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Effects of Delay Discounting and Other Predictors on Smoking Relapse

Published online by Cambridge University Press:  19 March 2019

Alba González-Roz ,
Roberto Secades-Villa ,
Irene Pericot-Valverde ,
Sara Weidberg  and
Fernando Alonso-Pérez
Alba González-Roz*
Affiliation:
Universidad de Oviedo (Spain)
Roberto Secades-Villa
Affiliation:
Universidad de Oviedo (Spain)
Irene Pericot-Valverde
Affiliation:
Clemson University (USA)
Sara Weidberg
Affiliation:
Universidad de Oviedo (Spain)
Fernando Alonso-Pérez
Affiliation:
Universidad de Oviedo (Spain)
*
*Correspondence concerning this article should be addressed to Alba González-Roz. Universidad de Oviedo. Departamento de Psicología. Feijoo s/n. 33003, Oviedo (Spain). E-mail: albagroz@cop.es
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Abstract

Despite the substantial decrease in the prevalence of tobacco smoking and the availability of effective smoking cessation treatments, smoking relapse after formal treatments remains extremely high. Evidence regarding clinical predictors of relapse after quitting is essential to promote long-term abstinence among those who successfully quit. This study aimed to explore whether baseline delay discounting (DD) rates and other sociodemographic, psychological, and smoking-related variables predicted relapse to smoking at six-month follow-up. Participants were 188 adult smokers (mean age = 42.9, SD = 12.9; 64.4% females) who received one of three treatment conditions: 6-weeks of cognitive–behavioral treatment (CBT) alone; or combined with contingency management (CBT + CM); or combined with cue exposure treatment (CBT+CET). Smoking status was biochemically verified. Logistic regression was conducted to examine prospective predictors of smoking relapse at six months after an initial period of abstinence. Greater DD rates (OR: 0.18; 95% CI [0.03, 0.93]), being younger (OR: 0.96; 95% CI [0.94, 0.99]), high nicotine dependence (OR: 1.34; 95% CI [1.13, 1.60]), and a higher number of previous quit attempts (OR: 4.47; 95% CI [1.14, 17.44]) increased the likelihood of smoking relapse at six-month follow-up. Besides sociodemographic and smoking-related characteristics, greater DD predisposes successful quitters to relapse back to smoking. These results stress the relevance of incorporating specific treatment components for reducing impulsivity.

Keywords

delay discountingimpulsivityrelapsesmoking
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 22 , 2019 , E9
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2019 

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Footnotes

This research was supported by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund: Grants PSI2011-22804/ PSI2008-05938, and by the Predoctoral Grant: BES-2016-076663, from the same institution.

How to cite this article:

González-Roz, A., Secades-Villa, R., Pericot-Valverde, I., Weidberg, S., & Alonso-Pérez, F. (2019). Effects of delay discounting and other predictors on smoking relapse. The Spanish Journal of Psychology, 22. e9. Doi:10.1017/sjp.2019.11

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