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Article

Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?

by
Carmela Martínez-Vispo
1,*,
Ana López-Durán
2,
Carmen Senra
2 and
Elisardo Becoña
2
1
Smoking Cessation and Addictive Disorders Unit, Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
2
Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(12), 4317; https://doi.org/10.3390/ijerph17124317
Submission received: 15 May 2020 / Revised: 10 June 2020 / Accepted: 12 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Smoking Prevention and Tobacco Control)

Abstract

Relapse remains a frequent and complex phenomenon that is not yet well understood. An under-researched area of study that may provide relevant information concerns the assessment of specific post-treatment variables, rather than the composite measures commonly used to predict smoking relapse. The current study sought to examine the effects of post-treatment smoking-related variables, including withdrawal symptomatology, abstinence self-efficacy, and smoking urgency in negative-affect situations and smoking relapse at the 3 month follow-up. The sample comprised 130 participants who achieved abstinence for at least 24 h through a cognitive-behavioral smoking cessation treatment. Regression analysis was conducted for both composite measures and specific subscales and items. Data showed that composite measures of tobacco withdrawal, self-efficacy, and smoking urgency in negative-affect situations were not significant predictors of smoking relapse. However, the analysis including subscales, and specific items showed that lower self-efficacy in negative-affect-related situations (OR = 1.36) and three withdrawal symptoms—irritability/frustration/anger (OR = 2.99), restlessness/impatience (OR = 1.87), and craving (OR = 2.31)—were significant predictors of relapse. These findings offer new insights into the role of different smoking-related post-treatment variables in short-term relapse. Considering and specifically targeting these variables after achieving abstinence may potentially contribute to reducing smoking relapse.
Keywords: relapse; smoking cessation; cognitive-behavioral treatment; post-treatment variables relapse; smoking cessation; cognitive-behavioral treatment; post-treatment variables

Share and Cite

MDPI and ACS Style

Martínez-Vispo, C.; López-Durán, A.; Senra, C.; Becoña, E. Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved? Int. J. Environ. Res. Public Health 2020, 17, 4317. https://doi.org/10.3390/ijerph17124317

AMA Style

Martínez-Vispo C, López-Durán A, Senra C, Becoña E. Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved? International Journal of Environmental Research and Public Health. 2020; 17(12):4317. https://doi.org/10.3390/ijerph17124317

Chicago/Turabian Style

Martínez-Vispo, Carmela, Ana López-Durán, Carmen Senra, and Elisardo Becoña. 2020. "Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?" International Journal of Environmental Research and Public Health 17, no. 12: 4317. https://doi.org/10.3390/ijerph17124317

APA Style

Martínez-Vispo, C., López-Durán, A., Senra, C., & Becoña, E. (2020). Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved? International Journal of Environmental Research and Public Health, 17(12), 4317. https://doi.org/10.3390/ijerph17124317

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