16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Exploring the gateway hypothesis of e-cigarettes and tobacco: a prospective replication study among adolescents in the Netherlands and Flanders

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Studies demonstrated that adolescent e-cigarette use is associated with subsequent tobacco smoking, commonly referred to as the gateway effect. However, most studies only investigated gateways from e-cigarettes to tobacco smoking. This study replicates a cornerstone study revealing a positive association between both adolescent e-cigarette use and subsequent tobacco use; and tobacco and subsequent e-cigarette use in the Netherlands and Flanders.

          Design

          The longitudinal design included baseline (n=2839) and 6-month (n=1276) and 12-month (n=1025) follow-up surveys among a school-based cohort (mean age: 13.62). Ten high schools were recruited as a convenience sample. The analyses involved (1) associations of baseline e-cigarette use and subsequent tobacco smoking among never smokers; (2) associations of e-cigarette use frequency at baseline and tobacco smoking frequency at follow-up; and (3) the association of baseline tobacco smoking and subsequent e-cigarette use among non-users of e-cigarettes.

          Findings

          Consistent with prior findings, baseline e-cigarette use was associated with higher odds of tobacco smoking at 6-month (OR=1.89; 95% CI 1.05 to 3.37) and 12-month (OR=5.63; 95% CI 3.04 to 10.42) follow-ups. More frequent use of e-cigarettes at baseline was associated with more frequent smoking at follow-ups. Baseline tobacco smoking was associated with subsequent e-cigarette use (OR=3.10; 95% CI 1.58 to 6.06 at both follow-ups).

          Conclusion

          Our study replicated the positive relation between e-cigarette use and tobacco smoking in both directions for adolescents. This may mean that the gateway works in two directions, that e-cigarette and tobacco use share common risk factors, or that both mechanisms apply.

          Related collections

          Most cited references74

          • Record: found
          • Abstract: found
          • Article: not found

          A Randomized Trial of E-Cigarettes versus Nicotine-Replacement Therapy

          E-cigarettes are commonly used in attempts to stop smoking, but evidence is limited regarding their effectiveness as compared with that of nicotine products approved as smoking-cessation treatments.
            Bookmark
            • Record: found
            • Abstract: found
            • Book: not found

            Applied Missing Data Analysis

            Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              How many imputations are really needed? Some practical clarifications of multiple imputation theory.

              Multiple imputation (MI) and full information maximum likelihood (FIML) are the two most common approaches to missing data analysis. In theory, MI and FIML are equivalent when identical models are tested using the same variables, and when m, the number of imputations performed with MI, approaches infinity. However, it is important to know how many imputations are necessary before MI and FIML are sufficiently equivalent in ways that are important to prevention scientists. MI theory suggests that small values of m, even on the order of three to five imputations, yield excellent results. Previous guidelines for sufficient m are based on relative efficiency, which involves the fraction of missing information (gamma) for the parameter being estimated, and m. In the present study, we used a Monte Carlo simulation to test MI models across several scenarios in which gamma and m were varied. Standard errors and p-values for the regression coefficient of interest varied as a function of m, but not at the same rate as relative efficiency. Most importantly, statistical power for small effect sizes diminished as m became smaller, and the rate of this power falloff was much greater than predicted by changes in relative efficiency. Based our findings, we recommend that researchers using MI should perform many more imputations than previously considered sufficient. These recommendations are based on gamma, and take into consideration one's tolerance for a preventable power falloff (compared to FIML) due to using too few imputations.
                Bookmark

                Author and article information

                Journal
                Tob Control
                Tob Control
                tobaccocontrol
                tc
                Tobacco Control
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0964-4563
                1468-3318
                March 2023
                5 July 2021
                : 32
                : 2
                : 170-178
                Affiliations
                [1 ] IVO , The Hague, The Netherlands
                [2 ] departmentTranzo, Tilburg School of Social and Behavioral Sciences , Tilburg University , Tilburg, The Netherlands
                [3 ] departmentDepartment of Methodology and Statistics , Maastricht University , Maastricht, The Netherlands
                [4 ] departmentDepartment of Health Promotion , Maastricht University , Maastricht, The Netherlands
                [5 ] departmentLaboratory for Health Protection Research , National Institute for Public Health and the Environment (RIVM) , Bilthoven, The Netherlands
                [6 ] departmentDepartment of Family Medicine , Maastricht University , Maastricht, The Netherlands
                Author notes
                [Correspondence to ] Thomas Martinelli, IVO, The Hague, The Netherlands; martinelli@ 123456ivo.nl
                Author information
                http://orcid.org/0000-0003-0055-5631
                Article
                tobaccocontrol-2021-056528
                10.1136/tobaccocontrol-2021-056528
                9985733
                34226262
                dc9ac833-05e3-42fd-ac43-81ab86130b28
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 02 February 2021
                : 10 June 2021
                Funding
                Funded by: NWO;
                Award ID: 401.16.012
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                Public health
                electronic nicotine delivery devices,public policy,harm reduction
                Public health
                electronic nicotine delivery devices, public policy, harm reduction

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content202

                Cited by25

                Most referenced authors940