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Purpose: Sexual and gender minoritized (SGM) populations face health disparities along the cancer care continuum, although attempts to define these disparities are limited by a lack of comprehensive sexual orientation and gender identity (SOGI) data collection. The objective of this study was to interview a diverse group of stakeholders to understand attitudes, barriers, and facilitators to inform data collection approaches in a cancer care setting. Methods: This was a qualitative study conducted from March to July 2023 with paired surveys of stakeholders including patients, caregivers, providers, and cancer registry staff. Twenty participants across these categories, including half who identified as SGM, completed surveys and interviews. Qualitative data were reduced to themes with exemplar quotations using rapid qualitative analysis methods and compared to survey data. Results: Themes revealed general support for SOGI data collection as part of holistic cancer care, and all participants acknowledged that specific SOGI-related information, particularly correct pronoun usage, was essential to inform patient-centered care. Themes revealed tensions around optimal SOGI data collection methods, mixed opinions on the relevance of sexual orientation, experiences of discrimination and discomfort related to SOGI, and limited acknowledgment of population benefits of SOGI data collection. Conclusion: Themes demonstrated overall support for SOGI data collection but also revealed several barriers, such as a lack of recognition of population benefits and experiences of discrimination and discomfort, that will need to be addressed to comprehensively collect these data. Based on diverse preferences and limitations of all methods of collection, a multimodal approach may be needed to optimize completion.

Background: The legal climate for cannabis use has dramatically changed with an increasing number of states passing legislation legalizing access for medical and recreational use. Among cancer patients, cannabis is often used to ameliorate adverse effects of cancer treatment. Data are limited on the extent and type of use among cancer patients during treatment and the perceived benefits and harms. This multicenter survey was conducted to assess the use of cannabis among cancer patients residing in states with varied legal access to cannabis., Methods: A total of 12 NCI-Designated Cancer Centers, across states with varied cannabis-access legal status, conducted surveys with a core questionnaire to assess cannabis use among recently diagnosed cancer patients. Data were collected between September 2021 and August 2023 and pooled across 12 cancer centers. Frequencies and 95% confidence intervals for core survey measures were calculated, and weighted estimates are presented for the 10 sites that drew probability samples., Results: Overall reported cannabis use since cancer diagnosis among survey respondents was 32.9% (weighted), which varied slightly by state legalization status. The most common perceived benefits of use were for pain, sleep, stress and anxiety, and treatment side effects. Reported perceived risks were less common and included inability to drive, difficulty concentrating, lung damage, addiction, and impact on employment. A majority reported feeling comfortable speaking to health-care providers though, overall, only 21.5% reported having done so. Among those who used cannabis since diagnosis, the most common modes were eating in food, smoking, and pills or tinctures, and the most common reasons were for sleep disturbance, followed by pain and stress and anxiety with 60%-68% reporting improved symptoms with use., Conclusion: This geographically diverse survey demonstrates that patients use cannabis regardless of its legal status. Addressing knowledge gaps concerning benefits and harms of cannabis use during cancer treatment is critical to enhance patient-provider communication., (Published by Oxford University Press 2024.)

Medical cannabis with cancer as a qualifying condition has become legalized in more states, but currently there are no standardized measures of perceived benefits and harms of cannabis use in cancer. This study surveyed a population-based sample of cancer survivors (n = 1539) with various types of cancer including breast (25%), prostate (17%), and gastrointestinal (11%) cancers. Item response theory analyses were used to evaluate the items for measuring perceived benefits and harms. Item response theory evaluates survey items by estimating the accuracy (analogous to reliability) and severity reflected by each item. Item response theory analyses showed all the items were accurate (reliable) measures of perceived benefits or harms. The perceived benefits items assessed beliefs well from low to high levels of perceived benefits. The perceived harms items assessed beliefs from moderate to high levels of perceived harms. The items can be used in future studies to standardize measurement while allowing some customization., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: More people who smoke and are living with HIV now die from tobacco-related diseases than HIV itself. Most people are ambivalent about quitting smoking and want to quit someday but not yet. Scalable, effective interventions are needed to motivate and support smoking cessation among people ambivalent about quitting smoking (PAQS) who are living with HIV., Objective: This study aims to develop an app-based intervention for PAQS who are living with HIV and assess its feasibility, acceptability, and potential impact. Results of this study will inform plans for future research and development., Methods: In phase 1, PAQS living with HIV (n=8) participated in user-centered design interviews to inform the final intervention app design and recruitment plan for a subsequent randomized pilot study. In phase 2, PAQS living with HIV were randomized to either a standard care control app or a similar experimental app with additional content tailored for PAQS and those with HIV. Participants were followed for 3 months. Feasibility focused on recruitment, retention, and participants' willingness to install the app. The study was not powered for statistical significance. Indices of acceptability (satisfaction and use) and impact (smoking behavior change and treatment uptake) were assessed via automated data and self-report among those who installed and used the app (n=19)., Results: Recruitment for both study phases was a challenge, particularly via web-based and social media platforms. Enrollment success was greater among people living with HIV recruited from a health care provider and research registry. Once enrolled, retention for the phase 2 randomized study was good; 74% (14/19) of the participants completed the 3-month follow-up. Phase 1 findings suggested that PAQS living with HIV were receptive to using an app-based intervention to help them decide whether, when, and how to stop smoking, despite not being ready to quit smoking. Phase 2 findings further supported this conclusion based on feedback from people who agreed to use an app, but group differences were observed. Indices of acceptability favored the experimental arm, including a descriptively higher mean number of sessions and utilization badges. Similarly, indices of potential impact were descriptively higher in the experimental arm (proportion reducing smoking, making a quit attempt, or calling free tobacco quitline). No participants in either arm quit smoking at the 3-month follow-up., Conclusions: On the basis of this formative work, PAQS living with HIV may be receptive to using a mobile health-based app intervention to help them decide whether, when, or how to stop using tobacco. Indices of acceptability and impact indicate that additional research and development are warranted., Trial Registration: ClinicalTrials.gov NCT05339659; https://clinicaltrials.gov/study/NCT05339659., (©Jennifer B McClure, Jaimee L Heffner, Chloe Krakauer, Sophia Mun, Sheryl L Catz. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.07.2024.)

Purpose: This study aimed to characterize the prevalence and correlates of cannabis use and the methods and reasons for use among recently diagnosed cancer survivors in a population sample within Washington state., Methods: We identified individuals diagnosed with invasive cancers in the prior 6 to 17 months from April 2020 to December 2020 using the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. Participants (n = 1,515) completed a questionnaire, including demographics, medical history, cannabis use, and other substance use. Cancer characteristics and date of diagnosis were obtained from SEER registry data. We calculated weighted prevalence estimates and logistic regression models to evaluate correlates of cannabis use., Results: Overall, 41.3% of survivors reported cannabis use at any time after diagnosis, most commonly via edibles (60.5%) and smoking (43.8%). The most frequently reported reasons for use were sleep (54.5%), mood, stress, anxiety, and depression (44.3%), pain (42.3%), and recreation (42.3%). Cannabis use was associated with younger age, race (White vs. Asian), less education, former or current smoking, consuming more than 2 alcohol-containing drinks per day, having late-stage cancer, and cancer site., Conclusion: In this first evaluation of cannabis use in a registry-linked, population-based sample of survivors of all cancer types, based in a state where recreational and medical cannabis have been legal for a decade, approximately 2 in 5 survivors reported post-diagnosis use. Given how common cannabis use is among cancer survivors, there is a great need to understand its impact on cancer treatment outcomes and the overall health of cancer survivors., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Introduction: Lesbian, gay, and bisexual (LGB) individuals and Veterans are more likely to report current smoking than the general adult population in the United States. The Minority Stress Model may explain the high prevalence of cigarette smoking among LGB individuals, who experience unique interpersonal (e.g., discrimination) and intrapersonal (e.g., identity concealment) stressors related to their minoritized sexual orientation., Aims and Methods: This study assessed whether three types of stressors (interpersonal, intrapersonal, and LGB-specific military) were associated with past-year smoking among LGB Veterans. Veterans were recruited online for a prospective cohort study. We conducted secondary data analysis of baseline surveys collected from 2019 to 2020. The study sample included cisgender, LGB Veterans (n = 463). Adjusted nested multivariable logistic regression models were used to estimate the association of each stressor with past-year cigarette smoking., Results: Participants were mostly male (54.0%), non-Hispanic white (82.1%), and at least a college graduate (58.5%). LGB Veterans who were younger, had lower levels of education, income, and healthcare coverage, higher general stressors, and post-traumatic stress disorder and depression symptoms were more likely to smoke in the past year (n = 98, 21.2%). The adjusted odds of past-year smoking were higher among those who reported higher levels of harassment (aOR = 1.13, 95% confidence interval [CI]: 1.01 to 1.26), victimization (aOR = 1.13, 95% CI: 1.02 to 1.43), and family rejection (aOR = 1.13, 95% CI: 1.08 to 1.36)., Conclusions: Multiple interpersonal stressors were associated with past-year smoking, highlighting the need to intervene on these stressors. Future interventions should aim to address policies that reduce prejudice against LGB Veterans, while helping those who smoke identify and develop positive coping skills that support cessation., Implications: Our findings contribute to the growing body of literature on tobacco use disparities among LGB individuals, particularly LGB Veterans. Results of this analysis provide some evidence for the Minority Stress Model as a conceptual model for understanding and intervening in disparities in smoking prevalence among LGB Veterans., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Behavioral activation (BA) is an effective intervention for both depression and substance use disorders. Combining BA with a standard smoking cessation intervention may improve quit rates by addressing depressive symptoms, a key barrier to quitting. This study preliminarily evaluated the acceptability and efficacy of the BA-based Actify! mobile health application (mHealth app) for smoking cessation., Methods: We conducted a pilot randomized controlled trial (n=242) comparing Actify! with the National Cancer Institute's (NCI) app for smoking cessation (QuitGuide) on acceptability (user satisfaction, app openings), smoking abstinence, and mechanisms of change (behavioral activation and depressive symptoms) at 8 weeks and 6 months post-randomization. Participants were US adults recruited online who smoked daily., Results: Treatment satisfaction was uniformly higher in the Actify! arm. Number of app openings was similar across arms (M=34.3 openings over 8 weeks in both arms). Self-reported 30-day point prevalence abstinence (PPA) at 8 weeks was 12.6% for Actify! vs. 7.3% for QuitGuide. Differences in 30-day PPA continued through 6 months (18.5% for Actify! vs. 12.2% for QuitGuide). Changes between baseline and 8 weeks in depressive symptoms and behavioral activation favored Actify!. Planned subgroup analyses suggested greater benefit of Actify! among participants with pre-treatment mild to moderate depression symptom severity compared to those with no depression symptoms., Conclusions: Actify! showed considerable promise as a novel mHealth treatment, as evidenced by high usage and higher user satisfaction and quit rates than QuitGuide at both short- and long-term follow-up. The next step is to evaluate Actify! in a fully-powered efficacy trial., Implications: Study findings demonstrate the promise of a behavioral activation (BA)-based mobile health app (Actify!) for smoking cessation as a population-level intervention that can effectively address depressive symptoms as a risk factor for worse smoking treatment outcomes. The Actify! app is the first standalone BA-based app to demonstrate potential for improved acceptability and efficacy relative to a standard care comparison app, with user satisfaction and smoking quit rates descriptively exceeding those of the National Cancer Institute's QuitGuide app., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Alcohol is a risk factor for cancer and may pose unique risks for cancer survivors. Population-based studies of confirmed cancer cases are needed to estimate the extent of drinking among cancer survivors and to understand which survivors are most at risk of alcohol-related health problems., Methods: Cancer survivors who resided in the Puget Sound Surveillance, Epidemiology, and End Results (SEER) region, were ages 21 to 74 years at diagnosis, and were 6 to 17 months post-diagnosis at the start of the recruitment period (April 2020-December 2020) were sent a survey that included demographics, substance use, mental health, and cancer-related items. Data from returned surveys (n = 1,488) were weighted to represent the characteristics of the Puget Sound SEER region. We estimated the prevalence of post-diagnosis alcohol use as well as demographic, behavioral, and clinical correlates of three levels of drinking: any drinking, drinking exceeding cancer prevention guidelines, and hazardous drinking., Results: The weighted prevalence of any drinking, drinking exceeding cancer prevention guidelines, and hazardous drinking was 71%, 46.2%, and 31.6%, respectively. Higher income and cannabis use were associated with increased odds of all three drinking levels. Lower physical health quality of life, having non-colorectal gastrointestinal cancer, and receiving chemotherapy within the last month were associated with decreased odds of all three drinking levels., Conclusions: The prevalence of any drinking and at-risk drinking was higher than in previous studies and differed based on sociodemographic, substance use, and cancer-related factors., Impact: Findings highlight the importance of identifying and addressing risky alcohol use in cancer care settings., (©2024 American Association for Cancer Research.)

Purpose: To examine differences across gender and sexual orientation in cigarette smoking motives and stages of change in smoking cessation among Veterans., Design: Secondary data analysis of cross-sectional baseline surveys from a prospective cohort study., Setting: United States, self-administered online survey., Participants: Cisgender Veterans who reported past-year smoking (N = 146); 66.4% identified as lesbian, gay, or bisexual and 52.1% were men., Measures: Smoking motives (i.e., social, self-confidence, boredom relief, and affect regulation), with higher scores indicating stronger motivation to smoke. Stages of change categories included precontemplation, contemplation/preparation, and action/maintenance., Analysis: Analyses were stratified by gender and sexual orientation. Age-adjusted linear regression models estimated differences in smoking motives scores and multinomial logistic regression models estimated differences in stages of change categories relative to the precontemplation stage (reference category)., Results: In this Veteran sample, gay men reported higher social smoking motives vs heterosexual men (β = 1.50 (95% CI: .04, 2.97), P -value = .045) and higher boredom relief smoking motives vs bisexual men (β = 1.53 (95% CI: .06, 2.29), P -value = .041) in age-adjusted models. Lesbian women were more likely to be in the action/maintenance stage relative to the precontemplation stage when compared to both heterosexual women (aRRR = 4.88 (95% CI: 1.00, 23.79) P -value = .050) and bisexual women (aRRR = 16.46 (95% CI: 2.12, 127.57), P -value = .007) after adjusting for age., Conclusion: Smoking cessation interventions may benefit from enhancing peer support for gay men. Given bisexual and heterosexual women were in less advance stages of change, there may be a greater need for motivational interventions to encourage quitting and additional support to assist with cessation efforts. Overall, findings highlight the diversity of cigarette use within LGB communities., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Purpose: Financial worry is an under-appreciated negative effect of cancer. The relationship of financial worry and health behaviors in cancer is poorly characterized and has important clinical implications. This study examined the association of financial worry with substance misuse, mood, and quality of life., Methods: People with cancer (n = 1473; 6 to 20 months after diagnosis) were recruited from a SEER cancer registry in the Pacific Northwest. Participants completed an online survey assessing financial worry; misuse of cannabis, alcohol, and prescription drugs; tobacco smoking status; quality of life (physical and mental dimensions); anxiety; and depression. Multivariable regressions tested the association of financial worry to each health indicator and outcome., Results: In adjusted analyses, financial worry was associated with being a current vs. never smoker (odds ratio (OR) = 1.91, 95% confidence interval (CI): 1.01, 3.60), and a positive screen for an anxiety (OR = 3.01, 95% CI: 1.93, 4.68) and depressive (OR = 3.08, 95% CI: 1.89, 5.00) disorder. Financial worry was not associated with cannabis, alcohol, or prescription drug misuse (all ps > 0.05), but was associated with a decrease in physical (β =  - 2.97, 95% CI: - 4.15, - 1.79) and mental (β =  - 5.27, 95% CI: - 6.59, - 3.96) quality of life., Conclusion: Financial worry among cancer survivors is associated with anxiety, depression, and worse quality of life. Of the evaluated substances, there was only an increased odds of current tobacco use with financial worry. Future longitudinal studies should inform the relationships between these factors., Implications for Cancer Survivors: Financial worry and material hardship may both need to be addressed in cancer survivorship., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: People with serious mental illness (SMI; bipolar [BD] or schizophrenia spectrum disorders [SSD]) who smoke have 30-60% lower odds of quitting and are more prone to experience neuropsychiatric adverse events (NPSAEs) when quitting than smokers without SMI. We pilot-tested the feasibility of combining two different dosing strategies of varenicline preloading with Acceptance and Commitment Therapy (ACT) in persons with SMI in an attempt to bolster quit rates without increasing NPSAEs., Methods: Twelve-week, single center, randomized, double-blind, pilot feasibility trial of low (0.5mg twice daily, slower titration) versus standard dose (1.0mg twice daily, standard titration) varenicline in persons with BD or SSD with a 12-week follow-up. All participants received up to 10 sessions of ACT for smoking cessation. Participants were asked to preload with varenicline while still smoking and set a flexible target quit day (TQD) by day 35., Results: Recruitment was hampered by shutdowns related to COVID-19 and the worldwide varenicline recall, respectively. Retention goals were met. Treatment satisfaction was high across both dosing and diagnostic groups. Most participants (92.9%) adhered to preloading instructions and the flexible TQD. Seven-day point prevalence abstinence at week 12 was highest in BD participants (37.5%) but lowest in SSD participants (16.7%) who received the standard dose. Medication was well tolerated., Conclusions: Although recruitment was hindered by unanticipated world events, feasibility was demonstrated. Participants adhered to and were highly satisfied with the combination of pre-cessation varenicline plus ACT. Findings support testing this combined treatment approach in a fully powered trial of persons with BD who smoke., Competing Interests: Declaration of Competing Interest Dr. Anthenelli received an Investigator-Initiated Research (IIR #WI238555) award from Pfizer that provided study medication and matching placebo used in this trial. He receives editorial support from Envision Pharma Group, funded by Pfizer, for EAGLES publications. Neither Pfizer nor Envision played any role in the study design; in the collection, analysis and interpretation of data; in the writing of this report; or in the decision to submit the article for publication. The other authors have nothing to declare., (Copyright © 2023. Published by Elsevier B.V.)

Introduction: Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification., Aims and Methods: This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates., Results: A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent., Conclusions: This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies., Implications: This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Most smokers are ambivalent about quitting-they want to quit someday, but not now. Interventions are needed that can engage ambivalent smokers, build their motivation for quitting, and support future quit attempts. Mobile health (mHealth) apps offer a cost-effective platform for such interventions, but research is needed to inform their optimal design and assess their acceptability, feasibility, and potential effectiveness., Objective: This study aims to assess the feasibility, acceptability, and potential impact of a novel mHealth app for smokers who want to quit smoking someday but are ambivalent about quitting in the near term., Methods: We enrolled adults across the United States who smoked more than 10 cigarettes a day and were ambivalent about quitting (n=60). Participants were randomly assigned to 1 of 2 versions of the GEMS app: standard care (SC) versus enhanced care (EC). Both had a similar design and identical evidence-based, best-practice smoking cessation advice and resources, including the ability to earn free nicotine patches. EC also included a series of exercises called experiments designed to help ambivalent smokers clarify their goals, strengthen their motivation, and learn important behavioral skills for changing smoking behavior without making a commitment to quit. Outcomes were analyzed using automated app data and self-reported surveys at 1 and 3 months post enrollment., Results: Participants who installed the app (57/60, 95%) were largely female, White, socioeconomically disadvantaged, and highly nicotine dependent. As expected, key outcomes trended in favor of the EC group. Compared to SC users, EC participants had greater engagement (mean sessions 19.9 for EC vs 7.3 for SC). An intentional quit attempt was reported by 39.3% (11/28) of EC users and 37.9% (11/29) of SC users. Seven-day point prevalence smoking abstinence at the 3-month follow-up was reported by 14.7% (4/28) of EC users and 6.9% (2/29) of SC users. Among participants who earned a free trial of nicotine replacement therapy based on their app usage, 36.4% (8/22) of EC participants and 11.1% (2/18) of SC participants requested the treatment. A total of 17.9% (5/28) of EC and 3.4% (1/29) of SC participants used an in-app feature to access a free tobacco quitline. Other metrics were also promising. EC participants completed an average of 6.9 (SD 3.1) out of 9 experiments. Median helpfulness ratings for completed experiments ranged from 3 to 4 on a 5-point scale. Finally, satisfaction with both app versions was very good (mean 4.1 on a 5-point Likert scale) and 95.3% (41/43) of all respondents would recommend their app version to others., Conclusions: Ambivalent smokers were receptive to the app-based intervention, but the EC version, which combined best-practice cessation advice with self-paced, experiential exercises, was associated with greater use and evidence of behavior change. Further development and evaluation of the EC program is warranted., Trial Registration: ClinicalTrials.gov NCT04560868; https://clinicaltrials.gov/ct2/show/NCT04560868., (©Jennifer B McClure, Jaimee L Heffner, Chloe Krakauer, Sophia Mun, Predrag Klasnja, Sheryl L Catz. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 28.06.2023.)

Introduction: This scoping review takes stock of the social and behavior change theories that have underpinned tobacco interventions tailored to sexual and/or gender minority (SGM) people and reflects on the need to target contextually based drivers of SGM tobacco use inequities., Aims and Methods: Data sources were Medline (Ovid), Scopus, PubMed, and Google Scholar (January 01, 1946 to October 27, 2022). Peer-reviewed publications in English from anywhere in the world describing SGM-tailored tobacco cessation and/or prevention interventions were independently identified by a librarian and screened by the first and third authors. Three hundred and sixty-seven articles were extracted; an additional two were found by hand searching. A total of 369 articles were assessed for eligibility. Exclusion criteria were: Not an intervention, review article, not SGM-tailored, or tobacco-focused. We documented the intervention name, intervention components, theoretical frameworks cited in reference to intervention design and/or implementation, and evaluation outcomes. All authors provided input on theoretical framework categorization., Results: We identified 22 publications corresponding to 15 unique interventions. Individual-level behavior change theories (ie, those focusing on within-person behavior change processes) were the most prominent. Among these, the Transtheoretical Model was the most frequently utilized, while Social Inoculation Theory, Theory of Reasoned Action, and Theory of Psychological Reactance were also employed. A minority of interventions referenced frameworks that more explicitly engaged with SGM people's social contexts, namely, Theory of Diffusion of Innovations and Minority Stress Model., Conclusions: Future SGM-tailored tobacco interventions should leverage both the strengths of individual-level behavior change theories and those of frameworks that understand tobacco use inequities as indivisible from place, context, and policy., Implications: This scoping review describes the theoretical underpinnings of sexual and/or gender minority (SGM)-tailored tobacco interventions published in the peer-review literature in English. It reflects on the need for greater utilization of social and behavior change theoretical frameworks that can engage with unique drivers of SGM tobacco use and barriers to cessation., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Tailored tobacco cessation interventions focusing on minoritized communities are proliferating, but the extent to which these interventions address the needs of individuals with multiple minoritized social identities is unclear. We developed Empowered, Queer, Quitting, and Living (EQQUAL), an avatar-led digital smoking cessation intervention tailored for lesbian, gay, bisexual, transgender, queer or questioning, intersex, asexual, and more (LGBTQIA+) young adults based on acceptance and commitment therapy (ACT), via a multistage user-centered design process. The purpose was to evaluate feedback from EQQUAL development activities using an intersectional lens. Intersectionality is a paradigm created by Kimberlé Crenshaw illustrating the multiple social identities each person possesses along with the marginalization of these different social identities. We conducted a rapid deductive content analysis focused on intersectional design gaps using interviewer notes from user testing ( n = 7), a diary study ( n = 8), and treatment satisfaction responses from a single-arm trial of the EQQUAL intervention ( n = 22). Feedback related to intersectional design fell under three broad themes: (a) inadequate representativeness of the avatar, (2) inadequate representativeness within the program broadly, and (3) non-inclusive ACT intervention content. Feedback on inclusiveness included reference to socioeconomic status, race/ethnicity, religious/cultural affiliation, and ability/disability. Although we previously found that EQQUAL was highly acceptable and showed promise in terms of efficacy in a single-arm pilot trial, we identified several gaps in intersectional design as the iterative intervention development proceeded. Because intersectional design is a critical part of developing interventions with a health equity focus, applying standardized procedures for intersectional design and analysis could improve intervention design and better address tobacco cessation treatment needs of individuals who may experience multiple forms of marginalization.

Background: Despite the declining prevalence of cigarette smoking in the United States, socioeconomically disadvantaged veterans receiving care from the Veterans Health Administration have a high prevalence of smoking. Currently, available treatment options for these veterans focus on tobacco users who are ready to quit and have limited reach. Consequently, there is a great need for accessible, effective smoking cessation interventions for veterans at all levels of readiness to quit smoking., Objective: To address these needs, we developed Vet Flexiquit, a web-based Acceptance and Commitment Therapy program for veterans, and evaluated its acceptability (primary aim), efficacy, and impact on theory-based change processes relative to the National Cancer Institute's SmokefreeVET program in a pilot randomized controlled trial., Methods: Participants (N=49) were randomized 1:1 to receive either the Vet Flexiquit (n=25) or SmokefreeVET (n=24) web program. Both groups received SMS text messages as part of the intervention for 6 weeks. Both interventions are fully automated and self-guided. Primary outcome data were collected at 3 months after the randomization. Self-reported smoking abstinence was biochemically verified using saliva cotinine. Multivariable logistic regression, negative binomial regression, and linear regression models were used to evaluate the association between the treatment arm and outcomes of interest., Results: Acceptability, as measured by overall treatment satisfaction, was high and similar across treatment arms: 100% (17/17) for Vet Flexiquit and 95% (18/19) for SmokefreeVET. Acceptability, as measured by utilization, was more modest (log-ins: M=3.7 for Vet Flexiquit and M=3.2 for SmokefreeVET). There were no statistically significant differences between treatment arms for any acceptability measures. Similarly, there were no statistically significant differences between treatment arms in the secondary outcomes of smoking cessation or change in Acceptance and Commitment Therapy's theory-based processes. In open-ended survey responses, some veterans in both treatment arms expressed interest in having support from a professional or peer to enhance their experience, as well as an expanded SMS text messaging program., Conclusions: Both programs had high ratings of acceptability, limited utilization, and a similar impact on cessation and cessation processes. Taken together with the qualitative data suggesting that additional support may enhance participants' experience of both programs, these preliminary findings suggest that the programs may have similar outcomes among veterans who are looking for a digital cessation treatment option and that integrating provider or peer support and enhancing the SMS text messaging program holds promise as a means of boosting engagement and outcomes for both programs., Trial Registration: ClinicalTrials.gov NCT04502524; https://clinicaltrials.gov/ct2/show/NCT04502524., (©Jaimee L Heffner, Megan M Kelly, Erin D Reilly, Scott G Reece, Tracy Claudio, Edit Serfozo, Kelsey Baker, Noreen L Watson, Maria Karekla. Originally published in JMIR Formative Research (https://formative.jmir.org), 14.04.2023.)

Background: Implementation of effective smoking cessation interventions in lung cancer screening has been identified as a high-priority research gap, but knowledge of current practices to guide process improvement is limited due to the slow uptake of screening and dearth of data to assess cessation-related practices and outcomes under real-world conditions., Objective: To evaluate cessation treatment receipt and 1-year post-screening cessation outcomes within the largest integrated healthcare system in the USA-the Veterans Health Administration (VHA). Design Observational study using administrative data from electronic medical records (EMR). Patients Currently smoking Veterans who received a first lung cancer screening test using low-dose CT (LDCT) between January 2014 and June 2018. Main Outcomes Tobacco treatment received within the window of 30 days before and 30 days after LDCT; 1-year quit rates based on EMR Smoking Health Factors data 6-18 months after LDCT. Key Results Of the 47,609 current smokers screened (95.3% male), 8702 (18.3%) received pharmacotherapy and/or behavioral treatment for smoking cessation; 531 (1.1%) received both. Of those receiving pharmacotherapy, only one in four received one of the most effective medications: varenicline (12.1%) or combination nicotine replacement therapy (14.3%). Overall, 5400 Veterans quit smoking-a rate of 11.3% (missing=smoking) or 13.5% (complete case analysis). Treatment receipt and cessation were associated with numerous sociodemographic, clinical, and screening-related factors., Conclusions: One-year quit rates for Veterans receiving lung cancer screening in VHA are similar to those reported in LDCT clinical trials and cohort studies (i.e., 10-17%). Only 1% of Veterans received the recommended combination of pharmacotherapy and counseling, and the most effective pharmacotherapies were not the most commonly received ones. The value of screening within VHA could be improved by addressing these treatment gaps, as well as the observed disparities in treatment receipt or cessation by race, rurality, and psychiatric conditions., (© 2021. Society of General Internal Medicine.)

This paper reports on topics discussed at a Society for Research on Nicotine and Tobacco pre-conference workshop at the 2019 annual Society for Research on Nicotine and Tobacco meeting. The goal of the pre-conference workshop was to help develop a shared understanding of the importance of several tobacco-related priority groups in tobacco use disorder (TUD) treatment research and to highlight challenges in measurement related to these groups. The workshop focused on persons with minoritized sex, gender identity, and sexual orientation identities; persons with minoritized racial and ethnic backgrounds; persons with lower socioeconomic status (SES); and persons with mental health concerns. In addition to experiencing commercial tobacco-related health disparities, these groups are also underrepresented in tobacco research, including TUD treatment studies. Importantly, there is wide variation in how and whether researchers are identifying variation within these priority groups. Best practices for measuring and reporting sex, gender identity, sexual orientation, race, ethnicity, SES, and mental health concerns in TUD treatment research are needed. This paper provides information about measurement challenges when including these groups in TUD treatment research and specific recommendations about how to measure these groups and assess potential disparities in outcomes. The goal of this paper is to encourage TUD treatment researchers to use measurement best practices in these priority groups in an effort to conduct meaningful and equity-promoting research. Increasing the inclusion and visibility of these groups in TUD treatment research will help to move the field forward in decreasing tobacco-related health disparities. Implications: Tobacco-related disparities exist for a number of priority groups including, among others, women, individuals with minoritized sexual and gender identities, individuals with minoritized racial and ethnic backgrounds, individuals with lower SES, and individuals with mental health concerns. Research on TUD treatments for many of these subgroups is lacking. Accurate assessment and consideration of these subgroups will provide needed information about efficacious and effective TUD treatments, about potential mediators and moderators, and for accurately describing study samples, all critical elements for reducing tobacco-related disparities, and improving diversity, equity, and inclusion in TUD treatment research., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: This study aimed to characterize patient and clinical factors associated with cannabis (marijuana) use among patients diagnosed with colorectal cancer (CRC)., Methods: We identified CRC patients, diagnosed from 2016 to 2018, using the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. CRC patients were recruited via mail and telephone, and participants completed a questionnaire eliciting information on medical history, demographics, and lifestyle factors, including cannabis use. Cancer stage was obtained from SEER registry data., Results: Of 1,433 survey respondents, 339 (24%) were current cannabis users. Current cannabis use was associated with younger age at diagnosis, lower BMI, and a higher prevalence of cigarette smoking and alcohol consumption (p-value < 0.05). Cannabis use was also associated with lower quality of life scores (FACT-C) and advanced-stage cancer (p-value < 0.05)., Conclusion: Cannabis use among CRC patients was common. Patients with more advanced disease were more likely to report cannabis use. Use also varied by some personal factors, consistent with patterns in the general population. Given the high prevalence of cannabis use among CRC patients, research is needed to determine the benefits and harms of cannabis use for symptom management in cancer patients., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Smoking rates are disproportionately high among people living with HIV. Smokers living with HIV (SLWH) are also largely unaware of the HIV-specific deleterious effects of smoking and often lack motivation and confidence in their ability to quit tobacco. To address these issues, we developed the Wellness Intervention for Smokers Living with HIV (WISH). WISH is grounded in the Information-Motivation-Behavioral Skills (IMB) Model and is designed for all SLWH, regardless of their initial motivation to quit. It follows evidence-based, best practice guidelines for nicotine dependence treatment, but is innovative in its use of a comprehensive wellness approach that addresses smoking within the context of HIV self-management including treatment adherence and engagement, stress management, substance use, and other personally relevant health behavior goals. The described randomized trial will enroll SLWH who are receiving care at Veterans Affairs (VA) medical centers and compare WISH's impact on smoking behavior to standard care services offered through the National VA Quitline and SmokefreeVET texting program. It will also assess intervention impact on markers of immune status and mortality risk. If effective, WISH could be disseminated to Veterans nationwide and could serve as a model for designing quitline interventions for other smokers who are ambivalent about quitting. The current paper outlines the rationale and methodology of the WISH trial, one of a series of studies recently funded by the National Cancer Institute to advance understanding of how to better promote smoking cessation among SLWH., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Sexual and gender minority young adults have a high prevalence of smoking and unique barriers to accessing tobacco treatment., Objective: To address these challenges as well as their preferences for sexual and gender minority-targeted interventions and digital programs, we developed and evaluated the acceptability, preliminary efficacy, and impact on theory-based change processes of an acceptance and commitment therapy-based digital program called Empowered, Queer, Quitting, and Living (EQQUAL)., Methods: Participants (n=22) of a single-arm trial conducted to evaluate the program were young adults, age 18 to 30 years, who self-identified as sexual and gender minority individuals and smoked at least one cigarette per day. All participants received access to the EQQUAL program. Participants completed web-based surveys at baseline and at a follow-up 2 months after enrollment. We verified self-reported smoking abstinence with biochemical testing; missing data were counted as smoking or using tobacco., Results: For young adults who logged in at least once (n=18), the mean number of log-ins was 5.5 (SD 3.6), mean number of sessions completed was 3.1 (SD 2.6), and 39% (7/18) completed all 6 sessions. Overall, 93% of participants (14/15) were satisfied with the EQQUAL program, 100% (15/15) found it easy to use, and 100% (15/15) said it helped them be clearer about how to quit. Abstinence from smoking or using tobacco was confirmed with biochemical testing for 23% of participants (5/22). Both quantitative and qualitative results suggested a positive overall response to the avatar guide, with areas for future improvement largely centered on the avatar's appearance and movements., Conclusions: Treatment acceptability of EQQUAL was very promising. The rate of abstinence, which was biochemically confirmed, was 3 times higher than that of the only other digital program to date that has targeted sexual and gender minority young adults and 6 to 13 times higher than those of nontargeted digital smoking interventions among sexual and gender minority young adults. Planned improvements for the next iteration of the program include making the avatar's movements more natural; offering multiple avatar guides with different on characteristics such as race, ethnicity, and gender identity from which to choose; and providing a support forum for users to connect anonymously with peers., (©Jaimee L Heffner, Noreen L Watson, Edit Serfozo, Megan M Kelly, Erin D Reilly, Daniella Kim, Kelsey Baker, N F N Scout, Maria Karekla. Originally published in JMIR Formative Research (https://formative.jmir.org), 30.07.2021.)

Objective: This study aimed to evaluate the efficacy and safety of varenicline, bupropion, and nicotine replacement therapy (NRT) among smokers with schizophrenia spectrum disorders in post hoc analyses of Evaluating Adverse Events in a Global Smoking Cessation Study data., Methods: Smokers with schizophrenia spectrum disorder (N=390) and without a psychiatric illness (control group, N=4,028) were randomly assigned to receive varenicline, bupropion, NRT patch, or placebo for 12 weeks. Outcomes included abstinence rates during treatment and follow-up, number needed to treat (NNT) for abstinence, incidence of neuropsychiatric adverse events (NPSAEs), and temporal relationship between NPSAEs and abstinence status., Results: Smokers with schizophrenia smoked more and had greater dependence and fewer prior trials of cessation pharmacotherapy at baseline. At each time point, smokers with schizophrenia assigned to varenicline had significantly greater odds of abstinence compared with their matched placebo group, with NNT comparable to the control group. Bupropion and NRT increased odds of abstinence; confidence intervals (CIs) included 1 for some comparisons, and NNT for smokers with schizophrenia was greater than for the control group. No treatment was associated with significantly more NPSAEs, compared with placebo, in either cohort. The estimated NPSAE rate was 5% (95% CI=3.0-7.7) for smokers with schizophrenia and 1% (95% CI=0.6-2.1) for the control group. Over one-third of NPSAEs occurred during partial or full abstinence, suggesting a multifactorial nature., Conclusions: For smokers with schizophrenia, varenicline led to significantly higher abstinence rates, and NNT was comparable to the control group. A significant proportion of NPSAEs occurred during early abstinence. No treatment significantly increased NPSAE prevalence.

Introduction: Sexual and gender minority (SGM) individuals have higher tobacco use prevalence and consequently higher burden of tobacco-caused diseases, including cancer and cardiovascular disease compared with their heterosexual or cisgender counterparts. Yet, there is a critical gap in research focused on measuring SGM tobacco-related health disparities and addressing unmet needs of SGM individuals in the context of nicotine and tobacco research., Aims and Methods: In this commentary, we summarize recommendations discussed during a pre-conference workshop focused on challenges and opportunities in conducting SGM tobacco control research at the 2019 Society for Research on Nicotine and Tobacco Annual Meeting., Results: Specifically, we recommend defining and measuring SGM identity in all nicotine and tobacco research routinely, using novel methods to engage a demographically diverse sample of the SGM population, and eliciting SGM community voices in tobacco control research., Conclusions: Addressing these critical research gaps will enable the scientific community to generate the data to fully understand and support SGM individuals in tobacco use prevention and cessation., Implications: Tobacco use and its consequences have become increasingly concentrated in disadvantaged groups, including sexual and gender minority (SGM) populations. Through concrete recommendations in this commentary, we aimed to promote health equity, diversity, and inclusion in tobacco research for SGM populations by urging the scientific community to consider expanding efforts to monitor and address tobacco-related health disparities of SGM populations within their respective research programs., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.For permissions, please e-mail: journals.permissions@oup.com.)

Importance: Smoking is a leading cause of premature death globally. Smartphone applications for smoking cessation are ubiquitous and address barriers to accessing traditional treatments, yet there is limited evidence for their efficacy., Objective: To determine the efficacy of a smartphone application for smoking cessation based on acceptance and commitment therapy (ACT) vs a National Cancer Institute smoking cessation application based on US clinical practice guidelines (USCPG)., Design, Setting, and Participants: A 2-group, stratified, double-blind, individually randomized clinical trial was conducted from May 27, 2017, to September 28, 2018, among 2415 adult cigarette smokers (n = 1214 for the ACT-based smoking cessation application group and n = 1201 for the USCPG-based smoking cessation application group) with 3-, 6-, and 12-month postrandomization follow-up. The study was prespecified in the trial protocol. Follow-up data collection started on August 26, 2017, and ended at the last randomized participant's 12-month follow-up survey on December 23, 2019. Data were analyzed from February 25 to April 3, 2020. The primary analysis was performed on a complete-case basis, with intent-to-treat missing as smoking and multiple imputation sensitivity analyses., Interventions: iCanQuit, an ACT-based smoking cessation application, which taught acceptance of smoking triggers, and the National Cancer Institute QuitGuide, a USCPG-based smoking cessation application, which taught avoidance of smoking triggers., Main Outcomes and Measures: The primary outcome was self-reported 30-day point prevalence abstinence (PPA) at 12 months after randomization. Secondary outcomes were 7-day PPA at 12 months after randomization, prolonged abstinence, 30-day and 7-day PPA at 3 and 6 months after randomization, missing data imputed with multiple imputation or coded as smoking, and cessation of all tobacco products (including e-cigarettes) at 12 months after randomization., Results: Participants were 2415 adult cigarette smokers (1700 women [70.4%]; 1666 White individuals [69.0%] and 868 racial/ethnic minorities [35.9%]; mean [SD] age at enrollment, 38.2 [10.9] years) from all 50 US states. The 3-month follow-up data retention rate was 86.7% (2093), the 6-month retention rate was 88.4% (2136), and the 12-month retention rate was 87.2% (2107). For the primary outcome of 30-day PPA at the 12-month follow-up, iCanQuit participants had 1.49 times higher odds of quitting smoking compared with QuitGuide participants (28.2% [293 of 1040] vs 21.1% [225 of 1067]; odds ratio [OR], 1.49; 95% CI, 1.22-1.83; P < .001). Effect sizes were very similar and statistically significant for 7-day PPA at the 12-month follow-up (OR, 1.35; 95% CI, 1.12-1.63; P = .002), prolonged abstinence at the 12-month follow-up (OR, 2.00; 95% CI, 1.45-2.76; P < .001), abstinence from all tobacco products (including e-cigarettes) at the 12-month follow-up (OR, 1.60; 95% CI, 1.28-1.99; P < .001), 30-day PPA at 3-month follow-up (OR, 2.20; 95% CI, 1.68-2.89; P < .001), 30-day PPA at 6-month follow-up (OR, 2.03; 95% CI, 1.63-2.54; P < .001), 7-day PPA at 3-month follow-up (OR, 2.04; 95% CI, 1.64-2.54; P < .001), and 7-day PPA at 6-month follow-up (OR, 1.73; 95% CI, 1.42-2.10; P < .001)., Conclusions and Relevance: This trial provides evidence that, compared with a USCPG-based smartphone application, an ACT-based smartphone application was more efficacious for quitting cigarette smoking and thus can be an impactful treatment option., Trial Registration: ClinicalTrials.gov Identifier: NCT02724462.

Introduction: Affective disorders and symptoms (ADS) are predictive of lower odds of quitting smoking. However, it is unknown which approach to assessing ADS best predicts cessation. This study compared a battery of ADS screening instruments with a single, self-report question on predicting cessation. Among those who self-reported ADS, we also examined if an additional question regarding whether participants believed the condition(s) might interfere with their ability to quit added predictive utility to the single-item question., Methods: Participants (N = 2637) enrolled in a randomized controlled trial of web-based smoking treatments completed a battery of five ADS screening instruments and answered a single-item question about having ADS. Those with a positive self-report on the single-item question were also asked about their interference beliefs. The primary outcome was complete-case, self-reported 30-day point prevalence abstinence at 12 months., Results: Both assessment approaches significantly predicted cessation. Screening positive for ≥ one ADS in the battery was associated with 23% lower odds of quitting than not screening positive for any (p = .023); those with a positive self-report on the single-item had 39% lower odds of quitting than self-reporting no mental health conditions (p < .001). Area under the receiver operating characteristic curve values for the two assessment approaches were similar (p = .136). Adding the interference belief question to the single-item assessment significantly increased the area under the receiver operating characteristic curve value (p = .042)., Conclusions: The single-item question assessing ADS had as much predictive validity, and possibly more, than the battery of screening instruments for identifying participants at risk for failing to quit smoking. Adding a question about interference beliefs significantly increased the predictive utility of the single-item question., Implications: This is the first study to demonstrate that a single-item question assessing ADS has at least as much predictive validity, and possibly more, than a battery of validated screening instruments for identifying smokers at highest risk for cessation failure. This study also demonstrates adding a question about interference beliefs significantly adds to the predictive utility of a single, self-report question about mental health conditions. Findings from this study can be used to inform decisions regarding how to assess ADS in the context of tobacco treatment settings., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Lung cancer screening (LCS) is now recommended for people at high risk of dying of lung cancer., Research Question: The purpose of this study was to use the LCS decision discussion as a case study to understand possible underlying components of a teachable moment to enhance motivation for smoking cessation., Study Design and Methods: The study investigated how patients and clinicians communicate about smoking. In-depth, semi-structured interviews were performed of the experiences of 51 individuals who formerly or currently smoked who were offered LCS and 24 clinicians. Only the baseline interviews were used because including the follow-up interviews would have been beyond the scope of this article. The interviews focused on communication about smoking, the perceived importance of discussing smoking and screening together, and patients' perceived challenges to smoking cessation., Results: Patients and clinicians differed in their views on the role of the LCS decision discussion as a teachable moment. Although clinicians felt that this discussion was a good opportunity to positively influence smoking behaviors, neither patients nor clinicians perceived the discussion as a teachable moment affecting smoking behaviors. Other motivating factors for smoking cessation were found., Interpretation: Our findings indicate that LCS decision discussions are not currently a teachable moment for behavior change in smoking cessation, but perhaps clinicians could address other aspects of communication to enhance motivation for cessation. Our hypothesized teachable moment model helps explain that there may not be sufficient emotional response elicited during the discussion to motivate a major behavior change such as smoking cessation., (Published by Elsevier Inc.)

Background: The majority of cigarette smokers want to quit someday but are not ready to commit to long-term abstinence. However, available smoking cessation treatments are not well-suited to meet the needs of these ambivalent smokers. Low-cost, high-reach mobile health (mHealth) interventions may be a cost-efficient means of offering assistance to ambivalent smokers, yet there are currently no evidence-based options available for this group., Objective: The aim of this study was to develop and preliminarily evaluate the core content for an mHealth program targeting adult smokers who are ambivalent about quitting. The core content consisted of a series of "personal experiments" similar to those tested as part of a counseling intervention in prior work, including brief cognitive or behavioral tasks designed to boost readiness for changing smoking behavior., Methods: We conducted individual user interviews (N=3) to refine program content, and then conducted a one-arm pilot study (N=25) to assess user receptivity and the potential impact of the experiments on motivation and self-efficacy to quit or reduce smoking., Results: In user interviews, participants liked the concept of the personal experiments. Participants in the pilot study found a medium-fidelity prototype to be highly acceptable. After watching a brief orientation video that explained how the program works, most participants (80%, 20/25) indicated that it sounded interesting, primarily because it did not require any commitment to quit. All participants (100%, 25/25) completed all 7 experiments, including a 24-hour quit attempt, although not all were able to refrain from smoking for a full day based on qualitative feedback on the experiment. The mean rating of usefulness of the overall program was 4.12 (SD 1.09) out of 5, and the average rating of the difficulty of the experiments was 2.16 (SD 1.18) out of 5. At the last assessment point, 92% (23/25) of the participants indicated that they were more interested in either quitting or cutting back than when they began the program, and 72% (18/25) said that if the program had included a free trial of nicotine replacement therapy, they would have used it to try to quit smoking., Conclusions: This formative work confirmed that ambivalent smokers are willing to use and will remain engaged with an mHealth intervention that employs the novel concept of personal experiments to enhance their motivation for and ability to quit smoking. The addition of action-oriented treatment (self-help and free nicotine replacement therapy, quitline referral) could further support users' efforts to stop smoking and remain quit., (©Jaimee L Heffner, Sheryl L Catz, Predrag Klasnja, Brooks Tiffany, Jennifer B McClure. Originally published in JMIR Formative Research (http://formative.jmir.org), 27.08.2020.)

Introduction: Smokers with bipolar disorder (BD) are less successful at quitting than the general population. In this study, we evaluated in a pilot randomized controlled trial a novel, targeted, web-based intervention for smokers with BD based on acceptance and commitment therapy (ACT) and designed for reach and disseminability., Aims and Methods: Daily smokers (n = 51) with bipolar I or II disorder were recruited from four US sites and randomly assigned to one of two web-based smoking cessation interventions-ACT-based WebQuit Plus (n = 25) or Smokefree.gov (n = 26) over a 10-week treatment period. All participants received nicotine patch for 8 weeks. Key outcomes were trial design feasibility, intervention acceptability, and cessation at end of treatment and 1-month follow-up., Results: We screened 119 to enroll 51 participants (target sample size = 60) over 24 months. The most common reason for ineligibility was the inability to attend study appointments. Retention was 73% at end of treatment and 80% at follow-up, with no differences by arm. The mean number of logins was twice as high for WebQuit Plus (10.3 vs. 5.3). The usefulness of program skills was rated higher for WebQuit Plus (75% vs. 29%). Biochemically confirmed, 7-day abstinence at end of treatment was 12% in WebQuit Plus versus 8% in Smokefree.gov (odds ratio = 1.46, 95% confidence interval = 0.21 to 9.97). At follow-up, abstinence rates were 8% in both arms., Conclusions: Trial design produced favorable retention rates, although alternative recruitment methods will be needed for a larger trial. At end of treatment, acceptability and estimated effect size of WebQuit Plus relative to Smokefree.gov were promising and support continued program refinement and evaluation., Implications: In this first randomized controlled trial of a targeted intervention for smokers with BD, we found that the ACT-based WebQuit Plus intervention, delivered in combination with the nicotine patch, had promising acceptability and cessation outcomes relative to Smokefree.gov. The observed signals for acceptability and cessation suggest that the WebQuit Plus program should be refined based on participant feedback and evaluated in a larger trial. Feasibility findings from this study also provide direction for refining trial procedures to enhance the recruitment of smokers with BD., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Despite greater smoking prevalence among sexual minority (SM) individuals relative to non-SM individuals, minimal research has examined whether SM smokers have differential success at quitting, and no prior treatment studies have examined differences within SM subgroups. There is also limited knowledge of the psychosocial characteristics of treatment-seeking SM smokers, which could inform targeted treatments. To address these gaps, we compared treatment outcomes and baseline characteristics for SM and non-SM smokers and for bisexual versus lesbian or gay smokers in a large randomized controlled trial of two web-based cessation treatments., Methods: Trial participants completed a survey to assess baseline characteristics, including self-identification as either SM (n = 253; lesbian or gay, n = 122; bisexual, n = 131) or non-SM (n = 2384). The primary cessation outcome was complete-case, self-reported 30-day abstinence at 12 months after randomization., Results: Cessation outcomes did not differ significantly for SM versus non-SM smokers (24% vs. 25%, adjusted OR = 0.91, 95% CI = 0.65 to 1.28) or across SM subgroups (24% for bisexual vs. 23% for lesbian or gay, adjusted OR = 1.01, 95% CI = 0.51 to 2.00), and there were no interactions with treatment group assignment. At baseline, SM smokers differed from non-SM smokers on most demographics, were more likely to screen positive for all mental health conditions assessed, and had greater exposure to other smokers in the home., Conclusions: Substantial differences in baseline characteristics of SM versus non-SM smokers and bisexual versus lesbian or gay smokers did not translate into differential treatment outcomes. Nonetheless, SM smokers' willingness or ability to quit smoking could be enhanced by taking their unique psychosocial profile into account when designing targeted interventions., Implications: The findings of this study, which included the largest sample of SM smokers in a prospective intervention trial to date, support those of a small extant body of literature showing no differences in treatment-assisted cessation outcomes between SM and non-SM smokers. Regardless of their quit rates relative to non-SM smokers, SM smokers' willingness or ability to quit smoking could potentially be enhanced by taking their unique psychosocial profile into account in intervention design, including their younger age, lower socioeconomic status, greater likelihood of being racial or ethnic minorities, and greater prevalence of mental health symptoms., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Preliminary trial data suggest group-delivered acceptance and commitment therapy (ACT) might be effective for smoking cessation. If so, this could offer a viable alternative to mainstream behavioral therapies, such as those grounded in cognitive behavioral therapy (CBT). The goal of the current study was to compare the effectiveness of group-delivered ACT versus group-delivered CBT in a rigorous randomized trial design with long-term follow-up., Methods: Participants (n = 450) were recruited from the Kaiser Permanente Washington health care system and randomized to either ACT-based group counseling or an attention-matched CBT-based group program. All were prescribed an 8-week course of nicotine patches. The primary outcome was self-reported 30-day point prevalence abstinence at 12 months post-randomization assessed with missing values imputed as smoking. Sensitivity analyses using multiple imputation and complete cases were examined, as were biochemically confirmed and 6-month outcomes., Results: Thirty-day point prevalence abstinence rates at the 12-month follow-up did not differ between study arms in the primary analysis (13.8% ACT vs. 18.1% CBT, adjusted odds ratio = 0.68 [95% CI = 0.35 to 1.27], p = .23) or the sensitivity analyses., Conclusions: Group-based ACT and CBT had similar long-term quit rates in this methodologically rigorous randomized trial. Group-based ACT is a reasonable alternative to group-based CBT for smoking cessation., Implications: This study compared the effectiveness of group-based ACT with group-based CBT for smoking cessation using a rigorous, large-scale, attention-matched, randomized trial with 1-year follow-up. One-year cessation rates did not differ between group-based ACT and CBT, suggesting ACT-based intervention is a reasonable alternative to CBT-based counseling for smoking cessation. The results add to the nascent but growing literature assessing ACT and other mindfulness-based treatments for smoking cessation., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. 
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Background: Smoking rates are high in adults with anxiety disorders (ADs), yet little is known about the safety and efficacy of smoking-cessation pharmacotherapies in this group., Methods: Post hoc analyses in 712 smokers with AD (posttraumatic stress disorder [PTSD], n = 192; generalized anxiety disorder [GAD], n = 243; panic disorder [PD], n = 277) and in a nonpsychiatric cohort (NPC; n = 4,028). Participants were randomly assigned to varenicline, bupropion, nicotine-replacement therapy (NRT), or placebo plus weekly smoking-cessation counseling for 12 weeks, with 12 weeks follow-up. General linear models were used to test the effects of treatment group, cohort, and their interaction on neuropsychiatric adverse events (NPSAEs), and continuous abstinence weeks 9-12 (treatment) and 9-24 (follow-up)., Results: NPSAE incidence for PTSD (6.9%), GAD (5.4%), and PD (6.2%) was higher versus NPC (2.1%), regardless of treatment. Across all treatments, smokers with PTSD (odds ratio [OR] = 0.58), GAD (OR = 0.72), and PD (OR = 0.53) had lower continuous abstinence rates weeks 9-12 (CAR9-12) versus NPC. Varenicline demonstrated superior efficacy to placebo in smokers with GAD and PD, respectively (OR = 4.53; 95% confidence interval [CI] = 1.20-17.10; and OR = 8.49; 95% CI = 1.57-45.78); NRT was superior to placebo in smokers with PD (OR = 7.42; 95% CI = 1.37-40.35). While there was no statistically significant effect of any treatment on CAR9-12 for smokers with PTSD, varenicline improved 7-day point prevalence abstinence at end of treatment in this subcohort., Conclusion: Individuals with ADs were more likely than those without psychiatric illness to experience moderate to severe NPSAEs during smoking-cessation attempts, regardless of treatment. While the study was not powered to evaluate abstinence outcomes with these subgroups of smokers with ADs, varenicline provided significant benefit for cessation in those with GAD and PD, while NRT provided significant benefit for those with PD., (© 2019 The Authors. Depression and Anxiety Published by Wiley Periodicals, Inc.)

Background: Persistent smoking after a cancer diagnosis predicts worse treatment outcomes and mortality, but access to effective smoking cessation interventions is limited. Smartphone apps can address this problem by providing a highly accessible, low-cost smoking cessation intervention designed for patients with a recent cancer diagnosis., Objective: This study aimed to summarize our development process and report the trial design, feasibility, participant acceptability, preliminary effectiveness, and impact on processes of change (eg, cancer stigma) of the first-known smoking cessation smartphone app targeted for cancer patients., Methods: We used an agile, user-centered design framework to develop a fully automated smartphone app called Quit2Heal that provided skills training and stories from cancer survivors focusing on coping with internalized shame, cancer stigma, depression, and anxiety as core triggers of smoking. Quit2Heal was compared with the National Cancer Institute's QuitGuide, a widely used stop smoking app for the general population, in a pilot double-blinded randomized trial with a 2-month follow-up period. Participants were 59 adult smokers diagnosed with cancer within the past 12 months and recruited through 2 cancer center care networks and social media over a 12-month period. The most common types of cancer diagnosed were lung (21/59, 36%) and breast (10/59, 17%) cancers. The 2-month follow-up survey retention rate was 92% (54/59) and did not differ by study arm (P=.15)., Results: Compared with QuitGuide participants, Quit2Heal participants were more satisfied with their assigned app (90% [19/21] for Quit2Heal vs 65% [17/26] for QuitGuide; P=.047) and were more likely to report that the app assigned to them was made for someone like them (86% [18/21] for Quit2Heal vs 62% [16/26] for QuitGuide; P=.04). Quit2Heal participants opened their app a greater number of times during the 2-month trial period, although this difference was not statistically significant (mean 10.0, SD 14.40 for Quit2Heal vs mean 6.1, SD 5.3 for QuitGuide; P=.33). Self-reported 30-day point prevalence quit rates at the 2-month follow-up were 20% (5/25) for Quit2Heal versus 7% (2/29) for QuitGuide (odds ratio 5.16, 95% CI 0.71-37.29; P=.10). Quit2Heal participants also showed greater improvement in internalized shame, cancer stigma, depression, and anxiety, although these were not statistically significant (all P>.05)., Conclusions: In a pilot randomized trial with a high short-term retention rate, Quit2Heal showed promising acceptability and effectiveness for helping cancer patients stop smoking. Testing in a full-scale randomized controlled trial with a longer follow-up period and a larger sample size is required to test the effectiveness, mediators, and moderators of this promising digital cessation intervention., Trial Registration: ClinicalTrials.gov NCT03600038; https://clinicaltrials.gov/ct2/show/NCT03600038., (©Jonathan B Bricker, Noreen L Watson, Jaimee L Heffner, Brianna Sullivan, Kristin Mull, Diana Kwon, Johann Lee Westmaas, Jamie Ostroff. Originally published in JMIR Formative Research (http://formative.jmir.org), 17.01.2020.)

We sought to qualitatively explore how those at highest risk for lung cancer, current smokers, experienced, understood, and made decisions about participation in lung cancer screening (LCS) after being offered in the target setting for implementation, routine primary care visits. Thirty-seven current smokers were identified within 4 weeks of being offered LCS at seven sites participating in the Veterans Health Administration Clinical Demonstration Project and interviewed via telephone using semi-structured qualitative interviews. Transcripts were coded by two raters and analyzed thematically using iterative inductive content analysis. Five challenges to smokers' decision-making lead to overestimated benefits and minimized risks of LCS: fear of lung cancer fixated focus on inflated screening benefits; shame, regret, and low self-esteem stemming from continued smoking situated screening as less averse and more beneficial; screening was mistakenly believed to provide general evaluation of lungs and reassurance was sought about potential damage caused by smoking; decision-making was deferred to providers; and indifference about numerical educational information that was poorly understood. Biased understanding of risks and benefits was complicated by emotion-driven, uninformed decision-making. Emotional and cognitive biases may interfere with educating and supporting smokers' decision-making and may require interventions tailored for their unique needs.

Background: The integration of Behavioral Activation Treatment for Depression (BAT-D) into smoking cessation interventions is a promising approach to address depression as a barrier to quitting. However, this approach has only been tested as a face-to-face intervention, which has low reach., Objective: The aims of the study were to develop a BAT-D mobile health app with high potential reach and determine its feasibility, acceptability, and preliminary effects on theory-based behavioral processes of behavioral activation, reduced depressive symptoms, and smoking cessation., Methods: Following a user-centered design process consisting of competitive analysis, focus groups, and prototype testing, we conducted a single-arm pilot trial of Actify!, a BAT-D app for depressed smokers. Participants used SmokefreeTXT along with Actify! to provide cessation content that had not yet been built into the app for this initial phase of pilot testing. Participants in the trial were current, daily smokers with mild to moderate depressive symptoms. We examined use outcomes for all enrolled participants and process and cessation outcomes at 6 weeks postenrollment for study completers (16/17, 94% retention)., Results: Regarding acceptability, average number of log-ins per participant was 16.6 (SD 13.7), and 63% (10/16) reported being satisfied overall with the app. Posttreatment interviews identified some usability challenges (eg, high perceived burden of planning and scheduling values-based activities). There was a significant decrease in depressive symptoms from baseline to follow-up (mean change in Patient Health Questionnaire-9 scores was -4.5, 95% CI -7.7 to -1.3; P=.01). Additionally, carbon monoxide (CO)-confirmed, 7-day point prevalence abstinence (PPA) at 6-week follow-up was 31% (5/16), and the 30-day PPA was 19% (3/16)., Conclusions: Results demonstrate promising engagement with Actify! and potential for impact on theory-based change processes and cessation outcomes. Preliminary quit rates compare favorably to previous trials of smoking cessation apps for the general population (ie, short-term, self-reported 30-day quit rates in the 8% to 18% range) and a previous trial of face-to-face BAT-D for depressed smokers (ie, CO-confirmed, 7-day PPA rate of 17% at end of treatment)., (©Jaimee L Heffner, Noreen L Watson, Edit Serfozo, Kristin E Mull, Laura MacPherson, Melissa Gasser, Jonathan B Bricker. Originally published in JMIR Formative Research (http://formative.jmir.org), 27.11.2019.)

Objectives: Post hoc analyses of EAGLES data to examine safety and efficacy of first-line smoking cessation pharmacotherapies in smokers with bipolar disorders (BD)., Methods: Smokers with BD I/II (n = 285; 81.4% with BD I) and a comparison nonpsychiatric cohort (NPC; n = 2794) were randomly assigned to varenicline, bupropion, nicotine replacement therapy (NRT), or placebo for 12 weeks, plus weekly counseling. Primary outcomes were occurrence of moderate to severe neuropsychiatric adverse events (NPSAEs) and Weeks 9-12 biochemically-confirmed continuous abstinence (CA) rates., Results: For BD smokers, NPSAE risk differences versus placebo were: varenicline, 6.17 (95% CI: -7.84 to 20.18); bupropion, 4.09 (-8.82 to 16.99); NRT, -0.56 (-12.34 to 11.22). ORs for Weeks 9-12 CA, comparing active medication to placebo among BD smokers were: varenicline, 2.61 (0.68-9.95); bupropion, 1.29 (0.31-5.37), NRT, 0.71 (0.14-3.74). Pooling across treatments, NPSAE occurrence was higher (10.7% versus 2.3%; P < 0.001) and CA rates were lower (22.8% versus 13.3%; P = 0.008) in BD than NPC., Limitations: Study not powered to detect differences in safety and efficacy in the BD subcohort; generalizability limited to stably treated BD without current substance use disorders., Conclusions: Smokers with BD had higher risk of NPSAEs and were less likely to quit overall than NPC smokers. Among smokers with BD, NPSAE risk difference estimates for active treatments versus placebo ranged from 1% lower to 6% higher. Efficacy of varenicline in smokers with BD was similar to EAGLES main outcomes; bupropion and NRT effect sizes were descriptively lower. Varenicline may be a tolerable and effective cessation treatment for smokers with BD., Trial Registration: ClinicalTrials.gov identifier (https://clinicaltrials.gov/): NCT01456936., (Copyright © 2019. Published by Elsevier B.V.)

Background: Web-based cessation programs are now common for intervening with smokers. However, it remains unclear how acceptable or effective these interventions are among people with affective disorders and symptoms (ADS; eg, depression and anxiety). Research examining this is extremely limited, with mixed results on cessation rates. Additional large studies are needed to more fully understand whether Web-based interventions are similarly used and equally effective among people with and without affective disorder symptomology. If not, more targeted Web-based interventions may be required., Objective: The goal of the research was to compare Web-based treatment acceptability (defined by satisfaction and use) and 12-month cessation outcomes between smokers with and without ADS., Methods: Participants (N=2512) were adult smokers enrolled in a randomized, comparative effectiveness trial of two Web-based smoking interventions designed for the general population of smokers. At baseline, participants reported demographic and smoking characteristics and completed measures assessing ADS. Participants were then classified into subgroups based on their self-reported ADS-either into a no ADS group or into six nonmutually exclusive subgroups: depression, posttraumatic stress disorder (PTSD), panic disorder (PD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), and more than one ADS. Surveys at 12 months postrandomization included subjective ratings of treatment acceptability and self-reported smoking cessation. Treatment use (ie, number of log-ins and total duration of exposure) was assessed via automated records., Results: Relative to the no ADS group, all six ADS subgroups reported significantly greater satisfaction with their assigned Web treatment program, but they spent less time logged in than those with no ADS. For number of log-ins, a treatment arm by ADS group interaction was observed across all ADS subgroups except GAD, suggesting that relative to the no ADS group, they logged in less to one website but not the other. At the 12-month follow-up, abstinence rates in the no ADS group (153/520, 29.42%) were significantly higher than for participants who screened positive for depression (306/1267, 24.15%; P=.03), PTSD (294/1215, 24.19%; P=.03), PD (229/1003, 23.83%; P=.009), and two or more ADS (323/1332, 24.25%; P=.03). Post hoc analyses suggest the lower quit rates may be associated with differences in baseline nicotine dependence and levels of commitment to resist smoking in difficult situations. Website use did not explain the differential abstinence rates., Conclusions: Despite reporting higher levels of treatment satisfaction, most smokers with ADS used their assigned intervention less often and had lower quit rates than smokers with no ADS at treatment onset. The results support the need for developing more targeted interventions for smokers with ADS., Trial Registration: Clinical Trials.gov NCT01812278; https://clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/78L9cNdG4)., (©Noreen L Watson, Jaimee L Heffner, Kristin E Mull, Jennifer B McClure, Jonathan B Bricker. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.06.2019.)

Background: Lay belief systems about the malleability of human attributes have been shown to impact behavior change in multiple domains. Addiction mindset-i.e., beliefs about the permanence (vs. malleability) of addiction - may affect cigarette smokers' ability to quit, but this has never been examined., Objectives: The aims of the present research were to develop a measure of addiction mindset (study 1) and examine its associations with various psychological aspects of quitting smoking (study 2)., Methods: In Study 1, using factor analysis of current smokers' and nonsmokers' (n = 600) responses to 22 items designed to measure addiction mindset, we developed a reliable six-item Addiction Mindset Scale (AMS). In Study 2, adult smokers (n = 200) completed the AMS, and measures of a number of psychological processes related to smoking., Results: Higher scores on the AMS, indicative of the belief that addiction is malleable (referred to as a growth mindset), were positively and significantly associated with greater motivation to quit, greater commitment to quitting, greater self-efficacy to abstain, less attribution of failure to lack of ability to change addiction, and fewer self-reported barriers to cessation (all p's < .05)., Conclusions: The results of this study show a relationship between the beliefs about the permanence of addiction and psychological processes relevant to quitting smoking. The findings underscore the potential of future research exploring how addiction mindsets relate to successful smoking cessation as well as other types of addictive behavior and how they can be applied to change people's behavior.

Background: The extent to which smokers with bipolar disorder (BD) differ from other smokers on cessation-related characteristics and outcomes is unknown and could improve knowledge of treatment needs for this group. These analyses compared smokers with BD versus smokers with other affective disorders (ADs; anxiety and unipolar depression) and smokers with no mental health conditions (MHCs)., Method: Participants (n = 2570) were a subsample of those enrolled in a smoking cessation trial comparing two web-delivered intervention approaches: acceptance and commitment therapy (ACT) and cognitive behavioral therapy. Those included in this analysis self-reported having BD (n = 221), other ADs (n = 783) or no major MHCs (n = 1566). Surveys assessed baseline characteristics and self-reported abstinence at 3, 6, and 12-months post-randomization. Treatment utilization was tracked via page views., Results: Smokers with BD were distinct from both AD and no MHC smokers on the majority of baseline characteristics. At 12-months, quit rates were lower for smokers with BD (20%) than no MHCs (29%; p = 0.01), but no different than other ADs (20%; p =  .467). Interactions between treatment assignment and diagnostic group were non-significant for cessation outcome. The number of logins was higher for smokers with BD than AD in the ACT arm only (p = .001), but this finding was not replicated across other utilization indicators., Conclusions: Smokers with BD and other ADs had similar long-term quit rates despite numerous differences in baseline characteristics. Despite being lower than for smokers without MHCs, long-term quit rates from web-based treatment are promising for smokers with BD as well as other ADs., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Introduction: Adults with alcohol dependence (AD) have exceptionally high smoking rates and poor smoking cessation outcomes. Discovery of factors that predict reduced smoking among AD smokers may help improve treatment. This study examined baseline predictors of smoking quantity among AD smokers in a pharmacotherapy trial for smoking cessation., Methods: The sample includes male, AD smokers (N = 129) with 1-32 months of alcohol abstinence who participated in a 12-week trial of medication (topiramate vs. placebo) and adjunct counseling with 6 months of follow-up. Baseline measures of nicotine dependence, AD severity, psychopathology, motivation to quit smoking, and smoking-related cognitions were used to predict smoking quantity (cigarettes per day) at post-treatment and follow-up., Results: Overall, the sample had statistically significant reductions in smoking quantity. Greater nicotine dependence (Incidence rate ratios (IRRs) = 0.82-0.90), motivation to quit (IRRs = 0.65-0.85), and intrinsic reasons for quitting (IRRs = 0.96-0.98) predicted fewer cigarettes/day. Conversely, greater lifetime AD severity (IRR = 1.02), depression severity (IRRs = 1.05-1.07), impulsivity (IRRs = 1.01-1.03), weight-control expectancies (IRRs = 1.10-1.15), and childhood sexual abuse (IRRs = 1.03-1.07) predicted more cigarettes/day., Conclusions: Smokers with AD can achieve large reductions in smoking quantity during treatment, and factors that predict smoking outcomes in the general population also predict greater smoking reductions in AD smokers. Treatment providers can use severity of nicotine dependence and AD, motivation to quit, smoking-related cognitions, and severity of depression to guide treatment and improve outcomes among AD smokers., (Published by Elsevier Ltd.)

Background: Despite having many advantages, online eHealth trials are not without challenges-notably, participant recruitment, and outcome data retention. Moreover, publications from these trials rarely provide detailed information on the methods used for recruitment and retention or discuss implications of the methods for future studies., Objective: To address this need for empirical guidance regarding recruitment and outcome data retention planning, we aim to describe the methods and lessons learned from the recruitment and retention procedures used in a large randomized trial of 2 Web-based smoking cessation interventions., Methods: To ensure a demographically and geographically diverse participant sample, we used the recruitment strategies (1) traditional, (2) Web-based, and (3) online survey panel methods and adaptively modified each in response to recruitment success. At baseline, participants indicated how they heard about the study and answered demographic questions. To maximize trial retention at each of the 3-, 6-, and 12-month assessment points, 4 survey modalities (first Web, followed by phone, mail, and postcard) were sequentially timed over a 30-day period. Participants received US $25 for submitting their responses, regardless of modality, and received an additional US $10 bonus for completing the Web survey within 24h of electronic notification., Results: We randomized 2637 smokers in 16 months and achieved 88% retention at 12-months. Participants (79.26% female, 72.60% Caucasian) were recruited from all 50 states. The majority of participants were recruited through Facebook (49.43%), followed by the survey panel (20.85%), free internet sources (14.54%), traditional media (11.34%), and Google ads (3.84%). Descriptively, participant demographics varied by recruitment source. Of the completed follow-up surveys, most were completed by Web (92%). Retention rates did not vary by recruitment source., Conclusions: Continuous monitoring and refinement of multiple recruitment methods, particularly of online advertising campaigns, allowed us to maximize the effectiveness of recruitment strategies in recruiting a large, diverse sample of smokers. Likewise, offering multiple follow-up survey modalities in sequential order along with time-dependent bonus incentives enabled us to obtain outcome data from a very high level of enrolled participants for the duration of the trial protocol. These strategies may be similarly useful in other trials., Trial Registration: ClinicalTrials.gov NCT01812278; https://clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/71gy5GLvO)., (©Noreen L Watson, Kristin E Mull, Jaimee L Heffner, Jennifer B McClure, Jonathan B Bricker. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.08.2018.)

Women and men differ in their risk for developing stress-related conditions such as alcohol use and anxiety disorders and there are gender differences in the typical sequence in which these disorders co-occur. However, the neural systems underlying these gender-biased psychopathologies and clinical course modifiers in humans are poorly understood and may involve both central and peripheral mechanisms regulating the limbic-hypothalamic-pituitary-adrenal axis. In the present randomized, double blind, placebo-controlled, triple-dummy crossover study, we juxtaposed a centrally-acting, citalopram (2 mg/unit BMI) neuroendocrine stimulation test with a peripherally-acting, dexamethasone (Dex) (1.5 mg)/corticotropin-releasing factor (CRF) (1 μg/kg) test in euthymic women (N = 38) and men (N = 44) with (54%) and without histories of alcohol dependence to determine whether sex, alcohol dependence or both influenced the adrenocorticotropic hormone (ACTH) and cortisol responses to the pharmacological challenges and to identify the loci of these effects. We found that central serotonergic mechanisms, along with differences in pituitary and adrenal sensitivity, mediated sexually-diergic ACTH and cortisol responses in a stressor-specific manner regardless of a personal history of alcohol dependence. Specifically, women exhibited a greater response to the Dex/CRF test than they did the citalopram test while men exhibited the opposite pattern of results. Women also had more robust ACTH, cortisol and body temperature responses to Dex/CRF than men, and exhibited a shift in their adrenal glands' sensitivity to ACTH as measured by the cortisol/log (ACTH) ratio during that session in contrast to the other test days. Our findings indicate that central serotonergic and peripheral mechanisms both play roles in mediating sexually dimorphic, stressor-specific endocrine responses in humans regardless of alcohol dependence history., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Background: Prior studies have suggested that, among the domains of depressive symptoms, low positive affect (PA) may have a distinct relationship with smoking cessation and relapse. However, the empirical basis for PA-focused interventions cessation is limited, with some mixed findings., Objectives: Using a large, diverse sample of treatment-seeking smokers, this study tested the hypothesis that PA adds unique predictive value beyond the effects of the other symptom domains in models of cessation and relapse., Methods: Adult smokers participating in a smoking cessation trial (n = 450) were included in this post hoc analysis. Cessation outcomes included smoking abstinence at end of treatment and at 6-month follow-up. Relapse was defined as recurrence of smoking at 6-month follow-up among the end-of-treatment abstainers. Depressive symptoms were assessed at baseline using the Center for Epidemiologic Studies-Depression (CES-D) scale., Results: With the exception of PA, all of the CES-D domains predicted reduced likelihood of smoking abstinence at end of treatment and cotinine-confirmed (but not self-reported) abstinence at 6 months, as did total CES-D score (all p-values < .05). None of the symptom domains predicted relapse. Conclusions/Importance: Our results provide further evidence that current depressive symptoms predict worse cessation outcomes, but they fail to support recent work suggesting that low PA has incremental predictive value for cessation or relapse beyond the other depressive symptom domains. To improve quit rates for smokers with depressive symptoms, evidence-based mood management interventions should be included in treatment planning.

Background and Aims: Millions of people world-wide use websites to help them quit smoking, but effectiveness trials have an average 34% follow-up data retention rate and an average 9% quit rate. We compared the quit rates of a website using a new behavioral approach called Acceptance and Commitment Therapy (ACT; WebQuit.org) with the current standard of the National Cancer Institute's (NCI) Smokefree.gov website., Design: A two-arm stratified double-blind individually randomized trial (n = 1319 for WebQuit; n = 1318 for Smokefree.gov) with 12-month follow-up., Setting: United States., Participants: Adults (n = 2637) who currently smoked at least five cigarettes per day were recruited from March 2014 to August 2015. At baseline, participants were mean [standard deviation (SD)] age 46.2 years (13.4), 79% women and 73% white., Interventions: WebQuit.org website (experimental) provided ACT for smoking cessation; Smokefree.gov website (comparison) followed US Clinical Practice Guidelines for smoking cessation., Measurements: The primary outcome was self-reported 30-day point prevalence abstinence at 12 months., Findings: The 12-month follow-up data retention rate was 88% (2309 of 2637). The 30-day point prevalence abstinence rates at the 12-month follow-up were 24% (278 of 1141) for WebQuit.org and 26% (305 of 1168) for Smokefree.gov [odds ratio (OR) = 0.91; 95% confidence interval (CI) = 0.76, 1.10; P = 0.334] in the a priori complete case analysis. Abstinence rates were 21% (278 of 1319) for WebQuit.org and 23% (305 of 1318) for Smokefree.gov (OR = 0.89 (0.74, 1.07; P = 0.200) when missing cases were imputed as smokers. The Bayes factor comparing the primary abstinence outcome was 0.17, indicating 'substantial' evidence of no difference between groups., Conclusions: WebQuit.org and Smokefree.gov had similar 30-day point prevalence abstinence rates at 12 months that were descriptively higher than those of prior published website-delivered interventions and telephone counselor-delivered interventions., (© 2017 Society for the Study of Addiction.)