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

Author

Listed:
  • Carmela Martínez-Vispo

    (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)

  • Ana López-Durán

    (Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain)

  • Carmen Senra

    (Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain)

  • Elisardo Becoña

    (Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain)

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.

Suggested Citation

  • Carmela Martínez-Vispo & Ana López-Durán & Carmen Senra & Elisardo Becoña, 2020. "Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?," IJERPH, MDPI, vol. 17(12), pages 1-9, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4317-:d:372515
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    References listed on IDEAS

    as
    1. Carmela Martínez-Vispo & Rubén Rodríguez-Cano & Ana López-Durán & Carmen Senra & Elena Fernández del Río & Elisardo Becoña, 2019. "Cognitive-behavioral treatment with behavioral activation for smoking cessation: Randomized controlled trial," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-20, April.
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