Literature DB >> 28627925

Will delay discounting predict intention to quit smoking?

Liqa N Athamneh1, Jeffrey S Stein1, Warren K Bickel1.   

Abstract

Intention to quit cigarette smoking is significantly associated with making quitting attempts and actual quitting. Delay discounting is significantly associated with smoking initiation and success in quitting. To our knowledge, no studies have investigated the relationship between delay discounting and intention to quit smoking. In 2 separate observational, cross-sectional studies, the current investigation examines the relationship between delay discounting and intention to quit smoking within groups of smokers. Experiment 1 used data collected online and an adjusting-delay discounting task; Experiment 2 used data collected in the laboratory and an adjusting-amount discounting task. A total of 242 participants and 142 participants completed the online and on laboratory experiments, respectively. In both studies, participants with higher intention to quit smoking had significantly lower rates of discounting. These associations between intention to quit smoking and rates of delay discounting further support recent characterizations of delay discounting as a candidate behavioral marker of addiction. Understanding cognitive factors affecting treatment initiation such as intention to change, and the effects of delay discounting on these factors, in addition to the mechanisms by which they influence treatment outcomes might be essential to developing, disseminating, and implementing treatment interventions. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28627925      PMCID: PMC5546984          DOI: 10.1037/pha0000129

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  45 in total

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2.  Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey.

Authors:  A Hyland; R Borland; Q Li; H-H Yong; A McNeill; G T Fong; R J O'Connor; K M Cummings
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3.  Turning k on its head: comments on use of an ED50 in delay discounting research.

Authors:  Jin H Yoon; Stephen T Higgins
Journal:  Drug Alcohol Depend       Date:  2008-02-19       Impact factor: 4.492

Review 4.  The behavioral- and neuro-economic process of temporal discounting: A candidate behavioral marker of addiction.

Authors:  Warren K Bickel; Mikhail N Koffarnus; Lara Moody; A George Wilson
Journal:  Neuropharmacology       Date:  2013-06-24       Impact factor: 5.250

5.  Delay discounting predicts adolescent substance abuse treatment outcome.

Authors:  Catherine Stanger; Stacy R Ryan; Hongyun Fu; Reid D Landes; Bryan A Jones; Warren K Bickel; Alan J Budney
Journal:  Exp Clin Psychopharmacol       Date:  2011-12-19       Impact factor: 3.157

Review 6.  The behavioral economics of substance use disorders: reinforcement pathologies and their repair.

Authors:  Warren K Bickel; Matthew W Johnson; Mikhail N Koffarnus; James MacKillop; James G Murphy
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7.  Delay discounting, locus of control, and cognitive impulsiveness independently predict tobacco dependence treatment outcomes in a highly dependent, lower socioeconomic group of smokers.

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8.  Using crowdsourcing to examine relations between delay and probability discounting.

Authors:  David P Jarmolowicz; Warren K Bickel; Anne E Carter; Christopher T Franck; E Terry Mueller
Journal:  Behav Processes       Date:  2012-09-13       Impact factor: 1.777

9.  Impulsivity and history of drug dependence.

Authors:  T J Allen; F G Moeller; H M Rhoades; D R Cherek
Journal:  Drug Alcohol Depend       Date:  1998-04-01       Impact factor: 4.492

10.  Cooperation and contagion in web-based, networked public goods experiments.

Authors:  Siddharth Suri; Duncan J Watts
Journal:  PLoS One       Date:  2011-03-11       Impact factor: 3.240

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  11 in total

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2.  Smoking policies in the home have less influence on cigarettes per day and nicotine dependence level among African American than White smokers: A cross-sectional analysis.

Authors:  Lesia M Ruglass; James C Root; Naomi Dambreville; Alina Shevorykin; Noshin Haque; Vicki Sun; Christine E Sheffer; Robert D Melara
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3.  What Is Addiction? How Can Animal and Human Research Be Used to Advance Research, Diagnosis, and Treatment of Alcohol and Other Substance Use Disorders?

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5.  No differences in delay discounting between smokers with and without HIV.

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6.  The phenotype of recovery V: Does delay discounting predict the perceived risk of relapse among individuals in recovery from alcohol and drug use disorders.

Authors:  Jamie K Turner; Liqa N Athamneh; Julia C Basso; Warren K Bickel
Journal:  Alcohol Clin Exp Res       Date:  2021-04-05       Impact factor: 3.455

7.  Amygdala Structural Connectivity Is Associated With Impulsive Choice and Difficulty Quitting Smoking.

Authors:  Ausaf A Bari; Hiro Sparks; Simon Levinson; Bayard Wilson; Edythe D London; Jean-Philippe Langevin; Nader Pouratian
Journal:  Front Behav Neurosci       Date:  2020-07-03       Impact factor: 3.558

8.  Choice Bundling Increases Valuation of Delayed Losses More Than Gains in Cigarette Smokers.

Authors:  Jeffrey S Stein; Jeremiah M Brown; Allison N Tegge; Roberta Freitas-Lemos; Mikhail N Koffarnus; Warren K Bickel; Gregory J Madden
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9.  Temporal discounting and smoking cessation: choice consistency predicts nicotine abstinence in treatment-seeking smokers.

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10.  The Predictive Utility of Valuing the Future for Smoking Cessation: Findings from the ITC 4 Country Surveys.

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