Sleep-related adverse events of smoking cessation drugs: A network meta-analysis of randomized controlled trials.

Smoking cessation medications have the potential to affect the functioning of the nervous system, leading to sleep disturbances. Our study aimed to compare the sleep-related side effects (such as insomnia, abnormal dreams, nightmares, and somnolence) induced by different smoking cessation medications in non-psychiatric smokers. We conducted a thorough search of five electronic databases (Cochrane, EMBASE, PubMed, PsycInfo, and Web of Science) for randomized controlled trials. This study was registered with the PROSPERO (registration number CRD42022347976). A total of 79 full-text articles, encompassing 36,731 participants, were included in our analysis. Individuals using bupropion, bupropion in combination with a nicotinic acetylcholine receptor agonist (NRA), and bupropion in conjunction with nicotine replacement therapy (NRT) exhibited a higher likelihood of experiencing insomnia compared to those using NRT alone. Bupropion plus NRA had the highest ranking on the surface under the cumulative ranking curve (SUCRA) for insomnia risk, while placebo had the lowest ranking. Additionally, NRA plus NRT ranked first for abnormal dream outcomes, NRA alone for nightmares, and nortriptyline for somnolence, based on the SUCRA results. Healthcare providers should exercise caution when prescribing smoking cessation drugs, particularly in consideration of their potential sleep-related side effects.

An Integrated mHealth App for Smoking Cessation in Black Smokers With HIV: Protocol for a Randomized Controlled Trial.

BACKGROUND: Black adults who smoke and have HIV experience immense stressors (eg, racial discrimination and HIV stigma) that impede smoking cessation success and perpetuate smoking-related health disparities. These stressors also place Black adults who smoke and have HIV at an increased risk of elevated interoceptive stress (eg, anxiety and uncomfortable bodily sensations) and smoking to manage symptoms. In turn, this population is more likely to smoke to manage interoceptive stress, which contributes to worse HIV-related outcomes in this group. However, no specialized treatment exists to address smoking cessation, interoceptive stress, and HIV management for Black smokers with HIV. OBJECTIVE: This study aims to test a culturally adapted and novel mobile intervention that targets combustible cigarette smoking, HIV treatment engagement and adherence, and anxiety sensitivity (a proxy for difficulty and responsivity to interoceptive stress) among Black smokers with HIV (ie, Mobile Anxiety Sensitivity Program for Smoking and HIV [MASP+]). Various culturally tailored components of the app are being evaluated for their ability to help users quit smoking, manage physiological stress, and improve health care management. METHODS: This study is a pilot randomized controlled trial in which Black combustible cigarette smokers with HIV (N=72) are being recruited and randomly assigned to use either (1) the National Cancer Institute's QuitGuide app or (2) MASP+. Study procedures include a web-based prescreener; active intervention period for 6 weeks; smartphone-based assessments, including daily app-based ecological momentary assessments for 6 weeks (4 ecological momentary assessments each day); a video-based qualitative interview using Zoom Video Communications software at week 6 for participants in all study conditions; and smartphone-based follow-up assessments at 0, 1, 2 (quit date), 3, 4, 5, 6, and 28 weeks postbaseline (26 weeks postquitting date). RESULTS: Primary outcomes include biochemically verified 7-day point prevalence of abstinence, HIV-related quality of life, use of antiretroviral therapy, and HIV care appointment adherence at 26 weeks postquitting date. Qualitative data are also being collected and assessed to obtain feedback that will guide further tailoring of app content and evaluation of efficacy. CONCLUSIONS: The results of this study will determine whether the MASP+ app serves as a successful aid for combustible cigarette smoking cessation, HIV treatment engagement, and physiological stress outcomes among Black people with HIV infection. If successful, this study will provide evidence for the efficacy of a new means of addressing major mental and physical health difficulties for this high-risk population. If the results are promising, the data from this study will be used to update and tailor the MASP+ app for testing in a fully powered randomized controlled trial that will evaluate its efficacy in real-world behavioral health and social service settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05709002; https://clinicaltrials.gov/study/NCT05709002. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/52090.

Evidence of validity of the Smoking Cessation Counseling scale - Brazilian version.

OBJECTIVE: to evaluate the evidence of validity of the internal structure and reliability of the Brazilian version of the Smoking Cessation Counseling instrument. METHOD: psychometric study of confirmatory factor analysis and reliability carried out on 250 nurses in clinical practice. For the analysis of the convergent validity of the factor model, Average Variance Extracted values were calculated, and discriminant analysis was carried out using the Fornell-Larcker criterion. Reliability was examined using Cronbach's alpha coefficient and composite reliability. RESULTS: it was necessary to exclude seven items from the Advanced Counseling domain and one item from the Basic Counseling domain in order to properly obtain the Average Variance Extracted values and the Fornell-Larcker criterion. The composite reliability ranged from 0.76 to 0.86 and the overall Cronbach`s alpha coefficient was 0.86, ranging from 0.53 to 0.84 depending on the domain assessed. The final version of the instrument was made up of 16 items divided into 4 domains. CONCLUSION: the Brazilian version of Smoking Cessation Counseling obtained adequate psychometric evidence of validity and reliability. Further studies are needed to refine the instrument. BACKGROUND: (1) Instrument shows adequate internal consistency and validity. BACKGROUND: (2) Evaluate counseling practices and their impact on patient care. BACKGROUND: (3) Instrument for evaluating smoking cessation counseling. BACKGROUND: (4) Provides important information for planning nursing care.

Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample.

Despite the large public health toll of smoking, genetic studies of smoking cessation have been limited with few discoveries of risk or protective loci. We investigated common and rare variant associations with success in quitting smoking using a cohort from 8 randomized controlled trials involving 2231 participants and a total of 10,020 common and 24,147 rare variants. We identified 14 novel markers including 6 mapping to genes previously related to psychiatric and substance use disorders, 4 of which were protective (CYP2B6 (rs1175607105), HTR3B (rs1413172952; rs1204720503), rs80210037 on chr15), and 2 of which were associated with reduced cessation (PARP15 (rs2173763), SCL18A2 (rs363222)). The others mapped to areas associated with cancer including FOXP1 (rs1288980) and ZEB1 (rs7349). Network analysis identified significant canonical pathways for the serotonin receptor signaling pathway, nicotine and bupropion metabolism, and several related to tumor suppression. Two novel markers (rs6749438; rs6718083) on chr2 are flanked by genes associated with regulation of bodyweight. The identification of novel loci in this study can provide new targets of pharmacotherapy and inform efforts to develop personalized treatments based on genetic profiles.

How a 5-Day Stay in the Tobacco-Free Environment of the Stoptober House Supports Individuals to Quit Smoking: A Mixed Methods Pilot Study.

INTRODUCTION: The Stoptober House is part of the annual national Stoptober smoking cessation campaign in the Netherlands. During the first week of October, 48 volunteers resided in the tobacco-free Stoptober House for 5 days and received smoking cessation counseling. This pilot study explored how the Stoptober House may have facilitated smoking cessation among participants. METHODS: We included 48 individuals who were selected for the Stoptober House (intervention group) and 67 individuals who were not selected (control group). Surveys were conducted at baseline, immediately after 2 and 8 weeks of post-intervention. We compared self-reported abstinence, psychosocial mediators related to smoking cessation, and perceived active elements of the Stoptober House between the intervention and control groups using t/χ2 tests and linear mixed model (LMM) analysis. Sixteen semi-structured qualitative interviews were conducted to explore participants' perspectives on the elements contributing to their success in quitting smoking. RESULTS: At 8 weeks of follow-up, a higher proportion of participants in the intervention group (24/48 [50%]) reported being abstinent compared to the control group (5/67 [7%]; p < 0.001). Among participants who reported making a quit attempt, 22/38 (57.9%) in the intervention group remained abstinent compared to 4/17 (23.5%) in the control group (p = 0.022). The intervention group also exhibited higher self-efficacy to quit smoking throughout the follow-up period and higher social support immediately after the Stoptober House. No significant differences were observed in other psychosocial factors. The interviews highlighted several perceived elements of the Stoptober House that contributed to smoking cessation success, including restricted smoking opportunities, access to smoking cessation counselors, and peer support. CONCLUSION: This pilot study suggests that the Stoptober House provides support that can help people quit smoking. Further research is needed to confirm these findings and determine the cost-effectiveness of this intervention in promoting long-term abstinence among specific groups of smokers.

Insomnia and parasomnia induced by validated smoking cessation pharmacotherapies and electronic cigarettes: a network meta-analysis.

We aim to assess the relationship between validated smoking cessation pharmacotherapies and electronic cigarettes (e-cigarettes) and insomnia and parasomnia using a systematic review and a network meta-analysis. A systematic search was performed until August 2022 in the following databases: PUBMED, COCHRANE, CLINICALTRIAL. Randomized controlled studies against placebo or validated therapeutic smoking cessation methods and e-cigarettes in adult smokers without unstable or psychiatric comorbidity were included. The primary outcome was the presence of "insomnia" and "parasomnia." A total of 1261 studies were selected. Thirty-seven studies were included in the quantitative analysis (34 for insomnia and 23 for parasomnia). The reported interventions were varenicline (23 studies), nicotine replacement therapy (NRT, 10 studies), bupropion (15 studies). No studies on e-cigarettes were included. Bayesian analyses found that insomnia and parasomnia are more frequent with smoking cessation therapies than placebo except for bupropion. Insomnia was less frequent with nicotine substitutes but more frequent with bupropion than the over pharmacotherapies. Parasomnia are less frequent with bupropion but more frequent with varenicline than the over pharmacotherapies. Validated smoking cessation pharmacotherapies can induce sleep disturbances with different degrees of frequency. Our network meta-analysis shows a more favorable profile of nicotine substitutes for insomnia and bupropion for parasomnia. It seems essential to systematize the assessment of sleep disturbances in the initiation of smoking cessation treatment. This could help professionals to personalize the choice of treatment according to sleep parameters of each patient. Considering co-addictions, broadening the populations studied and standardizing the measurement are additional avenues for future research.

Who likely experiences reactance to quitting messages: How individual cultural identification moderates the effect of controlling language on psychological reactance.

OBJECTIVE: Psychological reactance can undermine the persuasiveness of smoking campaigns, but this effect may vary as a function of culture. Previous research has been conducted at the national level or examined the influence of one cultural variable. This study investigated whether the boomerang effect of controlling language varied across countries and whether individualism and power distance moderated the relationship between controlling language and psychological reactance. METHODS: A total of 400 Chinese and 441 American smokers were randomly assigned to either high or low controlling language. RESULTS: High controlling language elicited psychological reactance, which caused negative attitudes and eventually reduced intentions to quit smoking in both countries. Moreover, the effect of controlling language on reactance was stronger among low power distance Americans, Chinese of high individualism and high power distance as well as of low individualism and low power distance. CONCLUSION: The boomerang effect of controlling language held across cultures. Power distance moderated the relationship between controlling language and psychological reactance as well as the moderation effect of individualism on this relationship. PRACTICE IMPLICATIONS: Practitioners should be cautious to evoke reactance especially when targeting at the three groups mentioned above.

Multidimensional assessment of adverse events of bupropion: A large-scale data analysis from the FAERS database.

OBJECTIVE: Bupropion, a monocyclic antidepressant, aids in smoking cessation, treats major depression, and prevents severe depression in seasonal affective disorder patients. Yet, its adverse reactions remain insufficiently studied. METHODS: All data from the raw data packages for 78 quarters from the 1st quarter of 2004 to the 2nd quarter of 2023 were extracted from the FDA Adverse Event Reporting System (FAERS) database and imported into the SAS9.4 software for data cleaning and analysis. The Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS) methods were used to analyze drug adverse events and assess their compliance with various screening criteria. RESULTS: The results showed a total of 36,862 reports related to Bupropion use, identifying 364 positive reaction terms (PT) covering 23 System Organ Classes (SOCs). In addition to known side effects, some new potential adverse reactions were found, such as Stool analysis abnormal, Oculocephalogyric reflex absent, Suspected suicide, and so on. At the same time, reactions like Encephalopathy neonatal, Hyponatraemic coma, and Electrocardiogram QRS complex prolonged were prominently ranked. Notably, occurrences such as Urine amphetamine positive and Amphetamines positive were relatively high, suggesting extra caution for these potential adverse reactions during clinical use of Bupropion. CONCLUSION: These findings highlight the potential health risks of long-term Bupropion use, especially concerning efficacy, positive drug tests, and suicidal tendencies. Therefore, it is recommended to monitor and assess patients using Bupropion more stringently to use this therapeutically potential drug more safely and effectively.

Social network tie functions of social support and social influence and adult smoking abstinence.

Adults' social network ties serve multiple functions and play prominently in quitting smoking. We examined three types of adults' egocentric social networks, including family, friends, and friends online to investigate how two network characteristics with major relevance to health behavior, network size and tie closeness, related to the emotional and confidant support and to pro- and anti-smoking social influence these ties may transmit. We also examine whether the social support and social influence constructs related to smoking abstinence. We utilized baseline and 7-day abstinence survey data from 123 adult current smokers attempting to quit prior to the start of a randomized controlled quit-smoking trial of a social support intervention for quitting smoking on Twitter. To examine study relationships, we estimated Negative Binomial Regression models and Logistic Regression models. For all networks, network size and tie closeness related positively to most of the social support and social influence constructs, with tie closeness related most strongly, especially for online friends. Family pro-smoking social influence related negatively to smoking abstinence, and there were marginally negative relationships for family emotional support and family confidant support. Online friend emotional support had a marginally positive relationship with smoking abstinence. Overall, our findings indicated the importance of the social support and social influence functions of each type of network tie, with larger networks and closer ties related to higher levels of social support and social influence. Moreover, family network pro-smoking social influence may compromise abstinence while emotional support from online friend network ties may reinforce it.

Qualitative Message Development to Motivate Quitting Smoking in Older Adults: Dementia May Motivate Quitting.

Compared to younger adults, older adults who smoke cigarettes are half as likely to make a quit attempt, but more likely to maintain abstinence using evidence-based smoking treatments (EBSTs), illustrating the need for motivational messages to promote cessation through EBSTs. It is unclear whether messaging regarding the association between smoking and dementia might motivate older adults to quit. We conducted 90-min semi-structured qualitative interviews and surveys via telephone with 24 U.S. older adults who smoke (ages 50-75) with no cognitive impairment history. Rapid content analysis revealed the most reported health-related concern of aging was dementia/cognitive loss/loss of functioning. However, most participants were unaware of the association between cognitive decline and smoking. Participants had seen previous smoking cessation advertisements, but most did not feel motivated to quit by them. The majority found a message about smoking raising dementia risk and quitting decreasing that risk to be motivational for cessation. Exact message content preference varied, but 2 broad categories arose: hope- and fear-based messages. Most participants stated willingness to use some cessation pharmacotherapy and half were willing to use cessation counseling. Participants preferred messages to come from older adults who were successful quitters. To our knowledge, this was the first study to explore potential motivational messages targeting older adult smokers, including the potential acceptability of a dementia-related message in this context. This work supports patient desire for targeted motivational messages for older adult smokers. Messages highlighting the link between smoking and dementia are perceived to be motivational for this group; future work should compare a hope- to fear-based messages.

Smoking Cessation Support in the Context of Other Social and Behavioral Needs in Community Health Centers.

BACKGROUND: Cigarette smoking rates remain disproportionately high among low income populations with unmet social and behavioral health needs. To address this problem, we sought to develop and evaluate the feasibility, acceptability, and preliminary effectiveness of a novel smoking cessation program for community health centers that serve these populations. METHODS: We implemented a randomized pilot trial of two smoking cessation programs in three county operated community health center (CHC) sites: (1) a systematic assessment of smoking habits and standard tools to assist with smoking cessation counseling ("Enhanced Standard Program" or ESP), and (2) another that added a structured assessment of social and behavioral barriers to smoking cessation, ("Connection to Health for Smokers" or CTHS). Clinical outcomes were evaluated between 10 to 16 weeks, supplemented with interviews of patient participants and health care team members. RESULTS: 141 adults were randomized and 123 completed the intervention (61 in ESP, 62 in CTHS). At follow-up, over half of participants reported ≥1 quit attempts (59.7% ESP and 56.5% CTHS; adjusted p = .66) while more in ESP (24.6% vs. 12.9%) were documented as not smoking in the last 7 days (adjusted p = 0.03). In addition to being in ESP, predictors of smoking cessation included higher baseline confidence in ability to quit (p = 0.02) and more quit attempts during the study (p = 0.04). Health care teams, however, generally preferred the more comprehensive approach of CTHS. CONCLUSION: Lessons learned from this pilot study may inform the development of effective smoking cessation programs for CHCs that combine elements of both interventions.

An overview of systematic reviews on predictors of smoking cessation among young people.

Understanding the factors that influence smoking cessation among young people is crucial for planning targeted cessation approaches. The objective of this review was to comprehensively summarize evidence for predictors of different smoking cessation related behaviors among young people from currently available systematic reviews. We searched six databases and reference lists of the included articles for studies published up to October 20, 2023. All systematic reviews summarizing predictors of intention to quit smoking, quit attempts, or smoking abstinence among people aged 10-35 years were included. We excluded reviews on effectiveness of smoking cessation intervention; smoking prevention and other smoking behaviors; cessation of other tobacco products use, dual use, and polysubstance use. We categorized the identified predictors into 5 different categories for 3 overlapping age groups. JBI critical appraisal tool and GRADE-CERqual approach were used for quality and certainty assessment respectively. A total of 11 systematic reviews were included in this study; all summarized predictors of smoking abstinence/quit attempts and two also identified predictors of intention to quit smoking. Seven reviews had satisfactory critical appraisal score and there was minimal overlapping between the reviews. We found 4 'possible' predictors of intention to quit smoking and 119 predictors of smoking abstinence/quit attempts. Most of these 119 predictors were applicable for ~10-29 years age group. We had moderate confidence on the 'probable', 'possible', 'insufficient evidence', and 'inconsistent direction' predictors and low confidence on the 'probably unrelated' factors. The 'probable' predictors include a wide variety of socio-demographic factors, nicotine dependence, mental health, attitudes, behavioral and psychological factors, peer and family related factors, and jurisdictional policies. These predictors can guide improvement of existing smoking cessation interventions or planning of new targeted intervention programs. Other predictors as well as predictors of intention to quit smoking need to be further investigated among adolescents and young adults separately.

A multilevel intervention in pediatric primary care for youth tobacco control: Outcomes of implementing an Ask, Advise, and Connect model.

Multilevel interventions in healthcare settings (e.g. Ask, Advise, and Connect; AAC) can reduce tobacco product use among adult patients: their effectiveness in pediatric practice is largely unknown. We implemented an AAC model in pediatric primary care to deter children's tobacco use, and evaluated its effectiveness in a single-arm trial. At wellness visits, young patients (ages 12-17) completed a tablet-based assessment (Ask) of lifetime and current tobacco use. These data were made available within the electronic health record to pediatric primary care providers for preventive counseling (Advise). Providers then referred patients to an e-health evidence-based tobacco control intervention (Connect). Tobacco control outcomes were examined in the clinic population (N = 2219) and in a sample of patients (N = 388, 62% female, 39% non-White, M age = 15) over time, along with intervention engagement. Population use of tobacco products decreased following introduction of AAC (more than 2-fold). At the patient level, most children (80.9%) engaged with the intervention: those who were Black or African American, who never used tobacco products/were not susceptible to use, and who used fewer non-cigarette tobacco products were more likely to engage, but only after multiple prompts versus a single prompt. Engagement was positively associated with lowering children's susceptibility to using tobacco at follow-up. A pediatric AAC model holds promise in deterring youth tobacco use, including among historically marginalized populations who may require additional support.

By implementing a multilevel Ask, Advise, and Connect intervention, pediatric tobacco use declined in a clinical population, with high intervention engagement and improved outcomes.

Effectiveness of health education and counseling on stages of change, decisional balance, and smoking cessation self-efficacy: A prospective self-control study.

OBJECTIVE: To examine the effectiveness of health education and counseling on the stages of change, decisional balance, and smoking cessations elf-efficacy in smokers with no intention of quitting. METHODS: A prospective self-controlled design was conducted between December 2020 and December 2022. The research period was divided into a control stage (first to fourth weeks) and an experimental stage (fifth to eighth weeks). Patients with coronary artery disease (CAD) and habitually smoked were recruited. Pearson correlation and a one-factor repeated-measurement analysis were performed to assess the effectiveness of the intervention. RESULTS: In total, 108 male CAD patients with a mean age of 58.1 years were recruited. After 4 weeks of the intervention, 55 (51%) exhibited behavior change (X 2 = 18.03, p = .001). The decisional balance and smoking cessation self-efficacy scores significantly improved in the experimental stage. No significant differences were observed in the control stage. CONCLUSIONS: Four weeks of health education and counseling could effectively improve participants' stage of change, decisional balance, and smoking cessation self-efficacy. PRACTICE IMPLICATION: Healthcare professionals can play key roles in helping CAD patients successfully quit smoking through individual education and counseling.

Nicotine-related interpretation biases in cigarette smoking individuals.

Addictive behaviors are characterized by information processing biases, including substance-related interpretation biases. In the field of cigarette smoking, such biases have not been investigated yet. The present study thus adopted an open-ended scenario approach to measure smoking-related interpretation biases. Individuals who smoke, those who ceased smoking, and those without a smoking history (total sample N = 177) were instructed to generate spontaneous continuations for ambiguous, open-ended scenarios that described either a smoking-related or neutral context. Overall, people who smoke generated more smoking-related continuations in response to smoking-relevant situations than non-smoking individuals or people who had stopped smoking, providing evidence for a smoking-related interpretation bias. When differentiating for situation type within smoking-relevant scenarios, smoking individuals produced more smoking-related continuations for positive/social and habit/addictive situations compared to negative/affective ones. Additionally, the tendency to interpret habit/addictive situations in a smoking-related manner was positively associated with cigarette consumption and levels of nicotine dependence. Exploratory analyses indicated that other substance-related continuations were correlated with their respective behavioral counterparts (e.g., the level of self-reported alcohol or caffeine consumption). The present study is the first to demonstrate smoking-related interpretation biases in relation to current cigarette smoking. Future studies should investigate the causal role of such biases in the initiation and/or maintainance of nicotine addiction and the merit of Interpretation-Bias-Modification training to support smoking cessation.

Effectiveness of digital tools for smoking cessation in Asian countries: a systematic review.

AIM: The use of tobacco is responsible for many preventable diseases and deaths worldwide. Digital interventions have greatly improved patient health and clinical care and have proven to be effective for quitting smoking in the general population due to their flexibility and potential for personalization. However, there is limited evidence on the effectiveness of digital interventions for smoking cessation in Asian countries. METHODS: Three major databases - Web of Science (WOS), Scopus, and PubMed - for relevant studies published between 1 January 2010 and 12 February 2023 were searched for studies evaluating the effectiveness of digital intervention for smoking cessation in Asian countries. RESULTS: A total of 25 studies of varying designs were eligible for this study collectively involving a total of n = 22,005 participants from 9 countries. Among different digital tools for smoking cessation, the highest abstinence rate (70%) was reported with cognitive behavioural theory (CBT)-based smoking cessation intervention via Facebook followed by smartphone app (60%), WhatsApp (59.9%), and Pharmacist counselling with Quit US smartphone app (58.4%). However, WhatsApp was preferred over Facebook intervention due to lower rates of relapse. WeChat was responsible for 15.6% and 41.8% 7-day point prevalence abstinence. For telephone/text messaging abstinence rate ranged from 8-44.3% and quit rates from 6.3% to 16.8%. Whereas, no significant impact of media/multimedia messages and web-based learning on smoking cessation was observed in this study. CONCLUSION: Based on the study findings the use of digital tools can be considered an alternative and cost-effective smoking cessation intervention as compared to traditional smoking cessation interventions.

Predictors of Nicotine Replacement Therapy Adherence: Mixed-Methods Research With a Convergent Parallel Design.

BACKGROUND: Few studies have examined the effect of baseline attitudes toward nicotine replacement therapy (NRT) on its actual adherence in a smoking cessation intervention. PURPOSE: This study (i) examined the predictability of baseline variables (quantitative data) on NRT adherence and (ii) explored the congruence of participants' statements about NRT products (qualitative data) during counseling sessions with their baseline attitudes. METHODS: This is a mixed-methods research study using a convergent parallel design. Participants included 74 individuals in the treatment group who received behavioral counseling and combination NRT. A Poisson regression analysis was performed to identify baseline variables predicting NRT adherence. Thematic analysis was completed with a subset of participants (n = 38) who varied in NRT attitude scores and adherence. A joint display was created to integrate quantitative and qualitative data and discover convergence. RESULTS: Approximately 59% of the participants (41/74) used NRT continuously for ≥5 weeks. Having negative attitudes toward NRT and depressive symptoms predicted NRT adherence even after controlling for education and anxiety symptoms. Thematic analysis revealed that NRT adherence is a learning process that consists of the following three distinctive but interrelated phases: (i) information needs, (ii) comprehensive readiness, and (iii) experiential learning. Of the 38 participants, 34 (89.5%) showed convergence between baseline attitude scores and statements about NRT made during counseling sessions. CONCLUSIONS: Individuals who have negative attitudes toward NRT are less likely to use the products in a smoking cessation intervention. Counselors should assess attitudes toward NRT at baseline and address them proactively during counseling sessions.

Few research studies have explored how attitudes toward nicotine substitutes (nicotine patches, gum, and lozenges) affect people's adherence to those substitutes (using them consistently as directed). This study examined (i) whether age, gender, education, attitudes toward the substitutes, and depressive and anxiety symptoms would predict peoples' adherence to these nicotine substitutes during a study to help stop smoking and (ii) whether peoples' statements about their experiences with the substitutes would reveal any patterns. The study was conducted with 74 individuals who received behavioral counseling and combination nicotine substitutes. Having negative attitudes toward the substitutes and depressive symptoms predicted adherence. Age, gender, education, positive attitudes, and anxiety symptoms did not. Statements from a subset of participants (n = 38) revealed that adherence to the substitutes is a learning process that consists of the following three phases: (i) needing more information assuring the safety of the substitutes, (ii) being mentally and situationally ready, and (iii) learning while being involved in the process such as "trial and error." Individuals who have negative attitudes toward the substitutes are less likely to use them, and counselors should assess attitudes toward nicotine replacement therapy before suggesting their use and address these attitudes proactively during smoking cessation counseling sessions.

Changes in weight among individuals with psychiatric conditions or socioeconomic disadvantage assigned to smoke very low nicotine content cigarettes.

Nicotine abstinence leads to weight gain, which could be an unintended consequence of a nicotine reduction policy. This secondary analysis used weekly assessments of weight and ratings of "increased appetite/hunger/weight gain" collected in three 12-week, randomized controlled trials evaluating the effects of cigarettes differing in nicotine dose (15.8, 2.4, or 0.4 mg/g) among individuals with affective disorders, opioid use disorder (OUD), and socioeconomically disadvantaged women. Linear mixed models tested differences by dose and time. Analyses first collapsed across populations and then separated out individuals with OUD because biomarkers suggested they used substantially more noncombusted nicotine. Across populations, weight increased significantly over time, averaging 1.03 kg (p < .001), but did not vary by dose nor was there any interaction of dose/time. "Increased appetite/hunger/weight gain" ratings increased significantly as a function of dose, with differences between low and high doses (1.95 and 1.73, respectively, p = .01), but not by time nor any interaction. In the combined group of individuals with affective disorders and socioeconomically disadvantaged women, weight and "increased appetite/hunger/weight gain" ratings increased significantly by dose, with differences between low and high doses (1.43 vs. 0.73 kg, p = .003 and 2.00 vs. 1.76, p = .02, respectively). Among individuals with OUD, there were no significant effects of any kind on either outcome. Individuals with affective disorders and socioeconomically disadvantaged women gained weight and reported more subjective appetite/weight gain when given 0.4, but not 2.4 mg/g cigarettes, despite comparable decreases in nicotine exposure. However, neither change was clinically significant, suggesting minimal short-term adverse consequences of a nicotine reduction policy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Impact on patient attitudes towards lung cancer screening and smoking cessation with radiology consultation: Pilot survey project.

PURPOSE: We developed a novel patient-radiologist consultation for patients scheduled for lung cancer screening (LCS). We hypothesized that this intervention would improve patient attitudes towards LCS adherence and smoking cessation. METHODS: This quality improvement project enrolled 38 LCS patients (a majority were African American) and included 20 current and 18 former smokers. The intervention, a 5-10 min consultation with a radiologist who provided preliminary interpretation of pertinent imaging findings in conjunction with smoking cessation counseling, took place in the radiology reading room immediately after the low dose computed tomography (LDCT) patient scan. Pre- and post-intervention surveys assessed patient attitudes towards LCS and smoking cessation. RESULTS: All recruited patients consented to participate in this project. Regarding viewing their LCS imaging, 86.8% (33/38) expressed general interest initially, with 100.0% (38/38) being more interested afterwards. On LCS logistics, 71.1% (27/38) reported prior knowledge at baseline, while 89.5% (34/38) reported being more informed following the intervention. Among current smokers, 90.0% (18/20) were already motivated towards quitting smoking at baseline, with 100.0% (20/20) exiting the intervention being more interested in doing so. Regarding smoking cessation resources, 95.0% (19/20) were interested in accessing such resources at baseline, and 90.0% (18/20, 2 were same/neutral) were more interested afterwards. CONCLUSIONS: Patients' attitudes towards LCS and self-reported interest in quitting smoking were directionally higher after the consultation than at baseline. Incorporating LCS consultations with radiologists as part of patient-centered care provides a resource to educate patients on their own LCS imaging findings while promoting LCS adherence and smoking cessation.