Evidence map›Paper›PMID 31542145›Full record

Trial reportAmerican journal of preventive medicine2019

Impact of Brief Nicotine Messaging on Nicotine-Related Beliefs in a U.S. Sample.

Andrea C Villanti, Julia C West, Darren Mays, Eric C Donny, Joseph N Cappella, Andrew A Strasser

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Regulatory Approaches and Implementation of Minimally Addictive Combusted Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Pooled it
  2. Examining Spontaneous Cognitive and Emotional Reactions to Messages About Very Low Nicotine Cigarettes (VLNCs).Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Trial
  3. Impact of Survey Item Wording and Response Options on Prevalence of Beliefs About Nicotine Causing Cancer: A Randomized Survey Experiment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Educating the Public on the Health Risks of Very Low Nicotine Content Cigarettes: Results From a US-Based Convenience Sample.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  9. Article
  10. Exploring the Underlying Beliefs Shaping Perceptions of E-cigarette Harm Among a Convenience Sample of Adults in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Predictors of Nicotine Replacement Therapy Adherence: Mixed-Methods Research With a Convergent Parallel Design.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
    Article
  17. Article
  18. Assessing Attention to Tobacco Warnings With a Heatmapping Task.American journal of preventive medicine · 2023
    Article
  19. Article
  20. Associations Between Nicotine Knowledge and Smoking Cessation Behaviors Among US Adults Who Smoke.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    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

6 authors at 4 institutions in 1 country.

Andrea C VillantiVermont Center on Behavior and Health, Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, Vermont. Electronic address: avillant@uvm.edu.
Julia C WestVermont Center on Behavior and Health, Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, Vermont.
Darren MaysDepartment of Oncology, Georgetown University Medical Center, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
Eric C DonnyDepartment of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Joseph N CappellaAnnenberg School for Communication at the University of Pennsylvania, Philadelphia, Pennsylvania.
Andrew A StrasserDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USUniversity of Vermont · USGeorgetown University · USWake Forest University · US

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LE, CHAP T. · 2011 to 2022
$64.7M
Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SIGMON, STACEY C · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GANZ, OLLIE · 2018 to 2022
$18.8M
Perceptions of Nicotine and Relative Harm of Tobacco Products in U.S. Young AdultsR03CA212694 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI VILLANTI, ANDREA · 2017 to 2018
$242k
NCI NIH HHS R03 CA212694NCI NIH HHS U54 CA229973NIDA NIH HHS U54 DA031659NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

introductionThe current study pilot tested the effect of a single, brief exposure to nicotine education messages on beliefs about nicotine, nicotine-replacement therapy (NRT), E-cigarettes, and cigarettes with reduced nicotine content (RNC).

methodsFive hundred and twenty-one U.S. adults (aged ≥18 years) completed a 15-minute survey on Amazon Mechanical Turk in 2018. After completing items on sociodemographics, literacy, and cancer risk behaviors, participants were randomized in a 2:1:1 ratio to 1 of 3 conditions: nicotine education (n=263), sun safety education (attention control, n=128), or no message control (n=130). All participants completed items regarding nicotine, NRT, E-cigarette, and RNC cigarette beliefs, as well as norms about nicotine use, behavioral control regarding cigarette/tobacco use, and intention to use cigarettes, NRT, E-cigarettes, and RNC cigarettes in the next 12 months. Analyses were conducted in 2019.

resultsFollowing exposure, nicotine education participants reported fewer false beliefs about nicotine (p<0.001), NRT (p<0.001), E-cigarettes (p<0.05), and RNC cigarettes (p<0.05) compared with the control conditions. Nicotine messaging doubled the probability of a correct response (false, 78.3% vs 36.8%) to nicotine is a cause of cancer and dramatically reduced the probability of responding don't know to this item (5.3% vs 26.0%). There was no impact of the intervention on beliefs about other substances within cigarette, norms, or behavioral intentions.

conclusionsFindings from the current study support the hypothesis that a brief nicotine messaging intervention-similar to the messages likely to be seen on warning labels or in media campaigns-is likely to correct misperceptions of nicotine, NRT, E-cigarettes, and RNC cigarettes.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAgedCigarette SmokingFemaleHealth EducationHumansLinear ModelsMaleMiddle AgedSampling StudiesSmoking CessationSurveys and QuestionnairesTobacco ProductsTobacco Use Disorder

Identifiers

PMID31542145
PMCPMC6756180
OpenAlexW2974372470

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.