Treatment of Tobacco Smoking: A Review.

IMPORTANCE: More deaths in the US are attributed to cigarette smoking each year than to any other preventable cause. Approximately 34 million people and an estimated 14% of adults in the US smoke cigarettes. If they stopped smoking, they could reduce their risk of tobacco-related morbidity and mortality and potentially gain up to 10 years of life. OBSERVATIONS: Tobacco smoking is a chronic disorder maintained by physical nicotine dependence and learned behaviors. Approximately 70% of people who smoke cigarettes want to quit smoking. However, individuals who attempt to quit smoking make an average of approximately 6 quit attempts before achieving long-term abstinence. Both behavioral counseling and pharmacotherapy while using nicotine replacement therapy (NRT) products, varenicline, or bupropion are effective treatments when used individually, but they are most effective when combined. In a meta-analysis including 19 488 people who smoked cigarettes, the combination of medication and behavioral counseling was associated with a quit rate of 15.2% over 6 months compared with a quit rate of 8.6% with brief advice or usual care. The EAGLES trial, a randomized double-blind clinical trial of 8144 people who smoked, directly compared the efficacy and safety of varenicline, bupropion, nicotine patch, and placebo and found a significantly higher 6-month quit rate for varenicline (21.8%) than for bupropion (16.2%) and the nicotine patch (15.7%). Each therapy was more effective than placebo (9.4%). Combining a nicotine patch with other NRT products is more effective than use of a single NRT product. Combining drugs with different mechanisms of action, such as varenicline and NRT, has increased quit rates in some studies compared with use of a single product. Brief or intensive behavioral support can be delivered effectively in person or by telephone, text messages, or the internet. The combination of a clinician's brief advice to quit and assistance to obtain tobacco cessation treatment is effective when routinely administered to tobacco users in virtually all health care settings. CONCLUSIONS AND RELEVANCE: Approximately 34 million people in the US smoke cigarettes and could potentially gain up to a decade of life expectancy by stopping smoking. First-line therapy should include both pharmacotherapy and behavioral support, with varenicline or combination NRT as preferred initial interventions.

Balancing Consideration of the Risks and Benefits of E-Cigarettes.

The topic of e-cigarettes is controversial. Opponents focus on e-cigarettes' risks for young people, while supporters emphasize the potential for e-cigarettes to assist smokers in quitting smoking. Most US health organizations, media coverage, and policymakers have focused primarily on risks to youths. Because of their messaging, much of the public-including most smokers-now consider e-cigarette use as dangerous as or more dangerous than smoking. By contrast, the National Academies of Science, Engineering, and Medicine concluded that e-cigarette use is likely far less hazardous than smoking. Policies intended to reduce adolescent vaping may also reduce adult smokers' use of e-cigarettes in quit attempts. Because evidence indicates that e-cigarette use can increase the odds of quitting smoking, many scientists, including this essay's authors, encourage the health community, media, and policymakers to more carefully weigh vaping's potential to reduce adult smoking-attributable mortality. We review the health risks of e-cigarette use, the likelihood that vaping increases smoking cessation, concerns about youth vaping, and the need to balance valid concerns about risks to youths with the potential benefits of increasing adult smoking cessation.

Negative affect and the utilization of tobacco treatment among adult smokers with cancer.

OBJECTIVE: We investigated the patterns of tobacco treatment utilization among US adult smokers with cancer and the role of negative affect as potential individual-level psychosocial barriers and facilitators influencing quit attempts and tobacco treatment utilization. METHODS: We analyzed data from the adult sample in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Using structural equation modeling, we examined (1) the association between cancer diagnosis and negative affect (e.g., depressive mood, anxiety, and distress) and (2) the associations between negative affect and smoking cessation behaviors (i.e., quit attempts and tobacco treatment utilization). RESULTS: Compared to adults without cancer, cancer survivors were more likely to have attempted to quit tobacco use in the past 12 months (p < 0.05) and experienced increased negative affect (p < 0.01). However, negative affect appeared to be a psychological barrier to quit attempts, as it was associated with lower likelihood of attempting to quit (p < 0.05). On the other hand, among past-12-month quit attempters, negative affect was related to higher likelihood of using any type of tobacco treatment (p < 0.001). CONCLUSIONS: Negative affect may be a potential underlying mechanism in the relationship between cancer diagnosis status and quit attempts and tobacco treatment utilization, influencing the utilization of tobacco treatment among smokers with cancer. Research is needed to investigate whether integrating emotional management in the oncology setting may effectively aid smoking cessation among patients with cancer.

The Impact of Surgeon Adherence to Preoperative Optimization of Hernia Repairs.

BACKGROUND: At the patient level, optimizing risk factors before surgery is a proven approach to improve patient outcomes after hernia repair. However, nearly 25% of patients are not adequately optimized before surgery. It is currently unknown how surgeon-level adherence to preoperative optimization impacts postoperative outcomes. In this context, we evaluated the association between surgeon adherence to optimization practices and surgeon-level postoperative outcomes. MATERIALS AND METHODS: Michigan Surgical Quality Collaborative data from 2014 to 2018 was analyzed to examine rates of surgeon adherence to preoperative optimization when performing elective ventral and incisional hernia repair. Adherence was defined as operating on patients who were nontobacco users with a body mass index >18.5 kg/m2 and <40 kg/m2. Surgeons were assigned a risk- and reliability-adjusted adherence rate which was used to divide surgeons into tertiles. Outcomes were compared between adherence tertiles. RESULTS: Across 70 hospitals in Michigan, 15,016 patients underwent ventral and incisional hernia repair, cared for by 454 surgeons. Surgeon adherence to preoperative optimization ranged from 51% to 76%. Surgeons in the lowest optimization tertile had higher rates of emergency department visits (8.78% versus 7.05% versus 7.03%, P < 0.001), serious complications (2.12% versus 1.56% versus 1.84%, P = 0.041), and any complication (4.08% versus 3.37% versus 4.04%, P = 0.043), than middle and high optimization tertiles. CONCLUSIONS: Surgeons' clinical outcomes, including complication rates, are affected by the proportion of their patients who are preoperatively optimized with regard to obesity and tobacco use. These results suggest that surgeons can improve their postoperative outcomes by addressing these issues before surgery.

Healthcare Professionals' Beliefs, Attitudes, Knowledge, and Behavior Around Vaping in Pregnancy and Postpartum: A Qualitative Study.

INTRODUCTION: Finding effective ways to help pregnant women quit smoking and maintain long-term abstinence is a public health priority. Electronic cigarettes (ie, vaping) could be a suitable cessation tool in pregnancy for those who struggle to quit; however, healthcare professionals (HCP) must be informed about these devices to offer appropriate advice. This study used the Capability, Opportunity, Motivation, and Behavior (COM-B) model and Theoretical Domains Framework (TDF) to explore HCP attitudes towards vaping in pregnancy and postpartum; beliefs about the health risks of vaping; perceived barriers and facilitators of vaping in pregnancy; knowledge of current guidelines and policies; and training needs. METHODS: Interviews (n = 60) were conducted with midwives (n = 17), health visitors (n = 10), general practitioners (n = 15) and stop smoking specialists (n = 18) across the United Kingdom. Interview transcriptions were analyzed thematically using the framework approach and the COM-B. RESULTS: Discussing vaping as a tool for quitting smoking in pregnancy was prevented by a lack of capability (limited knowledge of vaping, lack of training in smoking cessation); lack of opportunity (restricted by organizational policies and guidelines, lack of time and financial issues impacting on training), and negative social influences (sensationalist media and stigma associated with vaping in pregnancy); and lack of motivation (fear of future litigation and comebacks should adverse effects from vaping arise). CONCLUSIONS: Factors related to capability, opportunity, and motivation were identified that influence HCPs attitudes and behaviors towards vaping in pregnancy. Gaps in knowledge and training needs were identified, which could inform the development of targeted vaping training. IMPLICATIONS: Vaping could be suitable in pregnancy for those struggling to quit smoking. However, HCPs must be informed about these devices to offer appropriate advice. These data extend our knowledge of factors influencing HCP attitudes and behaviors towards vaping in pregnancy. Generally, vaping was perceived as safer than cigarettes, but a perceived lack of evidence, health and safety risks, dependency, and regulation issues were concerning. Considering our findings, greater efforts are needed to ensure HCPs are sufficiently informed about vaping and guidelines available. More importance should be placed on training for all HCPs who have contact with pregnant women.

Comparative Effectiveness of Group-Delivered Acceptance and Commitment Therapy versus Cognitive Behavioral Therapy for Smoking Cessation: A Randomized Controlled Trial.

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.

Changes in Nicotine Metabolite Ratio Among Daily Smokers Receiving Treatment for Alcohol Use Disorder.

INTRODUCTION: Alcohol may influence the nicotine metabolite ratio (NMR), an index of the rate of nicotine metabolism that is associated smoking level and lapses. We examined if NMR changes during alcohol use disorder (AUD) treatment and how changes in NMR relate to reductions in drinking. METHODS: Using an observational design, 22 daily smokers [63.64% male, Mage = 46.77 (11.37)] receiving AUD treatment completed baseline and follow-up appointments 3 weeks apart. At each appointment, daily alcohol and cigarette use, salivary and urinary NMR, nicotine exposure via urinary total nicotine equivalents, and carbon monoxide were assessed. Multilevel models examined the change over time in NMR and its within-person relations with changes in drinks per week. Sex differences were evaluated. RESULTS: There were significant reductions in both salivary and urinary NMR over time for men (p = .02; p = .01, respectively) but not for women (p = .54; p = .90, respectively). There were no changes over time in total nicotine equivalents (p = .09), carbon monoxide (p = .44), or cigarette use (p = .44) in either sex. Drinks per week were significantly reduced for men (29.12 drink reduction, p < .001) but not for women (2.28 drink reduction, p = .80); however, within-person changes in drinking were not associated with changes in salivary or urinary NMR (p = .99; p = .19). CONCLUSIONS: The reduction in alcohol use and NMR in men provides indirect support for alcohol increasing NMR. In contrast, the low baseline drinking and lack of alcohol reduction likely underlie the lack of change in NMR in females. Reasons for NMR reductions during AUD treatment and its effects on smoking require further study. IMPLICATIONS: Three weeks of alcohol use disorder treatment among daily smokers coincided with a significant reduction in both alcohol use and NMR for men; however, neither drinking level nor NMR changed for women. The findings indirectly support that heavy drinking increases NMR, which is reversed with reduced drinking. Additional research is needed to establish if these changes in NMR correlate with smoking and cessation outcomes.

Decrease in Resting Heart Rate Measured Using Smartphone Apps to Verify Abstinence From Smoking: An Exploratory Study.

INTRODUCTION: Verifying self-reports of smoking abstinence is challenging in studies that involve remote data collection. Resting heart rate (HR) decreases during smoking abstinence. This study assessed whether a decrease in resting HR measured using freely available smartphone apps could potentially be used to verify smoking abstinence. METHODS: This study involved a repeated measures experimental design, with data collection in natural setting. Participants were 18 adult, daily smokers. They recorded resting HR in beats per minute (bpm) using freely available smartphone apps during five timepoints (two in the morning and three postnoon) on each of 3 days. The outcome measure was the mean of the postnoon HR recordings. The experimental condition for each of the 3 days (counterbalanced order) was as follows: (1) smoking as usual, (2) not smoking without nicotine replacement therapy (NRT), or (3) not smoking but using NRT. Abstinence was verified using expired-air carbon monoxide (CO) concentration. RESULTS: Compared with the smoking as usual condition, mean HR was 13.4 bpm lower (95% confidence interval [CI] = 5.4 to 21.4, p = .001) in the not smoking without NRT condition and 10.4 bpm lower (95% CI = 3.1 to 17.8, p = 0.004) in the not smoking with NRT condition. There was no statistically significant difference in HR between the two not smoking conditions (p = .39). Abstinence during not smoking days without and with NRT was CO-verified in 18/18 and in 16/18 cases, respectively. CONCLUSIONS: Self-recording of resting HR in natural setting using smartphone apps shows a reliable decrease in response to smoking abstinence and may provide a basis for remote verification in smoking cessation studies. IMPLICATIONS: Remote verification of self-reported abstinence in smoking cessation studies remains challenging. Smoking abstinence has been shown to decrease resting HR under laboratory conditions. This study demonstrated that self-recording using freely available smartphone apps shows reliable decreases in resting HR during smoking abstinence and may provide a basis for inexpensive remote verification of smoking abstinence.

Smoking Decisions: Altered Reinforcement Learning Signals Induced by Nicotine State.

INTRODUCTION: Alterations in dopamine signaling play a key role in reinforcement learning and nicotine addiction, but the relationship between these two processes has not been well characterized. We investigated this relationship in young adult smokers using a combination of behavioral and computational measures of reinforcement learning. METHODS: We asked moderately dependent smokers to engage in a reinforcement learning task three times: smoking as usual, smoking abstinence, and cigarette consumption. Participants' trial-to-trial training choices were modeled using a reinforcement learning model that calculates separate learning rates associated with positive and negative prediction errors. RESULTS: We found that learning from positive prediction error signals is reduced during smoking abstinence and enhanced following cigarette consumption. By contrast, learning from negative prediction error signals was enhanced during smoking abstinence and reduced following cigarette consumption. Finally, when tested with novel pairs of stimuli, participants were relatively better at selecting the positive feedback predicting stimuli than avoiding the negative feedback predicting stimuli during the smoking as usual session, a pattern that reversed following cigarette consumption. CONCLUSIONS: These findings provide a specific computational account of altered reinforcement learning induced by smoking state (abstinence and consumption) and may represent a unique target for treatment of nicotine addiction. IMPLICATIONS: This study illustrates the potential of computational psychiatry for understanding reinforcement learning deficits associated with substance use disorders in general and nicotine addiction in particular. We found that learning from positive prediction error signals is reduced during smoking abstinence and enhanced following cigarette consumption. By contrast, learning from negative prediction error signals was enhanced during smoking abstinence and reduced following cigarette consumption. By highlighting important computational differences between three states of smoking, these findings hold out promise for integrating experimental, computational, and theoretical analyses of decision-making function together with research on addiction-related disorders.

Web-Based Contingency Management for Adolescent Tobacco Smokers: A Clinical Trial.

INTRODUCTION: Adolescence is a critical time when the majority of tobacco users initiate smoking. Contingency management for adolescent smoking cessation has shown promise in previous studies, but efficacy following removal of contingencies is not well understood. This study examined a remote form of contingency management among non-treatment-seeking adolescent smokers. METHODS: Participants (N = 127) submitted breath carbon monoxide (CO) three times daily throughout a 42-day program. For this randomized trial, participants in the active condition (n = 63) were reinforced for providing CO measurements on schedule and below a set criterion, whereas those in the control condition (n = 64) were reinforced for providing CO measurements on schedule. Self-reported smoking and urinary cotinine levels were collected at several timepoints. RESULTS: Active condition showed greater within-group reductions in CO levels relative to control condition, but not at 3- or 6-month follow-up. Active condition reported significantly less smoking during treatment compared to control condition, but not at follow-up. There were no significant differences for urinary cotinine. Overall treatment adherence was low, with only 37% and 51% of possible CO samples being submitted among active and control, respectively. Poor treatment adherence may explain the disparity between CO and cotinine results, and poor follow-up treatment efficacy. CONCLUSIONS: This study replicates feasibility of a remote form of contingency management for adolescent smoking. CO results suggest active condition reduced smoking within group, but treatment adherence and posttreatment efficacy was poor. Future research should focus on increasing adherence for this type of program among adolescent smokers. IMPLICATIONS: This study demonstrates feasibility of a remote form of contingency management therapy for smoking cessation among adolescents, while providing posttreatment efficacy data. Within-group efficacy of this form of treatment is suggested, but treatment adherence and follow-up efficacy were poor. This study underscores the need for further development of contingency management therapy for adolescent smoking cessation, which emphasizes better treatment adherence and posttreatment efficacy.

2018 Langley Award for Basic Research on Nicotine and Tobacco: Bringing Precision Medicine to Smoking Cessation.

INTRODUCTION: Large segments of the world population use combustible cigarettes, and our society pays a high price for smoking, through increased healthcare expenditures, morbidity and mortality. The development of combustible cigarette smoking requires the initiation of smoking and a subsequent chain of behavioral transitions from experimental use, to established regular use, to the conversion to addiction. Each transition is influenced by both environmental and genetic factors, and our increasing knowledge about genetic contributions to smoking behaviors opens new potential interventions. METHODS: This review describes the journey from genetic discovery to the potential implementation of genetic knowledge for the treatment of tobacco use disorder. RESULTS AND CONCLUSIONS: The field of genetics applied to smoking behaviors has rapidly progressed with the identification of highly validated genetic variants that are associated with different smoking behaviors. The large scale implementation of this genetic knowledge to accelerate smoking cessation represents an important clinical challenge in precision medicine.

Text Message Support for Smoking Cessation During Ramadan: A Focus Group Study With Somali Immigrant Muslim Men.

INTRODUCTION: Somali Muslim male immigrants in Minnesota have a high prevalence of smoking, estimated at 44%, compared with the average smoking rate for adults in the United States (14%). However, the literature has reported spontaneous reductions of smoking during Ramadan. This study sought to gather the views of Somali Muslim men on how faith impacts their smoking, and determine what messaging to incorporate into a tailored text messages intervention that draws on the Muslim faith beliefs and practices during Ramadan to promote smoking cessation. METHODS: Thirty-seven Somali adult male smokers were recruited from community settings to participate in one of five focus groups in Minneapolis and Saint Paul, Minnesota. The research study team developed a semi-structured focus group guide that explored: (1) the experience of Muslim immigrants quitting smoking during Ramadan, (2) views on text messaging interventions to reduce smoking focusing on health and faith, and (3) views on the relationship between faith and smoking. A thematic analysis was conducted. RESULTS: Participants reported reductions in smoking during Ramadan, which was mostly achieved without formal treatment (ie, willpower). There was interest in text messaging interventions that incorporated faith and health-related messages, and that would be delivered around the time of Ramadan. Participants described concerns about the adverse health effects of smoking, including the risk of chronic health issues, cancer, and death. CONCLUSION: Combining faith and health-related text-based messaging, and tailoring interventions around and beyond Ramadan, maybe a valuable approach to help address smoking disparities in the Somali immigrant community. IMPLICATIONS: Ramadan offers a unique window of opportunity to intervene upon smoking for Somali Muslim immigrant men, for whom rates of smoking are high. Combining faith and health-related text-based messaging, and tailoring interventions around and beyond Ramadan, maybe a valuable approach to help address these serious smoking disparities.

Quitline Treatment Enrollment and Cessation Outcomes Among Smokers Linked With Treatment via Ask-Advise-Connect: Comparisons Among Smokers With and Without HIV.

INTRODUCTION: Given that people living with HIV (PLWH) are disproportionately burdened by tobacco-related morbidity and mortality, it is critically important to understand the degree to which evidence-based cessation interventions are utilized by and are effective among PLWH. AIMS AND METHODS: This secondary data analysis aimed to examine differences in Quitline treatment enrollment and 6-month cessation outcomes among smokers seeking care at 1 HIV clinic and 12 non-HIV clinics that were part of a large healthcare system in the greater Houston, Texas metropolitan area, United States. Data were from a 34-month (April 2013-February 2016) one-group implementation trial that evaluated the Ask-Advise-Connect (AAC) approach to linking smokers with Quitline treatment. Primary outcomes included (1) treatment enrollment and (2) 6-month self-reported and biochemically confirmed abstinence. RESULTS: The smoking status of 218 915 unique patients was recorded in the electronic health record; 5285 (2.7%) of these patients were seen at the HIV clinic where the smoking prevalence was 45.9%; smoking prevalence at the non-HIV clinics was 17.9%. The proportion of identified smokers who enrolled in treatment was 10.8% at the HIV clinic and 11.8% at the non-HIV clinics. The self-reported abstinence rate was 18.7% among HIV clinic patients and 16.5% among non-HIV clinic patients. Biochemically confirmed abstinence was lower at 4.2% and 4.5%, respectively (all ps > .05). CONCLUSIONS: AAC resulted in rates of Quitline treatment enrollment and abstinence rates that were comparable among patients seen at an HIV clinic and non-HIV clinics. Findings suggest that AAC should be considered for widespread implementation in HIV clinics. IMPLICATIONS: PLWH were as likely as other patients to enroll in evidence-based tobacco cessation treatment when it was offered in the context of a primary care visit. Cessation outcomes were also comparable. Therefore, standard care for PLWH should include routine screening for smoking status and referrals to cessation treatment.

Engagement and Short-term Abstinence Outcomes Among Blacks and Whites in the National Cancer Institute's SmokefreeTXT Program.

INTRODUCTION: Text-messaging programs for smoking cessation improve abstinence outcomes in the general population. However, little is known about engagement and abstinence outcomes among African Americans in text-messaging smoking cessation programs. The current study compares engagement and abstinence between Blacks and Whites in the National Cancer Institute's SmokefreeTXT program. METHOD: Data were from Blacks (n = 1333) and Whites (n = 7154) who enrolled in the 6-week SmokefreeTXT program between August 2017 and June 2018. We assessed the association between race and program initiation and completion; responses to weekly smoking cessation, mood, and craving assessments; and self-reported abstinence using multivariable logistic regression. RESULTS: Blacks and Whites initiated the program at a similar frequency, yet Blacks were more likely to complete the program (adjusted odds ratio [AOR] = 1.71, 95% confidence interval [CI] = 1.43 to 2.06). Blacks were less likely to respond to all seven abstinence, mood, and craving assessments (eg, AOR of quit day responses = 0.63, 95% CI = 0.51 to 0.77; 6-week AOR = 0.50, 95% CI = 0.34 to 0.72). Self-reported abstinence was lower among Blacks for all seven smoking assessments (eg, quit day abstinence AOR = 0.52, 95% CI = 0.41 to 0.68; 6-week abstinence AOR = 0.58, 95% CI = 0.38 to 0.89). CONCLUSION: Although Blacks were more likely than Whites to complete the SmokefreeTXT program, they were less likely to engage with the program by responding to assessment questions and had lower abstinence rates. Qualitative research may reveal unique barriers to engagement among Blacks. IMPLICATIONS: Black smokers enrolled in a nationwide mobile smoking cessation program at a rate comparable to White smokers. However, they were significantly less likely to engage with the program or quit smoking. This study highlights the need to examine barriers to cessation for Black smokers.

Inequalities, harm reduction and non-combustible nicotine products: a meta-ethnography of qualitative evidence.

BACKGROUND: We sought to review qualitative evidence on how smokers in different socioeconomic groups engage with non-combustible nicotine products (NCNP), including electronic cigarettes and nicotine replacement therapies, in order to provide insight into how these products might impact on smoking inequalities. METHODS: We searched ten electronic databases in February 2017 using terms relating to NCNP and socioeconomic status. We included qualitative studies that were published since 1980 and were available in English. We used guidelines adapted from the Critical Appraisal Skills Programme for appraising qualitative research. RESULTS: The review only identified studies exploring the attitudes of socioeconomically disadvantaged smokers towards NCNP for harm reduction or cessation purposes (i.e. we did not identify any relevant studies of more advantaged socioeconomic groups). Using a lines-of-argument meta-ethnographic approach, we identified a predominantly pessimistic attitude to NCNP for harm reduction or cessation of smoking due to: wider circumstances of socioeconomic disadvantage; lack of a perceived advantage of alternative products over smoking; and a perceived lack of information about relative harms of NCNP compared to smoking. Optimistic findings, although fewer, suggested the potential of NCNP being taken up among smokers experiencing socioeconomic disadvantage. CONCLUSIONS: Overall, our review highlights the importance of considering the social, cultural and economic circumstances that influence experiences of smoking and of alternative product use.

Assessment of a Personal Interactive Carbon Monoxide Breath Sensor in People Who Smoke Cigarettes: Single-Arm Cohort Study.

BACKGROUND: Tobacco use is the leading cause of preventable morbidity and mortality. Existing evidence-based treatments are underutilized and have seen little recent innovation. The success of personal biofeedback interventions in other disease states portends a similar opportunity in smoking cessation. The Pivot Breath Sensor is a personal interactive FDA-cleared (over-the-counter) device that measures carbon monoxide (CO) in exhaled breath, enabling users to link their smoking behavior and CO values, and track their progress in reducing or quitting smoking. OBJECTIVE: The objective of this study is to assess the Pivot Breath Sensor in people who smoke cigarettes, evaluating changes in attitudes toward quitting smoking, changes in smoking behavior, and use experience. METHODS: US adults (18-80 years of age, ≥10 cigarettes per day [CPD]) were recruited online for this remote 12-week study. Participants completed a screening call, informed consent, and baseline questionnaire, and then were mailed their sensor. Participants were asked to submit 4 or more breath samples per day and complete questionnaires at 1-4, 8, and 12 weeks. Outcomes included attitudes toward quitting smoking (Stage of Change, success to quit, and perceived difficulty of quitting), smoking behavior (quit attempts, CPD reduction, and 7-, 30-day point prevalence abstinence [PPA]), and use experience (impact and learning). RESULTS: Participants comprised 234 smokers, mean age 39.9 (SD 11.3) years, 52.6% (123/234) female, mean CPD 20.3 (SD 8.0). The 4- and 12-week questionnaires were completed by 92.3% (216/234) and 91.9% (215/234) of participants, respectively. Concerning attitude outcomes, at baseline, 15.4% (36/234) were seriously thinking of quitting in the next 30 days, increasing to 38.9% (84/216) at 4 weeks and 47.9% (103/215) at 12 weeks (both P<.001). At 12 weeks, motivation to quit was increased in 39.1% (84/215), unchanged in 54.9% (118/215), and decreased in 6.0% (13/215; P<.001). Additional attitudes toward quitting improved from baseline to 12 weeks: success to quit 3.3 versus 5.0 (P<.001) and difficulty of quitting 2.8 versus 4.3 (P<.001). Regarding smoking behavior, at 4 weeks, 28.2% (66/234) had made 1 or more quit attempts (≥1 day of abstinence), increasing to 48.3% (113/234) at 12 weeks. At 4 weeks, 23.1% (54/234) had reduced CPD by 50% or more, increasing to 38.5% (90/234) at 12 weeks. At 12 weeks, CPD decreased by 41.1% from baseline (P<.001), and 7- and 30-day PPA were 12.0% (28/234) and 6.0% (14/234), respectively. Concerning use experience, 75.3% (171/227) reported the sensor increased their motivation to quit. More than 90% (>196/214) indicated the sensor taught them about their CO levels and smoking behavior, and 73.1% (166/227) reported that seeing their CO values made them want to quit smoking. CONCLUSIONS: Use of the Pivot Breath Sensor resulted in a significant increase in motivation to quit, a reduction in CPD, and favorable quit attempt rates. These outcomes confer increased likelihood of quitting smoking. Accordingly, the results support a role for biofeedback via personal CO breath sampling in smoking cessation. TRIAL REGISTRATION: ClinicalTrials.gov NCT04133064; https://clinicaltrials.gov/ct2/show/NCT04133064.

COPD Positive Screening with Spirometry Increases Motivation to Quit Tobacco Smoking in an Addiction Treatment Center.

Providing an on-site immediate diagnosis of Chronic Obstructive Pulmonary Disease (COPD) and lung age in tobacco smokers could be a motivational tool for smoking cessation. Our aim was to investigate the effects of an abnormal spirometry results on motivational change and subsequent smoking cessation. We conducted a retrospective analysis of smoking status after 3 months of tobacco counseling. Patients were recruited in an addiction outpatient center. Spirometry results were obtained with a portable device during the first visit. The sample was thus divided in 3 groups: COPD, subthreshold-group (no COPD but abnormal lung age) and normal spirometry. Among the three groups, we compared the immediate motivation change, difference in Q-MAT motivation scale score after minus before spirometry (Kruskal-Wallis test) and the smoking status after 3 months (Fisher test). We included 48 patients (37 males, median age 44 years, median cigarette-per-day 20). Spirometry results divided the sample in COPD (N = 13), subthreshold (N = 11) and normal group (N = 24). Mean Q-MAT score change after spirometry was different between groups (p = 0.019), greater in COPD (4.62 ± 3.38) than normal group (1.46 ± 3.11), and lower in patient with a co-occuring hazardous alcohol use (p = 7.6 × 10-3). Three-months smoking status was different between spirometry results groups (p = 0.0021). COPD (5/13, 38.5%) and subthreshold patients (6/10, 60.0%) had stopped more frequently than patients from the normal-group (2/22, 9.1%). The effect of immediate spirometry results on motivation to quit varies according to the screened pulmonary damages and hazardous alcohol use. It could be a useful tool in addiction treatment centers.

Barriers and facilitators to the implementation of brief interventions targeting smoking, nutrition, and physical activity for indigenous populations: a narrative review.

OBJECTIVE: This narrative review aimed to identify and categorize the barriers and facilitators to the provision of brief intervention and behavioral change programs that target several risk behaviors among the Indigenous populations of Australia, Canada, and New Zealand. METHODS: A systematic database search was conducted of six databases including PubMeD, Embase, CINAHL, HealthStar, PsycINFO, and Web of Science. Thematic analysis was utilized to analyze qualitative data extracted from the included studies, and a narrative approach was employed to synthesize the common themes that emerged. The quality of studies was assessed in accordance with the Joanna Briggs Institute's guidelines and using the software SUMARI - The System for the Unified Management, Assessment and Review of Information. RESULTS: Nine studies were included. The studies were classified at three intervention levels: (1) individual-based brief interventions, (2) family-based interventions, and (3) community-based-interventions. Across the studies, selection of the intervention level was associated with Indigenous priorities and preferences, and approaches with Indigenous collaboration were supported. Barriers and facilitators were grouped under four major categories representing the common themes: (1) characteristics of design, development, and delivery, (2) patient/provider relationship, (3) environmental factors, and (4) organizational capacity and workplace-related factors. Several sub-themes also emerged under the above-mentioned categories including level of intervention, Indigenous leadership and participation, cultural appropriateness, social and economic barriers, and design elements. CONCLUSION: To improve the effectiveness of multiple health behavior change interventions among Indigenous populations, collaborative approaches that target different intervention levels are beneficial. Further research to bridge the knowledge gap in this topic will help to improve the quality of preventive health strategies to achieve better outcomes at all levels, and will improve intervention implementation from development and delivery fidelity, to acceptability and sustainability.

An Exploration of Smoking-to-Vaping Transition Attempts Using a "Smart" Electronic Nicotine Delivery System.

INTRODUCTION: Electronic nicotine delivery systems (ENDS) are used to aid smoking cessation attempts; however, many smokers continue to smoke while using an ENDS (dual use). Although uncertainty remains regarding whether specific ENDS patterns hinder or support successful smoking cessation, recent advances in "smart" technology allow passive and active recording of behaviors in real time, enabling more detailed insights into how smoking and vaping patterns may coevolve. We describe patterns of ENDS initiation, and subsequent use, including any changes in cigarette consumption, among daily smokers using a "smart" ENDS (S-ENDS) to quit smoking. METHOD: An 8-week long mixed-methods feasibility study used Bluetooth-enabled S-ENDS that passively recorded real-time device use by participants (n = 11). Daily surveys administered via smartphones collected data on self-reported cigarette consumption. RESULTS: All 11 participants were dual users, at least initially, during their quit attempt. We observed three provisional vaping and smoking patterns: immediate and intensive ENDS initiation coupled with immediate, dramatic, and sustained smoking reduction, leading to smoking abstinence; gradual ENDS uptake with gradual smoking reductions, leading to daily dual use throughout the study period; and ENDS experimentation with return to exclusive smoking. For six participants, the patterns observed in week 1 were similar to the vaping and smoking patterns observed throughout the rest of the study period. CONCLUSION: Technological advances now allow fine-grained description of ENDS use and smoking patterns. Larger and longer studies describing smoking-to-vaping patterns, and estimating associations with smoking outcomes, could inform ENDS-specific cessation advice promoting full transition from smoking to exclusive ENDS use. IMPLICATIONS: The use of an S-ENDS that recorded real-time device use among daily smokers engaged in a quit attempt provides insight into patterns and trajectories of dual use (continuing to smoke while using ENDS), and the possible associations between ENDS initiation, subsequent use, and smoking cessation outcomes. Such work could support more targeted cessation counseling and technical advice for smokers using ENDS to quit smoking, reduce the risk of users developing long-term dual use patterns, and enhance the contributions ENDS may make to reducing smoking prevalence.

Twelve Million Smokers Look Online for Smoking Cessation Help Annually: Health Information National Trends Survey Data, 2005-2017.

Background: This study quantified the potential reach of Internet smoking cessation interventions to support calculations of potential population impact (reach × effectiveness). Using a nationally representative survey, we calculated the number and proportion of adult smokers that look for cessation assistance online each year. Methods: Five waves (2005, 2011, 2013, 2015, 2017) of the National Cancer Institute's Health Information National Trends Survey were examined. The survey asked US adults whether they ever go online to use the Internet, World Wide Web, or email and had used the Internet to look for information about quitting smoking within the past 12 months. We estimated the proportion and number of (1) all US adult smokers, and (2) online US adult smokers that searched for cessation information online. Cross-year comparisons were assessed with logistic regression. Results: The proportion of all smokers who searched online for cessation information increased over the past decade (p < .001): 16.5% in 2005 (95% CI = 13.2% to 20.4%), 20.9% in 2011 (95% CI = 15.55% to 28.0%), 25.6% in 2013 (95% CI = 19.7% to 33.0%), 23.4% in 2015 (95% CI = 16.9% to 31.0%), and 35.9% in 2017 (95% CI = 24.8% to 48.9%). Among online smokers only, approximately one third searched online for cessation information each year from 2005 through 2015. In 2017, that proportion increased to 43.7% (95% CI = 29.7% to 58.7%), when an estimated 12.4 million online smokers searched for cessation help. Conclusions: More than one third of all smokers turn to the Internet for help quitting each year, representing more than 12 million US adults. Implications: This research provides contemporary estimates for the reach of Internet interventions for smoking cessation. Such estimates are necessary to estimate the population impact of Internet interventions on quit rates. The research finds more than 12 million US smokers searched online for cessation information in 2017.