Evidence map›Paper›PMID 26525063›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2016

Patterns of Electronic Cigarette Use Among Adults in the United States.

Cristine D Delnevo, Daniel P Giovenco, Michael B Steinberg, Andrea C Villanti, Jennifer L Pearson, Raymond S Niaura, David B Abrams

Erratum issued Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04250727 (Switching to a Non-tobacco-based Oral Nicotine Product Among Adult Cigarette Smokers), which is not on this map. Cited by 149 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 2 pooled it
21.5field-weighted citation impact, top 1% 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.

NCT04250727 nacompletednot on this mapstarted 2021, after this paper: background citation

Switching to a Non-tobacco-based Oral Nicotine Product Among Adult Cigarette Smokers: Exploring the Roles of Product Characteristics and User History

TypeinterventionalSponsorYale UniversityRan2021 to 2022Enrolled30ConditionsTobacco Use Disorder, Oral Nicotine Pouch Use, Smoking Behaviors, Harm ReductionArmsZYN
3 · Its place in the literature

Who cites it

149 citing papers in PubMed, 2 syntheses or guidelines pooled it, 224 citations in OpenAlex.

  1. Pooled it
  2. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  3. Trial
  4. Vapes, E-cigs, and Mods: What Do Young Adults Call E-cigarettes?Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  5. Trial
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  8. Article
  9. Article
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  12. Salivary Metabolic Pathway Alterations in Brazilian E-Cigarette Users.International journal of molecular sciences · 2024
    Article
  13. Exploring the Experiences, Perceptions and Social Dynamics of Electronic Cigarette Users: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  14. Article
  15. Prioritizing Common Terminology and Measures to Advance Research on Oral Nicotine Product Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Cristine D DelnevoCenter for Tobacco Studies, Rutgers School of Public Health, New Brunswick, NJ; Rutgers Cancer Institute of New Jersey, New Brunswick, NJ; delnevo@rutgers.edu.
Daniel P GiovencoCenter for Tobacco Studies, Rutgers School of Public Health, New Brunswick, NJ;
Michael B SteinbergRutgers Cancer Institute of New Jersey, New Brunswick, NJ; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ;
Andrea C VillantiThe Schroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
Jennifer L PearsonThe Schroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
Raymond S NiauraThe Schroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
David B AbramsThe Schroeder Institute for Tobacco Research and Policy Studies at Truth Initiative, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
Johns Hopkins University · USAmerican Legacy Foundation · USJohnson University · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · US

Funding

Physicians' Perceptions, Attitudes, and Communication of E-Cigarettes (PACE)R01CA190444 · NCI · RBHS-SCHOOL OF PUBLIC HEALTH · PI DELNEVO, CRISTINE D, STEINBERG, MICHAEL B. · 2015 to 2019
$3.1M
EMA and Lab Assessment of Nicotine Dependence Among Dual End UsersK01DA037950 · NIDA · UNIVERSITY OF NEVADA RENO · PI PEARSON, JENNIFER LYNN · 2014 to 2017
$611k
NCI NIH HHS R01CA19044NCI NIH HHS R01 CA190444NIDA NIH HHS K01 DA037950NIDA NIH HHS K01DA037950
6 · The paper itself

Abstract

introductionAmid increasing rates of electronic cigarette (e-cigarette) use in the United States, there is an urgent need to monitor patterns of use at the population level in order to inform practice, policy and regulation. This article examines how patterns of e-cigarette use among adults differ between users and nonusers of cigarettes using the most current national data.

methodsWe analyzed data from the 2014 National Health Interview Survey. We estimated prevalence of ever, current, and daily e-cigarette use and examined how use patterns differed by demographic subgroups and measures of cigarette smoking status that accounted for the recent availability of e-cigarettes in the US marketplace.

resultsCurrent e-cigarette use is extremely low among never cigarette smokers (0.4%) and former smokers who quit cigarettes 4 or more years ago (0.8%). Although e-cigarette experimentation is most common among current cigarette smokers and young adults, daily use is highest among former smokers who quit in the past year (13.0%) and older adults. Compared to daily cigarette smokers, recently quit smokers were more than four times as likely to be daily users of e-cigarettes (AOR: 4.33 [95% CI: 3.08-6.09]).

conclusionsExtremely low e-cigarette use among never-smokers and longer term former smokers suggest that e-cigarettes neither promote widespread initiation nor relapse among adults. Recognition of the heterogeneity of smokers, including the time since quitting, is critical to draw accurate conclusions about patterns of e-cigarette use at the population level and its potential for public health benefit or harm. IMPLICATIONS: Data from 2014 National Health Interview Survey indicate that e-cigarettes have not been attracting adult non-smokers or promoting relapse in longer term former smokers. Moreover, the data are suggestive that some recent quitters may have done so with the assistance of e-cigarettes. Creating measures of smoking status that treat former smokers as a homogenous group is insufficient to assess the epidemiology of e-cigarette use and the potential impact on public health.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationHumansSmokingUnited States

Identifiers

PMID26525063
PMCPMC5896829
OpenAlexW2175490557

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.