Evidence map›Paper›PMID 29175027›Full record

ReviewAddictive behaviors2018

Measuring perceptions related to e-cigarettes: Important principles and next steps to enhance study validity.

Laura A Gibson, MeLisa R Creamer, Alison B Breland, Aida Luz Giachello, Annette Kaufman, Grace Kong, Terry F Pechacek, Jessica K Pepper, Eric K Soule, Bonnie Halpern-Felsher

Abstract readReview
In one paragraph

Review in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Framing Effects in Youth E-Cigarette Use Prevention: Individual Text Messages Versus Simulated Text Exchanges.Health education & behavior : the official publication of the Society for Public Health Education · 2023
    Trial
  2. Trial
  3. 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
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dual Use of Nicotine and Cannabis Through Vaping Among Adolescents.American journal of preventive medicine · 2022
    Article
  13. The Indirect Effect of Cigarette Smoking on e-Cigarette Progression via Substitution Beliefs.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022
    Article
  14. Article
  15. Prevalence of Young Adult Vaping, Substance Vaped, and Purchase Location Across Five Categories of Vaping Devices.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  16. Article
  17. Effects of Social Media on Adolescents' Willingness and Intention to Use E-Cigarettes: An Experimental Investigation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  18. Article
  19. Comparison of a General and Conditional Measure of E-Cigarette Harm Perceptions.International journal of environmental research and public health · 2020
    Article
  20. 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

10 authors.

Laura A GibsonUniversity of Pennsylvania, Philadelphia, PA, USA. Electronic address: LGibson@asc.upenn.edu.
MeLisa R CreamerUniversity of Texas Health Science Center, Houston School of Public Health, Austin, Regional Campus, TX, USA.
Alison B BrelandVirginia Commonwealth University, Richmond, VA, USA.
Aida Luz GiachelloNorthwestern University, Chicago, IL, USA.
Annette KaufmanTobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, Rockville, MD, USA.
Grace KongYale University School of Medicine, New Haven, CT, USA.
Terry F PechacekGeorgia State University, Atlanta, GA, USA.
Jessica K PepperUniversity of North Carolina at Chapel Hill, NC, USA; RTI International, Research Triangle Park, NC, USA.
Eric K SouleVirginia Commonwealth University, Richmond, VA, USA.
Bonnie Halpern-FelsherStanford University, Palo Alto, CA, USA. Electronic address: Bonnie.halpernfelsher@stanford.edu.

Funding

Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
Training and Education p489-500P50CA180890 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2013 to 2018
$20.5M
Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI SRIVASTAVA, SANJAY · 2013 to 2017
$20.1M
Training & Education Core p335-350P50CA180906 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PERRY, CHERYL LEE · 2013 to 2017
$19.7M
The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
Training and Education Core p270-287P50DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EISSENBERG, THOMAS EVAN · 2013 to 2017
$19.2M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2013 to 2017
$18.7M
NCI NIH HHS P50 CA179546NCI NIH HHS P50 CA180890NCI NIH HHS P50 CA180906NHLBI NIH HHS P50 HL120163NHLBI NIH HHS U54 HL120163NIDA NIH HHS P50 DA036105NIDA NIH HHS P50 DA036128NIDA NIH HHS P50 DA036151
6 · The paper itself

Abstract

Measuring perceptions associated with e-cigarette use can provide valuable information to help explain why youth and adults initiate and continue to use e-cigarettes. However, given the complexity of e-cigarette devices and their continuing evolution, measures of perceptions of this product have varied greatly. Our goal, as members of the working group on e-cigarette measurement within the Tobacco Centers of Regulatory Science (TCORS) network, is to provide guidance to researchers developing surveys concerning e-cigarette perceptions. We surveyed the 14 TCORS sites and received and reviewed 371 e-cigarette perception items from seven sites. We categorized the items based on types of perceptions asked, and identified measurement approaches that could enhance data validity and approaches that researchers may consider avoiding. The committee provides suggestions in four areas: (1) perceptions of benefits, (2) harm perceptions, (3) addiction perceptions, and (4) perceptions of social norms. Across these 4 areas, the most appropriate way to assess e-cigarette perceptions depends largely on study aims. The type and number of items used to examine e-cigarette perceptions will also vary depending on respondents' e-cigarette experience (i.e., user vs. non-user), level of experience (e.g., experimental vs. established), type of e-cigarette device (e.g., cig-a-like, mod), and age. Continuous formative work is critical to adequately capture perceptions in response to the rapidly changing e-cigarette landscape. Most important, it is imperative to consider the unique perceptual aspects of e-cigarettes, building on the conventional cigarette literature as appropriate, but not relying on existing conventional cigarette perception items without adjustment.

Indexed as

Electronic Nicotine Delivery SystemsHealth Knowledge, Attitudes, PracticeVapingHumansReproducibility of ResultsRisk AssessmentSocial NormsBeliefsE-cigaretteElectronic cigaretteMeasurementPerceptionsVaping

Identifiers

PMID29175027
PMCPMC5807230

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.