ArticleBMC medicine2023
Associations between smoking and vaping prevalence, product use characteristics, and mental health diagnoses in Great Britain: a population survey.
Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Providing an e-cigarette starter kit for smoking cessation and reduction as adjunct to usual care to smokers with a mental health condition: findings from the ESCAPE feasibility study.BMC psychiatry · 2025Trial
- Changes in combustible cigarette and electronic nicotine delivery system use among people with and without schizophrenia spectrum disorders in the USA (2016-2023).Tobacco control · 2026Article
- Vaping and mental health: A cross-sectional study among university students in Bangladesh.PloS one · 2026Article
- Offering e-cigarettes for smoking cessation and reduction in people with mental illness (ESCAPE): Protocol for a randomized controlled trial.Addiction (Abingdon, England) · 2025Article
- Article
- Implementation of stop smoking support by mental healthcare professionals: cross-sectional analysis of why nothing much happens.Discover mental health · 2025Article
- Scoping of Policy Impacts for Regulating E-cigarettes (SPIRE): findings from a data and decision analytic model mapping project.NIHR open research · 2025Article
- Moderation of the real-world effectiveness of smoking cessation aids by mental health conditions: A population study.PLOS mental health · 2024Article
- Associations between smoking and vaping prevalence, product use characteristics, and mental health diagnoses in Great Britain: a population survey.BMC medicine · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRates of diseases and death from tobacco smoking are substantially higher among those with a mental health condition (MHC). Vaping can help some people quit smoking, but little is known about vaping among people with MHCs or psychological distress. We assessed the prevalence and characteristics (heaviness, product type) of smoking and/or vaping among those with and without a history of single or multiple MHC diagnoses and with no, moderate or serious psychological distress.
methodsData from 27,437 adults in Great Britain surveyed between 2020 and 2022. Multinomial regressions analysed associations between smoking, vaping and dual use prevalence, smoking/vaping characteristics and (a) history of a single or multiple MHC and (b) moderate or serious psychological distress, adjusted for age, gender, and socioeconomic status.
resultsCompared with people who had never smoked, those who currently smoked were more likely to report a history of a single (12.5% vs 15.0%, AOR=1.62, 95% CI=1.46-1.81, p<.001) or multiple MHCs (12.8% vs 29.3%, AOR=2.51, 95% CI=2.28-2.75, p<.001). Compared with non-vapers, current vapers were more likely to report a history of a single (13.5% vs 15.5%, AOR=1.28, 95% CI=1.11-1.48, p<.001) or multiple MHCs (15.5% vs 33.4%, AOR=1.66, 95% CI=1.47-1.87, p<.001). Dual users were more likely to report a history of multiple MHCs (36.8%), but not a single MHC than exclusive smokers (27.2%) and exclusive vapers (30.4%) (all p<.05). Similar associations were reported for those with moderate or serious psychological distress. Smoking roll-your-own cigarettes and smoking more heavily, were associated with a history of single or multiple MHCs. There were no associations between vaping characteristics and a history of MHCs. Frequency of vaping, device type and nicotine concentration differed by psychological distress.
conclusionsSmoking, vaping and dual use were substantially higher among those with a history of MHC, especially multiple MHC, and experiencing past month distress than those not having a history of MHC or experiencing past month distress respectively. Analysis used descriptive epidemiology and causation cannot be determined.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.