Evidence map›Paper›PMID 36719042›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Differentiating Reasons for Young Adult E-cigarette Use Using Maximum Difference Choice Models.

Matthew D Stone, Jessica L Braymiller, David R Strong, Sam N Cwalina, Claudiu V Dimofte, Jessica L Barrington-Trimis

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Matthew D StoneHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, USA.ORCID 0000-0002-1152-0621
Jessica L BraymillerDepartment of Community Health and Health Behavior, University at Buffalo, The State University of New York, New York, USA.
David R StrongHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, USA.ORCID 0000-0002-5383-9032
Sam N CwalinaDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, USA.ORCID 0000-0002-0117-3275
Claudiu V DimofteDepartment of Marketing, Fowler College of Business, San Diego State University, San Diego, USA.
Jessica L Barrington-TrimisDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, USA.

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2018 to 2026
$39.0M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI STRASSER, ANDREW A · 2018 to 2022
$18.8M
Vaping Nicotine and Cannabis Across Adolescence and Young AdulthoodR01CA229617 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE, LEVENTHAL, ADAM MATTHEW · 2019 to 2024
$4.3M
Understanding Transitions from Vaping to Smoking Across AdolescenceK01DA042950 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE · 2017 to 2021
$1.0M
NCI NIH HHS R01 CA229617NCI NIH HHS U54 CA180905NCI NIH HHS U54 CA229973NIDA NIH HHS K01 DA042950
6 · The paper itself

Abstract

introductionUnderstanding the reasons young adults use e-cigarettes (ie, vape)-and whether these motivations vary across groups-is essential for informing tobacco regulatory efforts. AIMS AND

methodsAn online panel of young adults who vape (n = 230; age = 18-30 years) completed a maximum difference discrete choice task for 15 reasons for vaping. Over 9 choice sets, participants were presented a subset of 5 reasons and selected the most and least important. Hierarchical bayesian analysis estimated the relative importance of each reason. Latent class analysis (LCA) identified groups with similarly ranked reasons for use. Multinomial regression evaluated the association between sample characteristics and class membership.

resultsOverall, relaxation had the highest probability of being the most important reason for use (14.8%), followed by harm reduction (13.2%), and flavors (10.3%). LCA identified five distinct classes, based on top reasons for use: 1. cessation (cigarette cessation [20.2%]; n = 80); 2. dependence (relaxation [20.5%] and unable to quit [19.2%]; n = 21); 3. relaxation (relaxation [20.6%]; n = 66); 4. socializing (socializing [22.2%]; n = 27); and 5. variable (boredom [10.5%] and acceptability [10.2%]; n = 36). Participants who were older, smoked cigarettes, or vaped more frequently were more likely to belong to the cessation class while those who were younger or more e-cigarette dependent were more likely to belong to the dependence class.

conclusionsPerceived reasons why young adults vape are highly heterogeneous and dependent on the type of user. Tobacco regulatory efforts targeting distinct types of vapers are needed to minimize the adverse public health impact of vaping without compromising appeal for smoking cessation. IMPLICATIONS: E-cigarette use remains high among young adults, with flavors, cost, and harm reduction (vs. combustible cigarettes) among the mostly commonly reported reasons for use. Yet, little is known about how relatively important these reasons are to the individual. Leveraging a maximum difference task, young adults' reasons for use were evaluated on a common interval scale and groups sharing similar reasons identified. Smoking cessation, dependence, relaxation, socialization, and boredom were respectively the most important reasons for use among five classes of vapers. E-cigarette regulatory policies should consider the distinct reasons for use as to not compromise their appeal for smoking cessation.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsVapingAdolescentAdultBayes TheoremHumansYoung Adult

Identifiers

PMID36719042
PMCPMC10202642

What OpenQuestion holds

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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.