Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Psicoloxía Clínica e Psicobioloxía | gl |
| dc.contributor.author | Martínez Vispo, Carmela | |
| dc.contributor.author | López Durán, Ana | |
| dc.contributor.author | Senra Rivera, María del Carmen | |
| dc.contributor.author | Becoña Iglesias, Elisardo | |
| dc.date.accessioned | 2020-11-26T14:04:00Z | |
| dc.date.available | 2020-11-26T14:04:00Z | |
| dc.date.issued | 2020 | |
| dc.description.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 | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | 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) | gl |
| dc.identifier.citation | 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 | gl |
| dc.identifier.doi | 10.3390/ijerph17124317 | |
| dc.identifier.essn | 1660-4601 | |
| dc.identifier.uri | http://hdl.handle.net/10347/23834 | |
| dc.language.iso | eng | gl |
| dc.publisher | MDPI | gl |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PSI2015-66755-R/ES/EVALUACION DE UN TRATAMIENTO PSICOLOGICO PARA DEJAR DE FUMAR Y LA MEJORA DEL ESTADO DE ANIMO DEPRESIVO | |
| dc.relation.publisherversion | https://doi.org/10.3390/ijerph17124317 | gl |
| dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) | gl |
| dc.rights | Atribución 4.0 Internacional | |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Relapse | gl |
| dc.subject | Smoking cessation | gl |
| dc.subject | Cognitive-behavioral treatment | gl |
| dc.subject | Post-treatment variables | gl |
| dc.title | Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved? | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | 624fb691-a19d-4e1d-885f-0a96b8f03abf | |
| relation.isAuthorOfPublication.latestForDiscovery | 5900382f-58d9-4e18-a0c0-014247e0c312 |
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