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The protective role of emotional intelligence in smoking relapse during a 12-month follow-up smoking cessation intervention.

ABSTRACT: BACKGROUND:Previous literature has shown the relationship between emotional intelligence (EI) and smoking. However, the mechanisms underlying the role of EI in smoking behaviour are still unclear. The aim of the present study was to analyse how EI abilities protect against relapse in a 12-month smoking cessation program. METHODS:One hundred and seventy-three volunteer smokers were enrolled in a well-established smoking cessation program, accompanied by a 12-month follow-up, through the Spanish Association Against Cancer. Moderation and moderated mediation analyses were conducted to explore the influence of EI abilities on the effect of stress reactivity and nicotine dependence on the likelihood of relapse. RESULTS:Emotional repair ability moderated the effect of stress reactivity on relapse. Higher levels of stress reactivity were associated with a higher likelihood of relapse, but only in those individuals with lower emotional repair abilities. In addition, the moderated mediation analyses revealed that emotional clarity and emotional repair abilities moderated the indirect effect of nicotine dependence on smoking relapse through its influence on stress reactivity. CONCLUSIONS:Emotional management is a central concept in explaining smoking behaviour. Our findings suggest that the inclusion of EI training could be particularly useful for improving current smoking cessation programs. A good ability to manage emotions allows smokers to effectively apply psychological coping strategies to deal with stressful situations, thus protecting against relapse.

SUBMITTER: Megias-Robles A

PROVIDER: S-EPMC7282659 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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The protective role of emotional intelligence in smoking relapse during a 12-month follow-up smoking cessation intervention.

Megías-Robles Alberto A Perea-Baena José Manuel JM Fernández-Berrocal Pablo P

PloS one 20200609 6

<h4>Background</h4>Previous literature has shown the relationship between emotional intelligence (EI) and smoking. However, the mechanisms underlying the role of EI in smoking behaviour are still unclear. The aim of the present study was to analyse how EI abilities protect against relapse in a 12-month smoking cessation program.<h4>Methods</h4>One hundred and seventy-three volunteer smokers were enrolled in a well-established smoking cessation program, accompanied by a 12-month follow-up, throug ...[more]

PMID: 32516326

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Project description:BackgroundLittle is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes.ObjectiveIn the context of a randomized trial comparing 2 smartphone apps for smoking cessation, this study aimed to determine distinct groups of smartphone app log-in trajectories over a 6-month period, their association with smoking cessation outcomes at 12 months, and baseline user characteristics that predict data-driven trajectory group membership.MethodsFunctional clustering of 182 consecutive days of smoothed log-in data from both arms of a large (N=2415) randomized trial of 2 smartphone apps for smoking cessation (iCanQuit and QuitGuide) was used to identify distinct trajectory groups. Logistic regression was used to determine the association of group membership with the primary outcome of 30-day point prevalence of smoking abstinence at 12 months. Finally, the baseline characteristics associated with group membership were examined using logistic and multinomial logistic regression. The analyses were conducted separately for each app.ResultsFor iCanQuit, participants were clustered into 3 groups: "1-week users" (610/1069, 57.06%), "4-week users" (303/1069, 28.34%), and "26-week users" (156/1069, 14.59%). For smoking cessation rates at the 12-month follow-up, compared with 1-week users, 4-week users had 50% higher odds of cessation (30% vs 23%; odds ratio [OR] 1.50, 95% CI 1.05-2.14; P=.03), whereas 26-week users had 397% higher odds (56% vs 23%; OR 4.97, 95% CI 3.31-7.52; P<.001). For QuitGuide, participants were clustered into 2 groups: "1-week users" (695/1064, 65.32%) and "3-week users" (369/1064, 34.68%). The difference in the odds of being abstinent at 12 months for 3-week users versus 1-week users was minimal (23% vs 21%; OR 1.16, 95% CI 0.84-1.62; P=.37). Different baseline characteristics predicted the trajectory group membership for each app.ConclusionsPatterns of 1-, 3-, and 4-week smartphone app use for smoking cessation may be common in how people engage in digital health interventions. There were significantly higher odds of quitting smoking among 4-week users and especially among 26-week users of the iCanQuit app. To improve study outcomes, strategies for detecting users who disengage early from these interventions (1-week users) and proactively offering them a more intensive intervention could be fruitful.

Project description:INTRODUCTION:Almost half of smoking quit attempts are "spontaneous" (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association. METHODS:Data were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics. RESULTS:Spontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32-0.98, p < .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p < .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46). CONCLUSIONS:The increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first. IMPLICATIONS:The apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

Project description:IntroductionAlmost half of smoking quit attempts are "spontaneous" (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association.MethodsData were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics.ResultsSpontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32-0.98, p < .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p < .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46).ConclusionsThe increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first.ImplicationsThe apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

Project description:IntroductionWhile tobacco Quitlines are effective in the promotion of smoking cessation, the majority of callers who wish to quit still fail to do so. The aim of this study was to determine if 12-month tobacco Quitline smoking cessation rates could be improved with re-engagement of callers whose first Quitline treatment failed to establish abstinence.MethodsIn an adaptive trial, 614 adult smokers, who were active duty, retired, and family of military personnel with TRICARE insurance who called a tobacco Quitline, received a previously evaluated and efficacious four-session tobacco cessation intervention with nicotine replacement therapy (NRT). At the scheduled follow-up at 3 months, callers who had not yet achieved abstinence were offered the opportunity to re-engage. This resulted in three caller groups: 1) those who were abstinent, 2) those who were still smoking but willing to re-engage with an additional Quitline treatment; and 3) individuals who were still smoking but declined re-engagement. A propensity score-adjusted logistic regression model was generated to compare past-7-day point prevalence abstinence at 12 months post Quitline consultation.ResultsUsing a propensity score adjusted logistic regression model, comparison of the three groups resulted in higher odds of past-7-day point prevalence abstinence at follow-up at 12 months for those who were abstinent at 3 months compared to those who re-engaged (OR=9.6; 95% CI: 5.2-17.8; Bonferroni adjusted p<0.0001), and relative to those who declined re-engagement (OR=13.4; 95% CI: 6.8-26.3; Bonferroni adjusted p<0.0001). There was no statistically significant difference in smoking abstinence between smokers at 3 months who re-engaged and those who declined re-engagement (OR=1.39; 95% CI: 0.68-2.85).ConclusionsTobacco Quitlines seeking to select a single initiative by which to maximize abstinence at follow-up at 12 months may benefit from diverting additional resources from the re-engagement of callers whose initial quit attempt failed, toward changes which increase callers' probability of success within the first 3 months of treatment.Trial registrationThis study is registered at clinicaltrials.gov (NCT02201810).

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The protective role of emotional intelligence in smoking relapse during a 12-month follow-up smoking cessation intervention.

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The protective role of emotional intelligence in smoking relapse during a 12-month follow-up smoking cessation intervention.

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