Evidence map›Paper›PMID 31254419›Full record

ArticleAddiction (Abingdon, England)2019

Patterns and predictors of e-cigarette, cigarette and dual use uptake in UK adolescents: evidence from a 24-month prospective study.

Mark Conner, Sarah Grogan, Ruth Simms-Ellis, Keira Scholtens, Bianca Sykes-Muskett, Lisa Cowap, Rebecca Lawton, Christopher J Armitage, David Meads, Laetitia Schmitt and 3 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Investigating individual-level correlates of e-cigarette initiation among a large sample of Canadian high school students.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2021
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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

13 authors.

Mark ConnerSchool of Psychology, University of Leeds, Leeds, UK.ORCID 0000-0002-6229-8143
Sarah GroganDepartment of Psychology, Manchester Metropolitan University, Manchester, UK.
Ruth Simms-EllisSchool of Psychology, University of Leeds, Leeds, UK.
Keira ScholtensCentre for Health Psychology, Science Centre, Staffordshire University, Stoke-on-Trent, UK.
Bianca Sykes-MuskettSchool of Psychology, University of Leeds, Leeds, UK.
Lisa CowapCentre for Health Psychology, Science Centre, Staffordshire University, Stoke-on-Trent, UK.
Rebecca LawtonSchool of Psychology, University of Leeds, Leeds, UK.
Christopher J ArmitageManchester Centre for Health Psychology, Division of Psychology and Mental Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
David MeadsInstitute of Health Sciences, University of Leeds, Leeds, UK.
Laetitia SchmittDepartment of Health Sciences, University of York, York, UK.
Carole TorgersonSchool of Education, Durham University, Durham, UK.
Robert WestInstitute of Health Sciences, University of Leeds, Leeds, UK.
Kamran SiddiqiDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0003-1529-7778

Funding

Medical Research Council MR/J000264/1
6 · The paper itself

Abstract

BACKGROUND AND

aimsTo assess prevalence and predictors of e-cigarettes/cigarettes patterns of use in adolescents in England.

designProspective study with 24-month follow-up of e-cigarette/cigarette ever/regular use with data from an intervention evaluation.

settingForty-five schools in England (Staffordshire and Yorkshire).

participantsA total of 3210 adolescents who, at baseline, were aged 13-14 years and had never used e-cigarettes/cigarettes. MEASUREMENTS: Based on e-cigarette/cigarette ever use at follow-up, six groups were created: (a) never user, (b) e-cigarette only, (c) cigarette only, (d) dual use-order of use unclear, (e) dual use-e-cigarettes used first and (f) dual use-cigarettes used first. Baseline measures were: gender, ethnicity, socio-economic status, impulsivity, family plus friend smoking and smoking-related beliefs (attitude and perceived behavioural control).

findingsIn groups (a) to (f), there were 71.5, 13.3, 3.3, 5.7, 2.9 and 3.4% adolescents, respectively. Among groups using cigarettes, regular smoking was more prevalent in group (f) (dual use-cigarettes used first) [17.6%, 95% confidence interval (CI) = 10.4, 24.8] than in groups (c), (d) and (e) combined (7.3%, 95% CI = 4.7, 9.9). Among groups using e-cigarettes, regular use was less prevalent in group (b) (e-cigarette only) (1.9%, 95% CI = 0.6, 3.2) than in groups (d), (e) and (f) combined (12.2%, 95% CI = 8.9, 15.5). Higher impulsivity plus friends and family smoking were predictive of being in groups (b) to (f) compared with group (a) (never users). Males were more likely to be in group (b) compared to group (a); females were more likely to be in groups (c) to (f) compared to group (a).

conclusionsRegular use of e-cigarettes/cigarettes varies across groups defined by ever use of e-cigarettes/cigarettes. Interventions targeted at tackling impulsivity or adolescents whose friends and family members smoke may represent fruitful avenues for future research.

Indexed as

Attitude to HealthAdolescentCigarette SmokingEnglandFamilyFemaleFriendsHumansImpulsive BehaviorLongitudinal StudiesMalePrevalenceProspective StudiesRandomized Controlled Trials as TopicRisk FactorsSex FactorsAdolescentscigarettedual smokingelectronic cigarettesprospective studyUK

Identifiers

PMID31254419
PMCPMC6852175

What OpenQuestion holds

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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.