Translation and cross-cultural adaptation of the Telemedicine Satisfaction Questionnaire for use in Brazil.

OBJECTIVE: To translate, cross-culturally adapt to Brazilian Portuguese, and evaluate the reliability of the Telemedicine Satisfaction Questionnaire (TSQ). METHODS: This cross-sectional study involved patients from the Smoking Prevention and Cessation Center (PrevFumo) who participated in at least four of the eight scheduled remote meetings with the PrevFumo psychologist in 2020, 2021, or 2022. Participants were contacted by telephone and asked to answer the 14 questions of the TSQ three times at intervals of 7 or 10 days. RESULTS: We assessed 53 patients (73.3% women). The mean age was 49.7 ± 10.2 years. The mean smoking history was 35.32 ± 24.8 pack-years. Of the 53 patients evaluated, 30.2% had completed high school or had some higher education, and 32.1% were classified as socioeconomic class B2 (A being the highest and E being the lowest). Forty-nine (92.5%) of the patients attended all eight meetings. The TSQ with only three answer options showed high reliability, with approximately 90% agreement after three applications. Patients were satisfied with telemedicine. CONCLUSIONS: The TSQ is rapidly applied, is easy to complete, and showed high reliability in our patient sample. Patients declared that they were satisfied with their telemedicine experience.

Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.

BACKGROUND: Mobile health apps can facilitate access to effective treatment and therapeutic information services. However, the real-world effectiveness of mobile apps for smoking cessation and their potential impact in everyday settings remain unclear. OBJECTIVE: In an ecological context, this study aimed to estimate the engagement rate of a mobile app-based smoking cessation preparation program and its potential impact on users' willingness, ability, and readiness to quit smoking. METHODS: A total of 2331 "organic users" (ie, users who discover and install a mobile app on their own, without any prompts) chose 1 of 2 program versions of the mobile app (Kwit): the basic version or the premium version. Both versions were identical in design, with 4 more evidence-based content items and strategies in the premium version. Outcomes were analyzed based on automated data registered in the app (engagement rate, motivation to quit, motivation type, motivation levels, and satisfaction level). Mann-Whitney and χ2 tests were used to compare the results of both groups. RESULTS: As expected, in the ecological context, a high dropout rate was observed at different moments. A significant difference was observed between the 2 versions (n=2331; χ21=5.4; P=.02), with a proportionally higher engagement rate in the premium version (premium=4.7% vs basic=2%). Likewise, differences were also observed between the 2 groups in terms of reasons to quit (n=2331; χ24=19; P≤.001; V=0.08), motivation type (n=2331; χ27=14.7; P=.04), and motivation level. Users of the app's premium version more frequently reported "well-being" (23.3% vs 17.9%) and "planning a pregnancy" (7.4% vs 4.4%) as their primary reasons for quitting smoking compared to those with the basic version. Moreover, they reported being more likely to be driven in the smoking cessation process by intrinsic motivation (premium=28% vs basic=20.4%), as well as feeling significantly more willing (z score=156,055; P≤.001; Cohen d=0.15), able (z score=172,905; P=.04; Cohen d=0.09), and ready (z score=166,390; P=.005; Cohen d=0.12) to stop smoking than users who had the basic version before completion of the preparation program. Among participants who finished each version of the program (premium: 9/189, 4.8%; basic: 47/2142, 2.19%), significant improvements in motivation levels were observed in both groups, although in different areas for each group (willingness levels for the premium group and ability for the basic group). CONCLUSIONS: These results suggest that even in ecological contexts where engagement rates are meager, the Kwit preparation program can address ambivalence by increasing willingness to change, self-confidence, and readiness to quit among its users, especially those who feel less able to do so. Further development and evaluations are needed to better understand determinants for regular mobile health apps.

Aachen smoking cessation and harm reduction (ASCHR) trial study protocol - scientific evaluation of a psychological-telemedical counseling concept for smoking cessation in patients with vascular diseases.

BACKGROUND: Smoking is a major risk factor of cardiovascular diseases, notably peripheral arterial disease (PAD). Despite this link, research on smoking cessation interventions in PAD patients remains scarce and inconclusive regarding the efficacy of such interventions. Therefore, elucidating it is crucial and should address both individuals who smoke that are motivated to quit and individuals who smoke heavily lacking the motivation to quit. METHODS/DESIGN: The Aachen Smoking Cessation and Harm Reduction (ASCHR) trial is a prospective randomized controlled study (RCT) on the benefits of telemedical-psychological support for smoking cessation in patients with PAD, funded by the "Innovation Fund" of the Joint Federal Committee in Germany. This trial aims to scientifically assess the efficacy, feasibility, acceptance, and efficiency of a multi-stage smoking cessation program based on the recommendations of the German guideline for smoking cessation tailored to patients with PAD, compared to a control group receiving no intervention. Central to the program is psychological counseling utilizing motivational interviewing techniques, delivered through telemedicine via video consultations. The primary endpoint of the ASCHR trial is the smoking cessation rate after 8 months of intervention, with a secondary endpoint evaluating sustained abstinence at a further 6 months follow-up. Smoking cessation is defined as a carbon monoxide level in exhaled air of less than 6 ppm. We hypothesize that the group receiving the multi-stage cessation program will yield a cessation rate at least 10 percentage points higher than that of usual care. Anticipating a dropout rate of around 35%, the planned sample size is at least N = 1032 study participants. DISCUSSION: Should the trial demonstrate significant positive outcomes, efforts should be made to integrate the program into routine care in Germany, potentially offering a promising base for future smoking cessation support among PAD patients.

A Scoping Review of Factors Influencing Smoking Cessation in Patients with Chronic Obstructive Pulmonary Disease.

To provide a scoping review of studies on factors affecting smoking cessation in patients with chronic obstructive pulmonary disease (COPD), so as to provide a basis for healthcare professionals to intervene early in the process of cessation of smoking in patients with COPD, and to formulate personalized interventions for smoking cessation. Arksey and O'Malley's scoping review methodology as a framework, searched databases including CNKI, Wanfang Data, VIP, China Biomedical Database, PubMed, Web of Science, Embase, ProQuest, CINAHL, and Cochrane Library to collect literature on factors influencing smoking cessation among COPD patients. The literature was screened, data extracted, and summarized accordingly. A total of 28 papers were included. The socio-demographic related factors affecting smoking cessation in patients with COPD were age, educational level, residence, marital status, occupational status, economic status, race, and sex; tobacco related factors included smoking index, smoking duration (years), cumulative smoking (packs/year), smoking intensity (packs/day), and tobacco addiction; disease related factors included mMRC score, GOLD level, severity of airflow restrictions, symptom, activity limitation due to lung problems, history of deterioration in outpatient care, receipt of COPD medication, receipt of lung CT, receipt of pulmonary function tests, receipt of surgery, and comorbid comorbidities; psychologically related factors included mental health status, quit smoking health beliefs, smoking cessation self-efficacy, motivation to quit smoking, stress, and adverse emotions; environmental/Interpersonal network related factors-included environmental impacts, social support, family support, tobacco control policies, and satisfaction with cessation care; and behavior related factors included alcohol consumption, coffee consumption, eating, physical activity, and have a hobby. Healthcare professionals should avoid critical education of COPD patients in the process of smoking cessation management, pay attention to the adverse effects of medication side effects on patients, emphasize the improvement of patients' health beliefs and self-efficacy in smoking cessation, and help patients to establish a correct cognition of smoking cessation.

[Review about smoking in pregnancy: prevalence, sociodemographic profile, perinatal depression, psychological variables involved and treatment]. / Revisión del tabaquismo en el embarazo: prevalencia, perfil sociodemográfico, depresión perinatal, variables psicológicas implicadas y tratamiento.

OBJECTIVE: Smoking is a Public Health problem. Half of all women smokers continue to smoke during pregnancy, putting their health and that of their foetus at risk. The aim of this review was to synthesise the main studies on the prevalence and sociodemographic, psychological and obstetric profile of women who smoke during pregnancy, the relationship of stress, personality and depression with smoking during pregnancy and the most effective treatments. METHODS: We conducted a literature review in the MEDLINE and PsycInfo databases from 2013 to 2023 on the most relevant aspects of smoking in pregnancy, including thirty studies. RESULTS: The prevalence of smoking in pregnancy is 15.7% in Spain. The socio-demographic profile of women who smoke during pregnancy is that of women with a low socioeconomic and educational level, generally without a partner or with partners who smoke and are unemployed. A relationship had been found between smoking in pregnancy and a higher probability of suffering from perinatal depression. High self-perceived stress may be a predictor variable for continued smoking in pregnancy. Personality traits such as high neuroticism appear to be related to smoking in pregnancy. Intervention to help pregnant women quit smoking must be tailored to the profile of the pregnant woman to be effective. Cognitive behavioural interventions show efficacy, especially in the long term. CONCLUSIONS: In order to design effective prevention and intervention programmes to help pregnant women quit smoking, not only the socio-demographic profile of the pregnant women should be taken into account, but also psychological variables such as personality and stress. These programmes should include cognitive behavioural interventions that teach adaptive stress management strategies to maximise their effectiveness. Special emphasis should be placed on reaching those women with the most disadvantaged profiles.

OBJETIVO: El tabaquismo es un problema de Salud Pública. La mitad de las mujeres fumadoras continúan haciéndolo en el embarazo, poniendo en riesgo su salud y la del feto. El objetivo de esta revisión fue sintetizar los principales estudios sobre la prevalencia y el perfil sociodemográfico, psicológico y obstétrico de la mujer fumadora en el embarazo, la relación del estrés, la personalidad y la depresión con el tabaquismo durante el embarazo y los tratamientos más eficaces. METODOS: Se llevó a cabo una revisión bibliográfica en las bases de datos MEDLINE y PsycInfo desde el año 2013 al 2023 sobre los aspectos más relevantes del tabaquismo en el embarazo, incluyéndose treinta estudios. RESULTADOS: La prevalencia del tabaquismo en el embarazo se sitúa en un 15,7% en España. El perfil sociodemográfico de la mujer fumadora en el embarazo es de aquella con bajo nivel socioeconómico y educativo, generalmente sin pareja o con parejas fumadoras, y sin trabajo. Se encontró relación entre fumar en el embarazo y mayor probabilidad de padecer depresión perinatal. Un alto estrés autopercibido es posible que sea una variable predictora de continuar fumando en el embarazo. Algunos rasgos de personalidad como elevado neuroticismo parecen estar relacionados con el tabaquismo en el embarazo. La intervención para ayudar a dejar de fumar a las embarazadas debe adaptarse al perfil de la misma para que sea eficaz. Las intervenciones cognitivo-conductuales muestran su eficacia, especialmente a largo plazo. CONCLUSIONES: Para diseñar programas de prevención e intervención eficaces que ayuden a las gestantes a dejar de fumar se debe tener en cuenta no solo el perfil sociodemográfico de las mismas, sino variables psicológicas como la personalidad y el estrés. Estos programas deben incluir intervenciones cognitivo-conductuales que enseñen estrategias adaptativas de gestión del estrés para maximizar su eficacia. Se debe poner especial énfasis en que estos programas lleguen a aquellas mujeres con perfil más desfavorecido.

Assessment of Smoking Behaviour of Adolescents in Two Districts of Nepal and Implications of the MPOWER Policy Measures: A Mixed Method Study.

INTRODUCTION: Tobacco use is the single most preventable cause of death and disease worldwide. This study aimed to assess the smoking behaviour of adolescents in two districts of Nepal and examine the implications of the MPOWER policy on their smoking behaviour. METHODS: An explanatory, mixed-method study was conducted in two districts of Nepal. Qualitative in-depth interviews were conducted among nine participants aged 35-50, representatives of the Ministry of Health, academic institutions, and managers of organisations working in tobacco control, using snowball sampling method. A total of 306 students of age 13-15 years, from six government schools were recruited through simple random sampling method using an adapted version of the Global Youth Tobacco Survey (GYTS). Findings of the qualitative and quantitative study were explained for concurrence and relevance to present overall study findings. Ethical approval was received from the Nepal Health Research Council and Mahidol University. RESULTS: Findings from the survey reported that a total of 25 (8.10%) of respondents were smokers, from which 13 (4.20%) were current smokers and 12 (3.90%) were ever smokers. Socio-economic status played a crucial role in the smoking behaviour. Although the survey among adolescents indicated an awareness of the policies, there was a lack of cessation services, which was concurrent with the qualitative findings. The interviews recommended improvements in the implementation of policy ban on public smoking, taxation, and availability of cessation services. CONCLUSIONS: The MPOWER policies are not regulated strictly, especially in areas of the ban on public smoking, regulating the selling of cigarettes to adolescents <18 years, and availability of cessation services.

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

BACKGROUND: The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. OBJECTIVE: This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. METHODS: In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. RESULTS: Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). CONCLUSIONS: The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.

A qualitative study to control adolescent smoking behaviour in junior high school.

Objectives: To evaluate efforts made to help young people curb smoking behaviour. METHODS: The qualitative study was conducted from January to February 2020 at 3 junior high schools in Banda Aceh, Indonesia, after approval from the ethics review committee of the University of Indonesia. The participants were students in grades 7 and 8. Data was collected through interviews, documentation and field notes. Data was subjected to construct and content validation, and was qualitatively analysed using NVivo 12 Plus. RESULTS: Of the 16 students, 2(12.5%) were from grade 7, and 14(87.5%) from grade 8. Overall, 12(75%) adolescents had smoked. There were 5 themes that emerged: smoking compulsion, adolescent perspectives on smoking behaviour, knowledge of the risks associated with smoking, obstacles to quitting, and smoking control strategies. To curb adolescent smoking, there were 2 themes: barriers to quitting smoking, and smoking control strategies. CONCLUSIONS: Efforts to curb smoking should focus on increasing adolescent self-control.

Risk of smoking cessation treatment dropout: a cohort to help (re)think care.

OBJECTIVES: to evaluate the relative risk of smoking cessation treatment dropout during its intensive phase. METHODS: a retrospective and quantitative cohort study was developed from the electronic medical records of individuals who started smoking cessation treatment between 2015 and 2019 at a specialty clinic in a city in the interior of São Paulo, Brazil. The relative risk of dropping out of treatment was calculated using the Poisson regression model. RESULTS: it was observed that out of the 396 (100.0%) individuals who started the treatment, 109 (27.5%) abandoned it before the end of the intensive phase. For each one-year increase in age, the risk of dropping out of smoking cessation treatment decreased by an average of 2%. CONCLUSIONS: the risk of dropping out of smoking cessation treatment is higher among younger individuals. It is necessary to rethink the care offered to younger adults to promote the continuity of treatment.

Vaping: The Key to Quitting Cigarettes or a Gateway to Addiction?

Background and Objectives: In 2022, the Centers for Disease Control and Prevention (CDC) discovered that 2.55 million middle and high school students were using electronic cigarettes (e-cigarettes) in the US alone. E-cigarettes allow people to inhale a nicotine solution (e-liquid) into their bodies. While e-cigarettes are often advertised as a way to help people quit traditional tobacco products, the World Health Organization (WHO) has stated that there is no proof of e-cigarettes being effective at reducing an individual's tobacco use. The objective of this study is to determine why adolescents start smoking e-cigarettes. Materials and Methods: For the following study, the National Youth Tobacco Survey (NYTS) 2021 was used. This is a nationally representative cross-sectional survey that includes middle and high school students. The data were analyzed using SAS v.9.4. The odds ratio for smoking e-cigarettes was evaluated for both sex and race via a logistic regression. Results: It was discovered that the percentage of only e-cigarette smokers (12.10%) was 5.5 times the percentage of only traditional smokers (2.19%). Additionally, the median age at which adolescents started smoking e-cigarettes was fifteen years with an IQR (Inter Quartile Range) of two. We used a logistic regression to show that biological sex and race were significant predictors of e-cigarette usage. Conclusions: In general, we saw that adolescents were mostly starting to smoke e-cigarettes because their friends were doing it, out of curiosity, they were depressed or anxious, and/or to get a "high", implying that adolescents mostly started smoking in order to fit in and/or to numb themselves. Interestingly, reasons like cost, using them to quit smoking, seeing them in the media, and ease of attainment were ranked the lowest when it came to smoking e-cigarettes. However, their lower costs naturally lead to increased accessibility compared to traditional cigarettes, making them easier to reach the hands of teenagers. Overall, in this paper, we aim to identify if adolescents are choosing e-cigarettes as their first foray into tobacco products and why.

Theoretically framing views of people who smoke in understanding what might work to support smoking cessation in coastal communities: adapting the TIDieR checklist to qualitative analysis for complex intervention development.

INTRODUCTION: People living in coastal communities have some of the worst health outcomes in the UK, driven in part by high smoking rates. Deprived coastal communities include socially disadvantaged groups that struggle to access traditional stop smoking services. The study aimed to seek the views of people who smoke living in coastal communities, to assess the optimal smoking cessation intervention for this population. In addition, the Template for Intervention Description Replication (TIDieR) checklist was adapted as an analytical framework for qualitative data to inform intervention design. METHODS: Current or recent ex-smokers (n = 25) were recruited to participate in qualitative interviews from a range of community locations in a deprived English seaside town. A thematic analysis of the interview data was undertaken adapting the TIDieR framework. This analysis was triangulated with relevant literature and notes from stakeholder meetings and observations to map onto the TIDieR checklist to describe the optimal intervention. RESULTS: Barriers to quitting smoking in the target population included low motivation to quit, high anxiety/boredom, normalisation of smoking and widespread illicit tobacco use. There was broad support for combining behavioural support, e-cigarettes and financial incentives, with a strong preference for the intervention to be delivered opportunistically and locally within (non-healthcare) community settings, in a non-pressurising manner, ideally by a community worker specially trained to give stop smoking support. CONCLUSIONS: An intensive community-based smoking cessation intervention was acceptable to the target population. Adapting the TIDieR checklist as a deductive qualitative analytical framework offered a systematic approach to intervention development. Combined with other intervention development activities, this ensured that the intervention design process was transparent and the proposed intervention was well defined. It is recommended that prior to intervention development researchers speak to members of the target population who may give valuable insight into the optimal intervention.

Validation of the Reasons for Quitting Smoking Cannabis Scale Among People with Cannabis Use Disorder.

BACKGROUND: The prevalence of cannabis use disorder (CUD) has increased in the last ten years with medicinal and recreational legalization across the United States and increasing accessibility worldwide. Estimates suggest that 8-18% of individuals who use cannabis meet diagnostic criteria for CUD, leading to significant impairments across functioning. However, there are currently no measures that assess the reasons for quitting smoking cannabis to use in treatments with validation evidence in those with CUD. METHOD: We validated the Reasons for Quitting Smoking Cannabis Scale (RQSCS) in adults (n = 133) who meet the diagnostic criteria for CUD as part of a laboratory-based clinical trial on transdermal nicotine patches for cannabis withdrawal symptoms (R01DA031006). We conducted standard psychometric testing, including exploratory factor analyses, estimating internal consistencies, exploring demographic variation, and testing construct validity. RESULTS: The RQSCS demonstrated a four-factor structure, including: (1) cognitive health, (2) social functioning, (3) health problems, (4) reputation, and a single item that assesses experimental incentive; λs > .410), with acceptable to high internal consistencies for each subscale (αs > .725). The scale demonstrated strong construct validity and minor demographic variation. Finally, all subscales were sensitive to detecting reasons for quitting cannabis and differentially predicted cannabis use 31 days after the study. CONCLUSION: The RQSCS is a psychometrically robust, timely instrument for assessing the reasons for quitting smoking cannabis in individuals with CUD. The scale has the potential to provide useful information for clinicians attempting to help those with CUD reduce or cease their cannabis use, informing individualized treatment plans and enhancing motivation for change.

Reduced Nicotine Cigarettes and E-Cigarettes in High-Risk Populations: 3 Randomized Clinical Trials.

Importance: Prohibiting the sale of commonly preferred e-cigarette flavors (eg, fruity and sweet) to discourage use among youths poses a risk of diminishing efforts to decrease smoking in adults. Objective: To compare reductions in smoking achieved in adults with psychiatric conditions or lower educational level using very low nicotine content (VLNC) cigarettes alone, combined with e-cigarettes limited to tobacco flavor (TF), or combined with e-cigarettes in participant-preferred flavors. Design, Setting, and Participants: Three randomized clinical trials were conducted for 16 weeks from October 2020 through November 2023 at the University of Vermont, Brown University, and Johns Hopkins University. Participants were adults who smoked daily and were not planning to quit in the next 30 days. These participants were from 3 at-risk populations: those with affective disorders, exemplifying mental illness; those with opioid use disorder, exemplifying substance use disorders; and females of reproductive age with a high-school education or less, exemplifying lower educational level. Participants were randomly assigned to 1 of 4 experimental conditions: (1) normal nicotine content (NNC) cigarettes only; (2) VLNC cigarettes only; (3) VLNC cigarettes plus e-cigarettes with classic TF (hereafter, VLNC + TF); and (4) VLNC cigarettes plus e-cigarettes with preferred flavors (hereafter, VLNC + PF). Interventions: The NNC cigarettes contained 15.8 mg nicotine/g tobacco, the VLNC cigarettes contained 0.4 mg nicotine/g tobacco, the VLNC + TF had pods containing 5% nicotine by weight and only classic TF, and the VLNC + PF had pods containing 5% nicotine in 8 flavors (including fruity and sweet) from which participants selected 3 flavors. Main Outcomes and Measures: The primary outcome was mean total cigarettes smoked per day (CPD) during week 16. Tobacco-related biomarkers were assessed, including total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), a tobacco-specific carcinogen. Results: A total of 326 participants (mean [SD] age, 40.09 [10.79] years; 243 females [74.5%]) from 3 randomized clinical trials were included. The VLNC cigarettes decreased total CPD, with least square (LS) means (SEMs) of 22.54 (1.59) in the NNC, 14.32 (1.32) in the VLNC, 11.76 (1.18) in the VLNC + TF, and 7.63 (0.90) in the VLNC + PF conditions. Each VLNC condition differed significantly from NNC, with an adjusted mean difference (AMD) of -8.21 (95% CI, -12.27 to -4.16; P < .001) in the VLNC, -10.78 (95% CI, -14.67 to -6.90; P < .001) in the VLNC + TF, and -14.91 (95% CI, -18.49 to -11.33; P < .001) in the VLNC + PF conditions. Participants in the VLNC + PF condition also decreased smoking below the VLNC and the VLNC + TF conditions (AMDs, -6.70 [95% CI, -9.84 to -3.55; P < .001] and -4.13 [95% CI, -7.05 to -1.21; P = .02]); the VLNC and VLNC + TF conditions did not differ significantly. Consistent with decreases in CPD, NNAL levels in the VLNC + PF condition were lower than in all other conditions, with AMDs (in pmol/mg creatinine) of -0.94 (95% CI, -1.41 to -0.47; P < .001) compared with the NNC condition, -0.47 (95% CI, -0.87 to -0.08; P = .03) compared with the VLNC condition, and -0.46 (95% CI, -0.83 to -0.10; P = .04) compared with the VLNC + TF condition. Conclusions and Relevance: These results provide further evidence that a reduced-nicotine standard for cigarettes has the potential to decrease smoking and tobacco-toxicant exposure in high-risk populations and that these effects may be enhanced when adults can access e-cigarettes in commonly preferred flavors. Trial Registration: ClinicalTrials.gov Identifiers: NCT04092387, NCT04090879, NCT04092101.

Desire to Quit Smoking, Opt-Out Tobacco Treatment, and Cessation: A Secondary Analysis of a Randomized Clinical Trial.

This secondary analysis of a randomized clinical trial examines whether an individual's desire to quit interacts with the association between opt-out tobacco treatment and 1-month quit rates.

Generation of Backward-Looking Complex Reflections for a Motivational Interviewing-Based Smoking Cessation Chatbot Using GPT-4: Algorithm Development and Validation.

Background: Motivational interviewing (MI) is a therapeutic technique that has been successful in helping smokers reduce smoking but has limited accessibility due to the high cost and low availability of clinicians. To address this, the MIBot project has sought to develop a chatbot that emulates an MI session with a client with the specific goal of moving an ambivalent smoker toward the direction of quitting. One key element of an MI conversation is reflective listening, where a therapist expresses their understanding of what the client has said by uttering a reflection that encourages the client to continue their thought process. Complex reflections link the client's responses to relevant ideas and facts to enhance this contemplation. Backward-looking complex reflections (BLCRs) link the client's most recent response to a relevant selection of the client's previous statements. Our current chatbot can generate complex reflections-but not BLCRs-using large language models (LLMs) such as GPT-2, which allows the generation of unique, human-like messages customized to client responses. Recent advancements in these models, such as the introduction of GPT-4, provide a novel way to generate complex text by feeding the models instructions and conversational history directly, making this a promising approach to generate BLCRs. Objective: This study aims to develop a method to generate BLCRs for an MI-based smoking cessation chatbot and to measure the method's effectiveness. Methods: LLMs such as GPT-4 can be stimulated to produce specific types of responses to their inputs by "asking" them with an English-based description of the desired output. These descriptions are called prompts, and the goal of writing a description that causes an LLM to generate the required output is termed prompt engineering. We evolved an instruction to prompt GPT-4 to generate a BLCR, given the portions of the transcript of the conversation up to the point where the reflection was needed. The approach was tested on 50 previously collected MIBot transcripts of conversations with smokers and was used to generate a total of 150 reflections. The quality of the reflections was rated on a 4-point scale by 3 independent raters to determine whether they met specific criteria for acceptability. Results: Of the 150 generated reflections, 132 (88%) met the level of acceptability. The remaining 18 (12%) had one or more flaws that made them inappropriate as BLCRs. The 3 raters had pairwise agreement on 80% to 88% of these scores. Conclusions: The method presented to generate BLCRs is good enough to be used as one source of reflections in an MI-style conversation but would need an automatic checker to eliminate the unacceptable ones. This work illustrates the power of the new LLMs to generate therapeutic client-specific responses under the command of a language-based specification.

Nicotine addiction and the influence of life adversity and acute stress on PYY: Prediction of early smoking relapse.

Early life adversity (ELA) is associated with earlier initiation and maintenance of tobacco smoking and with a greater risk of subsequent relapse. There is growing evidence that appetite hormones, including peptide YY (PYY), which modulates craving and satiety responses, play a role in stress and addiction processes. This study employed a quasi-experimental design to examine the association between ELA and circulating PYY stress responses in smokers and nonsmokers (N = 152, ages 19-73 years) to examine the effects of nicotine addiction. Smokers initiated a quit attempt as part of the study and were classified as either abstinent smokers or relapsed smokers based on their nicotine use during the follow-up period. PYY levels were measured at five timepoints during three lab sessions and compared between nonsmokers and the two smoking groups (abstainers, relapsers): while smokers were using nicotine ad libitum, 24 h after smokers initiated a quit attempt, and 4 weeks after smokers initiated a quit attempt. Multivariate analyses showed the main effects of time on PYY, which decreased over time within each session. The main effects of ELA during the first (ad libitum smoking) and second (24-h post-cessation for smokers) sessions indicated that experiencing ELA was associated with lower PYY. No systematic effect of nicotine addiction or relapse was observed in this study. These findings suggest that adults with higher ELA may experience lower PYY. Additional research is needed to further explore the role of PYY in stress and addiction processes.

Oncologists' communication about tobacco and alcohol use during treatment for esophagogastric cancer: a qualitative observational study of simulated consultations.

PURPOSE: Tobacco and alcohol use influence cancer risk as well as treatment outcomes, specifically for esophageal and gastric cancer patients. Therefore, it is an important topic to discuss during consultations. This study aims to uncover medical, radiation, and surgical oncologists' communication about substance use, i.e., tobacco and alcohol use, in simulated consultations about curative and palliative esophagogastric cancer treatment. METHODS: Secondary analyses were performed on n = 40 standardized patient assessments (SPAs) collected in three Dutch clinical studies. Simulated patients with esophagogastric cancer were instructed to ask about smoking or alcohol use during treatment. The responses of the 40 medical, radiation, and surgical oncologists were transcribed verbatim, and thematic analysis was performed in MAXQDA. RESULTS: Oncologists consistently advocated smoking cessation during curative treatment. There was more variation in their recommendations and arguments in the palliative compared to the curative setting and when addressing alcohol use instead of smoking. Overall, oncologists were less stringent regarding behavior change in the palliative than in the curative setting. Few oncologists actively inquired about the patient's perspective on the substance use behavior, the recommended substance use change, or the support offered. CONCLUSION: Clear guidelines for oncologists on when and how to provide unequivocal recommendations about substance use behavior change and support to patients are needed. Oncologists might benefit from education on how to engage in a conversation about smoking or alcohol.

Patterns and perceptions of vaping among adults living in social housing: a representative survey in Great Britain, 2023.

BACKGROUND: Vaping products are effective for helping people to stop smoking and may therefore offer a potential means to reduce high rates of smoking in socioeconomically disadvantaged groups. This study aimed to examine current patterns and perceptions of vaping among people living in social housing in Great Britain compared with those living in other housing types. METHODS: Data were from the Smoking Toolkit Study; a nationally-representative survey conducted in 2023 (n = 23,245). Logistic regression tested cross-sectional associations between living in social (vs. other) housing and current vaping among adults; vaping frequency, device type, nicotine concentration, and source of purchase among current vapers; use of vaping products as a smoking cessation aid among past-year smokers who tried to quit; and harm perceptions of vaping products relative to cigarettes among current smokers. RESULTS: Current vaping prevalence was twice as high among adults living in social housing (19.4%) compared with those in other housing types (10.4%; OR = 2.07, 95%CI = 1.84-2.33). This was partly explained by differences in sociodemographic characteristics and smoking status; after adjustment, the odds of being a current vaper were 33% higher (ORadj=1.33, 95%CI = 1.14-1.54). Among vapers, there were no notable differences by housing tenure in vaping frequency, main device type used, usual nicotine concentration, usual source of purchase, or use as a smoking cessation aid. However, current smokers living in social housing were more likely to think vaping is more harmful than cigarettes (31.6% vs. 21.8%; ORadj=1.61, 95%CI = 1.30-1.99). CONCLUSIONS: In Great Britain, adults who live in social housing are more likely to vape than those who live in other housing types, even after accounting for their younger age and higher smoking rates. However, misperceptions about the relative harms of vaping products and tobacco are common among smokers living in social housing. Interventions addressing these misperceptions could help encourage more people living in social housing to switch from smoking to vaping and reduce smoking-related health inequalities. PRE-REGISTRATION: The study protocol and analysis plan were pre-registered on Open Science Framework (https://osf.io/n3mvs/).

Smoking cessation program preferences of individuals with chronic obstructive pulmonary disease: a qualitative study.

AIM: To explore the views of tobacco-smoking chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) patients on telehealth-based cessation programs and the role of e-cigarettes as an aid to quit smoking. BACKGROUND: Tobacco smoking accelerates the progression of COPD. Traditional smoking cessation programs often do not entirely address the unique needs of COPD patients, leading to suboptimal effectiveness for this population. This research is aimed at describing the attitudes and preferences of COPD and ACO patients toward innovative, telehealth-based smoking cessation strategies and the potential application of e-cigarettes as a quitting aid. METHODS: A qualitative exploratory approach was adopted in this study, employing both focus groups and individual interviews with English-speaking adults with diagnosed COPD or ACO. Participants included both current smokers (≥ 5 cigarettes/day) and recent ex-smokers (who quit < 12 months ago). Data were systematically coded with iterative reliability checks and subjected to thematic analysis to extract key themes. FINDINGS: A total of 24 individuals participated in this study. The emergent themes were the perceived structure and elements of a successful smoking cessation program, the possible integration of telehealth with digital technologies, and the strategic use of e-cigarettes for smoking reduction or cessation. The participants stressed the importance of both social and professional support in facilitating smoking cessation, expressing a high value for insights provided by ex-smokers serving as mentors. A preference was observed for group settings; however, the need for individualized plans was also highlighted, considering the diverse motivations individuals had to quit smoking. The participants perceived online program delivery as potentially beneficial as it could provide immediate access to support during cravings or withdrawals and was accessible to remote users. Opinions on e-cigarettes were mixed; some participants saw them as a less harmful alternative to conventional smoking, while others were skeptical of their efficacy and safety and called for further research.

Modeling the population health impact of accurate and inaccurate perceptions of harm from nicotine.

BACKGROUND: Scientific evidence clearly demonstrates that inhaling the smoke from the combustion of cigarettes is responsible for most of the harm caused by smoking, and not the nicotine. However, a majority of U.S. adults who smoke inaccurately believe that nicotine causes cancer which may be a significant barrier, preventing switching to potentially reduced risk, non-combustible products like electronic nicotine delivery systems (ENDS) and smokeless tobacco (ST). We assessed the population health impact associated with nicotine perceptions. METHODS: Using a previously validated agent-based model to the U.S. population, we analyzed nationally representative data from the Population Assessment of Tobacco and Health (PATH) study to estimate base case rates of sustained (maintained over four waves) cessation and switching to non-combustible product use, by sex. Nicotine perception scenarios were determined from PATH data. The overall switch rate from smoking in Wave 4 to non-combustible product use in Wave 5 (3.94%) was stratified based on responses to the nicotine perception question "Do you believe nicotine is the chemical that causes most of the cancer caused by smoking cigarettes?", (four-item scale from "Definitely not" to "Definitely yes"). The relative percent change between the overall and stratified rates, corresponding to each item, was used to adjust the base case rates of switching, to determine the impact, if all adults who smoke exhibited switching behaviors based on responses to the nicotine perceptions question. The public health impact of nicotine perceptions was estimated as the difference in all-cause mortality between the base case and the four nicotine perception scenarios. RESULTS: Switch rates associated with those who responded, "Definitely not" (8.39%) resulted in a net benefit of preventing nearly 800,000 premature deaths over an 85-year period. Conversely switch rates reflective of those who responded, "Definitely yes" (2.59%) resulted in a net harm of nearly 300,000 additional premature deaths over the same period. CONCLUSIONS: Accurate knowledge regarding the role of nicotine is associated with higher switch rates and prevention of premature deaths. Our findings suggest that promoting public education to correct perceptions of harm from nicotine has the potential to benefit public health.