Table 5.
Predictors of long-term e-cigarette usage among e-cigarette users, Malaysia 2018 (N=694)
| Predictors | B | SE | Wald | Exp (B)* | 95% CI | p |
|---|---|---|---|---|---|---|
| Age (years) | ||||||
| >30 | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
| ≤30 | 0.9 | 0.2 | 19.3 | 2.4 | 1.6–3.6 | <0.001 |
| I get definite nicotine hit from the e-cigarette | ||||||
| Yes | 0.4 | 0.2 | 3.2 | 1.5 | 0.9–2.3 | 0.076 |
| No | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
| The e-cigarette has helped me to stop smoking | ||||||
| Yes | 0.9 | 0.3 | 14.5 | 2.5 | 1.6–4.4 | <0.001 |
| No | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
Variables entered: All significant variables in bivariate analysis (Regression analysis conducted based on Backward Wald technique).
Exp (B) gives the adjusted odds ratio (AOR). ant at p<0.05.