Table 2.
Multivariable logistic regression analysis to determine the association between sociodemographics and smoking status with male ever EC user
| Variable | Adjusted Odds Ratio | 95% CI | |
|---|---|---|---|
| Ethnic | |||
| Malay | 1 | ||
| Chinese | 0.22 | 0.03 | 1.80 |
| Indian | 0.69 | 0.14 | 3.41 |
| Others | 0.80 | 0.45 | 1.40 |
| Age Group (years) | |||
| 18–24 | 4.02 | 1.50 | 10.80 |
| 25–34 | 3.22 | 1.43 | 7.26 |
| 35–44 | 2.92 | 1.28 | 6.65 |
| 45 and older | 1 | ||
| Education attainment | |||
| No formal education - secondary school | 1 | ||
| College and tertiary | 1.69 | 1.05 | 2.72 |
| Smoking status | |||
| Current smoker | 3.46 | 1.85 | 6.50 |
| Non-smoker | 1 | ||
| Marital status | |||
| Married | 1 | ||
| Single | 1.06 | 0.60 | 1.86 |
| Perception score toward e-cigarette | 1.06 | 1.03 | 1.08 |
Hosmer–Lemeshow test, chi-squared value 5.67, df (8), p=0.682. Note: The multivariate analysis is for male participants, as female participants were dropped as there was only 1 female ever e-cigarette (EC) user.