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Nian Q, Hardesty JJ, Crespi E, Sinamo J, Kennedy RD, Welding K, Cohen JE. Is Maintenance or Switching Between Freebase and Nicotine Salt Liquid Associated with Electronic Nicotine Delivery Systems Dependence? Subst Use Misuse 2024; 59:1613-1619. [PMID: 38918934 DOI: 10.1080/10826084.2024.2369154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
BACKGROUND Electronic nicotine delivery systems (ENDS) use one of two formulations of nicotine-freebase or nicotine salt. This study examines whether maintenance or switching between nicotine formulations is associated with ENDS dependence using longitudinal survey data. METHODS 543 U.S. adults (21+) using ENDS frequently (5+ days/week) self-reported and uploaded photos of their most used ENDS liquids in wave 3-5 online surveys from September 2021 to April 2023. Nicotine formulation from photo data was used if available; otherwise, self-reported data were used. ENDS dependence was measured in each wave by a 4-item E-cigarette Dependence Scale (EDS: range 0-4, 4 being most dependent). Data were analyzed using ANCOVA. RESULTS Participants using nicotine salt liquids in three waves reported the highest EDS in wave 5 (49.3%, EDS = 2.59), followed by participants switching from salt to freebase (3.2%, EDS = 2.58), participants switching from freebase to salt (10.1%, EDS = 2.52), participants using freebase in three waves (34.9%, EDS = 2.18), and participants changing back and forth (2.4%, EDS = 2.11). After controlling for smoking status, participants stably using nicotine salt and participants switching from freebase to salt reported significantly higher EDS than those stably using freebase (p < 0.01). CONCLUSIONS Over an 18-month period, people consistently using nicotine salt liquids and participants switching from freebase to nicotine salt were more likely to have a higher ENDS dependence than those consistently using freebase liquids. Understanding how switching between nicotine formulations relates to ENDS dependence can inform nicotine formulation and concentration regulations that may impact addiction.
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Affiliation(s)
- Qinghua Nian
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jeffrey J Hardesty
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elizabeth Crespi
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joshua Sinamo
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ryan David Kennedy
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kevin Welding
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joanna E Cohen
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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He Y, Liber A, Driezen P, Thompson ME, Levy DT, Fong GT, Cummings KM, Shang C. How do users compare the costs between nicotine vaping products and cigarettes? Findings from the 2016-2020 International Tobacco Control United States surveys. Addiction 2024; 119:885-897. [PMID: 38186201 PMCID: PMC11009094 DOI: 10.1111/add.16425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/23/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND AND AIMS Nicotine vaping products (NVPs) can potentially help adult tobacco users quit smoking. This study evaluated how adult consumers compare the costs between NVPs and cigarettes. METHOD We used data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) surveys to perform a multinomial logit model with two-way fixed effects to measure how perceived cost comparisons are associated with NVP and cigarette taxes, use patterns, NVP device types and individual sociodemographic factors. RESULTS Higher cigarette taxes are associated with a greater likelihood of perceiving NVPs and cigarettes as costing the same for the overall population and among people who exclusively smoke, and a lower likelihood of perceiving NVPs as more expensive among people who exclusively vape, compared with lower cigarette taxes. Pre-filled cartridge and tank users are more likely to perceive NVPs as less expensive than cigarettes, compared with people who use other types of NVPs. The associations between taxes and perceived cost comparison were more pronounced among males, younger and low-income populations. CONCLUSIONS Higher cigarette taxes are associated with perceived financial incentives for nicotine vaping products (NVPs) over cigarettes, whereas NVP taxes are not associated with perceived cost comparison between NVPs and cigarettes.
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Affiliation(s)
- Yanyun He
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Alex Liber
- Department of Oncology, School of Medicine, Georgetown University, Washington, DC, USA
| | - Pete Driezen
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Mary E. Thompson
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - David T. Levy
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Geoffrey T. Fong
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - K. Michael Cummings
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Ce Shang
- Department of Internal Medicine, Medical Oncology Division, The Ohio State University, Columbus, OH, USA
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Ma S, Kaareen A, Park H, He Y, Jiang S, Qiu Z, Xie Z, Li D, Chen J, O'Connor RJ, Fong GT, Shang C. How to Identify e-Cigarette Brands Available in the United States During 2020-2022: Development and Usability Study. JMIR Form Res 2024; 8:e47570. [PMID: 38416562 PMCID: PMC10938231 DOI: 10.2196/47570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 10/31/2023] [Accepted: 01/30/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Prior studies have demonstrated that the e-cigarette market contains a large number of brands. Identifying these existing e-cigarette brands is a key element of market surveillance, which will further assist in policy making and compliance checks. OBJECTIVE To facilitate the surveillance of the diverse product landscape in the e-cigarette market, we constructed a semantic database of e-cigarette brands that have appeared in the US market as of 2020-2022. METHODS In order to build the brand database, we searched and compiled e-cigarette brands from a comprehensive list of retail channels and sources, including (1) e-liquid and disposable brands sold in web-based stores, (2) e-cigarette brands sold in brick-and-mortar stores and collected by the Nielsen Retail Scanner Data, (3) e-cigarette brands compiled by Wikipedia, (4) self-reported e-cigarette brands from the 2020 International Tobacco Control Four-Country Smoking and Vaping (ITC 4CV) US survey, and (5) e-cigarette brands on Twitter. We also estimated the top 5 e-cigarette brands by sales volume in brick-and-mortar stores, by the frequency and variety of offerings in web-based shops, and by the frequency of self-reported brands from the 2020 ITC 4CV US survey. RESULTS As of 2020-2022, a total of 912 e-cigarette brands have been sold by various retail channels. During 2020-2022, the top 5 brands are JUUL, vuse, njoy, blu, and logic in brick-and-mortar stores; blu, king, monster, twist, and air factory for e-liquids in web-based stores; hyde, pod mesh, suorin, vaporlax, and xtra for disposables sold in web-based stores; and smok, aspire, vaporesso, innokin, and eleaf based on self-reported survey data. CONCLUSIONS As the US Food and Drug Administration enforces the premarket tobacco market authorization, many e-cigarette brands may become illegal in the US market. In this context, how e-cigarette brands evolve and consolidate in different retail channels will be critical for understanding the regulatory impacts on product availability. Our semantic database of e-cigarette brands can serve as a useful tool to monitor product and marketplace development, conduct compliance checks, assess manufacturers' marketing behaviors, and identify regulatory impacts.
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Affiliation(s)
- Shaoying Ma
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Aadeeba Kaareen
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Hojin Park
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Yanyun He
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Shuning Jiang
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States
| | - Zefeng Qiu
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States
| | - Zidian Xie
- Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States
| | - Dongmei Li
- Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States
| | - Jian Chen
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States
| | - Richard J O'Connor
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Geoffrey T Fong
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Ce Shang
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States
- Department of Internal Medicine, Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
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