Evidence map›Paper›PMID 30609154›Full record

ArticleAddiction (Abingdon, England)2019

Harm perceptions of e-cigarettes and other nicotine products in a UK sample.

Samara Wilson, Timea Partos, Ann McNeill, Leonie S Brose

Open access · hybridAbstract 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 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

45 citing papers in PubMed, 90 citations in OpenAlex.

  1. The Effect of Conflicting Public Health Guidance on Smokers' and Vapers' E-cigarette Harm Perceptions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
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  10. Impact of E-liquid Packaging on Vaping Product Perceptions Among Youth in England, Canada, and the United States: A Randomized Online Experiment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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  14. Do respiratory physicians not care about people who smoke?Clinical medicine (London, England) · 2023
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  18. Tobacco harm reduction in Afghanistan: a recipe for improving smokers' health.Substance abuse treatment, prevention, and policy · 2023
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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

4 authors at 1 institution in 1 country.

Samara WilsonAddictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0003-3672-1988
Timea PartosAddictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-4049-9200
Ann McNeillAddictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-6223-4000
Leonie S BroseAddictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0001-6503-6854
King's College London · GB

Funding

Cancer Research UK 21496Cancer Research UK C52999/A21496Cancer Research UK C57277/A23884Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

BACKGROUND AND

aimsE-cigarettes (EC) and nicotine replacement therapy (NRT) are less harmful than smoking, but misperceptions of relative harm are common. Aims were to (1) assess nicotine knowledge and perceptions of: harm of EC and NRT relative to smoking, addictiveness of EC relative to smoking, and change in harm to user if smoking replaced with EC; (2) define associations of these perceptions with respondent characteristics including nicotine knowledge; and (3) explore perceived main harms of EC and whether these differ by vaping status.

designAnalyses were: (1) frequencies; (2) logistic regressions of perceptions of relative harm, addictiveness and change in harm onto demographics, smoking and vaping status and nicotine knowledge (attributing cancer or health risks of smoking to nicotine); and (3) frequencies and χ SETTING AND

participantsParticipants were smokers and recent ex-smokers from one wave (September 2017) of a longitudinal online survey in the United Kingdom (n = 1720). MEASUREMENTS: Demographics included gender, age, smoking status, vaping status and income. Survey questions collected data on nicotine knowledge and harm perceptions of different products; the relative harm perceptions of NRT, EC and tobacco cigarettes; and perceived main harms of EC.

findingsRelative to smoking, 57.3% perceived EC and 63.4% NRT to be less harmful; 25.4% perceived EC to be less addictive; and 32.2% thought replacing smoking with EC reduced health harms a great deal. Participants were less likely to endorse these beliefs if they had never vaped, and participants who had inaccurate nicotine knowledge were less likely to endorse all these beliefs apart from the addictiveness of EC. The main concerns about EC were a lack of research (48.3%), regulation or quality control (37.8%) and harmfulness of chemicals (41.6%).

conclusionsLarge proportions of UK smokers and ex-smokers overestimate the relative harmfulness of e-cigarettes and nicotine replacement therapy compared with smoking; misattributing smoking harms to nicotine is associated with increased misperceptions.

Indexed as

Attitude to HealthElectronic Nicotine Delivery SystemsHarm ReductionAdolescentAdultCultureFemaleHealth Knowledge, Attitudes, PracticeHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedSmokingSmoking CessationTobacco Use Cessation DevicesElectronic cigaretteselectronic nicotine delivery systemsharm perceptionharm reductionnicotine replacement productssmokingvaping

Identifiers

PMID30609154
PMCPMC6491935
OpenAlexW2908083218

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.