scholarly journals y-QUIT: Smoking Prevalence, Engagement, and Effectiveness of an Individualized Smoking Cessation Intervention in Youth With Severe Mental Illness

2018 ◽  
Vol 9 ◽  
Author(s):  
Jackie Curtis ◽  
Charry Zhang ◽  
Bernadette McGuigan ◽  
Esther Pavel-Wood ◽  
Rachel Morell ◽  
...  
2021 ◽  
Vol 14 ◽  
pp. 1179173X2110659
Author(s):  
Heather Leutwyler ◽  
Erin Hubbard

Background The high rates of smoking in adults with serious mental illness (SMI) increases risk for COVID-19 infection. The purpose of this paper is to present the results of a smoking cessation intervention that was adapted to be offered by phone during a Shelter in Place (SIP) period in San Francisco, California, at the beginning of the COVID-19 pandemic. Methods During the SIP, we offered counseling sessions by phone to five participants. At the end of each session, we assessed readiness to quit, tobacco cessation or reduction, and inquired about the impact of the shelter in place on smoking habits and mental health. Grounded theory guided data collection and analysis. Results The categories that emerged around barriers and facilitators for smoking cessation were COVID-19–related stressors, having purpose, structure and feelings of connections, and the importance of quitting aides for smoking cessation. Conclusion Offering telephone based smoking cessation counseling to adults with SMI while they shelter in place may improve their readiness to quit.


2019 ◽  
pp. 1-3 ◽  
Author(s):  
Simon Gilbody ◽  
Emily Peckham ◽  
Della Bailey ◽  
Catherine Arundel ◽  
Paul Heron ◽  
...  

Summary Smoking contributes to health inequalities for people with severe mental illness (SMI). Although smoking cessation interventions are effective in the short term, there are few long-term trial-based estimates of abstinence. The SCIMITAR trials programme includes the largest trial to date of a smoking cessation intervention for people with SMI, but this was underpowered to detect anticipated long-term quit rates. By pooling pilot and full-trial data we found that quit rates were maintained at 12 months (OR = 1.67, 95% CI 1.02–2.73, P = 0.04). Policymakers can now be confident that bespoke smoking cessation interventions produce successful short- and long-term quitting.


2019 ◽  
Author(s):  
Alla Machulska ◽  
Kristian Kleinke ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
...  

Abstract Background: Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of Cognitive Bias Modification (CBM) approaches. Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple lab-training sessions. Here, we present a protocol for a randomized control design to improve CBM training efficiency and facilitate access to the training by providing mobile phone-based training sessions at home to current smokers motivated to quit smoking. Methods: Participants (n = 100) are current smokers who smoke at least 6 cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief behavioral smoking cessation intervention (TAU) and are randomly assigned either to an experimental (TAU + training) or a control group. Participants in the experimental condition are given access to a training app aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app-training outside the laboratory context on a daily basis for 14 consecutive days. Participants in the control group do not receive the training. Primary outcome measures are changes in smoking-related approach biases and reductions in daily nicotine consumption as assessed at baseline, post-training and at a six-week follow-up. Secondary outcome measures include approach biases for alternative stimuli or smoking stimuli to which participants were not exposed during training, attentional and association biases, biochemical outcomes, and self-reported smoking behavior, also measured at three different time points (baseline, post-training, follow-up). After completion of the study, smokers in the control condition will receive access to the training app. Discussion: This RCT is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimisation and advancement of CBM treatment for addiction. Trial registration: Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771 Key words: Approach Bias, Cogitive Bias Modification, cigarette smoking, nicotine addiction, Randomized Control Trial, smartphone apps


2019 ◽  
Author(s):  
Alla Machulska ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
Katharina Jahn ◽  
...  

Abstract Background: Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of Cognitive Bias Modification (CBM) approaches. Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple lab-training sessions. Here, we present a protocol for a randomized waitlist-control design to improve CBM training efficiency and facilitate access to the training by providing mobile phone-based training sessions at home to current smokers motivated to quit smoking. Methods/Design: Participants (n = 100) are current smokers who smoke at least 6 cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief smoking cessation intervention (TAU) and are randomly assigned either to a training or a waitlist-control group. Participants in the training condition are given access to a training app aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app-training outside the laboratory context on a daily basis for 14 consecutive days. Approach, attentional and association biases, biochemical outcomes, and self-reported smoking behavior will be measured at baseline, directly after training, and at a 4-week follow-up. After completition of the study, smokers in the waitlist-control condition will receive access to the training app. Discussion: This RCT is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimisation and advancement of CBM treatment for addiction. Trial Registration: Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771


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