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      The Association Between Smoking and Electronic Cigarette Use in a Cohort of Young People

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          Abstract

          Purpose

          Electronic cigarette (e-cigarette) use is associated with smoking initiation among young people; however, it is also possible that smoking is associated with e-cigarette initiation. This study explores these associations among young people in Great Britain.

          Methods

          A longitudinal survey of 1,152 11- to 18-year-olds was conducted with baseline in April 2016 and follow-up between August and October 2016. Logistic regression models and causal mediation analyses assessed whether (1) ever e-cigarette use and escalation were associated with smoking initiation (ever smoking at follow-up) among baseline never smokers (n = 923), and (2) ever smoking and escalation were associated with e-cigarette initiation (ever e-cigarette use at follow-up) among baseline never e-cigarette users (n = 1,020).

          Results

          At baseline, 19.8% were ever smokers and 11.4% were ever e-cigarette users. Respondents who were ever e-cigarette users (vs. never users, 53% vs. 8%, odds ratio [OR] = 11.89, 95% confidence interval [CI] = 3.56–39.72) and escalated their e-cigarette use (vs. did not, 41% vs. 8%, OR = 7.89, 95% CI = 3.06–20.38) were more likely to initiate smoking. Respondents who were ever smokers (vs. never smokers, 32% vs. 4%, OR = 3.54, 95% CI = 1.68–7.45) and escalated their smoking (vs. did not, 34% vs. 6%, OR = 5.79, 95% CI = 2.55–13.15) were more likely to initiate e-cigarette use. There was a direct effect of ever e-cigarette use on smoking initiation (OR = 1.34, 95% CI = 1.05–1.72), and ever smoking on e-cigarette initiation (OR = 1.08, 95% CI = 1.01–1.17); e-cigarette and smoking escalation, respectively, did not mediate these effects.

          Conclusions

          Among young people in Great Britain, ever e-cigarette use is associated with smoking initiation, and ever smoking is associated with e-cigarette initiation.

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          Most cited references23

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          Validation of susceptibility as a predictor of which adolescents take up smoking in the United States.

          Smoking onset has 4 levels, with a "susceptibility" level preceding early experimentation. This study assessed the predictive validity of smoking susceptibility in a longitudinal study of a nationally representative sample of 4,500 adolescents who at baseline reported never having puffed on a cigarette. At follow-up 4 years later, 40% of the sample had experimented with smoking, and 8% had established a smoking habit. Baseline susceptibility to smoking, defined as the absence of a firm decision not to smoke, was a stronger independent predictor of experimentation than the presence of smokers among either family or the best friend network. However, susceptibility to smoking was not as important as exposure to smokers in distinguishing adolescents who progressed to established smoking from those who remained experimenters at follow-up.
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            • Record: found
            • Abstract: found
            • Article: not found

            Common liability to addiction and "gateway hypothesis": theoretical, empirical and evolutionary perspective.

            Two competing concepts address the development of involvement with psychoactive substances: the "gateway hypothesis" (GH) and common liability to addiction (CLA). The literature on theoretical foundations and empirical findings related to both concepts is reviewed. The data suggest that drug use initiation sequencing, the core GH element, is variable and opportunistic rather than uniform and developmentally deterministic. The association between risks for use of different substances, if any, can be more readily explained by common underpinnings than by specific staging. In contrast, the CLA concept is grounded in genetic theory and supported by data identifying common sources of variation in the risk for specific addictions. This commonality has identifiable neurobiological substrate and plausible evolutionary explanations. Whereas the "gateway" hypothesis does not specify mechanistic connections between "stages", and does not extend to the risks for addictions, the concept of common liability to addictions incorporates sequencing of drug use initiation as well as extends to related addictions and their severity, provides a parsimonious explanation of substance use and addiction co-occurrence, and establishes a theoretical and empirical foundation to research in etiology, quantitative risk and severity measurement, as well as targeted non-drug-specific prevention and early intervention. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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              • Record: found
              • Abstract: found
              • Article: not found

              Intentions to smoke cigarettes among never-smoking US middle and high school electronic cigarette users: National Youth Tobacco Survey, 2011-2013.

              Electronic cigarette (e-cigarette) use is increasing rapidly, and the impact on youth is unknown. We assessed associations between e-cigarette use and smoking intentions among US youth who had never smoked conventional cigarettes.
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                Author and article information

                Contributors
                Journal
                J Adolesc Health
                J Adolesc Health
                The Journal of Adolescent Health
                Elsevier
                1054-139X
                1879-1972
                1 May 2018
                May 2018
                : 62
                : 5
                : 539-547
                Affiliations
                [a ]Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
                [b ]UK Centre for Tobacco and Alcohol Studies, Clinical Sciences Building, University of Nottingham, Nottingham, UK
                [c ]Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
                [d ]Centre for Implementation Science, Department of Health Services and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
                [e ]Public Health England, London, UK
                [f ]Action on Smoking and Health UK, London, UK
                Author notes
                [* ]Address correspondence to: Katherine East, MS.c., Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, Denmark Hill, London SE5 8BB. (K. East) Katherine.east@ 123456kcl.ac.uk
                Article
                S1054-139X(17)30903-5
                10.1016/j.jadohealth.2017.11.301
                5938086
                29499983
                1e70ca46-e593-497c-bce4-a05ec5834e13
                © 2017 Society of Adolescent Health and Medicine. All rights reserved.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 7 July 2017
                : 28 November 2017
                Categories
                Article

                Health & Social care
                smoking,electronic cigarettes,e-cigarettes,young people,youth,adolescent,longitudinal studies,nicotine,tobacco

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