Effectiveness of the Green Heart Smartphone Application as a Self-Management Intervention for Hypertension and Dyslipidemia: A Randomized Clinical Trial.

BACKGROUND: Cardiovascular disease (CVD) is a major global health concern, the leading cause of death and disability. Thus, preventive interventions targeting modifiable risk factors are essential. Mobile-health technologies have emerged as promising tools for improving prevention by modifying risk factors. We created the "Green Heart" mobile app to help coronary artery disease (CAD) patients control their risk factors. The app has three modules: smoking cessation, dyslipidemia (DLP) control, and blood pressure (BP) management. This study evaluated the app's performance in monitoring hypertension (HTN) and DLP among known CAD cases. METHODS: A randomized controlled trial enrolled 1590 CAD subjects, including 1114 hypertensive patients and 1488 subjects with DLP, and assigned them randomly to paper-based education or application-based groups. RESULTS: Regarding HTN, after 6 months, we finally analyzed 545 and 546 hypertensive patients, assigned to the conventional and app groups, respectively. Patients in the app group were more likely to have their BP managed successfully (88.6% vs. 78.5%; P<0.001). The app group showed higher odds of successful BP management (odds ratio [OR]: 2.13; 95% CI: 1.51 - 3.03). Regarding DLP, we analyzed 728 patients in the conventional and 714 patients in the app group. A higher percentage of patients in the app group (24.8%) had low-density lipoprotein cholesterol (LDL-C) levels less than 70 mg/dL (16.1%; P<0.001). The app group showed higher odds of reducing LDL-C (OR: 1.72; 95% CI: 1.32-2.26). CONCLUSION: We found that using the Green Heart app in the self-monitoring setting significantly improved BP and DLP management across the study population.

[Smoking and tuberculosis]. / Tabac et tuberculose.

SMOKING AND TUBERCULOSIS. Tuberculosis and smoking are responsible for high mortality worldwide. Tuberculosis causes 9 million incident cases and 1.6 million deaths every year. Smoking increases the risk of infection by Mycobacterium tuberculosis and of severe tuberculosis disease with death or recurrence. Cessation of smoking improves the course of the disease, promoting adherence to anti-tuberculosis treatment and definitive cure. All health-care professionals involved in tuberculosis care must be involved to help smokers with tuberculosis to quit.

TABAC ET TUBERCULOSE. La tuberculose et le tabagisme sont à l'origine d'une importante mortalité dans le monde. La tuberculose cause 9 millions de cas incidents et 1,6 million de décès chaque année. Le tabagisme augmente les risques d'infection par Mycobacterium tuberculosis et de tuberculose maladie sévère avec décès ou récidive. L'arrêt du tabac améliore le cours de l'infection, favorisant l'adhésion des patients au traitement antituberculeux et la guérison définitive. Tous les professionnels de santé doivent s'investir dans la mission d'aide à l'arrêt du tabac des fumeurs atteints de tuberculose.

Smoking patterns and the intention to quit in German cancer patients: a cross-sectional study.

BACKGROUND: Continued smoking after a cancer diagnosis can be associated with lower treatment tolerance, poorer outcomes, and reduced quality of life compared to non-smoking cancer patients or to those who have quit. Yet about 60% of patients continue to smoke after being diagnosed and find it difficult to quit. To address this problem, it is necessary to identify current and past smoking patterns (e.g., frequency of use, types of tobacco products) and determine whether there is motivation to quit. Similarly, factors associated with continued smoking should be identified. These data will provide the basis for the development of smoking cessation programs tailored to the needs of cancer patients. METHODS: A questionnaire was distributed to cancer patients older than 18 years in a German Comprehensive Cancer Center. Participating cancer patients were divided into three main groups: 1) patients who stopped smoking before being diagnosed with cancer (Ex-before); 2) patients who stopped smoking after a cancer diagnosis (Ex-after); and 3) patients who currently smoke cigarettes (CS). Sociodemographic, medical, and psychosocial data were collected, as well as smoking patterns and the motivation to quit smoking. RESULTS: About half of patients (51%) who smoked before diagnosis continue to smoke after a cancer diagnosis. Being diagnosed with a tobacco-related cancer type was associated with a decreased probability of continued smoking. Patients with tobacco-related tumors and receiving positive support in burdensome situations were more likely to have a higher cigarette dependence. Of all CS, 59.1% had intention to quit, and 22.7% reported having taken action to quit. The support by a smoking cessation program was considered important. CS were willing to spend up to €100 for support and were open to multiple sessions per week, group sessions, one-on-one sessions and/or online support. CONCLUSION: These findings underscore the importance of educating cancer patients about the consequences of smoking and to provide them with support to quit. Identified risk factors may further help to recognize cancer patients with high risk of continued smoking after diagnosis. TRIAL REGISTRATION: The study was registered at OSF ( https://osf.io/3c9km ) and published as a study protocol at " https://bmjopen.bmj.com/content/13/4/e069570 ".

Evaluation of the impact of the COVID-19 pandemic on a smoking cessation service in Derbyshire: An interrupted time series analysis.

BACKGROUND: Data published early in the COVID-19 pandemic suggested that smokers infected with SARS-CoV-2 were more likely to need hospital treatment or die than non-smokers, and thus this was seen as a motivator to encourage smokers to make a quit attempt. Live Life Better Derbyshire (LLBD) is an integrated lifestyle service providing free support for residents Derbyshire, UK, who want to quit smoking. On 19 March 2020, LLBD converted from offering face-to-face cessation support to a smoking cessation service delivered remotely. METHODS: Interrupted time series analysis to investigate the impact of COVID-19, and the shift to remote delivery of smoking cessation support, on the number of smokers who accessed cessation support with LLBD, set a quit date, and self-reported having quit at 4-week follow-up. RESULTS: 11,393 episodes of smoking cessation support were opened with LLBD between 01 January 2018 and 31 December 2021. The weekly count of all outcomes was increasing prior to the date when LLBD converted to remote-only delivery. There was a 20% immediate drop in the number of episodes opened coinciding with this date (IRR 0.88, 95% CI 0.646-0.992) but no change in the number of quit dates set or 4-week quits or the underlying longer-term trends. CONCLUSIONS: The COVID-19 pandemic, and associated shift to remote delivery of smoking cessation support by LLBD, had no substantial sustained overall impact on measures of smoking cessation service activity and success.

Unveiling the Impact of Smokers' Self-Construals on the Effectiveness of Smoking Cessation Campaigns: A Comparative Analysis of E-Cigarettes and Combustible Cigarettes.

Objective: This research conducted two studies in South Korea to explore the relationship between smokers' self-construals and the types of cigarettes they use, emphasizing their combined effects on cessation campaign effectiveness. Methods: Study 1 explored how smokers' self-construals influenced their intentions to quit smoking or vaping, considering their primary cigarette usage. Study 2 further investigated this relationship within cessation campaigns, employing messages framed by both self-construal (independent vs. interdependent) and cigarette type (combustible vs. electronic). Results: The results of Study 1 showed that individuals with a strong interdependent self-construal were more likely to express intentions to quit smoking or vaping when using e-cigarettes compared to combustible cigarettes. Similarly, Study 2 demonstrated that cessation messages for e-cigarettes were more effective in eliciting intentions to quit when presented with an interdependent self-construal frame, while messages for combustible cigarettes showed greater effectiveness with an independent self-construal frame. Conclusion: Campaigns solely focused on independent self-construals might not effectively persuade e-cigarette users to quit, as they may prioritize communal wellbeing over individual benefits. Adapting anti-e-cigarette campaigns to align with the values of interdependent self-construals could yield better outcomes in promoting cessation among e-cigarette users.

The Experiences of People Who Smoke With Type 2 Diabetes: A Qualitative Interview Study Using the Capability, Opportunity, Motivation, and Behavior Model.

ABSTRACT: Few interventions to support smoking cessation include content specifically about diabetes. This is problematic, as people with diabetes face unique challenges when they stop smoking. The purpose of this study was to understand patients' needs and challenges in relation to smoking with Type 2 diabetes and assess the acceptability of a text message intervention to support smoking cessation. People who smoke and have Type 2 diabetes in the United States and the United Kingdom were recruited to participate in semistructured interviews (n = 20), guided by the Capability, Opportunity, Motivation, and Behavior model. A combination of inductive and deductive approaches with framework analysis was used to analyze the data. Results indicated that the participants' experiences related to the constructs of the Capability, Opportunity, Motivation, and Behavior model and the categories of mental health and diabetes distress were also notable parts of their experiences. Results can be used to guide intervention development in this unique group.

The efficacy and acceptability of pharmacological monotherapies and e-cigarette on smoking cessation: a systemic review and network meta-analysis.

Background and aims: Several pharmacological interventions, such as nicotine replacement therapy (NRT), varenicline, and bupropion, have been approved for clinical use of smoking cessation. E-cigarettes (EC) are increasingly explored by many RCTs for their potentiality in smoking cessation. In addition, some RCTs are attempting to explore new drugs for smoking cessation, such as cytisine. This network meta-analysis (NMA) aims to investigate how these drugs and e-cigarettes compare regarding their efficacy and acceptability. Materials and methods: This systematic review and NMA searched all clinical studies on smoking cessation using pharmacological monotherapies or e-cigarettes published from January 2011 to May 2022 using MEDLINE, COCHRANE Library, and PsychINFO databases. NRTs were divided into transdermal (TDN) and oronasal nicotine (ONN) by administrative routes, thus 7 network nodes were set up for direct and indirect comparison. Two different indicators measured the efficacy: prevalent and continuous smoking abstinence. The drop-out rates measured the acceptability. Results: The final 40 clinical studies included in this study comprised 77 study cohorts and 25,889 participants. Varenicline is more effective intervention to assist in smoking cessation during 16-32 weeks follow-up, and is very likely to prompt dropout. Cytisine shows more effectiveness in continuous smoking cessation but may also lead to dropout. E-cigarettes and oronasal nicotine are more effective than no treatment in encouraging prevalent abstinence, but least likely to prompt dropout. Finally, transdermal nicotine delivery is more effective than no treatment in continuous abstinence, with neither significant effect on prevalent abstinence nor dropout rate. Conclusion: This review suggested and agreed that Varenicline, Cytisine and transdermal nicotine delivery, as smoking cessation intervention, have advantages and disadvantages. However, we had to have reservations about e-cigarettes as a way to quit smoking in adolescents.

Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial.

BACKGROUND: Smartbands can be used to detect cigarette smoking and deliver real time smoking interventions. Brief mindfulness interventions have been found to reduce smoking. OBJECTIVE: This single arm feasibility trial used a smartband to detect smoking and deliver brief mindfulness exercises. METHODS: Daily smokers who were motivated to reduce their smoking wore a smartband for 60 days. For 21 days, the smartband monitored, detected and notified the user of smoking in real time. After 21 days, a 'mindful smoking' exercise was triggered by detected smoking. After 28 days, a 'RAIN' (recognize, allow, investigate, nonidentify) exercise was delivered to predicted smoking. Participants received mindfulness exercises by text message and online mindfulness training. Feasibility measures included treatment fidelity, adherence and acceptability. RESULTS: Participants (N=155) were 54% female, 76% white non-Hispanic, and treatment starters (n=115) were analyzed. Treatment fidelity cutoffs were met, including for detecting smoking and delivering mindfulness exercises. Adherence was mixed, including moderate smartband use and low completion of mindfulness exercises. Acceptability was mixed, including high helpfulness ratings and mixed user experiences data. Retention of treatment starters was high (81.9%). CONCLUSIONS: Findings demonstrate the feasibility of using a smartband to track smoking and deliver quit smoking interventions contingent on smoking.

Project phoenix: Pilot randomized controlled trial of a smartphone-delivered intervention for people who are not ready to quit smoking.

BACKGROUND: Most people who smoke cigarettes report they want to quit in the future, but only 20 % are ready to quit within the next 30 days. This 3-arm pilot randomized controlled trial examined the feasibility and initial efficacy of a novel smartphone-based intervention that aimed to induce smoking cessation attempts among adults not initially ready to quit. METHODS: Participants randomized into the two intervention groups (Group 1: Phoenix App Only; Group 2: Phoenix App + Nicotine Replacement Therapy) received daily smoking cessation messages via smartphone application that were tailored to their current readiness to quit, while the attention control group (i.e., Factoid) received messages not related to smoking cessation. All participants completed a weekly survey for 26 weeks and used the app to set quit dates when/if desired. RESULTS: Participants (N=152) were female (67.8 %), White (75.7 %), 50.0 years old (SD=12.5), and smoked 20.4 cigarettes per day (SD=10.5). Results indicated that the Phoenix interventions were feasible (e.g., participants viewed ~185 messages over 26 weeks; 74.8 % of weekly surveys were completed; 85.5 % completed the 26-week follow-up assessment). Phoenix participants set more quit dates, set quit dates sooner, were abstinent for more days, and used smoking cessation medications on more days than those assigned to the Factoid group. CONCLUSIONS: This low-burden, smartphone-based smoking cessation induction intervention may increase smoking cessation attempts, and may reduce barriers that are encountered with traditional in-person or call-based interventions. TRIAL REGISTRATION: Clinicaltrials.gov number: NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

[Tobacco cessation - the underused potential in clinical routine]. / Tabakentwöhnung ­ die bisher wenig genutzte Chance im ärztlichen Alltag.

Tobacco control, psychosocial and medical assistance regarding tobacco cessation is still a hidden potential within the German health care system. So far doctors rarely talk to their patients about their smoking status and physical and psychological benefits of quitting.This paper focusses on recommended current diagnostic and treatment standards, as well as evidence-based methods to address the topic on how to stop smoking and its association with certain diseases such as COPD, lung cancer and COVID-19 infection. The role of e-cigarettes as a cessation tool and its health related risks are critically examined. Consequences and advice how to implement smoking cessation procedures into daily practice are presented.

Knowledge of Tunisian physicians about electronic cigarettes.

INTRODUCTION: The electronic cigarette is a new-generation smoking product whose mechanism of use could, in theory, minimize adverse health effects. AIM: Determine the knowledge and perceptions of a sample of Tunisian doctors regarding electronic cigarettes. METHODS: We conducted a descriptive cross-sectional study over a two-month period with a sample of Tunisian doctors. We used an online self-questionnaire on physicians' knowledge and perceptions of e-cigarettes. RESULTS: Data were obtained from 216 physicians. Of the participants, 97.2% were familiar with e-cigarettes, 56.5% reported low knowledge, and 83.4% expressed motivation to learn more about e-cigarettes. Overall, 83.8% of doctors felt that electronic cigarettes are harmful to the user's health. Use of this product would increase the risk of cancer according to 73.1% of participants, the risk of cardiovascular disease according to 68.5% of participants, and the risk of chronic lung disease according to 79.2% of participants. The perception of e-cigarettes as harmful to the user's health was associated with the physicians' medical specialty (p=0.032). The recommendation of e-cigarettes as a smoking cessation tool was negatively correlated with addictology training (p=0.027). CONCLUSIONS: Physicians' knowledge of electronic cigarettes is heterogeneous, reflecting the current lack of information and consensus.

Barriers and facilitators to perioperative smoking cessation: A scoping review.

OBJECTIVE: Smoking cessation interventions are underutilized in the surgical setting. We aimed to systematically identify the barriers and facilitators to smoking cessation in the surgical setting. METHODS: Following the Joanna Briggs Institute (JBI) framework for scoping reviews, we searched 5 databases (MEDLINE, Embase, Cochrane CENTRAL, CINAHL, and PsycINFO) for quantitative or qualitative studies published in English (since 2000) evaluating barriers and facilitators to perioperative smoking cessation interventions. Data were analyzed using thematic analysis and mapped to the theoretical domains framework (TDF). RESULTS: From 31 studies, we identified 23 unique barriers and 13 facilitators mapped to 11 of the 14 TDF domains. The barriers were within the domains of knowledge (e.g., inadequate knowledge of smoking cessation interventions) in 23 (74.2%) studies; environmental context and resources (e.g., lack of time to deliver smoking cessation interventions) in 19 (61.3%) studies; beliefs about capabilities (e.g., belief that patients are nervous about surgery/diagnosis) in 14 (45.2%) studies; and social/professional role and identity (e.g., surgeons do not believe it is their role to provide smoking cessation interventions) in 8 (25.8%) studies. Facilitators were mainly within the domains of environmental context and resources (e.g., provision of quit smoking advice as routine surgical care) in 15 (48.4%) studies, reinforcement (e.g., surgery itself as a motivator to kickstart quit attempts) in 8 (25.8%) studies, and skills (e.g., smoking cessation training and awareness of guidelines) in 5 (16.2%) studies. CONCLUSION: The identified barriers and facilitators are actionable targets for future studies aimed at translating evidence informed smoking cessation interventions into practice in perioperative settings. More research is needed to evaluate how targeting these barriers and facilitators will impact smoking outcomes.

[Smoking cessation rate after passage in a smoking cessation clinic in patients referred by a respiratory medicine department]. / Taux de sevrage tabagique après prise en charge ambulatoire dans un centre d'aide aux fumeurs (CAF) chez des patients référés par un service de Pneumologie.

Responsible for a significant morbidity and mortality, smoking remains a major public health issue. Smoking cessation clinics are an integral part of the fight against smoking. This retrospective study, carried out between January 2022 and January 2023 on 106 patients who attended the smoking cessation clinics in the Respiratory Department of the University Hospital of Liège, was designed to assess patient cessation rates at 6 months and 1 year, and to identify any factors predicting success or failure. Our data showed a cessation rate of 25 % at 6 months and 19 % at 1 year. Age was slightly more advanced in those who succeeded in smoking cessation at one year (p = 0.05). The obtained cessation rate strongly supports the utility of our smoking cessation clinic for patients wishing to quit smoking.

Responsable d'une morbi-mortalité importante, le tabagisme reste un enjeu, non négligeable, de santé publique. Les consultations d'aide au sevrage font partie intégrante des moyens mis en œuvre pour lutter contre le tabagisme dans une optique de prévention. Cette étude rétrospective, menée entre janvier 2022 et janvier 2023, auprès de 106 patients ayant fréquenté les consultations de tabacologie du Service de Pneumologie du CHU de Liège, avait pour objectifs d'évaluer les taux de sevrage des patients à 6 mois et à 1 an et d'identifier d'éventuels facteurs prédictifs de succès, ou d'échec, au sein de l'échantillonnage étudié. L'analyse des données a démontré un taux de sevrage de 25 % à 6 mois et de 19 % à 1 an. L'analyse des facteurs démographiques montre une moyenne d'âge plus élevée chez les patients qui réussissent leur sevrage à 1 an (p = 0,05). Le taux de sevrage obtenu atteste de la pertinence et de la nécessité de notre accompagnement auprès des patients désireux de cesser de fumer.

[Promoting smoking cessation for patients treated by coronary angioplasty at Liege CHU]. / Aide au sevrage tabagique des patients traités par angioplastie coronaire au CHU de Liège.

Smoking cessation appears to be the response that provides the best cost/benefit ratio among cardiovascular prevention actions. However, hospitalization precisely offers a strategic opportunity to initiate smoking cessation. This work evaluates the assistance in smoking cessation of patients treated by coronary angioplasty at the University Hospital of Liege over the last 6 years. It aims to provide food for thought regarding optimal management of smoking. Analysis of data showed a withdrawal rate of 55 % at year one. Strengthening motivation (with motivational interviewing and conversational hypnosis), the use of nicotine replacement and participation in cardiac rehabilitation have been identified as factors in consolidating abstinence. This work attests to the relevance and necessity of the intervention of a tobacco specialist in hospitalization and outpatient settings to ensure follow-up and improve the success rate of smoking cessation.

Le sevrage tabagique apparaît comme la réponse qui permet le meilleur rapport coût/bénéfice parmi les actions de prévention cardiovasculaire. Or, l'hospitalisation offre précisément une opportunité stratégique pour initier l'arrêt du tabagisme. Ce travail évalue l'aide au sevrage tabagique des patients traités par angioplastie coronaire au CHU de Liège durant ces 6 dernières années. Il vise à nourrir la réflexion quant à une prise en charge optimale du tabagisme. L'analyse des données a montré un taux de sevrage de 55 % à un an. Le renforcement de la motivation (avec l'entretien motivationnel et l'hypnose conversationnelle), l'utilisation d'une substitution nicotinique et la participation à la revalidation cardiaque ont été identifiés comme des facteurs de consolidation de l'abstinence. Ce travail atteste de la pertinence et de la nécessité de l'intervention d'un tabacologue en hospitalisation et en ambulatoire pour assurer un suivi et améliorer la réussite du sevrage tabagique.

Exposure to anti- and pro-smoking messages among adults in China: Results from the Global Adult Tobacco Survey, 2018.

SIGNIFICANCE: For decades, tobacco advertisements and promotions have been common in mass media and public places in China. In 2015, China amended the Advertising Law to prohibit the distribution of tobacco advertising, while also initiating waves of tobacco control media campaigns. This study investigates the associations between exposure to anti- and pro-smoking messages, smoking status, and people's smoking-related beliefs and willingness to support tobacco control policies. METHODS: A secondary data analysis was performed with the 2018 Global Adult Tobacco Survey of 19,376 adults aged ≥15 years in China. Anti- and pro-smoking message exposures were measured as the sum of sources (media or places) where respondents have seen the messages. Multivariable logistic regression analyses were conducted to examine the relationships among smoking status, message exposure, and the outcome variables (health harm beliefs, support for increasing tax on cigarettes, support for using part of the increased tax on tobacco control) controlling for smoking status and demographic differences. RESULTS: Overall, 63.3% of the respondents reported being exposed to anti-smoking messages from at least 1 source, while 18.1% were exposed to pro-smoking messages from at least 1 source. Adults who currently, formerly, and never smoked differed in their beliefs about smoking and willingness to support tobacco control policies. Greater reported exposure to anti-smoking messages was positively associated with belief that smoking is harmful, support for increased cigarette tax, and support for using increased tax revenue for tobacco control measures. Meanwhile, greater reported exposure to pro-smoking messages was negatively related to willingness to support cigarette tax increases. CONCLUSIONS: While national and local tobacco control campaigns in China have reached a large proportion of the adult population, there is still room for improvement. China might consider expanding anti-tobacco campaigns, as reported exposure to these messages is associated with increased public awareness of the health hazards of smoking and support for increasing cigarette taxes.

The prospective relationship between a-priori intentions for and patterns of e-cigarette use among adults who smoke cigarettes.

BACKGROUND: Electronic (e-)cigarettes may help adult cigarette smokers achieve cigarette cessation, depending on patterns of e-cigarette use. Among cigarette smokers who do not use e-cigarettes, it is unclear if and how a-priori intentions for use are related to uptake patterns. Longitudinal studies have focused on established e-cigarette users or adolescent and young adult populations exclusively. METHODS: Within a nationwide randomized clinical trial (N = 638), adult cigarette smokers not currently using e-cigarettes were randomized (2:1) to receive (or not) one-month sampling of e-cigarettes. An exploratory factor analysis (EFA) was performed on an established 15-item measure assessing a-priori intentions for e-cigarette use to identify latent variables. Among those receiving e-cigarette products, regression models examined relationships between intentions and: 1) uptake (yes/no), 2) frequency (number of days per week), and 3) amount (puffing episodes per day) of e-cigarette use at one-month follow-up. RESULTS: Two factors emerged from the EFA: 1) cigarette-related intentions (e.g., cigarette cessation, no smell) and 2) novel appeal of e-cigarettes (e.g., flavors). Three items remained and were treated as separate intentions: "feels like cigarette smoking", "curiosity", and "affordability". In the final multivariable models, "feel like cigarette smoking" predicted more frequent e-cigarette use (ß = 0.187, SE = 0.086, p = 0.03); however, none of the five factors/intentions were significantly associated with uptake or amount of use. CONCLUSIONS: For adult cigarette smokers not currently using e-cigarettes, a-priori intentions for using e-cigarettes might not be predictive of if or how these products will be used in the future, suggesting that motives may not drive use behavior.

[Application of the cigarette purchase tasks in achieving China' s tobacco control goals].

OBJECTIVE: To assess cigarette demand among Chinese smokers through a cigarette purchase task (CPT) and to evaluate cigarette prices under different hypothetical scenarios in order to meet the goals of smoking prevalence reduction in China. METHODS: In the study, 447 participants completed a hypothetical CPT at baseline assessments of a trial, thus, cigarette demand curves were individually fitted for each participant using an exponentiated version of the exponential demand model. Typically, five demand indices were derived, intensity (consumption when free), breakpoint (first price at which consumption is suppressed to 0), maximum output (Omax), maximum price (Pmax, price at which Omax occurred), and elasticity (the ratio of the change in quantity demanded to the change in price). A one-way analysis of variance was used to explore the correlations between the cigarette purchase task indices and socio-demographic and smoking characteristics. The one-way decay model was employed to simulate the smoking cessation rates and determine optimal cigarette prices in a series of scenarios for achieving 20% smoking prevalence. RESULTS: The price elasticity drawn from CPT was 0.54, indicating that a 10% price increase could reduce smoking by 5.4% in the participated smokers. Smokers with higher income were less sensitive to cigarette prices (elasticity=-2.31, P=0.028). Cigarette purchase task indices varied significantly among the smokers with different prices of commonly used cigarettes, tobacco dependence, and smoking volume. The smokers who consumed cigarettes of higher prices reported higher breakpoint, Omax and Pmax, but lower intensity (P=0.001). The smokers who were moderately or highly nicotine dependent reported higher intensity, breakpoint, Omax and Pmax, and they had lower intensity (P=0.001). The smokers who had a higher volume of cigarettes reported higher intensity and Omax, and lower intensity (P < 0.001). To achieve the goal of reducing smoking prevalence to 20% in mainland China, we estimated the desired increase on smoking cessation rate and prices accordingly in a series of scenarios, considering the gender variance and reduced smoking initiation. In scenario (a), to achieve a smoking prevalence goal of 20%, it would be necessary for 24.81% of the current smokers to quit smoking when there were no new smokers. Our fitting model yielded a corresponding value of 59.64 yuan (95%CI 53.13-67.24). Given the assumption in scenario (b) that only males quitted smoking, the desired cessation rates would be 25.82%, with a higher corresponding price of 62.15 yuan (95%CI 55.40-70.06) to induce desired cessation rates. In the proposed scenario (c) where 40 percent of the reduction in smoking prevalence came from reduced smoking initiation, and females and males equally quitted smoking due to increased cigarette prices, the price of a pack of cigarettes would be at least 37.36 yuan (95%CI 32.32-42.69) (equals to $ 5.20) per pack to achieve the cessation rate of 14.89 percent. In scenario (d) where only males quitted smoking due to increased cigarette prices considering the reduced smoking initiation, the respective smoking cessation rates should be 15.49% with the desired prices of 38.60 yuan (95%CI 33.53-44.02). After adjusting for education levels and income levels in scenario (c), the price of cigarettes would be at least 37.37 yuan/pack (equals to $ 5.20) (95%CI 30.73-44.94) and 37.84 yuan/pack (equals to $ 5.26) (95%CI 31.94-44.53), respectively. CONCLUSION: Cigarette purchase task indices are significantly associated with income levels and prices of commonly used cigarettes, levels of tobacco dependence, and smoking volume, which is inspiring in studying price factors that influence smoking behavior. It is suggested that higher cigarette prices, surpassing the current actual market level, is imperative in mainland China. Stronger policy stra-tegies should be taken to increase tobacco taxes and retail cigarette prices to achieve the Healthy China 2030 goal of reducing smoking prevalence to 20%.

The trajectory of smoking cessation after treatment and its related factors in Taiwan.

Smoking has multiple negative effects on health; therefore, the Taiwanese government provides smoking cessation clinics to smokers. This study aimed to explore the trajectory of smoking cessation after smokers received treatment and the variables related to different trajectories. A retrospective longitudinal study was conducted, in which 735 adult smokers who received smoking cessation medications were recruited. The participants' demographic characteristics, chronic diseases, smoking characteristics, and cigarette dependence were collected from chart review. The amount of smoking was collected at baseline, and at 1 week, 1 month, 3 months, and 6 months after treatment. The Proc Traj procedure for group-based modeling and multinomial logistic regression were used for statistical analysis. Three trajectories were identified: early quitters (28.03%), late quitters (11.43%) and reducers (60.54%). Compared with early quitters, reducers were younger and had a higher probability of severe cigarette dependence. Compared with early quitters, late quitters had a higher number of taking smoking cessation medications. The findings revealed that approximately 60% of participants who received smoking cessation treatment could not completely quit smoking, and that age, number of medications taken, and cigarette dependence were significant predictors of different trajectories.

Smoking Cessation After Initial Treatment Failure With Varenicline or Nicotine Replacement: A Randomized Clinical Trial.

Importance: Most people who smoke do not quit on their initial attempt. Objective: To determine the best subsequent strategy for nonabstinence following initial treatment with varenicline or combined nicotine replacement therapy (CNRT). Design, Setting, and Participants: Using a double-blind, placebo-controlled, sequential multiple assignment randomized trial, 490 volunteers were randomized to receive 6 weeks of varenicline or CNRT. After 6 weeks, nonabstainers were rerandomized to continue, switch, or increase medication dosage for 6 additional weeks. The study was conducted from June 2015 through October 2019 in a Texas tobacco treatment clinic. Interventions: The initial treatment was 2 mg/d of varenicline or the combined replacement therapy of a 21-mg patch plus 2-mg lozenge. The rerandomized participants either continued with their initial therapies, switched between varenicline and CNRT, or increased dosages either to 3-mg or more of varenicline or to a 42-mg patch and lozenges. All received weekly brief counseling. Main Outcomes and Measures: Biochemically verified 7-day point prevalence abstinence at the end of treatment at 12 weeks. Results: The 490 randomized participants (210 female [43%], 287 non-Hispanic White [58%], mean age, 48.1 years) smoked an average of 20 cigarettes per day. After the first phase, 54 participants in the CNRT group were abstinent and continued their therapy; of the 191 who were not abstinent, 151 were rerandomized, and the 40 who did not return for rerandomization were assigned to continue their initial CNRT condition in phase 2. The end-of-treatment abstinence rate for the 191 phase 1 nonabstainers was 8% (95% credible interval [CrI], 6% to 10%) for the 90 (47%) who continued at the dosage condition, 14% (CrI, 10% to 18%) for the 50 (33%) who increased their dosage, and 14% (95% CrI, 10% to 18%) for the 51 (34%) who switched to varenicline (absolute risk difference [RD], 6%; 95% CrI, 6% to 11%) with more than 99% posterior probability that either strategy conferred benefit over continuing the initial dosage. After the first phase, 88 participants in the varenicline group were abstinent and continued their therapy; of the 157 who were not abstinent, 122 were rerandomized and 35 who did not return for rerandomization were assigned to continue with the varenicline condition. The end-of-treatment abstinence rate for the 157 phase 1 nonabstainers was 20% (95% CrI, 16% to 26%) for the 39 (32%) who increased their varenicline dosage, 0 (95% CrI, 0 to 0) for the 41 (34%) who switched CNRT, and 3% (95% CrI, 1% to 4%) for the 77 (49%) who were assigned to the continued varenicline condition (absolute RD, -3%; 95% CrI, -4% to -1%) with more than 99% posterior probability that continuing varenicline at the initial dosage was worse than switching to a higher dosage. Furthermore, increasing the varenicline dosage had an absolute RD of 18% (95% CrI, 13% to 24%) and a more than 99% posterior probability of conferring benefit. The secondary outcome of continuous abstinence at 6 months indicated that only increased dosages of the CNRT and varenicline provided benefit over continuation of the initial treatment dosages. Conclusions and Relevance: For individuals who smoked but did not achieve abstinence after treatment with varenicline, increasing the dosage enhanced abstinence vs continuing, whereas for nonabstainers initially treated with CNRT, a dosage increase or switch to varenicline enhanced abstinence and may be viable rescue strategies. Trial Registration: ClinicalTrials.gov Identifier: NCT02271919.