Literature DB >> 32717262

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

Tyler D Nighbor1, Anthony J Barrows2, Janice Y Bunn3, Michael J DeSarno3, Anthony C Oliver1, Sulamunn R M Coleman1, Danielle R Davis2, Joanna M Streck2, Ellaina N Reed2, Derek D Reed4, Stephen T Higgins5.   

Abstract

Accumulating evidence suggests that the hypothetical Cigarette Purchase Task (CPT), especially its demand Intensity index (i.e., estimated cigarettes participants would smoke if free), is associated with individual differences in smoking risk. Nevertheless, few studies have examined the extent to which hypothetical CPT demand Intensity may differ from consumption when participants are provided with free cigarettes. That topic is the overarching focus of the present study. Participants were 745 adult smokers with co-morbid psychiatric conditions or socioeconomic disadvantage. CPT was administered for usual-brand cigarettes prior to providing participants with seven days of their usual-brand cigarettes free of cost and consumption was recorded daily via an Interactive Voice Response (IVR) System. Demand Intensity was correlated with IVR smoking rate (rs 0.670-0.696, ps < 0.001) but estimates consistently exceeded IVR smoking rates by an average of 4.4 cigarettes per day (ps < 0.001). Importantly, both measures were comparably sensitive to discerning well-established differences in smoking risk, including greater cigarettes per day among men versus women (F(1,732) = 18.74, p < 0.001), those with versus without opioid-dependence (F(1,732) = 168.37, p < 0.001), younger versus older adults (F(2,730) = 32.93, p < 0.001), and those with lower versus greater educational attainment (F(1,732) = 38.26, p < 0.001). Overall, CPT demand Intensity appears to overestimate consumption rates relative to those observed when participants are provided with free cigarettes, but those deviations are systematic (i.e., consistent in magnitude and direction, Fs all <1.63; ps > 0.19 for all interactions with subgroups). This suggests that demand Intensity was sensitive to established group differences in smoking rate, supporting its utility as an important measure of addiction potential. Published by Elsevier Inc.

Entities:  

Keywords:  Addiction potential; Behavioral economics; Cigarette Purchase Task; Interactive Voice Response system; Smoking

Mesh:

Year:  2020        PMID: 32717262      PMCID: PMC7680356          DOI: 10.1016/j.ypmed.2020.106221

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  45 in total

1.  Multiple-choice procedure: an efficient approach for investigating drug reinforcement in humans.

Authors:  R.R. Griffiths; J.R. Troisi; K. Silverman; G.K. Mumford
Journal:  Behav Pharmacol       Date:  1993-02       Impact factor: 2.293

2.  Simulating demand for cigarettes among pregnant women: A Low-Risk method for studying vulnerable populations.

Authors:  Stephen T Higgins; Derek D Reed; Ryan Redner; Joan M Skelly; Ivori A Zvorsky; Allison N Kurti
Journal:  J Exp Anal Behav       Date:  2016-12-21       Impact factor: 2.468

3.  Identification and management of nonsystematic purchase task data: Toward best practice.

Authors:  Jeffrey S Stein; Mikhail N Koffarnus; Sarah E Snider; Amanda J Quisenberry; Warren K Bickel
Journal:  Exp Clin Psychopharmacol       Date:  2015-07-06       Impact factor: 3.157

4.  Addiction Potential of Cigarettes With Reduced Nicotine Content in Populations With Psychiatric Disorders and Other Vulnerabilities to Tobacco Addiction.

Authors:  Stephen T Higgins; Sarah H Heil; Stacey C Sigmon; Jennifer W Tidey; Diann E Gaalema; John R Hughes; Maxine L Stitzer; Hanna Durand; Janice Y Bunn; Jeff S Priest; Christopher A Arger; Mollie E Miller; Cecilia L Bergeria; Danielle R Davis; Joanna M Streck; Derek D Reed; Joan M Skelly; Lauren Tursi
Journal:  JAMA Psychiatry       Date:  2017-10-01       Impact factor: 21.596

Review 5.  Individual differences in smoking: gender and nicotine addiction.

Authors:  S Shiffman; S M Paton
Journal:  Nicotine Tob Res       Date:  1999       Impact factor: 4.244

6.  Cigarette smoking among opioid-dependent clients in a therapeutic community.

Authors:  JongSerl Chun; Nancy A Haug; Joseph R Guydish; James L Sorensen; Kevin Delucchi
Journal:  Am J Addict       Date:  2009 Jul-Aug

7.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire.

Authors:  T F Heatherton; L T Kozlowski; R C Frecker; K O Fagerström
Journal:  Br J Addict       Date:  1991-09

Review 8.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.

Authors:  D V Sheehan; Y Lecrubier; K H Sheehan; P Amorim; J Janavs; E Weiller; T Hergueta; R Baker; G C Dunbar
Journal:  J Clin Psychiatry       Date:  1998       Impact factor: 4.384

Review 9.  Behavioral economic measurement of cigarette demand: A descriptive review of published approaches to the cigarette purchase task.

Authors:  Derek D Reed; Gideon P Naudé; Allyson R Salzer; Michael Peper; Amalia L Monroe-Gulick; Brett W Gelino; Joshua D Harsin; Rachel N S Foster; Tyler D Nighbor; Brent A Kaplan; Mikhail N Koffarnus; Stephen T Higgins
Journal:  Exp Clin Psychopharmacol       Date:  2020-01-20       Impact factor: 3.157

10.  Some current dimensions of the behavioral economics of health-related behavior change.

Authors:  Warren K Bickel; Lara Moody; Stephen T Higgins
Journal:  Prev Med       Date:  2016-06-06       Impact factor: 4.018

View more
  2 in total

1.  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

2.  Time Cost and Demand: Implications for Public Policy.

Authors:  Lindsay P Schwartz; Steven R Hursh
Journal:  Perspect Behav Sci       Date:  2022-07-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.