RT Journal Article
T1 Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?
A1 Martínez Vispo, Carmela
A1 López Durán, Ana
A1 Senra Rivera, María del Carmen
A1 Becoña Iglesias, Elisardo
K1 Relapse
K1 Smoking cessation
K1 Cognitive-behavioral treatment
K1 Post-treatment variables
AB 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
PB MDPI
YR 2020
FD 2020
LK http://hdl.handle.net/10347/23834
UL http://hdl.handle.net/10347/23834
LA eng
NO 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
NO This research was supported by the Spanish Ministry of Economy and Competitiveness (Project reference: PSI2015–66755-R) and co-financed by FEDER (European Regional Development Fund; pluri-annual plan 2014–2020)
DS Minerva
RD 24 abr 2026