Evidence map›Paper›PMID 30575186›Full record

ArticleAddiction (Abingdon, England)2019

The impact of vaping and regulatory environment on cigarette demand: behavioral economic perspective across four countries.

Bryan W Heckman, Geoffrey T Fong, Ron Borland, Sara Hitchman, Richard J O'Connor, Warren K Bickel, Jeffrey S Stein, Hua-Hie Yong, Georges J Nahhas, Derek A Pope and 4 more

Abstract readComparative Study
In one paragraph

Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

14 authors.

Bryan W HeckmanDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Geoffrey T FongDepartment of Psychology, University of Waterloo, Waterloo, Ontario, Canada.
Ron BorlandCancer Council Victoria, Melbourne, Victoria, Australia.
Sara HitchmanAddictions Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Richard J O'ConnorDepartment of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA.
Warren K BickelAddiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA.
Jeffrey S SteinAddiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA.
Hua-Hie YongCancer Council Victoria, Melbourne, Victoria, Australia.
Georges J NahhasDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Derek A PopeAddiction Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA, USA.
Ce ShangOklahoma Tobacco Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Kai-Wen ChengDepartment of Health Administration, Governors State University, University Park, IL, USA.
David T LevyDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CUMMINGS, KENNETH MICHAEL · 2016 to 2025
$25.3M
Personalized Smoking Relapse Prevention Delivered in Real-Time via Just-in-time Adaptive InterventionsK23DA041616 · NIDA · MEHARRY MEDICAL COLLEGE · PI HECKMAN, BRYAN WAYNE · 2017 to 2021
$929k
National Health and Medical Research Council of Australia APP1106451NCI NIH HHS P01 CA200512NIDA NIH HHS K23 DA041616Senior Investigator Grant from the Ontario Institute for Cancer Research
6 · The paper itself

Abstract

BACKGROUND AND

aimsGovernment regulations of nicotine vaping products (NVP) have evolved rapidly during the past decade. The impact of NVP regulatory environment and vaping on cigarette demand is unknown. The current study aims to investigate whether or not respondents' reported cigarette demand, as measured by a hypothetical cigarette purchase task, varies with (1) smoking status, (2) vaping status or (3) NVP regulatory environment (country used as proxy).

designCross-sectional survey data from wave 1 of the International Tobacco Control (ITC) Four Country Smoking and Vaping (4CV) Survey (2016).

settingAustralia, Canada, England and the United States.

participantsA total of 10 316 adult smokers. MEASUREMENTS: A hypothetical purchase task asked smokers to estimate how many cigarettes they would purchase for consumption in a single day across multiple cigarette prices. Responses were used to derive measures of cigarette demand. Overall sensitivity of cigarette consumption to price increases was quantified to index cigarette demand elasticity, whereas estimated consumption when cigarettes are free was used to index cigarette demand intensity.

findingsA majority of the non-daily smokers had previously smoked daily (72.3%); daily vapers were more likely to be former daily smokers (89.9%) compared to non-daily vapers (70.1%) and non-vapers (69.2%) (P < 0.001). The smoking status × vaping status interaction was significant for cigarette demand intensity (F = 4.93; P = 0.007) and elasticity (F = 7.30; P = 0.001): among non-daily smokers, vapers reported greater intensity but lower elasticity (i.e. greater demand) relative to non-vapers (Ps < 0.05). Among daily smokers, daily vapers reported greater intensity relative to non-vapers (P = 0.005), but vaping status did not impact elasticity (Ps > 0.38). Intensity was higher in Australia compared with all other countries (Ps < 0.001), but elasticity did not vary by country (F = 2.15; P = 0.09).

conclusionsIn a hypothetical purchase task, non-daily smokers showed lower price elasticity if they used e-cigarettes than if they did not, while there was no clear difference in elasticity between e-cigarette users and non-users among daily smokers or according to regulatory environment of their country with regard to e-cigarettes.

Indexed as

Cross-Cultural ComparisonSocial ValuesAdolescentAdultAgedAustraliaCanadaCosts and Cost AnalysisCross-Sectional StudiesEconomics, BehavioralEnglandFemaleHumansMaleMiddle AgedMotivationBehavioral economicsdemande-cigarettespolicypricetobacco controlvaping

Identifiers

PMID30575186
PMCPMC7029808

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.