Behavioral economic cigarette demand among individuals who smoke with and without obesity.

2021 ◽  
Vol 40 (10) ◽  
pp. 666-673
Author(s):  
Warren K. Bickel ◽  
Roberta Freitas-Lemos ◽  
Allison N. Tegge ◽  
Devin C. Tomlinson ◽  
Leonard H. Epstein
Addiction ◽  
2012 ◽  
Vol 107 (12) ◽  
pp. 2191-2200 ◽  
Author(s):  
James MacKillop ◽  
Lauren R. Few ◽  
James G. Murphy ◽  
Lauren M. Wier ◽  
John Acker ◽  
...  

Addiction ◽  
2019 ◽  
Vol 114 (S1) ◽  
pp. 123-133 ◽  
Author(s):  
Bryan W. Heckman ◽  
Geoffrey T. Fong ◽  
Ron Borland ◽  
Sara Hitchman ◽  
Richard J. O’Connor ◽  
...  

2012 ◽  
Vol 37 (11) ◽  
pp. 1257-1263 ◽  
Author(s):  
L. Cinnamon Bidwell ◽  
James MacKillop ◽  
James G. Murphy ◽  
Jennifer W. Tidey ◽  
Suzanne M. Colby

2020 ◽  
Vol 28 (6) ◽  
pp. 688-705 ◽  
Author(s):  
Derek D. Reed ◽  
Gideon P. Naudé ◽  
Allyson R. Salzer ◽  
Michael Peper ◽  
Amalia L. Monroe-Gulick ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Yong Cui ◽  
Paulina Linares Abrego ◽  
Jin Ho Yoon ◽  
Maher Karam-Hage ◽  
Paul M. Cinciripini ◽  
...  

Background and Objectives: Behavioral economic purchase tasks are widely used to assess drug demand in substance use disorder research. Comorbid alcohol use is common among cigarette smokers and associated with greater difficulty in quitting smoking. However, demand for alcohol and cigarettes in this population has not been fully characterized. The present study addressed this gap by examining alcohol and cigarette demand among treatment-seeking smokers with alcohol use disorder (AUD).Methods: Alcohol and cigarette demand was assessed among 99 smokers with AUD. We conducted Principal Component Analysis (PCA) and correlational analyses on the demand indices.Results: Participants showed higher demand for alcohol than for cigarettes, as evidenced lower elasticity (resistance to increasing price) and higher Omax (maximum response output for drug). PCA revealed a two-factor structure (Persistence and Amplitude) for both alcohol and cigarette demand indices. Cigarette-related demand indices were positively correlated with nicotine dependence, but alcohol-related demand indices were not associated with alcohol dependence, suggesting dissociation between alcohol demand and use behaviors.Discussion and Conclusions: Our results suggest that smokers with AUD were more resistant to price elevations in relation to reducing alcohol consumption as compared to cigarette consumption, suggesting preferential demand for alcohol over cigarettes. However, it is unclear how acute substance exposure/withdrawal impacts the demand indices.Scientific Significance: Potentially differential alcohol and cigarette demands among smokers with AUD should be considered in the concurrent treatment of smoking and alcohol.


Author(s):  
ReJoyce Green ◽  
James MacKillop ◽  
Emily E Hartwell ◽  
Aaron C Lim ◽  
Wave-Ananda Baskerville ◽  
...  

Abstract Introduction Previous studies have highlighted a strong bidirectional relationship between cigarette and alcohol consumption. To advance our understanding of this relationship the present study uses a behavioral economic approach in a community sample (N = 383) of nontreatment seeking heavy drinking smokers. Aims and Methods The aims were to examine same-substance and cross-substance relationships between alcohol and cigarette use, and latent factors of demand. A community sample of nontreatment seeking heavy drinking smokers completed an in-person assessment battery including measures of alcohol and tobacco use as well as the Cigarette Purchase Task and the Alcohol Purchase Task. Latent factors of demand were derived from these hypothetical purchase tasks. Results Results revealed a positive correlation between paired alcohol and cigarette demand indices (eg, correlation between alcohol intensity and cigarette intensity) (rs = 0.18–0.46, p ≤ .003). Over and above alcohol factors, cigarette use variables (eg, Fagerström Test for Nicotine Dependence and cigarettes per smoking day) significantly predicted an additional 4.5% (p < .01) of the variance in Persistence values but not Amplitude values for alcohol. Over and above cigarette factors, alcohol use variables predicted cigarette Persistence values (ΔR2 = .013, p = .05), however, did not predict Amplitude values. Conclusions These results advance our understanding of the overlap between cigarette and alcohol by demonstrating that involvement with one substance was associated with demand for the other substance. This asymmetric profile—from smoking to alcohol demand, but not vice versa—suggests that it is not simply tapping into a generally higher reward sensitivity and warrants further investigation. Implications To our knowledge, no study to date has examined alcohol and cigarette demand, via hypothetical purchase tasks, in a clinical sample of heavy drinking smokers. This study demonstrates that behavioral economic indices may be sensitive to cross-substance relationships and specifically that such relationships are asymmetrically stronger for smoking variables affecting alcohol demand, not the other way around.


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