The odds ratio of logistic regression to identify the association between elevated hs-CRP and smoking status classified as urinary cotinine levels
| Variable | Model 1 |
Model 2 |
Model 3 |
Model 4 |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | P-value |
OR | 95% CI | P-value |
OR | 95% CI | P-value |
OR | 95% CI | P-value |
||||
| Urinary cotinine (ng/mL) | |||||||||||||||
| <50 (non-smoker) | 1 | 1 | 1 | 1 | |||||||||||
| ≥50 (smoker) | 0.887 | -0.293–0.054 | 0.174 | 0.905 | -0.276–0.079 | 0.270 | 0.945 | -0.235–0.124 | 0.534 | 1.046 | -0.138–0.230 | 0.635 | |||
Multivariable models were adjusted for body mass index, HDL cholesterol, WBC count.
OR, odds ratio; CI, confidence interval; hs-CRP, high-sensitivity C-reactive protein; HDL, high density lipoprotein; WBC, white blood cells.
aModel 1: unadjusted (urinary cotinine). bModel 2: adjusted for body mass index. cModel 3: Model 2 plus HDL. dModel 4: Model 3 plus WBC.
P-values for the multivariable adjusted. *Statistically significant (P<0.05).