Table 3. Relating Wave 3 ever smoking to Wave 2 ever e-product use (Main analysis M2).
Adjustment variables | OR (95% CI) | |
---|---|---|
None | 5.74 (4.62-7.13) | |
Propensity score as quintiles | 3.54 (2.81-4.45) | |
Propensity score as continuous variable | 4.53 (3.62-5.68) | |
Age range | 5.20 (4.17-6.49) | |
+ | Ever used alcohol at all | 4.45 (3.54-5.58) |
+ | Ever been curious about smoking a cigarette | 4.10 (3.26-5.16) |
+ | Think you will smoke a cigarette in the next year | 3.70 (2.94-4.68) |
+ | Agree/disagree: Prefer friends who are exciting and unpredictable | 3.65 (2.89-4.61) |
+ | Reaction if parent/guardian found you using tobacco | 3.64 (2.88-4.60) |
+ | Gender | 3.63 (2.87-4.58) |
+ | Agree/disagree: I think I would enjoy using tobacco | 3.63 (2.87-4.59) |
+ | Agree/disagree: Some products are safer than others | 3.63 (2.87-4.59) |
+ | Ever used prescription drug not prescribed to you: Ritalin or Adderall | 3.67 (2.90-4.64) |
+ | Has a Facebook, Google Plus, MySpace, Twitter or other social networking | 3.53 (2.79-4.47) |
+ | Anyone who lives with you now use tobacco | 3.45 (2.72-4.37) |
Notes: The table shows the effects of adjustment based on the same Wave 1 predictors as used in our original paper ( Lee & Fry, 2019). The analyses are based on those with data at Waves 1, 2 and 3 who had never smoked cigarettes by Wave 2 and had never used e-cigarettes by Wave 1. Between Waves 2 and 3, 249/7133 (3.49%) of never users of e-products at Wave 2 took up smoking, while 146/880 (16.59%) of ever users did so. For individuals who were 16-17 at Wave 1, adult data were used to determine e-product use and cigarette smoking at later Waves. The table includes the results of a stepwise regression based on successively including the most significant adjustment variables, given that ever e-product use at Wave 2 was included in the model.