Evidence map›Paper›PMID 28550711›Full record

ArticleDrug and alcohol dependence2017

Behavioral economic substitution between conventional cigarettes and e-cigarettes differs as a function of the frequency of e-cigarette use.

Sarah E Snider, K Michael Cummings, Warren K Bickel

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Behavioral Economics and Tobacco Control: Current Practices and Future Opportunities.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. E-Cigarette Demand: Impact of Commodity Definitions and Test-Retest Reliability.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
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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

3 authors.

Sarah E SniderAddiction Recovery Research Center, Virginia Tech Carilion Research Institute 2 Riverside Circle, Roanoke, VA, 24016, USA.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 68 President Street, Charleston, SC, 29425, USA.
Warren K BickelAddiction Recovery Research Center, Virginia Tech Carilion Research Institute 2 Riverside Circle, Roanoke, VA, 24016, USA. Electronic address: wkbickel@vtc.vt.edu.

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 HAMMOND, DAVID · 2016 to 2025
$25.3M
Variation in Cigarettes, Tobacco use Behaviors and Exposures in ITC CountriesP01CA138389 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CUMMINGS, KENNETH MICHAEL · 2009 to 2013
$13.4M
Tobacco Constituent and Biomarker Assessment CoreU19CA157345 · NCI · UNIVERSITY OF MINNESOTA · PI HATSUKAMI, DOROTHY K, SHIELDS, PETER G. · 2012 to 2016
$13.3M
NCI NIH HHS P01 CA138389NCI NIH HHS P01 CA200512NCI NIH HHS U19 CA157345
6 · The paper itself

Abstract

backgroundModels measuring the interactions between consumption of conventional cigarettes and electronic cigarettes (e-cigarettes) in the marketplace are becoming vital forecast tools as the popularity of e-cigarettes increases and policy on tobacco products changes. Behavioral economics, which involves the integration of psychology and consumer demand, can be used to measure individuals' purchase behavior under different marketplace conditions. Our goal was to measure hypothetical conventional cigarette and e-cigarette purchasing among smokers with varying e-cigarette use patterns.

methodsDaily cigarette smokers were recruited using Amazon Mechanical Turk, an online crowdsourcing tool. Participants were asked about their frequency of e-cigarette use and to complete hypothetical single and cross-commodity purchase tasks.

resultsFrequency of e-cigarette use differentially affected how individuals consumed both conventional and e- cigarettes in different hypothetical marketplace conditions. The present study demonstrates four main findings: 1) the demand for conventional cigarettes was the lowest in those with greater frequency of e-cigarette use, 2) the demand for e-cigarettes was the highest in those with greater frequency of e-cigarette use, 3) when both products were available together, daily e-cigarette users purchased more e-cigarettes, but e-cigarettes served as a substitute for cigarettes in all groups regardless of frequency of use, and 4) the demand for conventional cigarette demand was lower in frequent e-cigarette users when e-cigarettes were concurrently available.

conclusionsTogether, these data suggest that price and marketplace conditions will impact purchasing behavior of conventional and e-cigarettes users heterogeneously. Therefore, frequency of use patterns should be considered when implementing novel policies and/or marketplace changes.

Indexed as

AdolescentAdultConsumer BehaviorElectronic Nicotine Delivery SystemsFemaleHumansMaleSmokingTobacco ProductsYoung AdultBehavioral economicsCigarettesDemandE-cigarettesFrequency of useSubstitution

Identifiers

PMID28550711
PMCPMC5534369

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.