Multistate transition modelling of e-cigarette use and cigarette smoking among youth in the UK

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Abstract

Introduction E-cigarette use remains a controversial topic, with questions over how people transition between e-cigarette use and cigarette smoking. This paper examined transitions into and out of nicotine product use in a representative sample of UK youth. Methods We used Markov multistate transition probability models on data from 10 229 participants (10–25 years old) in the UK Household Longitudinal Study (2015–2021). We used four product use states (’never’,’non-current use’,’e-cigarette only’ and’smoking and dual use’) and estimated likelihood of transitions according to sociodemographic characteristics. Results Among participants who had never used nicotine products, most were still non-users a year later (92.9% probability; 95% CI 92.6%, 93.2%); a small proportion transitioned to using e-cigarettes only (4.0%; 95% CI 3.7%, 4.2%) and cigarettes (2.2%; 95% CI 2.0%, 2.4%). Those aged 14–17 years were the most likely to start using a nicotine product. E-cigarette use was less persistent overtime than cigarette smoking, with a 59.1% probability (95% CI 56.9%, 61.0%) of e-cigarette users still using after 1 year compared with 73.8% (95% CI 72.1%, 75.4%) for cigarette smoking. However, there was a 14% probability (95% CI 12.8%, 16.2%) that e-cigarette users went onto smoke cigarettes after 1 year, rising to 25% (95% CI 23%, 27%) after 3 years. Conclusion This study found that although overall nicotine product use was relatively rare, participants were more likely to experiment with e-cigarette use than cigarette smoking. This was mostly not persistent over time; however, approximately one in seven transitioned to cigarette smoking. Regulators should aim to deter all nicotine product use among children.

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APA

Parnham, J. C., Vrinten, C., Radó, M. K., Bottle, A., Filippidis, F. T., & Laverty, A. A. (2024). Multistate transition modelling of e-cigarette use and cigarette smoking among youth in the UK. Tobacco Control, 33(4), 489–496. https://doi.org/10.1136/tc-2022-057777

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