Evidence map›Paper›PMID 39450424›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

Cost Comparison and Spending on Tobacco Products: Evidence From A Nationally Representative Sample of Adult E-cigarette Users.

Shaoying Ma, Qian Yang, Sooa Ahn, Hojin Park, Yanyun He, John F P Bridges, Ce Shang

Abstract readComparative Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shaoying MaCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-6086-0622
Qian YangCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Sooa AhnCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Hojin ParkCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0001-5581-6427
Yanyun HeCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0001-6279-6102
John F P BridgesDepartment of Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Ce ShangCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-8838-4250

Funding

The impact of ENDS tax policies on the consumption of ENDS and cigarettesR21CA249757 · NCI · OHIO STATE UNIVERSITY · PI SHANG, CE · 2021 to 2021
$401k
NCI NIH HHS #R21CA249757NCI NIH HHS R21 CA249757NIH HHSOhio State University Comprehensive Cancer Center
6 · The paper itself

Abstract

introductionOver 20 states and local jurisdictions in the United States have imposed e-cigarette taxes. It is important to evaluate how adult vapers, including those who also smoke respond to e-cigarette taxation. The purpose of this study is to examine factors associated with adult vapers' cost comparison between e-cigarettes and cigarettes (ie, which one is perceived to be more expensive) and expenditures (ie, dollars spent) on these two products. AIMS AND

methodsWe recruited a nationally representative sample of 801 adult e-cigarette users in the United States., who participated in an online survey in April-May 2023. Nested-ordered logit and ordinary least squares regressions were used in the analysis.

resultsOn average, adult vapers spent $82.22 per month on e-cigarettes, and dual users spent $118.77 per month on cigarettes. More frequent e-cigarette use, lower state-level e-cigarette taxes, age, and exclusive use of rechargeable tank systems with e-liquids were associated with considering e-cigarettes as less expensive than cigarettes. Exclusive use of tank systems was associated with lower e-cigarette spending. Adults who used e-cigarettes more frequently preferred to report weekly (vs. monthly) spending on e-cigarettes; among dual users, everyday smokers were more likely to think of weekly (vs. monthly) spending on cigarettes compared to someday smokers.

conclusionsAmong U.S. adult vapers, tobacco use frequency, and e-cigarette device type are closely related to cost measures; e-cigarette taxes are associated with cost comparison between e-cigarettes and cigarettes, suggesting potential financial disincentive for vaping. Policymakers may consider imposing differential taxes on e-cigarette product types due to their different costs to consumers. IMPLICATIONS: This study provides supportive evidence that e-cigarette taxes may impact how vapers compare the costs of e-cigarettes relative to cigarettes. Given different expenditures and cost comparisons by e-cigarette device types, tax, and policy design may need to be taken into consideration of e-cigarette device types. We also found that indoor tobacco use restrictions in shared housing may reduce vaping, and future research is needed. The associations between sociodemographics and cost comparison and expenditures reflect known patterns in price responsiveness and vaping prevalence. Cost comparison and expenditures are related measures, which may further reflect product affordability.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdolescentAdultCosts and Cost AnalysisFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTaxesUnited StatesYoung Adult

Identifiers

PMID39450424
PMCPMC12280165

What OpenQuestion holds

Textmetadata
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.