9.217)

 < 0.001

8.572 (3.377–21.758)

Ā Myocardial infarction

 < 0.001

3.451 (1.988–5.991)

0.018

4.219 (1.286–13.835)

Ā Fatty liver

 < 0.001

4.409 (2.909–6.683)

Ā Ā 

Ā Diabetes

 < 0.001

5.909 (3.916–8.922)

 < 0.001

6.708 (2.806–16.039)

Ā Hyperlipidemia

 < 0.001

8.002 (5.227–12.248)

 < 0.001

8.242 (3.433–19.790)

Ā Hyperuricemia

 < 0.001

5.312 (3.505–8.051)

 < 0.001

5.829 (2.386–14.238)

Ā Gout

 < 0.001

3.891 (2.338–6.475)

Ā Ā 

Ā Metabolic syndrome

 < 0.001

5.190 (3.456–7.794)

 < 0.001

3.304 (1.391–7.850)

Ā Obesity

 < 0.001

14.944 (8.717–25.617)

Ā Ā 

Ā Lacunar infarction

 < 0.001

4.415 (2.585–7.543)

Ā Ā 

Ā Arteriosclerosis in the lower extremity

 < 0.001

3.965 (2.456–6.400)

0.040

2.844 (1.050–7.706)

Ā Carotid atherosclerosis

 < 0.001

3.292 (1.981–5.469)

Ā Ā 

Ā Cerebral arteriosclerosis

 < 0.001

5.881 (3.535–9.782)

Ā Ā 

Ā Old cerebral infarction

 < 0.001

8.142 (4.483–14.787)

Ā Ā 
  1. Values were expressed as odds ratio (OR) and 95% confidence interval (CI). Factors associated with smoking cessation were determined by univariate and multivariate logistic regression analysis. Multivariate analysis was adjusted for age, sex, disease duration, occupation, BMI, pack-years and years of smoking. COPD, chronic obstructive pulmonary disease.