Evidence map›Paper›PMID 38723251›Full record

ArticleJMIR formative research2024

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model.

Yanyun He, Qian Yang, Yousef Alish, Shaoying Ma, Zefeng Qiu, Jian Chen, Theodore Wagener, Ce Shang

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trends in product characteristics of disposable e-cigarettes sold by US online stores between 2022 and 2024.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  2. 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

8 authors.

Yanyun HeCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-6279-6102
Qian YangCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-8797-1824
Yousef AlishCenter for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0009-0006-2675-9295
Shaoying MaCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-6086-0622
Zefeng QiuDepartment of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0009-0002-8451-8001
Jian ChenDepartment of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-1599-0831
Theodore WagenerCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-9072-228X
Ce ShangCenter for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-8838-4250

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
The Ohio State University Tobacco Center of Regulatory Science (OSU-TCORS)U54CA287392 · NCI · OHIO STATE UNIVERSITY · PI AHMAD EL HELLANI · 2023 to 2026
$19.5M
Rutgers Center of Excellence in Rapid Surveillance of TobaccoU01CA278695 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CRISTINE D DELNEVO, Ollie Ganz · 2023 to 2026
$14.0M
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 P30 CA016058NCI NIH HHS R21 CA249757NCI NIH HHS U01 CA278695NCI NIH HHS U54 CA287392
6 · The paper itself

Abstract

backgroundOpen-system electronic cigarette (EC) product features, such as battery capacity, maximum output wattage, and so forth, are major components that drive product costs and may influence use patterns. Moreover, continued innovation and monitoring of product features and prices will provide critical information for designing appropriate taxation policies and product regulations.

objectiveThis study will examine how product features are associated with the prices of devices sold in web-based vape shops.

methodsWe draw samples from 5 popular, US-based, web-based vape shops from April to August 2022 to examine starter kits, device-only products, and e-liquid container-only products. We implemented a linear regression model with a store-fixed effect to examine the association between device attributes and prices.

resultsEC starter kits or devices vary significantly by type, with mod prices being much higher than pod and vape pen prices. The prices of mod starter kits were even lower than those of mod devices, suggesting that mod starter kits are discounted in web-based vape shops. The price of mod kits, mod device-only products, and pod kits increased as the battery capacity and output wattage increased. For vape pens, the price was positively associated with the volume size of the e-liquid container. On the other hand, the price of pod kits was positively associated with the number of containers.

conclusionsA unit-based specific tax, therefore, will impose a higher tax burden on lower-priced devices such as vape pens or pod systems and a lower tax burden on mod devices. A volume- or capacity-based specific tax on devices will impose a higher tax burden on vape pens with a larger container size. Meanwhile, ad valorem taxes pegged to wholesale or retail prices would apply evenly across device types, meaning those with advanced features such as higher battery capacities and output wattage would face higher rates. Therefore, policy makers could manipulate tax rates by device type to discourage the use of certain device products.

Indexed as

battery capacityconsumerconsumersconsumer safetycostcostsdevicedevicese-cigarettee-cigarette deviceseconomiceconomicsfeaturefeatureshealth economicsoutput wattagepricepricespricingproduct safetyregressionregression modelsmokersmokerssmokingsmoking productstaxtaxationtaxesvapevapingweb-based vape shop

Identifiers

PMID38723251
PMCPMC11117130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.