Literature DB >> 31313403

Behavioral economic tobacco demand in relation to cigarette consumption and nicotine dependence: a meta-analysis of cross-sectional relationships.

Alba González-Roz1,2, Jacob Jackson2, Cara Murphy3, Damaris J Rohsenow3, James MacKillop2,3.   

Abstract

BACKGROUND AND AIMS: A cigarette purchase task (CPT) aims to characterize individual variation in the reinforcing value of tobacco. This meta-analysis estimated the associations between cigarette demand, tobacco consumption and nicotine dependence using this task.
DESIGN: A meta-analysis of cross-sectional studies identified by PubMed and PsycINFO databases was conducted. Fixed- and random-effects models were used. The study also examined the model used to derive elasticity of demand (exponential or exponentiated) as a potential moderator. Publication bias was assessed using 'fail-safe N', Begg-Mazumdar test, Egger's test, Tweedie's trim-and-fill approach and meta-regression of publication year with effect size.
SETTING: Studies from any setting that reported coefficient correlations on the tested associations. PARTICIPANTS: Daily cigarette users (i.e. 5 to 38 cigarettes per day; n = 7649). MEASUREMENTS: Cigarette consumption, nicotine dependence and five tobacco demand indicators: intensity (i.e. consumption at no cost), elasticity (i.e. sensitivity to rises in costs), Omax (maximum expenditure), Pmax (i.e. price at which consumption becomes elastic) and breakpoint (i.e. price at which consumption ceases).
FINDINGS: Twenty-three studies met inclusion criteria. All the CPT indices were significantly correlated with smoking behavior (rs = 0.044-0.572, Ps = 0.012-10-8 ). Medium-to-large effect size associations were present for intensity, Omax, and elasticity, whereas small effects were obtained for breakpoint and Pmax . Evidence of a moderating effect of the different elasticity modeling approaches was not present. There was limited evidence of publication bias.
CONCLUSIONS: All five demand indices derived from the cigarette purchase task by (CPT) were robustly associated with cigarette consumption and tobacco dependence. Of the demand indices, maximum expenditure, intensity and elasticity exhibited the largest magnitude associations.
© 2019 Society for the Study of Addiction.

Entities:  

Keywords:  Behavioral economics; cigarette; demand; meta-analysis; nicotine; purchase task; reinforcing value; smoking; tobacco

Mesh:

Year:  2019        PMID: 31313403     DOI: 10.1111/add.14736

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  28 in total

1.  Comparing participant estimated demand intensity on the cigarette Purchase Task to consumption when usual-brand cigarettes were provided free.

Authors:  Tyler D Nighbor; Anthony J Barrows; Janice Y Bunn; Michael J DeSarno; Anthony C Oliver; Sulamunn R M Coleman; Danielle R Davis; Joanna M Streck; Ellaina N Reed; Derek D Reed; Stephen T Higgins
Journal:  Prev Med       Date:  2020-07-24       Impact factor: 4.018

2.  Validation of an E-cigarette Purchase Task in Advanced Generation Device Users.

Authors:  Rachel N Cassidy; Victoria Long; Jennifer W Tidey; Suzanne M Colby
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

3.  Using the Cigarette Purchase Task to examine the relative reinforcing value of cigarettes among mothers with versus without opioid dependence.

Authors:  Tyler D Nighbor; Sulamunn R M Coleman; Janice Y Bunn; Michael J DeSarno; Adam L Morehead; Katherine J Tang; Diana R Keith; Shirley T Plucinski; Allison N Kurti; Ivori Zvorsky; Stephen T Higgins
Journal:  Exp Clin Psychopharmacol       Date:  2020-02-27       Impact factor: 3.157

Review 4.  Behavioral economic demand as a unifying language for addiction science: Promoting collaboration and integration of animal and human models.

Authors:  Justin C Strickland; Ryan T Lacy
Journal:  Exp Clin Psychopharmacol       Date:  2020-02-27       Impact factor: 3.157

5.  Relating individual differences in nicotine dependence severity to underpinning motivational and pharmacological processes among smokers from vulnerable populations.

Authors:  Stephen T Higgins; Michael DeSarno; Danielle R Davis; Tyler Nighbor; Joanna M Streck; Shana Adise; Roxanne Harfmann; Riley Nesheim-Case; Catherine Markesich; Derek Reed; Rachel F Tyndale; Diann E Gaalema; Sarah H Heil; Stacey C Sigmon; Jennifer W Tidey; Andrea C Villanti; Dustin Lee; John R Hughes; Janice Y Bunn
Journal:  Prev Med       Date:  2020-07-03       Impact factor: 4.018

6.  No evidence of the clinical utility of single-item breakpoint to inform on tobacco demand in persons with substance use disorders.

Authors:  Alba González-Roz; Roberto Secades-Villa; Gema Aonso-Diego; Sara Weidberg; José R Fernández-Hermida
Journal:  Psychopharmacology (Berl)       Date:  2021-05-24       Impact factor: 4.530

Review 7.  Reducing the relative value of cigarettes: Considerations for nicotine and non-nicotine factors.

Authors:  Cassidy M White; Dorothy K Hatsukami; Eric C Donny
Journal:  Neuropharmacology       Date:  2020-06-12       Impact factor: 5.250

8.  E-Cigarette Demand: Impact of Commodity Definitions and Test-Retest Reliability.

Authors:  Justin C Strickland; Olga A Vsevolozhskaya; William W Stoops
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

9.  Using an Optimized Marijuana Purchase Task to Examine Cannabis Demand in Relation to Cannabis Misuse in Heavy Drinking Emerging Adults.

Authors:  Meenu Minhas; Iris Balodis; Elizabeth R Aston; James G Murphy; James MacKillop
Journal:  J Stud Alcohol Drugs       Date:  2021-05       Impact factor: 2.582

10.  Experimental manipulations of behavioral economic demand for addictive commodities: a meta-analysis.

Authors:  Samuel F Acuff; Michael Amlung; Ashley A Dennhardt; James MacKillop; James G Murphy
Journal:  Addiction       Date:  2019-12-19       Impact factor: 6.526

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