Factors associated with successful smoking cessation in the United States, 2000

Predictors of Successful Tobacco Cessation After Receiving an E-Cigarette Based Smoking Cessation Intervention

Introduction

E-cigarettes have been shown to be effective for tobacco smoking cessation. Predicting those who are most likely to achieve smoking abstinence after receiving an e-cigarette based smoking cessation intervention could help to target interventions more efficiently.

Methods

A secondary analysis of baseline characteristics of 505 people who received an emergency department based smoking cessation intervention incorporating brief advice, provision of an e-cigarette starter kit and referral to stop smoking services. Gender, ethnicity, age, employment status, deprivation, partner smoking status, cigarettes per day, motivation to quit, cigarette dependence and previous e-cigarette use were assessed as predictors of abstinence. Self-reported smoking status was collected 6 months after intervention delivery.

Results

At 6 months 169/505 (33%) of those who received the intervention self-reported abstinence. The groups that were more likely to report having quit were females (37.4% of females vs 31.0% of males), older people (41.1% of over 50s vs 33.3% of under 35s), lighter smokers (36.4% of those who smoked less than 10 cigarettes per day vs 30.7% for those who smoked over 20) and more motivated quitters (35.6% for those with high motivation vs 29.2% for those with low motivation). However, in multiple logistic regression, when adjusting for the other factors, no factors significantly predicted smoking abstinence. Degree of nicotine dependence was very similar between those who quit and those who did not.

Conclusion

The study found no baseline factors that could predict successful smoking cessation with e-cigarettes. Consequently, this study does not support the use of a targeted e-cigarette-based smoking cessation intervention, suggesting the adoption of a more universal approach.

Impact of standardized tobacco packaging on smoking-related behaviors and perceptions in Singapore

INTRODUCTION

Singapore phased in standardized tobacco packaging on 1 July 2020 following a three-month grace period. This pre-post study evaluated its impacts on smoking-related behaviors and perceptions among adults who currently smoke.

METHODS

Baseline and follow-up data were collected in a pre- and post-questionnaire from a cohort of 1873 Singaporean adults who were currently smoking at baseline. Baseline data were collected from December 2019 to May 2020, and follow-up data from July 2021 to September 2021. We used descriptive statistics and bivariate analyses to assess pre-post changes (Bhapkar's test, Wilcoxon signed rank test) and to identify characteristics of participants who had quit or cut down smoking at follow-up (Pearson's chi-squared, Fisher's exact test).

RESULTS

At follow-up, 11.7% (n=220) had quit smoking. There was a higher proportion of those smoking non-daily (pre: 13.1%, post: 16.9%; p<0.001), and those intending to quit within the next year (pre: 14.8%, post: 17.5%; p<0.05) or six months (pre: 10.4%, post: 13.2%; p<0.01). Tobacco products were scored more negatively in relation to packaging, quality, satisfaction, value for money and overall appeal (scores pre: 15.9, post: 14.3; p<0.001), harmfulness (scores pre: 0.61, post: 0.54; p<0.05), noticing others smoking the same brand (scores pre: 1.92, post: 1.65; p<0.001), and considering quitting due to health warnings (scores pre: 0.81, post: 0.86, p<0.05). Fewer reported that some cigarette brands have higher prestige (pre: 58.0, post: 54.3%; p<0.01), and more reported using flavored cigarettes (pre: 42.2%, post: 60.1%; p<0.001) and e-cigarettes (pre: 4.2%, post: 6.1%; p<0.01).

CONCLUSIONS

In Singapore, the changes observed before and after the implementation of standardized packaging suggest that it might be associated with quit-related outcomes, reduced tobacco product appeal, and increased effectiveness of graphic health warnings.

Factors associated with smoking cessation in Chinese psychiatric professionals: A cross-sectional survey

INTRODUCTION

Healthcare workers are integral to public smoking cessation; however, their own smoking behavior can create a significant obstacle to intervening in patients' cessation efforts. Conversely, their success in quitting can enhance their ability to support patients. Research on smoking behavior, particularly smoking cessation among Chinese psychiatric professionals is limited. This study addresses this gap by examining the factors associated with smoking cessation in this population, providing insights for targeted tobacco control policies.

METHODS

A cross-sectional survey was conducted, targeting psychiatric professionals including psychiatrists and psychiatric nurses, in 41 tertiary psychiatric hospitals in China. From January to March 2021, a WeChat-based questionnaire was distributed to collect demographic, occupational, and health-behaviors (including smoking) data. Statistical analyses, including the chi-squared test and adjusted binary logistic regression analysis, were conducted to identify the factors associated with smoking cessation.

RESULTS

Among the 12762 psychiatric professionals who participated in the survey, 11104 (87.0%) were non-smokers, 1196 (9.4%) were current smokers, and 462 (3.6%) were ex-smokers. Several factors were found to be associated with smoking cessation. Women had a higher prevalence of ex-smokers than men (AOR=1.88; 95% CI: 1.332-2.666, p<0.001). Compared to East China, the prevalence of ex-smokers among participants in Central and Northeast China was lower. Older age (≥50 years), higher level of education (Master's degree or higher), and non-drinkers, showed a higher likelihood of being ex-smokers. Notably, compared to current smokers, ex-smokers reported a lower prevalence of burnout (AOR=0.70; 95% CI: 0.552-0.892, p=0.004).

CONCLUSIONS

Smoking cessation interventions or health promotion programs should also focus on gender, age, education level, region, alcohol use, and burnout to effectively address smoking cessation within this specific professional group.

The Perceived Benefits and Self-Efficacy of an Exercise Intervention on Tobacco Withdrawal Symptoms: A Qualitative Study Based on the Health Belief Model

Background

This study examined the effectiveness of an exercise programme as an adjunct to smoking cessation treatments. The effects of exercise on smoking habits and tobacco withdrawal symptoms (TWS) were evaluated among smokers who were in the pre-contemplation and contemplation stages.

Methods

This was a case study with convenience sampling techniques. This study lasted approximately 2 years, beginning in February 2016. This study was divided into two phases: an intervention phase followed by an interview. The participants were invited to undergo the 8-week supervised moderate aerobic exercise programme. This qualitative study involved 14 participants selected from the intervention phase. They were interviewed about their experiences using a semi-structured questionnaire guided by the health belief model.

Results

This study involved 14 participants who were aged between 26 years old and 40 years old and smoked from 11 to 20 cigarettes per day. Most participants perceived benefits and self-efficacy regarding smoking habits and tobacco withdrawal symptoms (TWS) following the exercise intervention.

Conclusion

This study demonstrated that moderate exercise might be helpful in increasing self-efficacy in smoking cessation and the findings encourage further research on exercise programmes as an adjunct to smoking cessation treatments in Malaysia.

Factors Associated With Abstinence Among Young Adult Smokers Enrolled in a Real-world Social Media Smoking Cessation Program

OBJECTIVE

Social media platforms are promising to provide smoking cessation support. This study aimed to identify baseline factors associated with cigarette smoking abstinence among young adult smokers enrolled in a real-world social media-based smoking cessation program.

AIMS AND METHODS

We analyzed data from young adult smokers (aged 18-30 years) participating in a publicly available Facebook-based smoking cessation program serving the San Francisco Bay Area. The analytic sample consisted of 248 participants who completed both the baseline and follow-up surveys at 3 months. Multivariable logistic regression analysis determined baseline factors significantly associated with self-reported 7-day cigarette smoking abstinence at 3 months.

RESULTS

Participants were race/ethnically diverse, well-educated, and 47.6% reported LGB + sexual identity. Those who reported dual use of cigarettes and e-cigarettes in the past 30 days (vs. cigarette use only), current alcohol users (vs. non-users), and those aged 25-30 years (vs. 18-24 years) were significantly less likely to report 7-day abstinence at 3 months. Non-daily smokers (vs. daily smokers) and those with high desire to quit smoking (vs. low to moderate desire) were more likely to report abstinence. Results also showed reduction in the percentage of e-cigarette and other tobacco product use among participants.

CONCLUSIONS

Social media interventions may be more effective for young adult non-daily smokers and those with high desire to quit smoking. Smoking cessation programs may help reduce use of other tobacco products among treatment-seeking smokers. Smoking cessation interventions for young adults need to explicitly address dual use of cigarettes and e-cigarettes and use of alcohol.

IMPLICATIONS

Findings of this study highlight the need for future interventions to address dual use of cigarettes and e-cigarettes and use of alcohol to improve cigarette smoking abstinence outcomes. The reduction in the use of other tobacco products among program participants indicates that social media smoking cessation programs may exert a broader positive influence on overall tobacco consumption. The large number of LGB+ smokers participating in the program suggests social media is a promising cessation channel for this hard-to-reach group, warranting further study.

Identification of Sociodemographic, Clinical, and Genetic Factors to Aid Alaska Native and American Indian People to Successfully Quit Smoking

INTRODUCTION

Alaska Native and American Indian (ANAI) people have a smoking prevalence of 23%. Nicotine metabolite ratio (NMR) and genetic testing may enable tailored selection of tobacco cessation medication.

AIMS AND METHODS

The purpose of this study was to evaluate the relative contributions of NMR, cessation medication, demographics, and tobacco use history to cessation. Participants were recruited into an observational cohort study consisting of a baseline visit prior to their quit date and 6-week follow-up. Demographic and tobacco use surveys and blood, urine, and breath samples were collected at each visit. Electronic health records were queried for cessation medications. NMR was categorized into slow or normal nicotine metabolism phenotypes (<0.31 and ≥ 0.31, respectively). The main outcome was cessation at 6 weeks. Analyses consisted of descriptive statistics, medication and phenotype concordance, and estimates of relative risk (RR) of quitting.

RESULTS

We enrolled 151 ANAI adults who smoked cigarettes daily. Two-thirds had normal nicotine metabolism phenotype. Retrospective medication and phenotype concordance was 39%. The overall quit rate was 25%. No demographic factors or tobacco use history were associated with quit success. Varenicline and bupropion increased the likelihood of quitting (RR = 2.93 [1.42, 6.03] and RR = 2.52 [1.12, 5.64], respectively) compared to nicotine replacement therapy. Non-optimal medication and phenotype concordance decreased likelihood of quit success (RR = 0.44 [0.22, 0.91]) compared to optimal concordance.

CONCLUSIONS

This exploratory study found associations between quit success and tobacco cessation medication as well as medication and phenotype concordance. Additional research is needed to assess use of NMR for treatment selection among ANAI people.

IMPLICATIONS

These results broadly support additional community-engaged research to improve medication and phenotype concordance in tribal health settings. Such future research on implementing meditcation and phenotype concordance holds promise to improve expectations, quit success, and health outcomes amongst individuals attempting to quit smoking.

Combining Inserts With Warning Labels on Cigarette Packs to Promote Smoking Cessation: A 2-Week Randomized Trial

BACKGROUND

Cigarette pack inserts with messages on cessation benefits and advice are a promising labeling policy that may help promote smoking cessation.

PURPOSE

To assess insert effects, with and without accompanying pictorial health warning labels(HWLs), on hypothesized psychosocial and behavioral outcomes.

METHODS

We conducted a 2 × 2 between-subject randomized trial (inserts with efficacy messages vs. no inserts; large pictorial HWLs vs. small text HWLs), with 367 adults who smoked at least 10 cigarettes a day. Participants received a 14-day supply of their preferred cigarettes with packs modified to reflect their experimental condition. Over 2 weeks, we surveyed participants approximately 4-5 times a day during their smoking sessions, querying feelings about smoking, level of worry about harms from smoking, self-efficacy to cut down on cigarettes, self-efficacy to quit, hopefulness about quitting, and motivation to quit. Each evening, participants reported their perceived susceptibility to smoking harms and, for the last 24 hr, their frequency of thinking about smoking harms and cessation benefits, conversations about smoking cessation or harms, and foregoing or stubbing out cigarettes before they finished smoking. Mixed-effects ordinal and logistic models were estimated to evaluate differences between groups.

RESULTS

Participants whose packs included inserts were more likely than those whose packs did not include inserts to report foregoing or stubbing out of cigarettes (OR = 2.39, 95% CI = 1.36, 4.20). Otherwise, no statistically significant associations were found between labeling conditions and outcomes.

CONCLUSIONS

This study provides some evidence, albeit limited, that pack inserts with efficacy messages can promote behaviors that predict smoking cessation attempts.

Diagnostic spirometry in COPD is increasing, a comparison of two Swedish cohorts

Spirometry should be used to confirm a diagnosis of chronic obstructive pulmonary disease (COPD). This test is not always performed, leading to possible misdiagnosis. We investigated whether the proportion of patients with diagnostic spirometry has increased over time as well as factors associated with omitted or incorrectly interpreted spirometry. Data from medical reviews and a questionnaire from primary and secondary care patients with a doctors' diagnosis of COPD between 2004 and 2010 were collected. Data were compared with a COPD cohort diagnosed between 2000 and 2003. Among 703 patients with a first diagnosis of COPD between 2004 and 2010, 88% had a diagnostic spirometry, compared with 59% (p < 0.001) in the previous cohort. Factors associated with not having diagnostic spirometry were current smoking (OR 2.21; 95% CI 1.36-3.60), low educational level (OR 1.81; 1.09-3.02) and management in primary care (OR 2.28; 1.02-5.14). The correct interpretation of spirometry results increased (75% vs 82%; p = 0.010). Among patients with a repeated spirometry, 94% had a persistent FEV₁/FVC or FEV₁/VC ratio <0.70.

Prevalence and predictors of smoking cessation among smokers receiving smoking cessation intervention in primary care in Qatar: a 6-month follow-up study

Objective

To estimate the rate and predictors of smoking cessation in smokers attending smoking cessation clinics in primary care settings in Qatar.

Methods

A cross-sectional study was conducted among 759 smokers who had attended any of the 10 smoking cessation clinics in primary health care centers from January 2019 to June 2020. The sociodemographic, clinical, and smoking-related variables were assessed. Tailored behavioral and pharmacotherapy were delivered, and patients were interviewed at 6 months to estimate the 30-day point prevalence abstinence. To identify independent factors associated with smoking cessation, a multivariable logistic regression analysis was performed.

Results

The mean age of participants was 40.6 (±11.3), majority being married, Arab and employed, and having a tertiary education. Almost half of the smokers (48.7%) received varenicline alone, 42.6% received NRT, and 31.8% received a combination of both. The selection of drug therapy was based on preferences, experiences, and history of previously encountered adverse effects. The overall 30-day quit rate at 6 months follow-up was 32.4%. About three-quarters (72.5%) of participants had at least one quit attempt and 12.5% had 3 or more attempts. Later age at smoking initiation, lower cigarette consumption at baseline, lower CO concentration at baseline, use of smoking cessation pharmacotherapy, having made fewer quit attempts and non-exposure to secondhand smoke among friends were identified as significant predictors of successful quitting at 6 months.

Conclusion

The 30-day quit rate at 6 months follow-up (32.4%) is comparable to the worldwide figure. However, further efforts should be made to plan cost-effective tobacco dependence treatment taking into account predictors and at-risk groups.

Smokers' utilization of quitting methods and vaping during pregnancy: an empirical cluster analysis of 2016-2018 Pregnancy Risk Assessment Monitoring System (PRAMS) data in seven US states

BACKGROUND

Patterns of utilization of numerous smoking cessation methods among pregnant women amidst the increasing popularity of vaping (use of e-cigarettes) remains unknown.

METHODS

This study included 3,154 mothers who self-reported smoking around the time of conception and delivered live births in 2016-2018 in seven US states. Latent class analysis was used to identify subgroups of smoking women based on their utilization of 10 surveyed quitting methods and vaping during pregnancy.

RESULTS

We identified four subgroups of smoking mothers with different utilization patterns of quitting methods during pregnancy: 22.0% reported "not trying to quit"; 61.4% tried to "quit on my own" without any behavioral or pharmacological assistance; 3.7% belonged to the "vaping" subgroup; and 12.9% utilized "wide-ranging methods" with higher use rate of multiple approaches, such as quit line and nicotine patch. Compared to mothers "not trying to quit," the subgroup trying to "quit on my own" were more likely to be abstinent (adjusted OR 4.95, 95% CI 2.82-8.35) or to reduce the number of cigarettes smoked daily (adjusted OR 2.46, 95% CI 1.31-4.60) in late pregnancy, and these improvements lasted into early postpartum. We did not observe a measurable reduction in smoking among the "vaping" subgroup or women trying to quit with "wide-ranging methods".

CONCLUSIONS

We identified four subgroups of smoking mothers with different utilization patterns of eleven quitting methods during pregnancy. Pre-pregnancy smokers who tried to "quit on my own" were most likely to be abstinent or to reduce smoking amount.

The Epidemiology of Smoking in Older Adults: A National Cohort Study

BACKGROUND

Older smokers account for the greatest tobacco-related morbidity and mortality in the USA, while quitting smoking remains the single most effective preventive health intervention for reducing the risk of smoking-related illness. Yet, knowledge about patterns of smoking and smoking cessation in older adults is lacking.

OBJECTIVE

Assess trends in prevalence of cigarette smoking between 1998 and 2018 and identify patterns and predictors of smoking cessation in US older adults.

DESIGN

Retrospective cohort study PARTICIPANTS: Individuals aged 55+ enrolled in the nationally representative Health and Retirement Study, 1998-2018 MAIN MEASURES: Current smoking was assessed with the question: "Do you smoke cigarettes now?" Quitting smoking was defined as having at least two consecutive waves (between 2 and 4 years) in which participants who were current smokers in 1998 reported they were not currently smoking in subsequent waves.

KEY RESULTS

Age-adjusted smoking prevalence decreased from 15.9% in 1998 (95% confidence interval (CI) 15.2, 16.7) to 11.2% in 2018 (95% CI 10.4, 12.1). Among 2187 current smokers in 1998 (mean age 64, 56% female), 56% of those living to age 90 had a sustained period of smoking cessation. Smoking less than 10 cigarettes/day was strongly associated with an increased likelihood of quitting smoking (subdistribution hazard ratio 2.3; 95% CI 1.9, 2.8), compared to those who smoked more than 20 cigarettes/day.

CONCLUSIONS

Smoking prevalence among older persons has declined and substantial numbers of older smokers succeed in quitting smoking for a sustained period. These findings highlight the need for continued aggressive efforts at tobacco cessation among older persons.

Smoking cessation patterns, usefulness of quitting methods, and tobacco cessation motivators and barriers to quit in patients with rheumatoid arthritis

OBJECTIVE

Tobacco use is highly discouraged in patients with rheumatoid arthritis (RA) due to related short and long-term health implications. We aimed to evaluate smoking cessation patterns in patients with RA. In addition, we ascertained perceptions on the usefulness of quitting methods, and perceived motivators and barriers to quit.

METHODS

We surveyed adults with RA enrolled in the FORWARD Databank who self-identified as former or current tobacco users.

RESULTS

Three hundred forty-eight participants completed the survey and responded to the question "do you currently smoke" (former use = 319; current use = 29). Nicotine replacement therapy (NRT) was perceived as extremely/somewhat useful by 31%, followed by individual 27% and group counseling 21%. Experiencing a major health event was the most common motivator to quit. Current users on average smoked 17 cigarettes per day. Six of the 29 current users had used electronic cigarettes in the past 30 days. The most frequent methods used to quit were "cold turkey quitting," NRT, and prescription medicines. Only 8 of the 23 current users had plans to quit or expressed being ready to make changes to quit. Reasons most frequently listed to not quit were using smoking to manage negative emotions, as a pleasurable habit, to manage other addictions, and to provide a sense of control (e.g., to cope with RA).

CONCLUSIONS

Current users expressed several negative emotions including coping with the disease and "being a pleasurable habit" when trying to quit. Future cessation programs should address these barriers to support patients with RA. Key Points • First study characterizing the smoking behavior of patients with RA in the USA. Current users were younger, had a shorter disease duration, and worse disease outcomes compared to former smokers. • Former and current users reported similar motivators to quit, with experiencing a major health event being most common. Only about a third of participants who quit or who were still smoking received advice from a health professional. • The most common reasons for not quitting were that smoking help to manage negative emotions and was a pleasurable habit. Future studies should focus on cessation programs that support participants with RA by addressing the unique perceptions about smoking in this population.

Effective Timing of Introducing an Inpatient Smoking Cessation Program to Cancer Patients

PURPOSE

We aimed to identify factors influencing smoking cessation success among cancer patients registered in an inpatient smoking cessation program at a single cancer center.

MATERIALS AND METHODS

The electronic medical records of enrolled patients with solid cancer were retrospectively reviewed. We evaluated factors associated with 6-month smoking cessation.

RESULTS

A total of 458 patients with cancer were included in this study. Their mean age was 62.9±10.3 years, and 56.3% of the participants had lung cancer. 193 (42.1%) had not yet begun their main treatment. The mean number of counseling sessions for the participants was 8.4±3.5, and 46 (10.0%) patients were prescribed smoking cessation medications. The 6-month smoking cessation success rate was 48.0%. Multivariate analysis showed that younger age (<65 years), cohabited status, early stage, and the number of counseling sessions were statistically significant factors affecting 6-month smoking cessation success (p<0.05). Initiation of a cessation program before cancer treatment was significantly associated with cessation success (odds ratio, 1.66; 95% confidence interval, 1.02-2.70; p=0.040).

CONCLUSION

Smoking cessation intervention must be considered when establishing a treatment plan immediately after a cancer diagnosis among smokers.

Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: A cross-sectional study in Australia

Effective smoking cessation medications (SCM) are available and are recommended for the treatment of tobacco smoking. In this study, we evaluated rate and factors associated with successful quitting among individuals who supported their quit attempt using SCMs in Australia. An observational online cross-sectional survey was conducted using a convenience sample of smokers and ex-smokers in Australia. A self-administered questionnaire was used to evaluate socio-demographic, psychological, smoking, and medication use characteristics. The Fagerstrom Test for Nicotine Dependence scale was used to assess the level of nicotine addiction. Logistic regression used to identify factors associated with smoking cessation. Of the 201 respondents, 33.3% had successfully quit smoking. Nicotine replacement therapy (NRT), varenicline, and bupropion were used by 71.6%, 19.9%, and 8.5% respectively. The rate of quitting was 30.6%, 47.5%, and 23.5% for participants who used NRT, varenicline, and bupropion, respectively. Six in ten (59.6%) of the participants who were adherent to SCMs reported continuous abstinence. Whereas 22.9% reported quitting among participants who were nonadherent to SCMs. Adherence to SCMs was significantly associated with increased rate of quitting (AOR = 2.67, 95% CI of 1.17-6.10). Additionally, having smoke-free home was associated with successful smoking cessation (AOR = 2.34, 95% CI of 1.13-4.90). In conclusion, one in three participants self-reported that they successfully quit smoking. Adherence to SCMs and smoke-free home were strongly associated with quitting. Smoking cessation programs and future studies are recommended to incorporate medication adherence as a core component. Home-targeted and family-inclusive interventions are recommended to manage smoke-free homes and enhance success of quitting attempts.

A systematic review of factors associated with sustained smoking abstinence in people experiencing severe mental illness following participation in a smoking intervention

OBJECTIVE

People experiencing severe mental illness report higher rates of tobacco smoking than the general population, while rates of quitting and sustaining abstinence are considerably lower. This systematic review aimed to identify factors associated with sustained abstinence in people experiencing severe mental illness following a smoking intervention.

METHOD

Searches were conducted in PubMed, PsycInfo, Scopus, Embase, Emcare, CINAHL and Cochrane Library from the inception of the e-databases until June 2022. Selection criteria included randomised and non-randomised studies of smoking cessation interventions in which most of the participants were experiencing severe mental illness, and reported a follow-up of 3 months or longer. From an initial 1498 unique retrieved records, 26 references were included detailing 17 smoking cessation intervention studies and 3 relapse prevention intervention studies. Risk of bias was assessed using the RoB2 tool for randomised study designs and the ROBINS-I tool for non-randomised designs.

RESULTS

Participation in smoking interventions was associated with higher odds of abstinence in the medium-term, but not long-term follow-ups. There was insufficient evidence that any other factors impact sustained abstinence. Most studies were considered to have some risk of bias, largely due to insufficient availability of analysis plans.

CONCLUSION

Despite an abundance of studies investigating smoking cessation in smokers experiencing severe mental illness, there is limited knowledge on the factors associated with staying quit. The inclusion of people experiencing severe mental illness in large-scale randomised control trials, in which predictors of sustained abstinence are measured in the medium and long term are needed to address this important question.

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts

BACKGROUND

Social media platforms provide a valuable source of public health information, as one-third of US adults seek specific health information online. Many antitobacco campaigns have recognized such trends among youth and have shifted their advertising time and effort toward digital platforms. Timely evidence is needed to inform the adaptation of antitobacco campaigns to changing social media platforms.

OBJECTIVE

In this study, we conducted a content analysis of major antitobacco campaigns on Facebook using machine learning and natural language processing (NLP) methods, as well as a traditional approach, to investigate the factors that may influence effective antismoking information dissemination and user engagement.

METHODS

We collected 3515 posts and 28,125 associated comments from 7 large national and local antitobacco campaigns on Facebook between 2018 and 2021, including the Real Cost, Truth, CDC Tobacco Free (formally known as Tips from Former Smokers, where "CDC" refers to the Centers for Disease Control and Prevention), the Tobacco Prevention Toolkit, Behind the Haze VA, the Campaign for Tobacco-Free Kids, and Smoke Free US campaigns. NLP methods were used for content analysis, including parsimonious rule-based models for sentiment analysis and topic modeling. Logistic regression models were fitted to examine the relationship of antismoking message-framing strategies and viewer responses and engagement.

RESULTS

We found that large campaigns from government and nonprofit organizations had more user engagements compared to local and smaller campaigns. Facebook users were more likely to engage in negatively framed campaign posts. Negative posts tended to receive more negative comments (odds ratio [OR] 1.40, 95% CI 1.20-1.65). Positively framed posts generated more negative comments (OR 1.41, 95% CI 1.19-1.66) as well as positive comments (OR 1.29, 95% CI 1.13-1.48). Our content analysis and topic modeling uncovered that the most popular campaign posts tended to be informational (ie, providing new information), where the key phrases included talking about harmful chemicals (n=43, 43%) as well as the risk to pets (n=17, 17%).

CONCLUSIONS

Facebook users tend to engage more in antitobacco educational campaigns that are framed negatively. The most popular campaign posts are those providing new information, with key phrases and topics discussing harmful chemicals and risks of secondhand smoke for pets. Educational campaign designers can use such insights to increase the reach of antismoking campaigns and promote behavioral changes.

Different clinical characteristics of current smokers and former smokers with asthma: a cross-sectional study of adult asthma patients in China

Smoking is a trigger for asthma, which has led to an increase in asthma incidence in China. In smokers, asthma management starts with smoking cessation. Data on predictors of smoking cessation in Chinese patients with asthma are scarce. The objective of this study was to find the differences in clinical characteristics between current smokers and former smokers with asthma in order to identify factors associated with smoking cessation. Eligible adults with diagnosed asthma and smoking from the hospital outpatient clinics (n = 2312) were enrolled and underwent a clinical evaluation, asthma control test (ACT), and pulmonary function test. Information on demographic and sociological data, lung function, laboratory tests, ACT and asthma control questionnaire (ACQ) scores was recorded. Patients were divided into a current smokers group and a former smokers group based on whether they had quit smoking. Logistic regression analysis was used to analyze the factors associated with smoking cessation. Of all patients with asthma, 34.6% were smokers and 65.4% were former smokers, and the mean age was 54.5 ± 11.5 years. Compared with current smokers, the former smokers were older, had longer duration of asthma, had higher ICS dose, had more partially controlled and uncontrolled asthma, had more pack-years, had smoked for longer, and had worse asthma control. The logistic regression model showed that smoking cessation was positively correlated with age, female sex, pack-years, years of smoking, partially controlled asthma, uncontrolled asthma, and body mass index (BMI), but was negatively correlated with ACT, FEV1, FEV1%predicted, and widowed status. More than 30% of asthma patients in the study were still smoking. Among those who quit smoking, many quit late, often not realizing they need to quit until they have significant breathing difficulties. The related factors of smoking cessation identified in this study indicate that there are still differences between continuing smokers and former smokers, and these factors should be focused on in asthma smoking cessation interventions to improve the prognosis of patients with asthma.

Predictors of Successful Smoking Cesstion in Cardiac Rehabilitation Patients with a History of Acute Coronary Syndrome

Aim: To establish socio-psychological and clinical smoking predictors cessation at the stage of health-resort rehabilitation in patients who have recently suffered an acute coronary event. Materials and Methods: 68 patients aged 42-68 years (average age 56.70}6.1 years) who underwent a cardiorehabilitation program in the heart rehabilitation department of the health-resort complex „Morshinkurort” after a recent ACS (no more than 28 days ago) were examined. Depending on the smoking habit, all patients were divided into two groups. The first (I) group included smoking patients who gave up smoking in the course of CR (n=38, average age 57.10}6.73 years), the second (II) group included smokers who continued smoking during the healthresort stay treatment (n=30, average age 56.58}5.74 years). Predictors of smoking cessation were determined in patients of the studied groups using the method of binary logistic regression. Results: In the course of the study, 5 independent predictors of quitting smoking were established, which turned out to be statistically significant - smoking index, anxiety level, body mass index, comorbidity and marital status. The chances of quitting smoking were 1.79 times greater (95% CI from 1.25 to 2.56) in patients with higher BMI and 3.23 times (95% CI from 0.57 to 18.40) in those who are in family status. High comorbidity, higher SI score, and higher anxiety levels were significantly associated with a reduced likelihood of quitting smoking. Conclusions: Cardiac rehabilitation patients with high nicotine dependence, lower body weight, loneliness, significant anxiety symptoms, and multiple comorbidities are less likely to successfully quit smoking. Established independent predictors of smoking cessation must be used when choosing strategies for the treatment of tobacco addiction at the stage of CR. Screening and treatment for anxiety disorders should be included in smoking cessation programs to improve the SI effectiveness.

Use of a microsimulation method for assessing dynamics of smoking status and gains in life expectancy after quitting in a longitudinal cohort of US older adults

OBJECTIVES

Previous studies were unable to estimate the dynamics of smoking status in the US elderly general population, and no study has assessed the benefit of quitting in terms of resultant gains in life expectancy. We proposed a novel method to estimate the per cent of quitting in remaining lifetime, successful quitting and relapse, as well as life expectancy by participants' baseline smoking status.

DESIGN

Longitudinal cohort.

SETTING

US community-dwelling population.

PARTICIPANTS

Respondents from the Medicare Health Outcome Survey Cohort 15 (baseline 2012, follow-up 2014). We included respondents who were aged ≥65 years and alive at the baseline and participated in the baseline survey (n=164 597).Primary and secondary outcome measuresAttempt quitting, successful quitting, relapse rates and life expectancy by smoking status at age 65-95 years.

RESULTS

Among daily smokers aged 65 years, 61% would attempt to quit during their remaining lifetime, and 31% would quit successfully. Among some days smokers aged 65 years, 69% would attempt to quit during their remaining lifetime, and 37% would quit successfully. Among recent ex-smokers aged 65 years, 53% would relapse. Life expectancy at age 65 years was 20.0 (SE=0.27), 17.2 (SE=0.30), 16.2 (SE=0.29) and 15.9 (SE=0.29) years for long time non-smokers, recent ex-smokers, some days smokers and daily smokers, respectively. Although recent ex-smokers had a higher 2-year mortality than current smokers, those who quit up to 77 years (77 years for men and 87 years for women) had a significantly longer (p<0.05) life expectancy. Sensitivity analysis demonstrated that the model assumptions had a relatively small impact on estimates with a maximum relative bias within ±7%.

CONCLUSIONS

This study provides detailed information regarding the dynamics of smoking status in an understudied and growing population and demonstrates the benefit of smoking cessation on life expectancy. Future research should focus on understanding specific predictors of smoking cessation.

Examining pathways between family or peer factors and smoking cessation in a nationally representative US sample of adults with mental health conditions who smoke: a structural equation analysis

Background

Supportive family or peer behaviors positively impact smoking cessation in people with mental health problems who smoke. However, the limited understanding of the pathways through which family or peer factors impact quitting limits the development of effective support interventions. This study examined pathways through which family or peer views on tobacco use, family or peer smoking status, and rules against smoking in the home influenced quitting in adults with mental health problems who smoke.

Methods

We used data from the Population Assessment of Tobacco and Health Study, a national longitudinal survey. Baseline data were collected in 2015, and follow-up data in 2016. We included adults’ current smokers who had experienced two or more mental health symptoms in the past year (unweighted n = 4201). Structural equation modeling was used to test the relationships between family and peer factors, mediating factors, and smoking cessation.

Results

We found that having family or peers with negative views on tobacco use had a positive indirect effect on smoking cessation, mediated through the individual’s intention to quit (regression coefficient: 0.19) and the use of evidence-based approaches during their past year quit attempt (regression coefficient: 0.32). Having rules against smoking in the home (regression coefficient: 0.33) and having non-smoking family members or peers (regression coefficient: 0.11) had a positive indirect effect on smoking cessation, mediated through smoking behaviors (regression coefficient: 0.36). All paths were statistically significant (p <  0.01). The model explained 20% of the variability in smoking outcomes.

Conclusion

Family or peer-based cessation interventions that systematically increase intentions to quit and monitor smoking behavior may be able to assess the efficacy of family and peer support on quitting in people with mental health problems who smoke.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13979-z.

TOBACCO USE DISORDER AND DUAL DISORDERS Joint statement by the Spanish Psychiatry Society and the Spanish Dual Disorders Society

Tobacco Use Disorder (TUD) is a health problem of the first order in the world population, affecting a vulnerable population, such as people with other mental disorders, whose morbidity and mortality are increased as a result.

What makes people quit tobacco and succeed at it? An exploratory analysis of smoked and smokeless tobacco from India

Tobacco cessation is a key component of WHO's Framework Convention on Tobacco Control. However, success rates decline significantly from intending to quit tobacco, through attempting and becoming a successful quitter. Among Indian adults, the prevalence of smoking and smokeless tobacco use was 10.7% and 21.4% respectively in 2016. Furthermore, 9% of all deaths were estimated to be attributable to tobacco. This study aims to explore associations of socio-demographic, environmental and behavioural dimensions of tobacco users with the process of successful quitting. Multivariable logistic regression analyses were conducted to study (i) attempting to quit and (ii) being a successful quitter for smoked and smokeless tobacco, using cross-sectional Global Adult Tobacco Survey (GATS) datasets for India (2009-10 and 2016-17), where data was pooled from the two surveys (n = 53,463). Advise to quit by health care provider was associated with quit attempts of smoking (1.82, 95% CI: [1.51; 2.20]), and smokeless tobacco (1.71, 95% CI: [1.45; 2.01]). Never being exposed to smoke at home was the strongest environmental factor for successful smoking cessation (4.04, 95% CI: [2.59; 6.31]). Noticing label warnings and advertisements was also associated with attempting to quit smoked and smokeless tobacco. Being a former smoker/smokeless tobacco user was positively connected with attempting to quit the current use of the other tobacco form. We recommend strategies to promote smoke-free homes, and incorporating 'tobacco cessation advocacy' into the curriculum of health care workers. Strengthening the tobacco control law and program promulgated in India since 2003 and its implementation would significantly promote tobacco cessation.

Measuring treatment attrition at various stages of engagement in Opioid Agonist Treatment in Ontario Canada using a cascade of care framework

Background

The cascade of care framework is an effective way to measure attrition at various stages of engagement in Opioid Agonist Treatment (OAT). The primary objective of the study was to describe the cascade of care for patients who have accessed OAT from a network of specialized addiction clinics in Ontario, Canada. The secondary objectives were to evaluate correlates associated with retention in OAT at various stages and the impact of patients’ location of the residence on retention in OAT.

Design

A multi-clinic retrospective cohort study was conducted using electronic medical record (EMR) data from the largest network of OAT clinics in Canada (70 clinics) from 2014 to 2020. Study participants included all patients who received OAT from the network of clinics during the study period.

Measurements

In this study, four stages of the cascade of care framework were operationalized to identify treatment engagement patterns, including patients retained within 90 days, 90 to 365 days, one to 2 years, and more than 2 years. Correlates associated with OAT retention for 90 days, 90 to 365 days, 1 to 2 years, and more than 2 years were also evaluated and compared across rural and urban areas in northern and southern Ontario.

Results

A total of 32,487 patients were included in the study. Compared to patients who were retained in OAT for 90 days, patients who were retained for 90 to 365 days, 1 to 2 years, or more than 2 years were more likely to have a higher number of treatment attempts, a higher number of average monthly urine drug screening and a lower proportion of positive urine drug screening results for other drug use.

Conclusion

Distinct sociodemographic and clinical factors are likely to influence treatment retention at various stages of engagement along the OAT continuum. Research is required to determine if tailored strategies specific to people at different stages of retention have the potential to improve outcomes of OAT.

Comparative study of two birth cohorts: did the explanatory role of behavioural, social and psychological factors in educational inequalities in mortality change over time?

OBJECTIVES

To investigate the contribution of behavioural, social and psychological factors to inequalities in mortality by educational level between birth cohorts.

DESIGN

Cohort-sequential design.

SETTING

Two population-based studies in the Netherlands: the Longitudinal Aging Study Amsterdam (LASA) and the Doetinchem Cohort Study (DCS).

PARTICIPANTS

Data from the LASA included 1990 individuals with birth years 1928-1937 (cohort 1) and 1938-1947 (cohort 2) and, for replication, data from the DCS included 2732 individuals with birth years 1929-1941 (cohort 1) and 1939-1951 (cohort 2).

METHODS

Years of education, 15-year mortality, lifestyle factors, social factors and psychological factors were modelled using multiple-group accelerated failure time models based on structural equation modelling to compare indirect effects between cohorts.

RESULTS

Both studies showed similar educational inequalities, with higher mortality among those with lower education. The indirect effects of education via smoking (LASA: difference in survival time ratio (TR)=1.0018, 95% CI 1.0000 to 1.0155, DCS: TR=1.0051, 95% CI 1.0000 to 1.0183), physical activity (LASA: TR=1.0056, 95% CI 1.00009 to 1.0132) and alcohol use (LASA: TR=1.0275, 95% CI 1.0033 to 1.0194) on mortality were stronger in cohort 2 than in cohort 1. In contrast to the other effects, alcohol use was the only factor that was associated positively with education and survival time, which effect increased in the most recent cohort. Emotional support, network size and cognitive functioning showed no difference between cohorts.

CONCLUSIONS

Smoking, physical activity and alcohol use contributed more to educational inequalities in mortality in recent cohorts. Hence, in addition to tackling fundamental social causes of inequality, policies focusing on intermediary mechanisms such as lifestyle need to adapt their targets to those that prove to be most important within a given time frame.

Trajectories of motivation and self-efficacy during a smoking quit attempt: An ecological momentary assessment study

OBJECTIVE

Conceptual models of addiction highlight self-efficacy and motivation as key variables important during a smoking quit attempt; however, recent research has primarily focused on self-efficacy. Given the importance of motivation in these models, a clearer understanding of the effects of motivation during a smoking quit attempt is needed.

METHOD

This study utilized ecological momentary assessment (EMA) to investigate the dynamic effects of motivation and self-efficacy early in a quit attempt. Participants were 356 smokers (45% male; 34% African American, 33% non-Hispanic White, 33% Latino). Participants completed EMAs of motivation, self-efficacy, and smoking for 4 days prequit through 1 week postquit, and returned for a follow-up assessment at 4 weeks postquit. Trajectory parameters of motivation and self-efficacy (mean, slope, and volatility) were analyzed in separate and combined regression models to predict smoking outcomes.

RESULTS

Prequit results showed that parameters of motivation and self-efficacy were not associated with smoking on quit day. Postquit analyses revealed that participants with lower mean levels of motivation and self-efficacy were more likely to smoke at the end of Week 1. Moreover, individuals with decreasing levels of motivation over the first week of their quit attempt were more likely to be smoking at the end of Week 4.

CONCLUSIONS

These findings highlight the need to incorporate dynamic measures of motivation in smoking research. Furthermore, the results underscore the value of utilizing EMA methods and trajectory parameters to gain a more nuanced understanding of the dynamic effects that key mechanisms have on smoking during a quit attempt. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Racial/ethnic group comparisons of quit ratios and prevalences of cessation-related factors among adults who smoke with a quit attempt

BACKGROUND

Smoking-related disparities exist among racial/ethnic minoritized groups.

OBJECTIVE

We compared quit ratios and smoking cessation-related protective and risk factors by race/ethnicity to inform approaches to reduce disparities.

METHODS

Among adults who smoke with a quit attempt from Wave 4 (2016-2017) Population Assessment of Tobacco Use and Health Study, the following factors were examined by racial/ethnic group (American Indians/Alaska Native [AI/AN;n = 165], Black/African American [AA;n = 526], Asian [n = 38], Hispanic/Latino/Latina/Spanish [n = 475], or White [n = 1,960]), wherein each were nearly gender-balanced: cessation medications, counseling/self-help materials, home smoking ban, social support, e-cigarette use, sleep, and mental health.

RESULTS

Quit ratio was lower for AI/AN (adjusted odds ratio[aOR]:0.61) and Black/AA (aOR:0.49) and higher for Asian (aOR:1.90) and Hispanic/Latino/Latina/Spanish (aOR:1.30) than White adults. Medication use was low among all and lower among Black/AA (aOR:0.70) and Hispanic/Latino/Latina/Spanish (aOR:0.56) than White adults. Use of counseling/self-help materials were low among all and higher in AI/AN (aOR:1.85), Black/AA (aOR:1.87), and Hispanic/Latino/Latina/Spanish (aOR:1.49) than White adults. Presence of a smoking ban was lower among Black/AA (aOR:0.40) and higher in Hispanic/Latino/Latina/Spanish (aOR:1.59) than White adults. E-cigarette use was lower in Black/AA (aOR:0.53) and Hispanic/Latino/Latina/Spanish (aOR:0.43) than White adults. Sadness, anxiety, and sleep difficulties were higher in AI/AN (aORs:1.57, 1.50, 1.64) than White adults.

CONCLUSIONS

All racial/ethnic groups would benefit from policies and programs that increase cessation medications and counseling. Quit ratios were particularly low among Black/AA and AI/AN adults. Black/AA adults may benefit from efforts to increase smoking bans, while AI/AN adults may benefit from cessation approaches that simultaneously target sleep and mental health.

Moderators of the response to deep TMS for smoking addiction

INTRODUCTION

Deep repetitive transcranial magnetic stimulation (Deep TMS™) was recently cleared by the FDA as a short-term treatment for smoking cessation. However, it is unknown which participants are more likely to benefit from the treatment.

METHODS

We evaluated the data from the published randomized controlled trial of 262 participants 22-70 years old that led to the FDA clearance to characterize demographic and smoking history factors that moderate Deep TMS treatment efficacy. The current analysis included 75 completers in the active TMS group and 94 completers in the sham TMS group.

RESULTS

We found that participants younger than 40 had four times the quit rate than those older than 40. Additionally, participants who quit following treatment smoked 10 years less than non-quitters. Moreover, Caucasian participants had two times the quit rate than African-American participants. Strikingly, participants with more than 12 years of education had 7 times the quit rate than participants with less education.

CONCLUSION

Three weeks of Deep TMS has a higher smoking addiction quit rate in participants who are younger, more educated, Caucasian and with less extensive smoking history. Participants who are older, with less education and more extensive smoking history may need a longer treatment course and/or combined treatment modalities. Potential reasons may be related to the challenges of inducing neuronal modifications in those with greater physical and psychological dependence. Further investigation is warranted.

Improving lung cancer screening: An equitable strategy through a tobacco treatment clinic

Annual screening with low dose chest tomography has been adopted for those at high risk to aid in the early detection of lung cancer. In addition to screening, it is recommended that such persons receive evidence-based smoking-cessation. However, both lung cancer screening and evidence-based smoking-cessation strategies are underutilized in the US. We review the impact of a dedicated Tobacco Treatment Clinic (TTC), delivering evidence-based smoking cessation strategies, on lung cancer screening enrollment. Patients of the TTC, aged 50 years or older, having a minimum 20-pack-year smoking history were included. All patients had records reviewed to see if they had received lung cancer screening; if their lung cancer screening was achieved through the TTC, this was documented as “initial screening” versus “continued screening or surveillance”. Sociodemographic variables were collected as well. As for results, between January 2019 to February 2020, 92 patients enrolled in the TTC and fulfilled criteria for lung cancer screening. The mean age was 65.7 ± 8.3 years old, with 58 (63.0%) of the patients being female. Seventy-five (81.5%) patients were African American. Of the 92, 68 (73.9%) patients had lung cancer screening, with 51 patients receiving their first lung cancer screening scan through the TTC. In conclusion, through enrollment in a dedicated TTC, a significant proportion of patients were able to access lung cancer screening for the first time. Further, many of these patients were of minority status. Having a dedicated TTC may improve current health equity gaps in lung cancer screenings in certain US populations.

Factors Associated with the 30-Day and 1-Year Smoking Abstinence of Women in Korea: The Effect of Nicotine Dependency, Self-Efficacy, and Mental Illness

Despite the success of tobacco control efforts in reducing smoking rates during the past 50 years, data on the factors contributing to quitting success are still lacking. Smoking-related mortality among women has also not declined. Therefore, this study aimed to characterize sociodemographic features, smoking-related behaviors, mental illness, and smoking cessation in woman smokers in Korea who were registered in the Quitline program. Furthermore, factors associated with 30-day and 1-year successful smoking cessation after enrollment in the Quitline program were investigated. A total of 3360 adult woman Quitline users from 2007 to 2018 were included in the final analysis, with information on their age, education level, marital status, body mass index, frequency of alcohol consumption per month, nicotine dependency, self-efficacy for smoking cessation, presence of a smoking cessation supporter, and mental health history collected upon registration with the Quitline program in Korea. Their cessation outcome was investigated with a 1-year follow-up until the end of 2019. A multiple logistic regression analysis was conducted to identify factors associated with smoking cessation at the 30-day and 1-year follow-ups. The results of the multiple logistic regression analysis indicated that lower nicotine dependency, higher self-efficacy, and the presence of a smoking cessation supporter improved the odds of smoking cessation at the 30-day and 1-year follow-ups. In contrast, users with a mental health condition were less likely to achieve smoking cessation. Incorporating methods to increase self-efficacy in women who decide to quit smoking will contribute to facilitating more attempts to quit and achieving greater success in smoking cessation among woman smokers.

Factors that Predict Smoking Cessation among Older Koreans: Based on the Korea National Health and Nutrition Examination Survey 2016-2018

Background

Tobacco smoking is associated with several diseases and deaths in older Koreans. This study aimed to evaluate the factors associated with smoking cessation in older Koreans.

Methods

We selected 579 subjects who started smoking before the age of 65 years from the Korea National Health and Nutrition Examination Survey 2016–2018. We excluded the subjects who quit smoking before the age of 65 years, and then categorized the rest of subjects into those who stopped smoking after the age of 65 years and those who are constant smokers. Multivariable logistic analysis was performed to evaluate the factors related to smoking cessation among older Koreans.

Results

Among the participants, 66.1% were persistent smokers. After multivariable analysis, the factors significantly associated with smoking cessation were as follows: being in the age group of 75–79 years (adjusted odds ratio [aOR], 4.07; 95% confidence interval [CI], 2.12–7.83), being in the age group of 70–74 years (aOR, 3.10; 95% CI, 1.72–5.61), a family history of ischemic heart disease (aOR, 3.36; 95% CI, 1.09–10.35), and having had no cancer screening (aOR, 0.36; 95% CI, 0.18–0.70).

Conclusion

Further efforts to identify the factors related to smoking cessation will help formulate a smoking cessation policy.

Behavioral therapy and pharmacotherapy for relapse prevention in abstinent smokers: a rapid review and meta-analysis for the Korea Preventive Service Task Force

Objectives

This study aimed to assess the effectiveness of relapse prevention interventions involving behavioral and pharmacological treatment among abstinent smokers.

Methods

This rapid review was conducted using MEDLINE, Cochrane CENTRAL, CINAHL, Embase, KMbase, and KoreaMed to identify studies published until June 20, 2020. The participants were abstinent smokers who quit smoking on their own, due to pregnancy, hospitalization, or by participating in a smoking cessation program. We found a systematic review that fit the objective of this study and included 81 randomized controlled trials (RCTs). Studies that did not present information on smoking cessation status, had no control group, or used reward-based interventions were excluded. Random effect and fixed effect meta-analyses were used to estimate the relative risk (RR) and 95% confidence interval (CI). In subgroup analyses, differences between subgroups were verified based on the participant setting, characteristics, intervention type, and intensity.

Results

Following screening, 44 RCTs were included in the meta-analysis. The review reported no differences in the success rate of relapse prevention between the behavioral interventions. Pharmacotherapy interventions showed higher success rates (RR, 1.15; 95% CI, 1.05−1.26; I²=40.71%), depending on prior abstinence duration and the drug type.

Conclusion

The results indicated that pharmacotherapy has a significant effect on preventing relapse among abstinent smokers.

Establishment of a multimodal protocol combining a motivational interview, subcutaneous injection of NicoSan® and hyper-hydration for the "stopsmoking therapy": A multicentre real-life study'

OBJECTIVES

The StopSmoking Therapy, combins a motivational interview, a subcutaneous injection of NicoSan® and a hyperhydration protocol. The objectives were to evaluate the number of patients declaring cessation and factors related to relapse.

METHODS

In the 18 months following protocol, 554 subjects who consented, responded to the study's questionnaire. Categorical variables are presented as the frequency and percentage, continuous variables are presented as the mean and standard deviation, responses of abstinent subjects and of those who had started smoking again are compared via the chi-square test for categorical variables, and the Student's t-test for continuous variables.

RESULTS

In our sample 92.8% of the subjects reported smoking for 10 years or more. A total of 475 subjects (85.7%) reported a complete cessation (31.2% for more than 6 months and 33.1% for more than a year). Among relapsing subjects, were significantly over-represented: youngest ages, lower motivation, more frequent close friends or family using tobacco, lower dependency scores. No subject reported any significant adverse effects.

CONCLUSION

The multimodal protocol explored seems to have a favorable impact on smoking cessation, which could be enhanced by additional interventions dedicated to the youngest age groups, to people having smoking close friends and family, and should possibly add interventions based on cognitive behavioral therapy. A dedicated support by specialist tobacco addiction in the first weeks after treatment and/or the use of mobile support applications could also be useful. In order to asses efficacy, a prospective randomized double blind controlled versus placebo protocol could be considered.

Pain Status as a Predictor of Smoking Cessation Initiation, Lapse, and Relapse

INTRODUCTION

Pain and cigarette smoking are highly prevalent and frequently co-occurring conditions that interact in the manner of a positive feedback loop. Despite initial evidence that smokers with co-occurring pain may experience greater difficulty quitting, we are unaware of previous research that has tested prospective associations between pain status and the attainment of smoking cessation milestones.

AIMS AND METHODS

This study examined past 2-week pain status as a predictor of cessation milestones among current smokers who were motivated to quit (Sample 1; N = 301) and smokers who recently initiated a cessation attempt (Sample 2; N = 242). Cessation milestones included initiation of a quit attempt and 7-day point prevalence abstinence (PPA; Sample 1), lapse/relapse (Sample 2), and 7-day PPA at 2-month follow-up (both samples). Indirect associations between pain status and cessation milestones via confidence in quitting and nicotine withdrawal were also examined.

RESULTS

Smokers with pain (vs. no pain) were as follows: less likely to initiate a quit attempt and achieve 7-day PPA; more likely to lapse and/or relapse; and less likely to report 7-day PPA at follow-up. Pain status was indirectly associated with latency cessation milestones via confidence in quitting and with latency to lapse via withdrawal severity.

CONCLUSIONS

This study demonstrated that pain status can predict smoking cessation outcomes. Clinical implications include the need to assess pain in the context of quitting and that smokers with co-occurring pain may benefit from tailored/integrated cessation interventions.

IMPLICATIONS

A growing empirical literature indicates that the presence of co-occurring pain probably contributes to the maintenance of cigarette dependence. The current results provide novel evidence that smokers with co-occurring past 2-week pain are less likely to initiate a quit attempt and maintain smoking abstinence than smokers without co-occurring pain. These findings suggest that smokers with pain face unique barriers to quitting and underscore the utility of assessing and addressing pain among all smokers who are planning a smoking cessation attempt.

Factors Associated with Successful Smoking Cessation According to Age Group: Findings of an 11-Year Korea National Survey

Previous studies suggest that factors related to smoking cessation may vary with age. This study examined the factors affecting smoking cessation by age among Korean adult male smokers using data from the Korea National Health and Nutrition Examination Survey from 2007 to 2018 (excluding 2013). Logistic regression analyses were used to investigate various factors associated with smoking cessation in three different age groups. Out of a total of 15,492 individuals, 31.5% of the 3523 individuals aged 19-39 years (young adult), 54.7% of the 7390 individuals aged 40-64 years (middle-aged), and 78.6% of the 4589 individuals aged ≥65 years (older adults) succeeded in quitting. In the young adult and middle-aged groups, being married was associated with successful quitting, and lifetime smoking was associated with unsuccessful quitting. Willpower and several comorbidities were related to successful cessation in the middle-aged and older adult groups. Skipping any meal, which suggests unhealthy behavior, was negatively related to quitting in the young adult group. We observed that factors associated with smoking cessation success or failure differed by age, which should be considered when developing smoking cessation policies and programs.

Reasons for and Scenarios Associated with Failure to Cease Smoking: Results from a Qualitative Study Among Polish Smokers Who Had Unsuccessfully Attempted to Quit

PURPOSE

Most smokers attempt to quit smoking, but few are successful. Data regarding the reasons for this relapse and the course of the relapse process may be helpful for determining efficient methods of smoking cessation. This study aimed to identify the causes of and scenarios associated with smoking relapse after effective smoking cessation.

PATIENTS AND METHODS

We conducted 20 semi-structured interviews with smokers who had previously unsuccessfully attempted to quit. The data underwent qualitative content analysis.

RESULTS

Three major themes were identified: reasons for smoking relapse; smoking relapse scenarios; and perception of the influence of personal environments, including family and physicians, on refraining from smoking after cessation. The first theme comprised the following subthemes: insufficient willpower and self-discipline, contact with smokers, exposure to stressful situations, lack of family support, weight gain, and insufficient improvement in one's mental and physical well-being. The second theme contained enjoyable social events, professional life, critical events, and encouragement to smoke from family members. The respondents frequently emphasized the large role of interaction with other smokers.

CONCLUSION

The predominant factors underlying smoking relapse include insufficient willpower and self-discipline and exposure to stress. The most frequent relapse scenario concerned experiencing negative or positive emotions when interacting with other smokers.

The effect of smoking on depressive symptoms

BACKGROUND

People who smoke tend to report higher levels of psychological distress than those who do not smoke. However, studies suggest that smoking reduces many sub-dimensions of distress, including depressive symptoms. A negative (i.e. depression reducing) effect of smoking on depressive symptoms might be observed in survey panel data only after adjustment for the effect of depressive symptoms on smoking. Results from analyses that make that adjustment are presented within groups jointly defined by race and gender, and for all respondents in a representative sample of the U.S.

POPULATION

METHOD

Reciprocal effects of smoking and depressive symptoms (DSx) are estimated with dynamic panel models. Data are from the Americans' Changing Lives study which assessed smoking and depressive symptoms five times over 25 years. Additional analyses provide estimates of effect of continuing to smoke versus quitting.

RESULTS

The estimated effect of smoking on DSx after adjustment for the simultaneous effect of DSx on smoking and unobserved confounders is negative among women. The estimated effect among men is not statistically significant, and no race difference is observed.

CONCLUSIONS

The tendency for smoking to reduce depressive symptoms among American women is masked in analyses that fail to account for the reciprocal effect of depressive symptoms on smoking.

Predictors of Quitting Smoking in Cardiac Rehabilitation

Quitting smoking and participation in cardiac rehabilitation (CR) are effective strategies in reducing morbidity and mortality. However, little is known about the predictors of quitting smoking in those who attend CR. This study aimed to determine the sociodemographic and clinical factors associated with the likelihood of CR attendees who are quitting smoking. Data from the UK National Audit of Cardiac Rehabilitation (NACR) database, between April 2013 and March 2016, were used. Smoking status is categorized as smokers and quitters, assessed by patient self-report. The study used patient demographics, cardiovascular risk factors, comorbidities, and physical and psychosocial health measures. Binary logistic regression was performed to identify the predictors of quitting smoking among CR attendees. Of the 3290 patients who started CR and were entered into the NACR database, 2052 were continued smokers (mean age 58.59 ± 10.49 years, 73.6% men) and 1238 were quitters (mean age 57.63 ± 10.36 years, 75.8% men). The median duration of CR was 9 weeks. Compared to smokers, the quitters were younger, weighed more, were less anxious and depressed, and were more likely to be employed. Single patients had 0.60 times lower odds (95% CI 0.43 to 0.82) of quitting smoking than patients with partners, and low-risk patients had 1.71 times higher odds (95% CI 1.12 to 2.62) of quitting smoking than high-risk patients. Increasing number of comorbidities and depression scores were associated with decreasing likelihood of quitting. This study highlights the routine factors that determine smoking cessation outcomes, which could inform the delivery of CR to better help patients to quit smoking.

Different Characteristics of Ex-Smokers and Current Smokers with COPD: A Cross-Sectional Study in China

Purpose

Chronic obstructive pulmonary disease (COPD), usually caused by tobacco smoking, is increased in China. Smoking cessation is the first step in COPD management. Data on predictors of smoking cessation are sparse in COPD patients in China. We aim to find the differences in the clinical characteristics between ex-smokers and current smokers with COPD to determine the factors related to smoking cessation.

Patients and Methods

From outpatient departments of 12 hospitals in Hunan and Guangxi provinces, a total of 4331 patients were included. Information on demographic and sociological data, lung function, and modified Medical Research Council (mMRC) dyspnea scale scores were recorded. Patients were divided into an ex-smokers group and a current smokers group based on whether they gave up smoking. A logistic regression analysis was performed to analyze the factors associated with smoking cessation.

Results

Of the total, the mean age was 62.9±8.5 years, and 47.3% were ex-smokers. Compared with the current smokers, the ex-smokers were older, and had heavier dyspnea, more severe airflow limitation, fewer pack-years, shorter smoking duration, and a higher proportion of Global Initiative for Chronic Obstructive Lung Disease (GOLD) groups C and D. The logistic regression model showed that smoking cessation was negatively correlated with widowhood, years of smoking, and forced expiratory volume in 1 second (FEV1), but was positively correlated with age, education level, amount smoked, mMRC score, GOLD grades, and GOLD groups.

Conclusion

Among patients with COPD, more than half still smoked. In the group of patients who quit smoking, many of them quit rather late in age after they had significant symptoms. Several predictors of smoking cessation were identified, indicating that ex-smokers differ substantially from continuing smokers. This should be taken into account in smoking-cessation interventions.

Data-driven questionnaire-based cluster analysis of asthma in Swedish adults

The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis was performed using self-reported characteristics from a cohort of 1291 Swedish asthma patients. Disease burden was measured using the Asthma Control Test (ACT), the mini Asthma Quality of Life Questionnaire (mini-AQLQ), exacerbation frequency and asthma severity. Validation was performed in 748 individuals from the same geographical region. Three clusters; early onset predominantly female, adult onset predominantly female and adult onset predominantly male, were identified. Early onset predominantly female asthma had a higher burden of disease, the highest exacerbation frequency and use of inhaled corticosteroids. Adult onset predominantly male asthma had the highest mean score of ACT and mini-AQLQ, the lowest exacerbation frequency and higher proportion of subjects with mild asthma. These clusters, based on information from clinical questionnaire data, might be useful in primary care settings where the access to spirometry and biomarkers is limited.

"Look at Me, I Plan to Quit Smoking": Bayesian Hierarchical Analysis of Adolescent Smokers' Intention to Quit Smoking

The tobacco epidemic is one of the most prominent public health threats the world has ever faced. Public health policy that seeks to limit the problem may have to target not only the price of tobacco but also the initiation stage in a smoker’s life—the adolescent stage. Most research on teen smoking focuses on initiation and other stories. Moreover, what determines the desire to quit smoking among teens is not well understood, even though planning to quit smoking is an important stage toward successful cessation. This research contributes to healthcare literature by using Bayesian hierarchical techniques, estimated using Hamiltonian Monte Carlo (HMC) and its extension, the No-U-Turn Sampler (NUTS), to empirically identify what drives the intention to quit smoking among teen smokers in Zambia. Results suggest that, among the junior secondary school-going adolescent smokers in Zambia, about 63% have plans to quit smoking. We find socio-demographic characteristics and several tobacco-smoking-related factors as salient drivers of adolescent smokers’ plans to quit smoking. For policymaking, we recommend that school-going teen smokers should have access to smoking cessation aids to help them quit smoking. Most importantly, increased awareness of dangers of smoking, advice by health professionals, stringent public policies on smoking, as well as parental guidance could be useful to help adolescent smokers realize their quitting plans.

The effect of outdoor smoking ban: Evidence from Korea

To address exposure to secondhand smoke, which is highly prevalent in Korea, local governments have implemented smoking bans at open public places (parks, bus stops, and school zones) since 2011. Exploiting temporal and spatial variation in the implementation dates of these bans, this study estimates their causal effects on individual smoking behavior. The individual-level longitudinal data from the 2009-2017 Korean Labor and Income Panel Study are linked to the smoking ban legislation information from the National Law Information Center. I find robust evidence that outdoor smoking bans increased the probability of making a quit attempt by 16%. This effect appears immediately after a ban goes into effect and lasts for three or more years. People who spend more time outdoors are more likely to change smoking behavior. I also find heterogeneity in effects across the amount of monetary penalty. Whereas the policy change did not affect the prevalence of smoking overall, higher penalties had stronger impacts on reducing the intensity of smoking and increasing the propensity to try to quit.

Effectiveness of a Brief Self-determination Theory-Based Smoking Cessation Intervention for Smokers at Emergency Departments in Hong Kong: A Randomized Clinical Trial

IMPORTANCE

Clinicians have an opportunity to provide smoking cessation interventions to smokers who present to emergency departments (EDs). The effectiveness of a brief intervention based on self-determination theory for smoking cessation is uncertain.

OBJECTIVE

To examine the effectiveness of a brief intervention based on self-determination theory for smoking cessation (immediate or progressive) among Chinese smokers presenting at EDs in Hong Kong.

DESIGN, SETTING, AND PARTICIPANTS

This single-blind, multicenter intent-to-treat randomized clinical trial was conducted at the EDs of 4 major acute care hospitals in different districts of Hong Kong. In total, 1571 smokers 18 years or older who presented at 4 major EDs between July 4, 2015, and March 17, 2017, were randomized into an intervention group (n = 787) and a control group (n = 784).

INTERVENTIONS

The intervention group received brief advice (about 1 minute) and could choose their own quit schedules (immediate or progressive). The control group received a smoking cessation leaflet.

MAIN OUTCOMES AND MEASURES

Follow-up visits were conducted at 1, 3, 6, and 12 months. The primary outcome measure, by intent to treat, was biochemically validated abstinence at 6 months.

RESULTS

Participants (N = 1571) included 1381 men (87.9%); the mean (SD) age at baseline was 47.4 (16.4) years. Among participants who self-reported abstinence at 6 months, 50.3% (85 of 169) had biochemical validation by both an exhaled carbon monoxide test and a saliva cotinine test. Compared with the control group, the intervention group had statistically higher biochemically validated abstinence at 6 months: 6.7% (53 of 787) vs 2.8% (22 of 784) (P < .001), with an adjusted relative risk of 3.21 (95% CI, 1.74-5.93; P < .001). The intervention group also had higher self-reported quit rates at 6 months (12.2% [96 of 787] vs 9.3% [73 of 784], P = .04) and 12 months (13.0% [102 of 787] vs 8.5% [67 of 784], P < .01), as well as higher biochemically validated abstinence at 12 months (7.0% [55 of 787] vs 3.7% [29 of 784], P < .001). The additional cost for each intervention group participant was US $0.47, with an estimated gain of 0.0238 quality-adjusted life-year. The incremental cost per quality-adjusted life-year (US $19.53) fell within acceptable thresholds.

CONCLUSIONS AND RELEVANCE

This brief, low-cost self-determination theory-based intervention for smokers presenting at EDs effectively increased the biochemically validated quit rate at 6 months. If delivered routinely, such a simple intervention may offer a cost-effective and sustainable approach to help many smokers quit smoking.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02660957.

Smoking behavior and social contexts associated with smoking among dual-smoker couples

OBJECTIVES

To examine smoking behavior and social contexts related to smoking among dual-smoker couples.

DESIGN

Cross-sectional online survey study.

SAMPLE

A convenience sample of 183 dual-smoker couples.

MEASUREMENTS

Investigator-developed survey on smoking and related social contexts.

RESULTS

Participants smoked 16.0 cigarettes daily for 14.2 years; 48.4% shared more than half of their smoking time with their spouse. More than half made quit attempts in the past year individually (M = 5.3) and jointly (M = 2.5). Couples sharing more smoking time were more likely to be motivated to quit (p = .002), make quit attempts (p < .0001), and be interested in cessation interventions (p = .002); but less likely to implement home smoking bans (p < .001). Among those who reported quit attempts, 41% quit by themselves and 15.3% sought professional assistance. Most common reasons for relapse were chronic stress and crisis, 63.6%, however, were interested in smoking cessation services, preferably technology-based interventions.

CONCLUSIONS

We found smoking interdependence within dual-smoker couples. Despite high levels of motivation to quit, most did not utilize professional help, leading to low successful quit rates. Technology-based smoking cessation interventions incorporating spousal support and addressing stress/crisis may best assist dual-smoker couples.

Clinical, sociodemographic and tobacco-use factors associated with smoking cessation rates at three years follow-up, Ankara, Turkey

INTRODUCTION

Smoking is a well-known major cause of early preventable mortality and morbidity. Maintenance of smoke-free status is important after a smoking cessation attempt. The present study aims to compare the sociodemographic and clinical characteristics of subjects participating in a smoking-cessation program, according to the duration of smoking cessation.

METHODS

A study was conducted in 261 smokers who had attended a smoking cessation clinic in a tertiary hospital, in Ankara, Turkey. The smoking status of the subjects at three years follow-up after participating in the smoking-cessation program was assessed. Sociodemographic, employment, environmental, smoking-related, health and clinical characteristics of subjects were compared according to the smoking cessation duration.

RESULTS

Marital status, having a child, absence of household smoking and lower levels of nicotine dependence were significantly higher in quitters, and anxiety was lower. Parameters that significantly differed between subjects that were and were not abstinent for >36 months were marital status (p<0.001), childbearing status (p=0.007), household smoking (p<0.001), age of smoking initiation (p=0.02), psychiatric illness history (p=0.01), and number of follow-up visits (p<0.001). The number of follow-up visits at the smoking cessation clinic was an important factor of quitting and maintenance of quit status.

CONCLUSIONS

Family and home environment as well as smoking-related and mental health characteristics influenced maintenance of long-term smoking cessation. Characteristics such as sociodemographic, clinical and smoking-related conditions should be considered in smoking cessation interventions. Personalized treatment strategies and follow-up visits at the smoking cessation clinic should be planned for maintenance of smoking cessation.

Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital

The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects—101 smokers and 39 ex-smokers—referred to our clinic for respiratory diseases. Subject characteristics included demographic data, employment and education status, respiratory disease family history, smoking habits, life habits, diet, alcohol intake, and physical activity. In comparison with former smokers, active smokers were younger, lived with at least one smoking family member, and were more frequently exposed to passive smoke. They also displayed a higher coffee consumption, a higher frequency of in-between-meal snacks, and a lower chronic obstructive pulmonary disease (COPD) prevalence. In comparison with subjects who had never attempted to quit smoking, individuals who had attempted to quit smoking were younger, had a lower pack-year median, consumed a higher amount of coffee and alcohol, and conducted regular physical activity. Determinants of successful smoking cessation were older age, lower passive smoking exposure and daily coffee intake, and COPD diagnosis. Overall, our findings underscore the importance of health education in fostering successful smoking cessation in respiratory disease patients.

The Association of Physical Activity and Mortality Risk Reduction Among Smokers: Results From 1998-2009 National Health Interview Surveys-National Death Index Linkage

BACKGROUND

The mortality benefits of meeting the US federal guidelines for physical activity, which includes recommendations for both aerobic and muscle-strengthening activities, have never been examined among smokers. Our aim was to investigate the association between reporting to meet the guidelines and all-cause, cancer, cardiovascular disease, and respiratory disease mortality among smokers.

METHODS

We pooled data from the 1998-2009 National Health Interview Survey, which were linked to records in the National Death Index (n = 68,706). Hazard ratios (HR) were computed to estimate the effect of meeting the physical activity guidelines on mortality.

RESULTS

Smokers who reported meeting the guidelines for physical activity had 29% lower risk of all-cause mortality (HR: 0.71; 95% confidence interval [CI], 0.62-0.81), 46% lower risk of mortality from cardiovascular disease (HR: 0.54; 95% CI, 0.39-0.76), and 26% lower risk of mortality from cancer (HR: 0.74; 95% CI, 0.59-0.93), compared with those who reported meeting neither the aerobic nor the muscle-strengthening recommendations of the guidelines. Meeting the aerobic recommendation of the guidelines was associated with a 42% decline in that risk (HR: 0.58; 95% CI, 0.44-0.77).

CONCLUSION

Smokers who adhere to physical activity guidelines show a significant reduction in mortality.