Smoking cessation is associated with a decrease in depressive symptomatology, that is maintained over time. In contrast, relapse is associated with an increase of such symptoms. These findings signify the potential importance of addressing depressive symptomatology in smoking cessation treatment.
IntroductionSubstance use and depression co-occurrence is a frequent phenomenon and an important public health concern. Given the clinical implications and the high prevalence of both disorders, effective interventions are needed.MethodsThe aim of this study is to review Behavioural Activation (BA) intervention effects to improve substance use behaviour and depression. A systematic review was conducted using MEDLINE, EMBASE, and PsycINFO. The Effective Public Health Practice Project Quality Assessment Tool (EPHPP) was used to assess the methodological quality of included studies. Two authors independently screened titles and abstracts, reviewed selected studies, and extracted data.ResultsOf the 7286 studies identified, eight met inclusion criteria. Designs of the studies included six randomized controlled trials (RCTs), and two pre-post design studies. One trial received weak methodological quality, six moderate, and one strong. Three studies addressed smoking behaviour; two targeted opiate dependence; two focused on alcohol/drug dependence; and, one on crystal methamphetamine abuse. Results showed that BA had a positive effect on substance use outcomes in seven of the eight reviewed studies, and improved depression over time in six studies.ConclusionsAlthough studies conducted so far are limited by their heterogeneity and sample sizes, results are promising. There is a need of well controlled and powered studies to establish and to confirm the effectiveness of BA for the treatment of substance use and depression. Future studies should include stronger methodological designs, larger sample sizes, and long-term follow-ups.Trial registrationPROSPERO registration number: CRD42016039412.Electronic supplementary materialThe online version of this article (10.1186/s13011-018-0173-2) contains supplementary material, which is available to authorized users.
Smoking cessation interventions are effective, but they are not easily accessible for all treatment-seeking smokers. Mobile health (mHealth) apps have been used in recent years to overcome some of these limitations. Smoking cessation apps can be used in combination with a face-to-face intervention (FFSC-Apps), or alone as general apps (GSC-Apps). The aims of this review were (1) to examine the effects of FFSC-Apps and GSC-Apps on abstinence, tobacco use, and relapse rates; and (2) to describe their features. A systematic review was conducted following the internationally Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Of the total 6016 studies screened, 24 were included, of which nine used GSC-Apps and 15 FFSC-Apps. Eight studies reported significant differences between conditions in smoking cessation outcomes, with three of them being in favor of the use of apps, and two between different point-assessments. Concerning Apps features, most GSC-Apps included self-tracking and setting a quit plan, whereas most of the FFSC-Apps included self-tracking and carbon monoxide (CO) measures. Smartphone apps for smoking cessation could be promising tools. However, more research with an adequate methodological quality is needed to determine its effect. Nevertheless, smartphone apps’ high availability and attractiveness represent a great opportunity to reach large populations.
Introduction Behavioral Activation is a behavioral-based treatment that has been proposed as suitable for smoking cessation, as it simultaneously addresses reinforcement-related variables and also mood management. The aim of this study was to compare the effects of a cognitive-behavioral smoking cessation treatment with components of behavioral activation (SCBSCT-BA) with a standard cognitive-behavioral treatment (SCBSCT), and a wait-list control group (WL). Method The sample was comprised of 275 adults smokers (61.4% females, mean age = 45.36, SD = 10.96). After baseline assessment sessions, participants were randomized (ratio: 2.2.1.) to SCBSCT-BA, SCBSCT, or WL. Active groups received 8 weekly 1-hour face-to-face group sessions. Biochemically verified smoking abstinence and depressive symptoms were assessed at the end of treatment, and at 3-, 6-, and 12-month follow-ups. Results Significant treatment effects in 7-dayspoint prevalence abstinence rates were found for both active groups at the end of treatment. Abstinence rates at 12-months follow-up were 30% for SCBSCT-BA, and 18% for SCBSCT. Using Multiple Imputation for missing data, regression analysis showed significantly greater ORs for the SCBSCT-BA condition (vs. SCBSCT) at the end of treatment and at 3-months follow-up. At 6-, and 12-months follow-ups, ORs for the SCBSCT-BA condition, although greater, did not reach statistical significance. Multilevel analysis showed that abstinence was related to reductions in depressive symptoms. Conclusions SCBSCT-BA obtained positive results at short and medium term. Participants who quit smoking experienced a significant reduction in depressive symptoms. Findings support the benefit of adding BA to a cognitive-behavioral smoking cessation treatment. Trial registration www.clinicaltrials.gov NCT02844595 .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.