Table 2

Tobacco smoking and/or e-cigarette use abstinence or cessation, possibly related adverse events, difference in daily tobacco cigarette consumption and self-reported health: results of the multivariate analyses

Outcomes at 24 monthsAdjusted OR (95% CI)p ValueCrude OR (95% CI)p Value
Continuous tobacco abstinence from baseline or quit tobacco smoking during follow-up*,†
 Tobacco cigarettes only at baseline1 (ref cat)1 (ref cat)
 E-cigarettes only at baseline5.56 (3.89 to 7.95)<0.0015.23 (3.72 to 7.35)<0.001
 Both tobacco and e-cigarettes at baseline1.25 (0.85 to 1.84)0.21.17 (0.81 to 1.69)0.4
Quit all cigarettes (electronic and/or traditional)*
 Tobacco cigarettes only at baseline1 (ref cat)1 (ref cat)
 E-cigarettes only at baseline1.12 (0.73 to 1.72)0.61.09 (0.73 to 1.64)0.7
 Both tobacco and e-cigarettes at baseline0.94 (0.59 to 1.49)0.80.79 (0.51 to 1.23)0.3
Safety–possibly related sAEs‡
 Tobacco cigarettes only at baseline1 (ref cat)1 (ref cat)
 E-cigarettes only at baseline1.48 (0.63 to 3.47)0.41.52 (0.66 to 3.48)0.3
 Both tobacco and e-cigarettes at baseline2.40 (1.09 to 5.26)0.0292.23 (1.04 to 4.76)0.038
Reduction of tobacco cigarette consumption by 50% or more from baseline to 24 months§
 Tobacco cigarettes only at baseline1 (ref cat)1 (ref cat)
 Both tobacco and e-cigarettes at baseline1.28 (0.90 to 1.82)¶0.21.25 (0.89 to 1.76)¶0.2
0.99 (0.57 to 1.71)**0.91.25 (0.76 to 2.05)**0.4
Reduction of tobacco cigarette consumption by 50% or more from baseline to 24 months††
 Tobacco or dual users at baseline who switched to or continued with tobacco smoking only1 (ref cat)1 (ref cat)
 Tobacco or dual users at baseline who started or continued dual use8.48 (4.05 to 17.8)<0.0017.47 (3.81 to 14.7)<0.001
Adjusted coefficient (95% CI)Raw coefficient (95% CI)
Difference in the daily number of tobacco cigarettes from 24 months to baseline‡‡
 Tobacco cigarettes only at baseline0 (ref cat)0 (ref cat)
 Both tobacco and e-cigarettes at baseline0.44 (−0.88 to 1.75)¶0.50.10 (−1.41 to 1.61)¶0.9
0.75 (−1.13 to 2.63)**0.40.87 (−0.42 to 2.15)**0.2
Difference in the daily number of tobacco cigarettes from 24 months to baseline§§
 Tobacco smokers who continued only smoking and dual users at baseline who switched to tobacco only smoking0 (ref cat)0 (ref cat)
 Dual users at baseline who continued dual use and tobacco-only smokers who switched to dual use−5.71 (−8.02 to −3.39)<0.001−5.32 (−7.80 to −2.85)<0.001
Difference in the self-reported health score from 24 months to baseline¶¶
 Tobacco cigarettes only at baseline0 (ref cat)0 (ref cat)
 E-cigarettes only at baseline0.14 (−0.08 to 0.35)0.2−0.03 (−0.27 to 0.22)0.8
 Both tobacco cigarettes and e-cigarettes at baseline−0.15 (−0.36 to 0.07)0.2−0.14 (−0.38 to 0.11)0.3
  • *Random-effect logistic regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, BMI, marital status, educational level, occupation, alcohol use, hypertension, hypercholesterolaemia, diabetes, self-reported health, years of tobacco smoking (former smoking for e-cigarette users), number of tobacco cigarettes smoked per day (or puffs per day for e-cigarette only smokers). A total of 902 participants were included in the final model due to 30 missing items in the self-reported health item at baseline.

  • †Including (1) users of e-cigarettes only at baseline who quit e-cigarette use and did not start tobacco smoking; (2) smokers of tobacco cigarettes only at baseline who quit tobacco cigarette use and did not start e-cigarette use; (3) dual users at baseline who quit both tobacco smoking and e-cigarette use; (4) e-cigarette users at baseline who continued to use only e-cigarettes; (5) tobacco cigarettes smokers at baseline who quit tobacco smoking and started using e-cigarettes; (6) dual users at baseline who quit tobacco smoking and continued to use e-cigarettes only.

  • ‡Random-effect logistic regression with region as the cluster level, adjusting for age, baseline self-reported health and quitting all smoking during the 24-month follow-up.

  • §E-cigarette-only users at baseline were not included. Random-effect logistic regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, BMI, marital status, educational level, occupation, alcohol use, hypertension, hypercholesterolaemia, diabetes, self-reported health, years of tobacco smoking, number of tobacco cigarettes smoked per day. A total of 682 participants were included in the final model due to 21 missing items in the self-reported health item at baseline.

  • ¶Computed from a model that included the whole sample of tobacco and dual smokers at baseline.

  • **Computed from a model that included only the subsample of baseline smokers who continued smoking at 24 months (excluding those who had quit and whose cigarette consumption was zero at follow-up).

  • ††Restricted to tobacco only smokers or dual users at baseline who did not quit or switch to e-cigarettes only (n=529). Random-effect logistic regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, self-reported health, years of tobacco smoking, number of tobacco cigarettes smoked per day.

  • ‡‡E-cigarette-only users at baseline were not included. Random-effect linear regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, BMI, marital status, educational level, occupation, alcohol use, hypertension, hypercholesterolaemia, diabetes, self-reported health, years of tobacco smoking, number of tobacco cigarettes smoked per day. A total of 682 participants were included in the final model due to 21 missing items in the self-reported health item at baseline.

  • §§Restricted to tobacco-only smokers or dual users at baseline who did not quit or switch to e-cigarettes only (n=529). Random-effect linear regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, self-reported health, years of tobacco smoking, number of tobacco cigarettes smoked per day.

  • ¶¶Random-effect linear regression with region as the cluster level, adjusting for the following baseline characteristics: age, gender, BMI, marital status, educational level, occupation, alcohol use, hypertension, hypercholesterolaemia, diabetes, self-reported health, years of tobacco smoking (former smoking for e-cigarette users), number of tobacco cigarettes smoked per day (or puffs per day for e-cigarette only smokers). A total of 899 participants were included in the final model due to 30 missing items in the self-reported health item at baseline and 3 missing items in the self-reported health at 24 months.

  • BMI, body mass index; sAEs, serious adverse events.