Literature DB >> 28654986

Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults: A Systematic Review and Meta-analysis.

Samir Soneji1,2, Jessica L Barrington-Trimis3, Thomas A Wills4, Adam M Leventhal3, Jennifer B Unger3, Laura A Gibson5, JaeWon Yang6, Brian A Primack7, Judy A Andrews8, Richard A Miech9, Tory R Spindle10, Danielle M Dick10, Thomas Eissenberg10, Robert C Hornik5, Rui Dang2, James D Sargent1,2.   

Abstract

Importance: The public health implications of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking. Objective: To perform a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking. Data Sources: PubMed, EMBASE, Cochrane Library, Web of Science, the 2016 Society for Research on Nicotine and Tobacco 22nd Annual Meeting abstracts, the 2016 Society of Behavioral Medicine 37th Annual Meeting & Scientific Sessions abstracts, and the 2016 National Institutes of Health Tobacco Regulatory Science Program Conference were searched between February 7 and February 17, 2017. The search included indexed terms and text words to capture concepts associated with e-cigarettes and traditional cigarettes in articles published from database inception to the date of the search. Study Selection: Longitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarette use. Searches yielded 6959 unique studies, of which 9 met inclusion criteria (comprising 17 389 adolescents and young adults). Data Extraction and Synthesis: Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the Risk of Bias in Non-randomized Studies of Interventions tool, respectively. Data and estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures: Among baseline never cigarette smokers, cigarette smoking initiation between baseline and follow-up. Among baseline non-past 30-day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow-up.
Results: Among 17 389 adolescents and young adults, the ages ranged between 14 and 30 years at baseline, and 56.0% were female. The pooled probabilities of cigarette smoking initiation were 30.4% for baseline ever e-cigarette users and 7.9% for baseline never e-cigarette users. The pooled probabilities of past 30-day cigarette smoking at follow-up were 21.5% for baseline past 30-day e-cigarette users and 4.6% for baseline non-past 30-day e-cigarette users. Adjusting for known demographic, psychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.62 (95% CI, 2.42-5.41) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non-past 30-day e-cigarette users at baseline. A moderate level of heterogeneity was observed among studies (I2 = 60.1%). Conclusions and Relevance: e-Cigarette use was associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking. Strong e-cigarette regulation could potentially curb use among youth and possibly limit the future population-level burden of cigarette smoking.

Entities:  

Mesh:

Year:  2017        PMID: 28654986      PMCID: PMC5656237          DOI: 10.1001/jamapediatrics.2017.1488

Source DB:  PubMed          Journal:  JAMA Pediatr        ISSN: 2168-6203            Impact factor:   16.193


  37 in total

Review 1.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

2.  Electronic cigarettes: effective nicotine delivery after acute administration.

Authors:  Andrea Rae Vansickel; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2012-02-06       Impact factor: 4.244

3.  Empirical evaluation showed that the Copas selection model provided a useful summary in 80% of meta-analyses.

Authors:  James R Carpenter; Guido Schwarzer; Gerta Rücker; Rita Künstler
Journal:  J Clin Epidemiol       Date:  2009-03-12       Impact factor: 6.437

4.  Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis.

Authors:  Guido Schwarzer; James Carpenter; Gerta Rücker
Journal:  J Clin Epidemiol       Date:  2010-03       Impact factor: 6.437

5.  E-cigarette use as a predictor of cigarette smoking: results from a 1-year follow-up of a national sample of 12th grade students.

Authors:  Richard Miech; Megan E Patrick; Patrick M O'Malley; Lloyd D Johnston
Journal:  Tob Control       Date:  2017-02-06       Impact factor: 7.552

Review 6.  Exposure to parental and sibling smoking and the risk of smoking uptake in childhood and adolescence: a systematic review and meta-analysis.

Authors:  Jo Leonardi-Bee; Mirriam Lisa Jere; John Britton
Journal:  Thorax       Date:  2011-02-15       Impact factor: 9.139

7.  What are kids vaping? Results from a national survey of US adolescents.

Authors:  Richard Miech; Megan E Patrick; Patrick M O'Malley; Lloyd D Johnston
Journal:  Tob Control       Date:  2016-08-25       Impact factor: 7.552

8.  A Snapshot of the Depiction of Electronic Cigarettes in YouTube Videos.

Authors:  Laura M Romito; Risa A Hurwich; George J Eckert
Journal:  Am J Health Behav       Date:  2015-11

9.  Progression to Traditional Cigarette Smoking After Electronic Cigarette Use Among US Adolescents and Young Adults.

Authors:  Brian A Primack; Samir Soneji; Michael Stoolmiller; Michael J Fine; James D Sargent
Journal:  JAMA Pediatr       Date:  2015-11       Impact factor: 16.193

10.  Development of symptoms of tobacco dependence in youths: 30 month follow up data from the DANDY study.

Authors:  J R DiFranza; J A Savageau; N A Rigotti; K Fletcher; J K Ockene; A D McNeill; M Coleman; C Wood
Journal:  Tob Control       Date:  2002-09       Impact factor: 7.552

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  349 in total

1.  ENDS Device Type and Initiation of Combustible Tobacco Products Among Adolescents.

Authors:  Aslesha Sumbe; Stephanie L Clendennen; Samuel C Opara; Christian D Jackson; Baojiang Chen; Anna V Wilkinson; Melissa B Harrell
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

2.  Cigarette Smoking, Mental Health, and Other Substance Use among Court-Involved Youth.

Authors:  Anna Harrison; Danielle Ramo; Sharon M Hall; Vanessa Estrada-Gonzalez; Marina Tolou-Shams
Journal:  Subst Use Misuse       Date:  2019-11-25       Impact factor: 2.164

3.  E-cigarette Use and Subsequent Smoking Frequency Among Adolescents.

Authors:  Jessica L Barrington-Trimis; Grace Kong; Adam M Leventhal; Feifei Liu; Margaret Mayer; Tess Boley Cruz; Suchitra Krishnan-Sarin; Rob McConnell
Journal:  Pediatrics       Date:  2018-11-05       Impact factor: 7.124

Review 4.  Unique, long-term effects of nicotine on adolescent brain.

Authors:  Frances M Leslie
Journal:  Pharmacol Biochem Behav       Date:  2020-07-30       Impact factor: 3.533

5.  Share of Advertising Voice at the Point-of-Sale and Its Influence on At-Risk Students' Use of Alternative Tobacco Products.

Authors:  Yuliyana Beleva; James Russell Pike; Stephen Miller; Bin Xie; Susan L Ames; Alan W Stacy
Journal:  Nicotine Tob Res       Date:  2019-06-21       Impact factor: 4.244

6.  E-Cigarette Social Norms and Risk Perceptions Among Susceptible Adolescents in a Country That Bans E-Cigarettes.

Authors:  Paula Lozano; Edna Arillo-Santillán; Inti Barrientos-Gutíerrez; Luz Myriam Reynales Shigematsu; James F Thrasher
Journal:  Health Educ Behav       Date:  2019-01-04

7.  Effect of e-cigarette advertisement themes on hypothetical e-cigarette purchasing in price-responsive adolescents.

Authors:  Andrew J Barnes; Rose S Bono; Alyssa K Rudy; Cosima Hoetger; Nicole E Nicksic; Caroline O Cobb
Journal:  Addiction       Date:  2020-05-14       Impact factor: 6.526

8.  Disentangling Within- and Between-Person Effects of Shared Risk Factors on E-cigarette and Cigarette Use Trajectories From Late Adolescence to Young Adulthood.

Authors:  Michael S Dunbar; Jordan P Davis; Anthony Rodriguez; Joan S Tucker; Rachana Seelam; Elizabeth J D'Amico
Journal:  Nicotine Tob Res       Date:  2019-09-19       Impact factor: 4.244

9.  Longitudinal associations between youth tobacco and substance use in waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study.

Authors:  Marushka L Silveira; Kevin P Conway; Victoria R Green; Karin A Kasza; James D Sargent; Nicolette Borek; Cassandra A Stanton; Amy Cohn; Nahla Hilmi; K Michael Cummings; Raymond S Niaura; Elizabeth Y Lambert; Mary F Brunette; Izabella Zandberg; Susanne E Tanski; Chad J Reissig; Priscilla Callahan-Lyon; Wendy I Slavit; Andrew J Hyland; Wilson M Compton
Journal:  Drug Alcohol Depend       Date:  2018-07-25       Impact factor: 4.492

10.  Electronic cigarette exposure disrupts blood-brain barrier integrity and promotes neuroinflammation.

Authors:  Nathan A Heldt; Alecia Seliga; Malika Winfield; Sachin Gajghate; Nancy Reichenbach; Xiang Yu; Slava Rom; Amogha Tenneti; Dana May; Brian D Gregory; Yuri Persidsky
Journal:  Brain Behav Immun       Date:  2020-03-31       Impact factor: 7.217

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