Introduction: Smoking is one of the most important modifiable risk factors for excess morbidity and mortality in adults with serious mental illness (SMI). Many smokers with SMI are reportedly motivated to quit, however success rates among these smokers remain low and evidence-based treatment targeting this vulnerable group is limited. The purpose of this paper is to report the results of a qualitative inquiry of participants. Methods: We conducted a pilot two-arm randomized controlled trial (RCT) targeting adults with SMI. Our smoking cessation intervention included: (a) group-based physical activity (PA) game intervention (50 minutes, 3X/week for 12 weeks), (b) pharmacotherapy (bupropion or nicotine replacement therapy), and (c) smoking cessation counseling. Upon completion of the program, participants in the active and control groups completed a qualitative semi-structured interview in order to determine how the program impacted their smoking cessation. Grounded Theory methodology guided our data collection and analysis. Results: Twenty participants completed an interview. Participants described how the “whole package” of the 3 components of the intervention were critical to their smoking cessation process. The group-based program provided the structure, resources, and encouragement needed to start the process of quitting. Conclusion: Adults with SMI need support, resources, and engaging activities as they begin quitting and practice the skills needed to quit.

Background: Combined behavioral- and pharmacological-based tobacco cessation interventions are effective for adults with serious mental illness; yet, they continue to smoke at alarming rates.Materials and Methods: A pilot two-arm randomized controlled trial of the program consisted of 50 minutes of game-based groups 3x/week, for 12 weeks alongside counseling and pharmacotherapy. The intervention group engaged in game-based group physical activity (PA), while the control group engaged in sedentary games.Results: Multilevel regression analyses were used to examine the primary aims. Mean number of cigarettes smoked per week (cig/wk) for the sample (n = 48) at enrollment was 56.3 cigarettes. The linear change was significant at 2.9 fewer cig/wk. The average psychiatric symptom score at enrollment for the PA group was 41.5 points with a significant predicted linear decrease in scores.Conclusion: Both study groups showed a significant reduction in cig/wk. The combination of counseling and pharmacotherapy offered in groups may have aided with cessation and cigarette reduction while also providing a benefit to mental health.

Background Sexual and gender minority (SGM) individuals experience minority stress, especially when they lack social support. SGM young adults may turn to social media in search of a supportive community; however, social media use can become problematic when it interferes with functioning. Problematic social media use may be associated with experiences of minority stress among SGM young adults. Objective The objective of this study is to examine the associations among social media use, SGM-related internalized stigma, emotional social support, and depressive symptoms in SGM young adults. Methods Participants were SGM young adults who were regular (≥4 days per week) social media users (N=302) and had enrolled in Facebook smoking cessation interventions. As part of a baseline assessment, participants self-reported problematic social media use (characterized by salience, tolerance, and withdrawal-like experiences; adapted from the Facebook Addiction Scale), hours of social media use per week, internalized SGM stigma, perceived emotional social support, and depressive symptoms. Pearson correlations tested bivariate associations among problematic social media use, hours of social media use, internalized SGM stigma, perceived emotional social support, and depressive symptoms. Multiple linear regression examined the associations between the aforementioned variables and problematic social media use and was adjusted for gender identity. Results A total of 302 SGM young adults were included in the analyses (assigned female at birth: 218/302, 72.2%; non-Hispanic White: 188/302, 62.3%; age: mean 21.9 years, SD 2.2 years). The sexual identity composition of the sample was 59.3% (179/302) bisexual and/or pansexual, 17.2% (52/302) gay, 16.9% (51/302) lesbian, and 6.6% (20/302) other. The gender identity composition of the sample was 61.3% (185/302) cisgender; 24.2% (73/302) genderqueer, fluid, nonbinary, or other; and 14.6% (44/302) transgender. Problematic social media use averaged 2.53 (SD 0.94) on a 5-point scale, with a median of 17 hours of social media use per week (approximately 2.5 h per day). Participants with greater problematic social media use had greater internalized SGM stigma (r=0.22; P<.001) and depressive symptoms (r=0.22; P<.001) and lower perceived emotional social support (r=−0.15; P=.007). Greater internalized SGM stigma remained was significantly associated with greater problematic social media use after accounting for the time spent on social media and other correlates (P<.001). In addition, participants with greater depressive symptoms had marginally greater problematic social media use (P=.05). In sum, signs of problematic social media use were more likely to occur among SGM young adults who had internalized SGM stigma and depressive symptoms. Conclusions Taken together, problematic social media use among SGM young adults was associated with negative psychological experiences, including internalized stigma, low social support, and depressive symptoms. SGM young adults experiencing minority stress may be at risk for problematic social media use.

Introduction: This trial investigated whether a Facebook smoking cessation intervention culturally tailored to young sexual and gender minority (SGM) smokers (versus non-tailored) would increase smoking abstinence. Methods: Participants were 165 SGM young adult US smokers (age 18-25) recruited from Facebook in April 2018 and randomized to an SGM-tailored (POP; N = 84) or non-tailored (TSP-SGM; N = 81) intervention. Interventions delivered weekly live counseling sessions and 90 daily Facebook posts to participants in Facebook groups. Primary analyses compared POP and TSP-SGM on biochemically verified smoking abstinence (yes/no; primary outcome), self-reported 7-day point prevalence abstinence (yes/no), reduction in cigarettes per week by 50+% from baseline (yes/no), making a quit attempt during treatment (yes/no), and stage of change (precontemplation/contemplation vs. preparation/action). Supplemental analyses compared POP to two historical control groups. Results: POP participants were more likely than TSP-SGM participants to report smoking abstinence at 3 (23.8% vs. 12.3%; OR = 2.50; p =.03) and 6 months (34.5% vs. 12.3%; OR = 4.06; p <.001) and reduction in smoking at 3 months (52.4% vs. 39.5%; OR = 2.11; p =.03). Biochemically verified smoking abstinence did not significantly differ between POP and TSP-SGM at 3 (OR = 2.00; p =.33) or 6 months (OR = 3.12; p =.08), potentially due to challenges with remote biochemical verification. In supplemental analyses, POP participants were more likely to report abstinence at 3 (OR = 6.82, p =.01) and 6 (OR = 2.75, p =.03) months and reduced smoking at 3 months (OR = 2.72, p =.01) than participants who received a referral to Smokefree.gov. Conclusions: This pilot study provides preliminary support for the effectiveness of a Facebook smoking cessation intervention tailored to SGM young adults. Implications: SGM individuals have disproportionately high smoking prevalence. It is unclear whether smoking cessation interventions culturally tailored to the SGM community are more effective than non-tailored interventions. This pilot trial found preliminary evidence that an SGM-tailored Facebook smoking cessation intervention increased reported abstinence from smoking, compared to a non-tailored intervention.

Introduction: Sexual and gender minority (SGM) young adults have higher smoking prevalence than their nonSGM peers. Less is known about differences in smoking characteristics within the SGM community. Methods: Participants were SGM young adult smokers age 18-25 (N = 165, M age = 21.8) enrolled in a clinical trial of the Put It Out Project, a Facebook smoking cessation intervention for SGM young adults. Analyses tested differences between 1) sexual orientation groups, and 2) gender identity groups, on the following smoking characteristics: cigarettes/day, daily smoker (yes/no), social smoker (yes/no), years of smoking, number of close friends who smoke (out of 5), age of initiation, age began smoking regularly, time to first cigarette (30 min or less/ > 30 min), lifetime quit attempts, past-year quit attempts, and stage of change for quitting smoking (precontemplation, contemplation, preparation). Results: Participants were 56% bi/pansexual, 18% gay, 18% lesbian, 8% other (e.g., asexual, queer). The gender identity of the sample was 52% cisgender, 18% transgender, 30% gender non-binary. Lesbian women began smoking at an older age (M = 18.0, SD = 2.0) than "other" sexual orientation participants (M = 15.7, SD = 2.2), p <.05. Transgender participants smoked the most cigarettes per day (M = 11.3, SD = 6.7), followed by cis gender (M = 8.1, SD = 5.6), then non-binary (M = 5.7, SD = 3.5) participants (p <.001; pairwise comparisons p's < 0.05). No other constructs differed by sexual orientation or gender. Conclusions: Smoking characteristics were mostly similar across subgroups of young adult SGM smokers; however, transgender individuals were heavier smokers.

Introduction:Patients receiving medication assisted therapy (MAT) for opioid use disorder have high cigarette smoking rates. Cigarette smoking interventions have had limited success. We evaluated an intervention to increase cigarette abstinence rates in patients receiving buprenorphine-assisted therapy.Methods:Cigarette smokers (N = 175; 78% male; 69% Caucasian; 20% Hispanic), recruited from a buprenorphine clinic were randomly assigned to either an extended innovative system intervention (E-ISI) or to Standard Treatment Control (STC). The E-ISI combined motivational intervention with extended treatment (long-term nicotine replacement therapy , varenicline, and extended cognitive behavioral therapy). STC received written information about quit-lines, medication, and resources. Assessments were held at baseline and 3, 6, 12, and 18 months. Seven-day biochemically verified point-prevalence cigarette abstinence was the primary outcome measure.Results:Fifty-four percent of E-ISI participants entered the extended treatment intervention; E-ISI and STC differed at 3 months on abstinence status but not at months 6, 12, and 18. E-ISI participants were more likely to attempt to quit, to have a goal of complete abstinence, and to be in a more advanced stage of change than STC participants. A higher number of cigarettes smoked and the use of cannabis in the previous 30 days predicted continued smoking.Conclusions:The E-ISI was successful in increasing motivation to quit smoking but did not result in long-term abstinence. The failure of treatments that have been efficacious in the general population to produce abstinence in patients receiving MAT of opioid use disorder suggests that harm reduction and other innovative interventions should be explored.Implications:This study demonstrates that an intervention combining motivational interviewing with an extended treatment protocol can increase cigarette quit attempts, enhance cigarette abstinence goals, and further movement through stages of change about quitting smoking in patients receiving MAT for opioid use disorder who smoke cigarettes. The intervention did not increase abstinence rates over those observed in a standard treatment control, however. The latter finding supports those of earlier investigators who also failed to find efficacy for smoking cessation in this population and who also used interventions effective in the general population. This pattern of findings suggests that patients with opioid use disorder can be motivated to change smoking behavior, but alternative and innovative approaches to cigarette smoking treatment should be studied.

Purpose: LGBTQ+ young adults are disproportionately affected by tobacco use and associated health conditions. A culturally tailored intervention may improve smoking cessation with this priority population. We conducted focus groups to inform development of a social media intervention to help LGBTQ+ young adults quit smoking. Methods: We conducted two focus groups with LGBTQ+ young adults (N = 27) throughout the United States in a Facebook secret group online setting. An online survey characterized tobacco and other substance use. Questions posed to focus group participants addressed patterns and contexts of smoking, LGBTQ+ identity, and barriers and facilitators to participating in a culturally tailored smoking cessation intervention on social media. Focus group transcriptswere coded and analyzed using directed content analysis. Results: Overall, young adults had mixed feelings about linking the identities of LGBTQ+ and smoking, and reflected differences in online and "real life" identities. Participants were generally receptive to a social media smoking cessation intervention with concerns about privacy in sharing their smoking status and LGBTQ+ identities with their online social networks. Gender nonconforming individuals had some unique concerns about Facebook policies. Conclusions: This study highlights important considerations in tailoring a social media intervention for LGBTQ+ young adults. We identified experiences of LGBTQ+ young adults that would support tailoring to a diverse community, and suggestions for how to make smoking cessation programs more appealing to this priority population. (c) 2018 Society for Adolescent Health and Medicine. All rights reserved.

Objective: Sexual and gender minority (SGM) individuals are more likely to smoke than are non-SGM individuals. It is unclear whether smoking cessation interventions for young adults are effective in the SGM population. The purpose of this study was to compare smoking cessation, other health risk behaviors, and intervention usability between SGM and non-SGM young adult smokers participating in a digital smoking cessation intervention trial. Methods: Young adult smokers (N = 500; 135 SGM) were assigned to a 90-day Facebook smoking cessation intervention (treatment) or referred to Smokefree. gov (control). Intervention participants were assigned to private Facebook groups tailored to their readiness to quit smoking. Participants reported their smoking status and other health risk behaviors at baseline, 3, 6, and 12 months. Usability of the intervention (i.e., perceptions of the intervention and treatment engagement) was assessed in the intervention group at 3 months. Results: Smoking cessation and intervention usability did not significantly differ between SGM participants and non-SGM participants. A greater proportion of SGM participants were at high risk for physical inactivity over the 12-month follow-up period (odds ratio [OR] = 1.55, p = .005). Conclusion: SGM and non-SGM young adult smokers did not differ in their smoking cessation rates, perceptions of, or engagement in a digital intervention. Health risk behavior patterns were mostly similar; however, the disparity in physical activity between SGM and non-SGM smokers widened over time. Tailored interventions for SGM young adult smokers could increase focus on SGM experiences that can underlie multiple health risk behaviors, such as discrimination and the normativity of smoking.

BACKGROUND:Individual differences in the rate of nicotine metabolism contribute to differences in tobacco use, dependence, and efficacy of smoking cessation treatments and can be assessed using the nicotine metabolite ratio (NMR), a validated biomarker for CYP2A6 activity. Despite the high cigarette smoking rates observed in opioid users, no data have been reported on NMR among this population as they has been largely excluded from previous studies that have examined the relationship between tobacco use characteristics and rate of nicotine metabolism.METHODS:A linear regression model was used to examine the relationship between tobacco use characteristics and NMR among smokers taking buprenorphine for opioid dependency (N=141). The relationship between buprenorphine dose and NMR was also examined. All participants were enrolled in an intervention designed to promote cigarette-smoking cessation, though participants did not need to stop smoking to enroll.RESULTS AND CONCLUSIONS:Rate of nicotine metabolism assessed using the NMR was positively associated with cigarettes smoked in the past 24h, but was not related to time to first cigarette or past year quit attempts. Dose of buprenorphine was not associated with NMR, suggesting no association with rate of nicotine metabolism. Our results suggest that NMR is related to tobacco use among persons enrolled in opioid treatment, as reported in general population smokers and may be a useful biomarker to include in future research assessing efficacy of tobacco cessation interventions in this population.

INTRODUCTION Sexual and gender minority individuals (i.e., lesbian, gay, bisexual, and transgender [LGBT]) have a higher smoking prevalence than nonminority individuals. There is limited evidence of smoking abstinence success in nontailored smoking treatments among LGBT smokers. METHODS This study is a secondary data analysis comparing the efficacy of extended, nontailored treatments among sexual and gender minority and nonminority smokers. Data from two clinical trials were combined to increase power and generalizability of the findings. Trials began with 12 weeks of counseling, nicotine replacement, and bupropion, after which participants were randomized to an extended treatment. RESULTS Follow-up occurred at weeks 12, 24, 52, 64, and 104. Of the sample (n = 777), 17% identified as sexual and gender minority and 83% as nonminority. The sample was 75% non-Hispanic White, with 86% completing at least some college, and 68% were employed. Sexual and gender minorities were younger and indicated a greater desire to quit smoking than nonminority smokers. No other differences emerged on demographic, smoking, or mood variables. The average Fagerström Test for Nicotine Dependence score was 4.8, and mean daily cigarettes was 19.8. The generalized estimating equations model revealed no significant differences in abstinence between sexual and gender minority smokers and nonminority smokers at all follow-up assessments. CONCLUSIONS Sexual and gender minority smokers appear as likely to quit or abstain as nonminority smokers in extended, nontailored interventions. However, these findings may not generalize to other geographic areas, where access to treatment is limited or a higher stigma of sexual orientation exists.

INTRODUCTION:Baseline abstinence goal is a robust predictor of cigarette abstinence. However, important questions about goal remain unanswered. These include variables correlating with goal, changes in goal, relationship of goal and abstinence status over time, and predictors of change. The current study aimed to address these questions.METHOD:Participants were treatment-seeking volunteers in two clinical trials. In Clinical Trial 1 (N=402), participants smoked ≥10 cigarettes per day (CPD) and were ≥50years of age. In Clinical Trial 2 (N=406), participants smoked ≥10 CPD, smoked within 30min of arising, and were ≥18years of age. The outcome variables were biochemically verified 7-day abstinence from cigarettes at weeks 12, 24, 52, and 104. Abstinence goal, demographic, psychological, and smoking related variables were assessed via standard instruments.RESULTS:At baseline, the greater the desire to quit and one's expectations of success, and the lesser the educational level, the more likely participants were to have a quit forever goal. Throughout the two-year study, abstinence from cigarettes and a lower educational level were correlated with a goal of quit forever; 37% of participants changed goal. There were no predictors of goal change. Abstinence goal was related to abstinence status across the study period. The goal predicted abstinence status at subsequent assessments, even when status was controlled.CONCLUSION:Lesser educational levels were consistent predictors of a more stringent goal. Abstinence goal changes over time. These findings suggest that repeated counseling about goal is advisable and participants would benefit from such counseling, independent of demographic characteristics and smoking status.

AIMS:We examined the cost-effectiveness of extended smoking cessation treatment in older smokers.DESIGN:Participants who completed a 12-week smoking cessation program were factorial randomized to extended cognitive behavioral treatment and extended nicotine replacement therapy.SETTING:A free-standing smoking cessation clinic.PARTICIPANTS:A total of 402 smokers aged 50 years and older were recruited from the community.MEASUREMENTS:The trial measured biochemically verified abstinence from cigarettes after 2 years and the quantity of smoking cessation services utilized. Trial findings were combined with literature on changes in smoking status and the age- and gender-adjusted effect of smoking on health-care cost, mortality and quality of life over the long term in a Markov model of cost-effectiveness over a lifetime horizon.FINDINGS:The addition of extended cognitive behavioral therapy added $83 in smoking cessation services cost [P = 0.012, confidence interval (CI) = $22-212]. At the end of follow-up, cigarette abstinence rates were 50.0% with extended cognitive behavioral therapy and 37.2% without this therapy (P < 0.05, odds ratio 1.69, CI 1.18-2.54). The model-based incremental cost-effectiveness ratio was $6324 per quality-adjusted life year (QALY). Probabilistic sensitivity analysis found that the additional $947 in lifetime cost of the intervention had a 95% confidence interval of -$331 to 2081; the 0.15 additional QALYs had a confidence interval of 0.035-0.280, and that the intervention was cost-effective against a $50 000/QALY acceptance criterion in 99.6% of the replicates. Extended nicotine replacement therapy was not cost-effective.CONCLUSIONS:Adding extended cognitive behavior therapy to standard cessation treatment was cost-effective. Further intensification of treatment may be warranted.

OBJECTIVE:Smoking and alcohol use are highly related; as such the present study investigated whether alcohol use is associated with failure in tobacco cessation attempts. We first examined the self-reported drinking behavior and smoking over the course of a year at a basic level. Next, we addressed two hypotheses to characterize this relationship at a deeper level: (Hypothesis 1) Alcohol use would be lower for those who attempted to quit smoking (quit for one or more days) during the year compared to those who never quit, and (Hypothesis 2) for those who relapsed to smoking after a quit increases in alcohol consumption would be positively associated with increases in smoking. METHOD:Subjects were participants in two smoking cessation programs. One group of participants (N=139) was part of a smoking cessation study in alcohol dependent smokers in early recovery and the other group of participants (N=163) was drawn from a smoking cessation study for HIV positive smokers. H1 was tested using t-tests. For H2, a time series analysis examined relationships between smoking and alcohol use within person over a one year period. For H1 and for H2, the analyses utilized bivariate time series procedures. Timeline follow-back data allowed for detailed daily reports of both tobacco and alcohol use. RESULTS:In the overall sample, there was no difference in alcohol use between those who stopped smoking and those who never stopped. However, when broken up by study, a difference was found in the alcohol dependent sample such that mean drinks were higher for those who stopped compared to those who never stopped smoking (H1). The results indicated a high number of positive significant cross-correlations between tobacco and alcohol use such that one substance predicted current, as well as past and future use of the alternate substance. Same-day cross-correlations were the most common, and dissipated with time (H2). CONCLUSIONS:This analysis provided insights into the proximal influence of one substance on the other. Alcohol is related to relapse in smoking cessation attempts. It is important that smoking cessation efforts in alcohol using populations consider alcohol use in treatment.

INTRODUCTION Identifying successful smoking treatment interventions and methods of delivery is critical given the smoking rates among HIV-positive populations and the medical implications of smoking in this population. This study compared the efficacy of 3 smoking cessation interventions provided in HIV clinical treatment settings. METHODS Following a baseline assessment, 209 HIV-positive smokers were randomly assigned to 1 of 3 conditions in a parallel group design. Treatment conditions were individual counseling plus nicotine replacement treatment (NRT), a computer-based Internet smoking treatment plus NRT, and self-help plus NRT. Smoking status was determined at follow-up assessments completed at 12, 24, 36, and 52 weeks following treatment initiation. RESULTS Cessation rates ranged from 15% to 29%; however, no statistically significant differences in abstinence were found among the treatment conditions over time. Those employed, those who reported a greater desire to quit, or those with lower mood disturbance scores were more likely to achieve abstinence (p < .01). The number of cigarettes participants reported smoking in the 24hr prior to each assessment significantly declined over time (p < .001). CONCLUSIONS Although we found no differences in abstinence rates across groups, the results indicate that integration of smoking cessation interventions is feasible in HIV clinical treatment settings, and cessation results are promising. The overall abstinence rates we report are comparable to those found in similar treatment studies across multiple populations. Further research is warranted.

INTRODUCTION Alcohol and marijuana are among the most commonly used substances together with tobacco worldwide, but their relationship to smoking cessation is unclear. Although alcohol use decreases the likelihood of abstinence from tobacco, mechanisms of this effect have not been identified. Moreover, a small literature has yielded inconsistent findings regarding the effect of marijuana use on tobacco dependence treatment outcome. The aims of this study were to test increased positive-reinforcement smoking urge as a mediator of the relationship between alcohol and cigarette use and evaluate the impact of marijuana use on abstinence from tobacco. METHODS Participants were adult cigarette smokers (N = 739) from 3 randomized clinical trials of smoking cessation treatment. Alcohol consumption and marijuana use were assessed at pretreatment and postcessation. Biochemically verified, 7-day point prevalence smoking abstinence was determined at Weeks 12, 24, 36, and 52, as were urges to smoke as measured by the Questionnaire of Smoking Urges. RESULTS Increased positive-reinforcement urge mediated the effect of postcessation alcohol use on smoking abstinence. Although pretreatment alcohol use was associated with a decreased likelihood of abstinence from tobacco, increased positive-reinforcement urge did not account for this relationship. Marijuana use was not associated with abstinence from tobacco. CONCLUSIONS Smoking cessation treatments should provide those who drink during a quit attempt techniques designed to mitigate positive-reinforcement urge to smoke. Additional research is needed to determine how pretreatment alcohol consumption exerts its effect on cigarette use. Modifying the use of marijuana might not be critical to the success of tobacco interventions.

Objectives. We evaluated smoking-cessation efficacy of an extended course of sustained-release bupropion (bupropion SR) and cognitive-behavioral treatment (CBT). Methods. Participants who smoked at least 10 cigarettes per day and who smoked within 30 minutes of arising (n = 406) completed a 12-week smoking-cessation treatment including group counseling, nicotine-replacement therapy, and bupropion SR. Participants were then randomly assigned to 1 of 5 conditions: (1) no further treatment, (2) active bupropion SR for 40 weeks, (3) placebo for 40 weeks, (4) active bupropion SR and 11 sessions of CBT for 40 weeks (A-CBT), or (5) placebo and 11 sessions of CBT for 40 weeks. Participants were assessed at baseline and at weeks 12, 24, 52, 64, and 104. Results. A-CBT was not superior to the other 3 extended treatments. From weeks 12 through 104, all extended treatment conditions were superior to standard treatment. At weeks 64 and 104, the 2 CBT conditions produced significantly higher abstinence rates than did the other 3 conditions. Conclusions. Brief contact with providers can increase abstinence during treatment. CBT may increase long-term abstinence after extended treatment is terminated.