Table 6 Univariate and multivariate Cox proportional hazards regression analysis of the interaction between smoking cessation related factors.

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

Variable

Univariate analysis

Multivariate analysis

Severe OSA &

P value

HR (95% CI)

P value

HR (95% CI)

Severe hypoxemia

 < 0.001

3.191 (2.071–4.917)

  

Asthma

 < 0.001

2.120 (1.498–3.001)

  

Hypertension

 < 0.001

3.334 (2.384–4.664)

 < 0.001

1.967 (1.316–2.940)

Coronary heart disease

 < 0.001

2.906 (2.088–4.045)

  

Myocardial infarction

 < 0.001

2.196 (1.414–3.409)

  

Diabetes

 < 0.001

3.853 (2.741–5.416)

 < 0.001

2.383 (1.584–3.585)

Hyperlipidemia

 < 0.001

4.170 (2.935–5.925)

0.026

1.752 (1.070–2.870)

Hyperuricemia

 < 0.001

3.895 (2.801–5.416)

 < 0.001

2.359 (1.564–3.557)

Metabolic syndrome

 < 0.001

3.949 (2.823–5.526)

0.011

1.775 (1.141–2.761)

  1. Values were expressed as hazards ratio (HR) and 95% confidence interval (CI). The interaction of factors associated with smoking cessation was determined by univariate and multivariate Cox proportional hazards regression analysis. Multivariate analysis was adjusted for age, sex, occupation, BMI, pack-years and years of smoking.OSA, obstructive sleep apnea.
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