Literature DB >> 32184339

Association of initial e-cigarette and other tobacco product use with subsequent cigarette smoking in adolescents: a cross-sectional, matched control study.

Lion Shahab1,2, Emma Beard3,2, Jamie Brown3,2.   

Abstract

INTRODUCTION: This study assessed whether initiating e-cigarette use increases the uptake of cigarette smoking in US adolescents compared with behavioural and synthetic controls.
METHODS: Data come from 78 265 adolescents in the National Youth Tobacco Survey (2014-2017) of whom 38 630 provided information about the first tobacco product they had used in 2014/15. Ever, past 30 day and established (30 day use and 100+ lifetime cigarettes) cigarette smoking was compared in adolescents who first used an e-cigarette (exposure group), a non-cigarette combustible (CT) or other non-combustible tobacco (NT) product (behavioural controls), and propensity score matched adolescents without initial e-cigarette use (synthetic controls).
RESULTS: Relative to behavioural controls, adolescents who tried e-cigarettes first were less likely to have ever smoked cigarettes (26% vs CT (42.4%; OR 0.48, 95% CI 0.40 to 0.57), or NT initiators (52.7%; OR 0.32, 95% CI 0.26 to 0.39)), to be past 30 day (6% vs CT (11.9%; OR 0.48, 95% CI 0.36 to 0.62), or NT initiators (20.0%; OR 0.26, 95% CI 0.19 to 0.35)) or be established cigarette smokers (0.7% vs CT (3.9%; OR 0.17, 95% CI 0.10 to 0.30), or NT initiators (8.4%; OR 0.08, 95% CI 0.04 to 0.13)). E-cigarette initiators were also less likely than synthetic controls (without initial e-cigarette use) to have ever smoked cigarettes (OR 0.76, 95% CI 0.62 to 0.93), be past 30 day (OR 0.71, 95% CI 0.55 to 0.91) or be established cigarette smokers (OR 0.26, 95% CI 0.13 to 0.51).
CONCLUSION: Less than 1% of US adolescents who use e-cigarettes first were established cigarette smokers. They were less likely to be smokers than adolescents who tried other combustible or non-combustible tobacco products first and propensity score matched adolescents without initial e-cigarette use. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  electronic nicotine delivery devices; harm reduction; non-cigarette tobacco products; priority/special populations

Year:  2020        PMID: 32184339      PMCID: PMC7907552          DOI: 10.1136/tobaccocontrol-2019-055283

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  28 in total

1.  Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders.

Authors:  Patrick G Arbogast; Wayne A Ray
Journal:  Am J Epidemiol       Date:  2011-07-12       Impact factor: 4.897

Review 2.  Patterns of E-Cigarette Use Among Youth and Young Adults: Review of the Impact of E-Cigarettes on Cigarette Smoking.

Authors:  Allison Glasser; Haneen Abudayyeh; Jennifer Cantrell; Raymond Niaura
Journal:  Nicotine Tob Res       Date:  2019-09-19       Impact factor: 4.244

3.  Adolescents and e-cigarettes: Objects of concern may appear larger than they are.

Authors:  Lynn T Kozlowski; Kenneth E Warner
Journal:  Drug Alcohol Depend       Date:  2017-01-27       Impact factor: 4.492

4.  Association of Noncigarette Tobacco Product Use With Future Cigarette Smoking Among Youth in the Population Assessment of Tobacco and Health (PATH) Study, 2013-2015.

Authors:  Shannon Lea Watkins; Stanton A Glantz; Benjamin W Chaffee
Journal:  JAMA Pediatr       Date:  2018-02-01       Impact factor: 16.193

5.  The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study.

Authors:  Zoe Fewell; George Davey Smith; Jonathan A C Sterne
Journal:  Am J Epidemiol       Date:  2007-07-05       Impact factor: 4.897

6.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

7.  Prevalence of vaping and smoking among adolescents in Canada, England, and the United States: repeat national cross sectional surveys.

Authors:  David Hammond; Jessica L Reid; Vicki L Rynard; Geoffrey T Fong; K Michael Cummings; Ann McNeill; Sara Hitchman; James F Thrasher; Maciej L Goniewicz; Maansi Bansal-Travers; Richard O'Connor; David Levy; Ron Borland; Christine M White
Journal:  BMJ       Date:  2019-06-20

8.  Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales.

Authors:  Britt Hallingberg; Olivia M Maynard; Linda Bauld; Rachel Brown; Linsay Gray; Emily Lowthian; Anne-Marie MacKintosh; Laurence Moore; Marcus R Munafo; Graham Moore
Journal:  Tob Control       Date:  2019-04-01       Impact factor: 6.953

9.  Young People's Use of E-Cigarettes across the United Kingdom: Findings from Five Surveys 2015-2017.

Authors:  Linda Bauld; Anne Marie MacKintosh; Brian Eastwood; Allison Ford; Graham Moore; Martin Dockrell; Deborah Arnott; Hazel Cheeseman; Ann McNeill
Journal:  Int J Environ Res Public Health       Date:  2017-08-29       Impact factor: 3.390

10.  Association of Electronic Cigarette Use With Subsequent Initiation of Tobacco Cigarettes in US Youths.

Authors:  Kaitlyn M Berry; Jessica L Fetterman; Emelia J Benjamin; Aruni Bhatnagar; Jessica L Barrington-Trimis; Adam M Leventhal; Andrew Stokes
Journal:  JAMA Netw Open       Date:  2019-02-01
View more
  19 in total

1.  Poor implementation of tobacco control measures and lack of education influences the intention to quit tobacco: a structural equation modelling approach.

Authors:  Mir Faeq Ali Quadri; Tenny John; Damanpreet Kaur; Maryam Nayeem; Mohammed Khaleel Ahmed; Ahmed M Kamel; Santosh Kumar Tadakamadla; Vito Carlo Alberto Caponio; Lorenzo Lo Muzio
Journal:  BMC Public Health       Date:  2022-06-15       Impact factor: 4.135

2.  High School Seniors Who Used E-Cigarettes May Have Otherwise Been Cigarette Smokers: Evidence From Monitoring the Future (United States, 2009-2018).

Authors:  Natasha A Sokol; Justin M Feldman
Journal:  Nicotine Tob Res       Date:  2021-10-07       Impact factor: 4.244

3.  Trends in electronic cigarette use and conventional smoking: quantifying a possible 'diversion' effect among US adolescents.

Authors:  Arielle S Selya; Floe Foxon
Journal:  Addiction       Date:  2021-01-19       Impact factor: 6.526

4.  Unpacking the Gateway Hypothesis of E-Cigarette Use: The Need for Triangulation of Individual- and Population-Level Data.

Authors:  Lion Shahab; Jamie Brown; Lies Boelen; Emma Beard; Robert West; Marcus R Munafò
Journal:  Nicotine Tob Res       Date:  2022-07-13       Impact factor: 5.825

5.  Impact of vaping introduction on cigarette smoking in six jurisdictions with varied regulatory approaches to vaping: an interrupted time series analysis.

Authors:  Daphne C Wu; Beverley M Essue; Prabhat Jha
Journal:  BMJ Open       Date:  2022-05-02       Impact factor: 2.692

6.  England SimSmoke: the impact of nicotine vaping on smoking prevalence and smoking-attributable deaths in England.

Authors:  David T Levy; Luz María Sánchez-Romero; Yameng Li; Zhe Yuan; Nargiz Travis; Martin J Jarvis; Jamie Brown; Ann McNeill
Journal:  Addiction       Date:  2020-10-08       Impact factor: 7.256

7.  A cost-utility analysis of the impact of electronic nicotine delivery systems on health care costs and outcomes in Canada.

Authors:  Catherine Pound; Doug Coyle
Journal:  Health Promot Chronic Dis Prev Can       Date:  2022-01       Impact factor: 2.725

8.  E-cigarette use and onset of first cigarette smoking among adolescents: An empirical test of the 'common liability' theory.

Authors:  Hui G Cheng; Edward G Largo; Maria Gogova
Journal:  F1000Res       Date:  2019-12-13

9.  E-cigarette use is associated with subsequent cigarette use among young adult non-smokers, over and above a range of antecedent risk factors: a propensity score analysis.

Authors:  Marina Epstein; Jennifer A Bailey; Rick Kosterman; Isaac C Rhew; Madeline Furlong; Sabrina Oesterle; Sean Esteban McCabe
Journal:  Addiction       Date:  2021-02-03       Impact factor: 6.526

10.  Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach.

Authors:  Nkiruka C Atuegwu; Cheryl Oncken; Reinhard C Laubenbacher; Mario F Perez; Eric M Mortensen
Journal:  Int J Environ Res Public Health       Date:  2020-10-05       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.