Evidence map›Paper›PMID 33633330›Full record

ArticleScientific reports2021

Flavor and product messaging are the two most important drivers of electronic cigarette selection in a choice-based task.

Allison N Baker, Stephen J Wilson, John E Hayes

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Exploring Perceptions of Anti-vaping Message Themes: A Qualitative Study of Australian Adolescents and Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  6. Review
  7. Article
  8. Differentiating Reasons for Young Adult E-cigarette Use Using Maximum Difference Choice Models.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  9. Article
  10. Expanding the E-Liquid Flavor Wheel: Classification of Emerging E-Liquid Flavors in Online Vape Shops.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. Review
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

3 authors.

Allison N BakerGraduate Program in Neuroscience, The Pennsylvania State University, University Park, PA, 16802, USA.
Stephen J WilsonDepartment of Psychology, College of the Liberal Arts, The Pennsylvania State University, University Park, PA, 16802, USA.
John E HayesSensory Evaluation Center, The Pennsylvania State University, University Park, PA, 16802, USA. jeh40@psu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic cigarette use-vaping-is increasingly popular. Various product factors may influence an individual's choice of e-cigarette. To provide an evidence base for e-cigarette regulation, a better understanding of the role different product attributes play in product preferences is needed. Here, we used conjoint analysis to quantify different factors that influence e-cigarettes choices, including flavors, nicotine level, customizability, or use of e-cigarettes to manage appetite/food craving. Young adults completed a set of choice-based conjoint tasks online. Choice Based Conjoint analysis (CBC) was used to determine utility scores for each attribute. Young adults (n = 587) who vaped at least once per week were included in analyses; gender differences were explored. Flavor was the most important attribute (48.1%), followed by product messaging (21.0%) and nicotine level (15.3%). Within flavor, confectionery and fruit flavors had the highest utility scores, while classic menthol and tobacco flavors had the lowest. Men and women differed in flavors, nicotine levels, and product messaging that appealed most. Among young adults who vape weekly, flavor is the most important factor in e-cigarette preferences. Gender also factors into e-cigarette preferences, especially for preferred nicotine level. Understanding why individuals choose particular e-cigarette products will help inform public health efforts and policy making.

Indexed as

Choice BehaviorElectronic Nicotine Delivery SystemsTasteAdolescentAdultFemaleHumansMaleYoung Adult

Identifiers

PMID33633330
PMCPMC7907091

What OpenQuestion holds

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Registered trials

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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.