Evidence map›Paper›PMID 40364509›Full record

ArticleAddiction (Abingdon, England)2025

The association of modifiable and socio-demographic factors with first transitions from smoking to exclusive e-cigarette use, dual use or no nicotine use: Findings from the Avon Longitudinal Study of Parents and Children United Kingdom birth cohort.

Alexandria Andrayas, Jon Heron, Jasmine Khouja, Hannah Jones, Marcus Munafò, Hannah Sallis, Lindsey Hines, Elinor Curnow

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alexandria AndrayasSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-1308-5595
Jon HeronMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0001-6199-5644
Jasmine KhoujaSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-7944-2981
Hannah JonesMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-5883-9605
Marcus MunafòSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-4049-993X
Hannah SallisMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-4793-6290
Lindsey HinesDepartment of Psychology, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0001-5052-3182
Elinor CurnowMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-3109-3647

Funding

Cancer Research UK Integrative Cancer Epidemiology Programme C18281/A29019Cancer Research United Kingdom (UK) PRCPJT-May21\100007Medical Research Council and University of Bristol Integrative Epidemiology Unit MC_UU_00032/2Medical Research Council and University of Bristol Integrative Epidemiology Unit MC_UU_00032/7UK Medical Research Council and Wellcome 217065/Z/19/ZUniversity of BristolWellcome Trust
6 · The paper itself

Abstract

BACKGROUND AND

aimsE-cigarettes can aid smoking cessation and reduce carcinogen exposure. Understanding differences in characteristics between young adults who quit smoking, with or without e-cigarettes, or dual use can help tailor interventions. The aim of this study was to describe first transitions from smoking and explore substance use, sociodemographic, and health characteristic associations with the probability of each possible first transition from smoking. DESIGN AND

settingLongitudinal birth cohort data from the Avon Longitudinal Study of Parents and Children (ALSPAC), conducted in the United Kingdom.

participantsA total of 858 participants were included who reported tobacco smoking in the past month at age 21 during a questionnaire collected in 2013. MEASUREMENTS: The first reported non-exclusive smoking event following smoking, observed approximately annually between ages 22 and 30, was categorized as either no nicotine use, exclusive e-cigarette use, or dual use. Discrete-time subdistribution hazard models were used to examine associations between different covariates, including substance use, sociodemographic, and health characteristics, with the probability of each first transition from smoking. Analyses were adjusted for early-life confounders and weighted to mitigate bias.

findingsAmong participants, 52% stopped nicotine use, 27% reported dual use, and 9% used e-cigarettes exclusively. Smoking weekly or more (Subdistribution Hazard Ratio [SHR] = 0.28, 95% Confidence Interval [CI] = 0.22-0.35), having many friends who smoke (SHR = 0.64, 95% CI = 0.50-0.81), and lower education (SHR = 0.68, 95% CI = 0.52-0.90) reduced the likelihood of no nicotine use and increased dual use (frequent smoking SHR = 3.00, 95% CI = 1.96-4.59; peer smoking SHR = 1.55, 95% CI = 1.07-2.24; education SHR = 1.72, 95% CI = 1.03-2.90). Cannabis use (SHR = 0.67, 95% CI = 0.49-0.92), drug use (SHR = 0.77, 95% CI = 0.59-0.99), less exercise (SHR = 0.71, 95% CI = 0.53-0.95), and early parenthood (SHR = 0.46, 95% CI = 0.27-0.79) reduced no nicotine use. Higher BMI (SHR = 1.58, 95% CI = 1.08-2.31) increased dual use.

conclusionsIn the United Kingdom, young adults who smoke frequently, have more smoking peers, have lower education, engage in drug use, exercise less, or become parents early appear to be less likely to stop nicotine use than other young adults who smoke. Frequent smoking, peer smoking, lower education, and higher body mass index also appear to be associated with increased dual use of cigarettes and e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsSmokingVapingAdultBirth CohortFemaleHumansLongitudinal StudiesMaleSociodemographic FactorsSocioeconomic FactorsUnited KingdomYoung AdultALSPACe‐cigarettesepidemiologyparticipant characteristicsrisk factorssmoking cessationyoung adults

Identifiers

PMID40364509
PMCPMC12319662

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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.