Table 3.
Regression analysis showing relationship between various types of tobacco consumption and stroke.
| Variable | Multivariable Analysis * Odds Ratio (95% Confidence Interval); p Value |
c-Value (Area under ROC) |
|---|---|---|
| Possibility of having history of stroke = 1 | ||
| Non-smokers | Reference | |
| E-cigarette smokers vs. Traditional smokers | 1.15 (1.15–1.16); p < 0.0001 | 0.733 |
| Dual smokers vs. Traditional smokers | 1.14 (1.14–1.15); p < 0.0001 | |
| E-cigarette smoking in last 30-days vs. no-E-cigarette smoking in last 30-days | 1.60 (1.60–1.61); p < 0.0001 | 0.894 |
* Model for multivariable regression analysis was adjusted with sociodemographic variables like age, gender, race, annual household income, and comorbidities.