Evidence map›Paper›PMID 39315568›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

Associations of Close Social Connections With Smoking and Vaping: A Population Study in England.

Sarah E Jackson, Hazel Squires, Lion Shahab, Harry Tattan-Birch, Charlotte Buckley, Robin C Purshouse, Jamie Brown

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Identifying Key Predictors of Smoking Cessation Success: Text-Based Feature Selection Using a Large Language Model.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Sarah E JacksonDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-5658-6168
Hazel SquiresSheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK.
Lion ShahabDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0003-4033-442X
Harry Tattan-BirchDepartment of Behavioural Science and Health, University College London, London, UK.
Charlotte BuckleyDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.ORCID 0000-0002-8430-0347
Robin C PurshouseDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0002-2797-5428

Funding

Cancer Research UK PRCRPGNov21\100002
6 · The paper itself

Abstract

introductionStudies consistently demonstrate smoking is a socially contagious behavior, but less is known about the influence of social connections on vaping. This study examined associations between having close social connections who smoke or vape and relevant smoking and vaping outcomes. AIMS AND

methodsThis was a representative cross-sectional survey of adults (≥16 years) in England. Participants (n = 1618) were asked how many people they discuss important matters with (ie, close social connections) and how many of them smoke/vape. We tested associations between (1) smoking and (2) vaping among close social connections and participants' own smoking and vaping status; harm perceptions of e-cigarettes (among current smokers); attempts and success in quitting smoking (among past-year smokers); and use of e-cigarettes as a smoking cessation aid (among past-year smokers who tried to quit).

resultsAdults with ≥1 close social connection who smoke were more likely than those with none to smoke themselves (32.8% vs. 9.4%; ORadj = 7.23[95% CI: 4.74 to 11.0]) and had an uncertain lower likelihood to quit (12.2% vs. 19.8%; ORadj = 0.46[0.17-1.23]). Those with ≥1 close social connection who vape were more likely than those with none to vape themselves (29.6% vs. 6.3%; ORadj = 5.16[3.15-8.43]) and to use e-cigarettes in their most recent attempt to quit (57.0% vs. 27.9%; ORadj = 18.0[1.80-181]), and had an uncertain higher likelihood to perceive e-cigarettes as less harmful than cigarettes (30.8% vs. 12.2%; ORadj = 2.37[0.82-6.90]).

conclusionsIn England, we replicated well-established associations with smoking and found similar evidence for vaping. People were much more likely to vape and to use e-cigarettes to quit smoking if they had close social connections who vaped. IMPLICATIONS: The cross-sectional design means it is not clear whether smoking/vaping among close social connections influences people to smoke/vape themselves, or whether people who smoke/vape select to form close social connections with others who similarly smoke/vape. Further research is required to establish causality. If the associations we observed are causal, interventions that encourage smokers to switch to vaping may have positive spillover effects on social connections' perceptions of e-cigarettes and the use of these products to support smoking cessation.

Indexed as

SmokingSmoking CessationVapingAdolescentAdultCross-Sectional StudiesElectronic Nicotine Delivery SystemsEnglandFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID39315568
PMCPMC11847782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.