Table 3.
Multivariable logistic regression model on the effect of smoking status and the risk for 14-day hospitalization among SARS-COV2 positive patients.
| Characteristics | OR (95% CI) |
|---|---|
| Smoking (ref = Never smoker) | - |
| Former smoker | 1.05 (0.86–1.28) |
| Current smoker | 0.55 (0.37–0.83) |
| Female Gender (ref = Male) | 0.57 (0.5–0.66) |
| Age (ref = 0–40) | - |
| 40–49 | 3.23 (2.51–4.14) |
| 50–64 | 5.51 (4.43–6.87) |
| 65–74 | 9.23 (7.24–11.76) |
| 75–84 | 18.78 (14.09–25.03) |
| >85 | 44.82 (31.05–64.69) |
| Race (ref = White) | 1.58 (1.37–1.81) |
| Obese, BMI≥ 30 kg/m2 (ref = non-obese) | 1.67 (1.45–1.92) |
| Comorbidity count ≥ 3 (ref= <3) | 1.45 (1.21–1.73) |
| Previous year IP admission(ref = No) | 3.64 (3.03–4.37) |
Adjusted for Age, Gender, Race, BMI, Comorbidity Count, And Previous Year Inpatient Hospital Admission.
Definition of Abbreviations: OR= Odds Ratio; CI = confidence Interval; COVID-19 = Coronavirus Disease 2019; BMI= Body Mass Index; Ref = Reference; IP= Inpatient.