Evidence map›Paper›PMID 24824516›Full record

ArticleTobacco control2014

Use of e-cigarettes by individuals with mental health conditions.

Sharon E Cummins, Shu-Hong Zhu, Gary J Tedeschi, Anthony C Gamst, Mark G Myers

Abstract read
In one paragraph

Article in Tobacco control, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 3 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

81 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  4. Trial
  5. Trial
  6. E-Cigarette Use and Depression Among American Indian Adults Who Smoke.Journal of racial and ethnic health disparities · 2026
    Article
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  8. Review
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  20. Adolescents' Use of Nicotine-Free and Nicotine E-Cigarettes: A Longitudinal Study of Vaping Transitions and Vaper Characteristics.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article

21 more citing papers are in PubMed but not listed here.

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

5 authors.

Sharon E CumminsDepartment of Family and Preventive Medicine, University of California, San Diego, La Jolla, California, USA.
Shu-Hong ZhuDepartment of Family and Preventive Medicine, University of California, San Diego, La Jolla, California, USA.
Gary J TedeschiCancer Center, University of California, San Diego, La Jolla, California, USA.
Anthony C GamstDepartment of Family and Preventive Medicine, University of California, San Diego, La Jolla, California, USA.
Mark G MyersPsychology Service, Veteran Affairs San Diego Healthcare System, Department of Psychiatry, University of California, San Diego, La Jolla, California, USA.

Funding

Nonsmokers and Tobacco Control Norms: Population Surveys and Intervention StudiesU01CA154280 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHU, SHU-HONG · 2011 to 2015
$7.9M
NCI NIH HHS U01 CA154280
6 · The paper itself

Abstract

backgroundIndividuals with mental health conditions (MHC) have disproportionately high tobacco-related morbidity and mortality due to high smoking prevalence rates. As high consumers of cigarettes, smokers with MHC may consider using e-cigarettes as an alternative form of nicotine delivery.

objectiveExamination of the susceptibility to use e-cigarettes by individuals with MHC.

methodsA U.S. population survey with a national probability sample (n=10,041) was used to assess ever use and current use of regular cigarettes, e-cigarettes, and U.S. Food and Drug Administration-approved pharmacotherapy for smoking cessation. Survey respondents provided information about whether they had been diagnosed with an anxiety disorder, depression, or other MHC.

resultsIndividuals with MHC were more likely to have tried e-cigarettes (14.8%) and to be current users of e-cigarettes (3.1%) than those without MHC (6.6% and 1.1%, respectively; p<0.01). Ever smokers with MHC were also more likely to have tried approved pharmacotherapy (52.2% vs. 31.1%, p<0.01) and to be currently using these products (9.9% vs. 3.5%, p<0.01) than those without MHC. Additionally, current smokers with MHC were more susceptible to future use of e-cigarettes than smokers without MHC (60.5% vs. 45.3%, respectively, p<0.01).

conclusionsSmokers with MHC are differentially affected by the rise in popularity of e-cigarettes. Clinical interventions and policies for tobacco control on e-cigarettes should take into account the possible outcomes and their implications for this priority population.

Indexed as

Mental DisordersSmokingSmoking CessationAdolescentAdultData CollectionElectronic Nicotine Delivery SystemsFemaleHumansMaleMental HealthMiddle AgedNicotinePrevalenceTobacco ProductsUnited StatesNicotineDisparitiesElectronic nicotine delivery devicesHarm ReductionNicotinePriority/special populations

Identifiers

PMID24824516
PMCPMC4145659

What OpenQuestion holds

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LicenceCC BY-NC
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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.