Evidence map›Paper›PMID 28729198›Full record

ArticlePreventive medicine2017

E-cigarette awareness, perceived harmfulness, and ever use among U.S. adults.

Irene Pericot-Valverde, Diann E Gaalema, Jeff S Priest, Stephen T Higgins

Abstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Intentions to Use FDA-Authorized E-Cigarettes Among Adults Who Smoke Cigarettes in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  20. Body esteem, weight-control outcome expectancies, and e-cigarette use among young adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    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

4 authors.

Irene Pericot-ValverdeVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States; Department of Psychiatry, University of Vermont, Burlington, VT, United States; Department of Psychology, University of Vermont, Burlington, VT, United States. Electronic address: ipericot@uvm.edu.
Diann E GaalemaVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States; Department of Psychiatry, University of Vermont, Burlington, VT, United States; Department of Psychology, University of Vermont, Burlington, VT, United States.
Jeff S PriestDepartment of Medical Biostatistics, University of Vermont Medical Center, Burlington, VT, United States.
Stephen T HigginsVermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States; Department of Psychiatry, University of Vermont, Burlington, VT, United States; Department of Psychology, University of Vermont, Burlington, VT, United States.

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SIGMON, STACEY C · 2013 to 2022
$21.3M
Vermont Center on Tobacco Regulatory ScienceP50DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2017
$19.1M
NIDA NIH HHS P50 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

The overarching aims of this study are to (a) estimate and update knowledge on rates and predictors of awareness, perceived harmfulness, and ever use of e-cigarettes among U.S. adults and (b) to utilize that information to identify risk-factor profiles associated with ever use. Data were collected from the 2015 Health Information National Trends Survey (N=3738). Logistic regression was used to explore relationships between sociodemographics (gender, age, race/ethnicity, sexual orientation, educational attainment, income, and census region), current use of other tobacco products (conventional cigarettes, cigars, and smokeless tobacco), ever use of alternative products (hookah, pipes, roll-your-own cigarettes, and snus) and e-cigarette awareness, perceived harm, and ever use. Classification and regression tree (CART) modeling was used to examine risk-factor profiles of e-cigarette ever use. Results showed that most respondents were aware of e-cigarettes (83.6%) and perceived them to be not at all or moderately harmful (54.7%). Prevalence of e-cigarette ever use was 22.4%. Current cigarette smoking and ever use of alternative tobacco products were powerful predictors of use. Other predictors of use of e-cigarettes were age, race/ethnicity, and educational attainment. Awareness and perceived harm were significant predictors among particular smoker subgroups. Fifteen risk profiles were identified across which prevalence of e-cigarette use varied from 6 to 94%. These results underscore the need to continue monitoring patterns of e-cigarette use. They also provide new knowledge regarding risk-profiles associated with striking differences in prevalence of e-cigarette use that have the potential to be helpful when considering the need for or impact of e-cigarette regulatory policies.

Indexed as

Health Knowledge, Attitudes, PracticePerceptionAdolescentAdultAgedElectronic Nicotine Delivery SystemsFemaleHealth SurveysHumansMaleMiddle AgedRisk FactorsSmokersSmokingSocioeconomic FactorsSurveys and QuestionnairesAwarenessClassification and regression tree (CART)Electronic cigarettesEver usePerceived harmPrevalence

Identifiers

PMID28729198
PMCPMC5871224

What OpenQuestion holds

Textmetadata
LicenceTDM
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.