Table 3.
Multiple logistic regression analysis to determine factors associated with smoking susceptibility
| Variable | AOR | 95% CI | |
| Lower | Upper | ||
| Sex | |||
| Male | 1.49 | 1.23 | 1.81 |
| Female | Ref | ||
| Locality | |||
| Urban | Ref | ||
| Rural | 1.21 | 1.01 | 1.45 |
| Age groups (years) | |||
| 12 and younger | 1.55 | 1.22 | 1.97 |
| 13–15 | 1.11 | 0.85 | 1.43 |
| 16–19 | Ref | ||
| Ethnicity | |||
| Malay | 1.18 | 0.90 | 1.56 |
| Chinese | Ref | ||
| Indian | 2.03 | 1.41 | 2.92 |
| Bumiputra Sabah | 1.34 | 0.84 | 2.14 |
| Bumiputra Sarawak | 1.09 | 0.68 | 1.77 |
| Others | 1.32 | 0.86 | 2.06 |
| SHS exposure in the house | |||
| Yes | 0.99 | 0.80 | 1.25 |
| No | Ref | ||
| SHS exposure other than in the house | |||
| Yes | 1.31 | 1.05 | 1.63 |
| No | Ref | ||
| Ever smoker | |||
| Yes | 2.46 | 1.93 | 3.12 |
| No | Ref | ||
| E-cigarette user | |||
| Yes | 5.12 | 3.67 | 7.14 |
| No | ref | ||
| Been taught in school about the harmful effects of tobacco | |||
| Yes | Ref | ||
| No | 1.71 | 1.40 | 2.08 |
| Tobacco smoke is harmful | |||
| Yes | Ref | ||
| No | 1.48 | 1.13 | 1.95 |
| Ever seen anti-tobacco messages | |||
| Yes | Ref | ||
| No | 0.93 | 0.70 | 1.24 |
| Ever seen someone smoke during a movie | |||
| Yes | 0.90 | 0.73 | 1.11 |
| No | Ref | ||
| Points of sale | |||
| No | ref | ||
| Yes, not attractive | 0.93 | 0.76 | 1.14 |
| Yes, very attractive | 2.57 | 1.73 | 3.83 |
| Seen someone smoking in school | |||
| Yes | 1.34 | 1.08 | 1.67 |
| No | Ref | ||
| Seen someone smoking outside the school | |||
| Yes | 0.85 | 0.69 | 1.05 |
| No | Ref | ||
| Perceive smoking as enjoyable | |||
| Yes | 2.90 | 2.04 | 4.12 |
| No | Ref | ||
AOR, adjusted odds ratio; SHS, second-hand smoke.