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. 2020 Nov 9;9:607. Originally published 2020 Jun 15. [Version 2] doi: 10.12688/f1000research.24289.2

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.