Smoking cessation and attempted cessation among adults in the United States

Real-Life Effectiveness of Smoking Cessation Delivery Modes: A Comparison Against Telephone Counseling and the Role of Individual Characteristics and Health Conditions in Quit Success

INTRODUCTION

Professional behavioral counseling for smoking cessation can be delivered in many forms, which may not work equally well for everyone. We aim to explore in a real-world setting whether different delivery modes yield different rates of quit success and whether quit success varies based on gender, age, educational level, and being treated for a health condition.

AIMS AND METHODS

We used monitoring data (n = 13 747) from a smoking cessation counseling provider in the Netherlands (September 2018 to August 2021) to compare differences in quit success immediately after the end of counseling and at 12-month follow-up between telephone and other modes of counseling. Participants chose which mode of counseling they received. At the 12-month follow-up, we also examined differences in quit success based on demographic characteristics and whether one is being treated for various health conditions.

RESULTS

Participants of in-person group counseling and online in-company group counseling were significantly more likely to have quit immediately after the counseling compared with telephone counseling (OR = 1.25, 95% CI = 1.08-1.44; OR = 1.63, 95% CI = 1.18-2.24). Analyses revealed no significant differences in quit success between telephone and other modes of counseling after 12 months. Those treated for a respiratory or psychological condition were less likely to have maintained quit success, as were women, and participants with a lower educational level.

CONCLUSIONS

When chosen by oneself, the mode of smoking cessation counseling received does not appear to be important for long-term quit success. However, certain groups warrant extra support to prevent excessive program attrition and unsuccessful quit attempts.

IMPLICATIONS

Our findings suggest that when chosen by oneself, the delivery mode of smoking cessation counseling does not appear to be important for long-term quit success. This finding is of particular relevance for those who are unable to attend in-person cessation counseling due to, for instance, reduced accessibility or mobility. We also found that women, lower educated, and younger participants were more likely to dropout of the cessation program or to not have maintained a quit attempt, signaling that disparities in smoking cessation persist when standardized counseling is given, and therefore more tailored counseling may be necessary for these groups.

Factors associated with attempting and succeeding in smoking cessation following a National Tobacco Control Plan: Analysis of two nationwide surveys (2010 and 2017)

INTRODUCTION

Lower rates of smoking cessation among disadvantaged groups contribute to widening health-disparities. With this recognition, in 2010 free-of-charge/subsidized smoking cessation services became available to all Israeli residents through the not-for-profit health plans.

METHODS

Based on two cross-sectional National Social Surveys, data on adult ever-smokers were used (n = 2,998 in 2010 and 2,859 in 2017). The outcome variable comprised three categories: no quit attempt, unsuccessful quit attempt and successful quit attempt. Changes over-time and demographic, socioeconomic, health- and smoking-related factors associated with quitting attempts and success were tested in the pooled sample, using multivariable multinomial logistic regression models.

RESULTS

The pooled sample of the two surveys included 2,611 participants (44.2%) who were successful quitters, 1,941 (32.7%) who reported an unsuccessful quit attempt, and 1,305 (23.1%) smokers who did not attempt to quit. Compared to 2010, ever-smokers in 2017 were less likely to report an unsuccessful quit attempt (adjusted OR = 0.81, 95%CI: 0.70-0.94). The likelihood of successfully quitting was similar in both surveys. Older age and self-reported health problem were associated with higher likelihood of quitting attempt. Meeting living expenses, being overweight/obese, engaging in physical activity and heavy smoking were associated with higher likelihood of successful smoking cessation; while environmental tobacco exposure was associated with 43% lower likelihood of successful cessation. Finally, there was an interaction between education and ethnicity. Higher education level was associated with a greater likelihood both to attempt to quit smoking and to succeed among Jewish participants, while the opposite phenomenon was observed among Arab smokers.

CONCLUSIONS

Despite the availability of subsidized smoking cessation services, social disparities in smoking cessation rates persist. Efforts should focus on proactively reaching subpopulations with low cessation rates, using tailored strategies for successful smoking cessation. Promoting smoke free homes and workplaces should be prioritized.

A quality improvement initiative for patients with chronic kidney disease to promote their smoking cessation

Cigarette smoking is a critical issue in caring for patients of chronic kidney disease (CKD). However, there is no routine care program designed for combining both smoking cessation and CKD care. The process of our quality improvement (QI) collaboration used data under our routine payment-for-performance for pre-end-stage renal disease (P4P Pre-ESRD) in Taichung Veterans General hospital from 2020 to 2022. We share our experience with a QI project that integrates the Ottawa model for smoking cessation (OMSC) with the Pre-ESRD care program as part of routine CKD care. The electronic health information systems were improved to reduce workload of medical staff. The number was more for both qualified CKD educators and nephrologists for smoking cessation. The access and availability for smoking cessation were immediate and convenient for patients. Specifically, all the actions were performed by CKD educators, with nephrologists overseeing the process in routine care. By combining OMSC with the Pre-ESRD program, we were able to provide smokers with satisfactory access and availability to smoking cessation services within our healthcare facility. The smoker cases found were more in number (206 in 2020, 344 in 2021, and 421 in 2022). Before the integrated OSTC-Pre-ESRD program (in 2020), the proportion of smokers was 3.88%. After implementing the integrated program, smokers increased significantly on a yearly basis (9.69% in 2021 and 9.82% in 2022). Finally, case numbers of on-site smoking cessations increased significantly after implementing the integrated system (0 in 2020, 17 in 2021, and 20 in 2022). All CKD patients for smoking cessation were also more (8 in 2020, 46 in 2021, and 38 in 2022). After implementing the QI program, focusing on the integrated OMSC-Pre-ESRD program, we found more smokers undergoing smoking cessation. This QI program highlighted the importance of better access and availability for smoking cessation.

Unveiling the Tapestry of Tobacco Consumption: Exploring the Sociodemographic Factors Impacting Smokers at Smoking Cessation Clinics in Jeddah

Background The World Health Organization (WHO) has identified tobacco smoking as a global epidemic, causing an estimated three million deaths annually. This study aims to examine the sociodemographic characteristics and smoking-related behaviors among individuals attending smoking cessation clinics in Jeddah during 2022. By identifying these factors, appropriate interventions can be developed to combat the smoking epidemic. Methodology The study enrolled male and female participants who visited the Smoking Cessation Clinics in Jeddah from January 2022 to December 2022. Eligible participants were between 18 and 60 years old and agreed to take part in the study. Data on smoking status, medical history, previous attempts at quitting, and medication use were collected. Statistical analysis, including chi-square tests and P-values, was conducted to assess the associations between participants' medical history and smoking cessation attempts. Results A total of 5,869 participants were included in the study. The findings revealed that approximately one-fifth of the participants had previously attempted to quit smoking, while the majority 4,780 (81.4%) had not made any cessation attempts. Among those who had made quit attempts, the majority had tried quitting between one and four times 968 (16.5%). The duration of successful cessation reported by participants was generally short, with the majority 4,781 (81.5%) not experiencing any extended period of quitting. Common reasons for relapse included cravings, social influences, mood changes, stress, and withdrawal symptoms. The study also found significant associations between specific medical conditions and smoking cessation attempts. Conclusions The study identified significant associations between male gender, older age group (51-60 years), divorced marital status, intermediate educational levels, higher income levels, retired status, extreme body mass index (BMI) categories, and previous attempts at smoking cessation. Healthcare providers and policymakers should consider these findings when developing and implementing smoking cessation programs. The insights gained from this research can contribute to the development of targeted interventions to reduce smoking rates and improve public health outcomes.

Why Can't I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program

Introduction  As the leading cause of preventable chronic diseases in adults 18 years and older, tobacco usage in the U.S. results in over 20 million premature deaths annually. Current smokers might need extra support on the path to successfully quitting.  Aim To evaluate the influence of predictors of smoking-on-smoking cessation in the Freedom From Tobacco Program (FFT) offered by Southern California Permanente Medical Group (SCPMG). Methods This was a quasi-experimental study to evaluate rates of smoking cessation among participants in the FFT program. There were 471 participants in the study. Factors of the Social Ecological Model (SEM) and demographics were examined to determine if they could predict tobacco cessation. The SEM suggests that an individual's behavior is integrated into a network of intrapersonal characteristics, interpersonal processes, institutional factors, community features, and public policy. In particular, the study mainly addressed the institutional factor. It was promoted within a Health Management Organization and the interpersonal process because it was a group intervention.  Findings  After multiple regression analyses with all predictors from the SEM and demographics, the only significant predictor was the number of previous attempts to quit. Smokers who tried to stop four or more times in the past were 2.6 times (p<0.03) more likely to quit than those who tried fewer times. As we are aware, this was the first time this result was found for programs implemented by Health Management Organizations. The general quit rate at 12 months for the FFT program was 43.1%. Conclusion As the only predictor of quitting in this study was the number of previous attempts to quit smoking, the recommendation is to develop longer-term smoking cessation programs or a longer follow-up to facilitate smokers who relapse to go back and try to quit again. Another recommendation is to identify the main reasons for relapse and try to address these factors in further interventions.

Place-Based Drivers of Mortality: Evidence from Migration

We estimate the effect of current location on elderly mortality by analyzing outcomes of movers in the Medicare population. We control for movers' origin locations as well as a rich vector of pre-move health measures. We also develop a novel strategy to adjust for remaining unobservables, using the correlation of residual mortality with movers' origins to gauge the importance of omitted variables. We estimate substantial effects of current location. Moving from a 10th to a 90th percentile location would increase life expectancy at age 65 by 1.1 years, and equalizing location effects would reduce cross-sectional variation in life expectancy by 15 percent. Places with favorable life expectancy effects tend to have higher quality and quantity of health care, less extreme climates, lower crime rates, and higher socioeconomic status.

Development of Machine Learning Models for Prediction of Smoking Cessation Outcome

Predictors for success in smoking cessation have been studied, but a prediction model capable of providing a success rate for each patient attempting to quit smoking is still lacking. The aim of this study is to develop prediction models using machine learning algorithms to predict the outcome of smoking cessation. Data was acquired from patients underwent smoking cessation program at one medical center in Northern Taiwan. A total of 4875 enrollments fulfilled our inclusion criteria. Models with artificial neural network (ANN), support vector machine (SVM), random forest (RF), logistic regression (LoR), k-nearest neighbor (KNN), classification and regression tree (CART), and naïve Bayes (NB) were trained to predict the final smoking status of the patients in a six-month period. Sensitivity, specificity, accuracy, and area under receiver operating characteristic (ROC) curve (AUC or ROC value) were used to determine the performance of the models. We adopted the ANN model which reached a slightly better performance, with a sensitivity of 0.704, a specificity of 0.567, an accuracy of 0.640, and an ROC value of 0.660 (95% confidence interval (CI): 0.617–0.702) for prediction in smoking cessation outcome. A predictive model for smoking cessation was constructed. The model could aid in providing the predicted success rate for all smokers. It also had the potential to achieve personalized and precision medicine for treatment of smoking cessation.

Transferability of Ancestry-Specific and Cross-Ancestry CYP2A6 Activity Genetic Risk Scores in African and European Populations

The Nicotine Metabolite Ratio (NMR; 3-hydroxycotinine/cotinine), a highly heritable index of nicotine metabolic inactivation by the CYP2A6 enzyme, is associated with numerous smoking behaviors and diseases, as well as unique cessation outcomes. However, the NMR cannot be measured in nonsmokers, former smokers, or intermittent smokers, for example, in evaluating tobacco-related disease risk. Traditional pharmacogenetic groupings based on CYP2A6 * alleles capture a modest portion of NMR variation. We previously created a CYP2A6 weighted genetic risk score (wGRS) for European (EUR)-ancestry populations by incorporating independent signals from genome-wide association studies to capture a larger proportion of NMR variation. However, CYP2A6 genetic architecture is unique to ancestral populations. In this study, we developed and replicated an African-ancestry (AFR) wGRS, which captured 30-35% of the variation in NMR. We demonstrated model robustness against known environmental sources of NMR variation. Furthermore, despite the vast diversity within AFR populations, we showed that the AFR wGRS was consistent between different US geographical regions and unaltered by fine AFR population substructure. The AFR and EUR wGRSs can distinguish slow from normal metabolizers in their respective populations, and were able to reflect unique smoking cessation pharmacotherapy outcomes previously observed for the NMR. Additionally, we evaluated the utility of a cross-ancestry wGRS, and the capacity of EUR, AFR, and cross-ancestry wGRSs to predict the NMR within stratified or admixed AFR-EUR populations. Overall, our findings establish the clinical benefit of applying ancestry-specific wGRSs, demonstrating superiority of the AFR wGRS in AFRs.

Willingness to quit tobacco and its correlates among Indian tobacco users-Findings from the Global Adult Tobacco Survey India, 2016-17

Background

Willingness to quit in a tobacco user forms the basis for future quit attempts and quitting successfully.

Objective

To determine the prevalence and correlates of willingness to quit among tobacco users in India using the Global Adult Tobacco Survey (GATS), India, 2016-2017.

Methods

GATS, 2016-17 was a multistage geographically clustered sample survey done among 74,037 individuals aged 15 years and above across all the states and two of the Union Territories of India. Data of all those reported using any form of tobacco were studied for past attempts to quit tobacco, advised to quit by a health care provider, and exposure to anti-tobacco messages delivered through various media and the correlation of these with the willingness to quit using multivariate analysis.

Results

Of the 21,085 current tobacco users in the survey, 11,679 (52.2%), were willing to quit all forms of tobacco. Multivariate analysis showed that those in younger age groups (OR: 1.39 [1.23-1.56]), higher education levels (OR 1.15 [1.05-1.18]), time of first tobacco use in the day being more than 60 min after waking up in the morning (OR 1.11 [1.03-1.2]), history of attempts to quit in the past 12 months (OR 1.78 [1.69-1.87]), those advised to quit by health care provider in the past 12 months (OR 1.11 [1.06-1.17]), those using single form of tobacco (OR 1.1 [1.05-1.17]), those exposed to anti-tobacco messages in newspapers/magazines (OR 1.1 [1.05-1.17]), and cinemas (1.14 [1.08-1.20]) were more willing to quit compared to their counterparts.

Conclusion

Enhanced publicizing of anti-tobacco messages through the currently employed media, and ensuring that doctors give a brief advice to quit during any contact with a tobacco user could improve the willingness to quit and the consequent quit rate, especially among those tobacco users who are in younger age groups and who have attempted to quit earlier.

Prevalence and Factors Associated With Attempts to Quit and Smoking Cessation in Malaysia

Smoking cessation significantly reduces risk of smoking-related diseases and mortality. This study aims to determine the prevalence and factors associated with attempts to quit and smoking cessation among adult current smokers in Malaysia. Data from the National E-Cigarette Survey 2016 were analyzed. Forty nine percent of current smokers had attempted to quit at least once in the past 12 months and 31.4% of the respondents were former smokers. Multivariable analysis revealed that current smokers with low nicotine addiction and aged below 45 years were more likely to attempt to quit smoking. Being married, older age group, and having tertiary education were significantly associated with smoking cessation. Only half of the current smokers ever attempted to quit smoking and only a third of smokers quit. Stronger tobacco control policies are needed in Malaysia to encourage more smokers to quit smoking. Improved access to cessation support for underprivileged smokers is also needed.

Impact of e-cigarette use among a cohort of American Indian cigarette smokers: associations with cigarette smoking cessation and cigarette consumption

INTRODUCTION

Despite American Indian/Alaska Native (AI/AN) people having the highest prevalence of cigarette smoking nationwide, few studies have evaluated e-cigarette use among AI/AN adults who smoke. The primary objective of this observational pilot cohort study was to determine if e-cigarette use is associated with cigarette smoking cessation or reduction among adult AI individuals who smoke.

METHODS

In 2016, we collected baseline survey and biomarker data among AI adults who smoke. The survey included questions about cigarette consumption and use of e-cigarettes and biomarkers, such as salivary cotinine markers and exhaled carbon monoxide. After 18 months, we repeated data collection, and asked about changes in cigarette smoking status and cigarettes per day (CPD). Comparisons between groups were performed using the χ² test, Fisher's exact test or Wilcoxon rank-sum test.

RESULTS

Of 375 baseline participants, 214 (57.07%) returned for follow-up and were included in analyses. Of these, 20 (9.3%) reported having stopped cigarette smoking and had biochemical verification of cigarette smoking abstinence. Among those who quit smoking, 15% were baseline e-cigarette users; while among those who continued to smoke at follow-up, about 11% were baseline e-cigarette users. This difference was not statistically significant (p=0.48). Among all those who continued to smoke at follow-up, there was no overall decrease in CPD, nor a significant difference in change in CPD between baseline e-cigarette users and non-users (p=0.98).

CONCLUSIONS

E-cigarette use at baseline was not associated with smoking cessation or a change in CPD in this cohort of AI adults who smoke after an 18-month follow-up period.

Determinants of cigarette smoking status in a national cohort of black and white adult ever smokers in the USA: a cross-sectional analysis of the REGARDS study

OBJECTIVES

While awareness of cigarette smoking's harmful effects has increased, determinants associated with smoking status remain understudied, including potential racial differences. We aim to examine factors associated with former versus current smoking status and assess whether these associations differed by race.

SETTING

We performed a cross-sectional analysis using the population-based Reasons for Geographic and Racial Differences in Stroke(REGARDS)study.

OUTCOME MEASURES

Logistic regression was used to calculate the OR of former smoking status compared with current smoking status with risk factors of interest. Race interactions were tested using multiplicative interaction terms.

RESULTS

16 463 participants reported smoking at least 100 cigarettes in their lifetime. Seventy-three per cent (n=12 067) self-reported former-smoker status. Physical activity (reference (REF) <3×/week; >3×/week: OR=1.26, 95% CI 1.11 to 1.43), adherence to Mediterranean diet (REF: low; medium: OR=1.46, 95% CI 1.27 to 1.67; high: OR=2.20, 95% CI 1.84 to 2.64), daily television viewing time (REF: >4 hours; <1 hour: OR=1.32, 95% CI 1.10 to 1.60) and abstinence from alcohol use (REF: heavy; none: OR=1.50, 95% CI 1.18 to 1.91) were associated with former-smoker status. Male sex, higher education and income $35 000-$74 000 (REF: <$20 000) were also associated with former-smoker status. Factors associated with lower odds of reporting former-smoker status were younger age (REF: ≥65 years; 45-64 years: OR=0.34, 95% CI 0.29 to 0.39), black race (OR=0.62, 95% CI 0.53 to 0.72) and single marital status (REF: married status; OR=0.66, 95% CI 0.51 to 0.87), being divorced (OR=0.60, 95% CI 0.50 to 0.72) or widowed (OR=0.70, 95% CI 0.57 to 0.85). Significant interactions were observed between race and alcohol use and dyslipidaemia, such that black participants had higher odds of reporting former-smoker status if they were abstinent from alcohol (OR=2.32, 95% CI 1.47 to 3.68) or had a history of dyslipidaemia (OR=1.31, 95% CI 1.06 to 1.62), whereas these relationships were not statistically significant in white participants.

CONCLUSION

Efforts to promote tobacco cessation should consist of targeted behavioural interventions that incorporate racial differences.

Impact of Referral Sources and Waiting Times on the Failure to Quit Smoking: One-Year Follow-Up of an Italian Cohort Admitted to a Smoking Cessation Service

In Italy, the National Health Service offers specialized evidence-based support to smokers who would like to quit through smoking cessation (SC) services. We conducted a two-year prospective study, involving all 288 subjects treated for smoking cessation at the SC service of Reggio Emilia, to assess the association of referral sources and waiting times with the risk of treatment failure, by following participants up to one year after the quit date. We performed Cox-regression analysis, including demographic and smoking-related characteristics as confounding variables. The treatment failure rate at 12 months was 59.4% (171/288), including only 12 subjects lost to follow-up. The main mode of entry was self-referral (42.4%), followed by 32.6% from general practice, 17.4% from hospital and 7.6% from other sources. Only 27.8% participants were involved in the SC-program within 60 days of the first contact, as the guidelines suggest. The risk of treatment failure at 12 months showed little association with the type of referral source, while it correlated with waiting times ≥ 60 days (hazard ratio = 1.59; 95% confidence interval 1.10⁻2.29). This study provides evidence of long-term high quit rates from a SC service, with few subjects lost to follow-up and biochemical verification of almost all abstinent subjects. Timeliness in care provision could further improve the outcome.

Cigarette Smoking in Persons Living with Hepatitis C: The National Health and Nutrition Examination Survey (NHANES), 1999-2014

BACKGROUND

Cigarette smoking is common in persons living with hepatitis C (hepatitis C+), but national statistics on this harmful practice are lacking. A better understanding of smoking behaviors in hepatitis C+ individuals may help in the development of targeted treatment strategies.

METHODS

We extracted data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2014. Hepatitis C+ were compared with hepatitis C- adults in the entire sample and in the subset of current smokers. Measures included demographics, current smoking, cigarettes/day, nicotine dependence, other tobacco use, substance use, and medical and psychiatric comorbidities.

RESULTS

Complete smoking and hepatitis C virus (HCV) data were available for 39,472 (90.1%) of 43,793 adult participants in NHANES during the study years. Hepatitis C+ smoked at almost triple the rate of hepatitis C- adults (62.4% vs 22.9%), with no significant difference between hepatitis C+ men and women (64.5% vs 58.2%). Hepatitis C+ smokers were more likely to smoke daily than hepatitis C- smokers (87.5% vs 80.0%), but had similar levels of nicotine dependence. Hepatitis C+ smokers were more likely to be older (mean age: 47.1 vs 41.5 years), male (69.4% vs 54.4%), Black (21.2% vs 12.1%), less educated (any college: 31.8% vs 42.9%), poor (mean family monthly poverty index: 1.80 vs 2.47), uninsured (43.9% vs 30.4%), use drugs (cocaine: 11.1% vs 3.2%; heroin: 4.0% vs 0.6%), and be depressed (33.2% vs 13.5%). Multivariate analyses revealed significant associations of both hepatitis C infection and cigarette smoking with current depression and hypertension.

CONCLUSIONS

There is a cigarette smoking epidemic embedded within the hepatitis C epidemic in the United States. The sociodemographic profile of hepatitis C+ smokers suggests that the implementation of effective tobacco treatment will be challenging. Thoughtful treatment strategies that are mindful of the unique characteristics of this group are needed.

The Association of Menthol Cigarette Use With Quit Attempts, Successful Cessation, and Intention to Quit Across Racial/Ethnic Groups in the United States

Introduction

Few studies have examined the relationship between menthol use and smoking cessation across various racial/ethnic groups; the findings were mixed. This study explored the association of menthol cigarette use with quit attempts, smoking cessation, and intention-to-quit among US adults and by race/ethnicity.

Methods

Using the 2006/2007 and 2010/2011 Tobacco Use Supplements to the Current Population Survey data, this study analyzed 54 448 recent active smokers, defined as current smokers or former smokers who quit less than 12 months ago. Three behaviors were examined: any quit attempts in the past 12 months, successful cessation for ≥3 months, and intention-to-quit smoking in the next 6 months. For each cessation behavior, multiple logistic regression models were estimated separately for the full-sample and stratified racial/ethnic subsamples.

Results

While 72.3% of African American recent active smokers typically smoked menthol cigarettes, this proportion was 21.7%, 21.5%, and 28.0% for whites, Asians, and Hispanics, respectively. African American menthol smokers had higher odds of quit attempts compared to non-African American, non-menthol smokers (full-sample analysis), as well as African American non-menthol smokers (subsample analysis). Menthol use was not significantly associated with quit attempts in other racial/ethnic subsamples. There was no significant difference in either successful cessation or intention-to-quit between menthol and non-menthol smokers.

Conclusions

African American menthol smokers were more likely to attempt to quit smoking than non-menthol smokers but these quit attempts did not translate into successful cessation. This study revealed no association of menthol use with quit attempts, successful cessation, and intention-to-quit among other racial/ethnic groups.

Implications

The findings suggested that African American menthol smokers were more motivated to quit smoking; yet, the results also indicated no significant differences in successful cessation between African American menthol and non-menthol smokers. Interventions targeting menthol smokers within the African American community may help bridge this gap. While more local sales restrictions are beginning to occur (eg, Tobacco 21 efforts), additional policies restricting price discounting as well as the regulation of access to and the time, place, and/or manner of menthol tobacco advertising could also improve cessation rates. Further evaluation is needed to determine the viability of these policies.

Racial differences in the relationship between tobacco, alcohol, and the risk of head and neck cancer: pooled analysis of US studies in the INHANCE Consortium

There have been few published studies on differences between Blacks and Whites in the estimated effects of alcohol and tobacco use on the incidence of head and neck cancer (HNC) in the United States. Previous studies have been limited by small numbers of Blacks. Using pooled data from 13 US case-control studies of oral, pharyngeal, and laryngeal cancers in the International Head and Neck Cancer Epidemiology Consortium, this study comprised a large number of Black HNC cases (n = 975). Logistic regression was used to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI) for several tobacco and alcohol consumption characteristics. Blacks were found to have consistently stronger associations than Whites for the majority of tobacco consumption variables. For example, compared to never smokers, Blacks who smoked cigarettes for > 30 years had an OR 4.53 (95% CI 3.22-6.39), which was larger than that observed in Whites (OR 3.01, 95% CI 2.73-3.33; p_interaction < 0.0001). The ORs for alcohol use were also larger among Blacks compared to Whites. Exclusion of oropharyngeal cases attenuated the racial differences in tobacco use associations but not alcohol use associations. These findings suggest modest racial differences exist in the association of HNC risk with tobacco and alcohol consumption.

Genome-wide association study of a nicotine metabolism biomarker in African American smokers: impact of chromosome 19 genetic influences

BACKGROUND AND AIMS

The activity of CYP2A6, the major nicotine-inactivating enzyme, is measurable in smokers using the nicotine metabolite ratio (NMR; 3'hydroxycotinine/cotinine). Due to its role in nicotine clearance, the NMR is associated with smoking behaviours and response to pharmacotherapies. The NMR is highly heritable (~80%), and on average lower in African Americans (AA) versus whites. We previously identified several reduce and loss-of-function CYP2A6 variants common in individuals of African descent. Our current aim was to identify novel genetic influences on the NMR in AA smokers using genome-wide approaches.

DESIGN

Genome-wide association study (GWAS).

SETTING

Multiple sites within Canada and the United States.

PARTICIPANTS

AA smokers from two clinical trials: Pharmacogenetics of Nicotine Addiction Treatment (PNAT)-2 (NCT01314001; n = 504) and Kick-it-at-Swope (KIS)-3 (NCT00666978; n = 450).

MEASUREMENTS

Genome-wide SNP genotyping, the NMR (phenotype) and population substructure and NMR covariates.

FINDINGS

Meta-analysis revealed three independent chromosome 19 signals (rs12459249, rs111645190 and rs185430475) associated with the NMR. The top overall hit, rs12459249 (P = 1.47e-39; beta = 0.59 per C (versus T) allele, SE = 0.045), located ~9.5 kb 3' of CYP2A6, remained genome-wide significant after controlling for the common (~10% in AA) non-functional CYP2A6*17 allele. In contrast, rs111645190 and rs185430475 were not genome-wide significant when controlling for CYP2A6*17. In total, 96 signals associated with the NMR were identified; many were not found in prior NMR GWASs in individuals of European descent. The top hits were also associated with the NMR in a third cohort of AA (KIS2; n = 480). None of the hits were in UGT or OCT2 genes.

CONCLUSIONS

Three independent chromosome 19 signals account for ~20% of the variability in the nicotine metabolite ratio in African American smokers. The hits identified may contribute to inter-ethnic variability in nicotine metabolism, smoking behaviours and tobacco-related disease risk.

Willingness to quit tobacco smoking and its correlates among Indian smokers - Findings from Global Adult Tobacco Survey India, 2009-2010

Background:

In the stages of change model for smoking cessation, “willingness to quit” forms the starting point.

Objective:

To determine the prevalence and correlates of willingness to quit among smokers in India from Global Adult Tobacco Survey (GATS), 2009–2010.

Methods:

Secondary data analysis of GATS, 2009–10, was done to find the correlates of willingness to quit among smokers. All the sociodemographic variables, smoking-related factors such as frequency, previous attempt to quit, and also effect of antitobacco messages delivered to various media were tested for association using multivariable analysis.

Results:

Of 9627 current smokers analyzed, 50.9% [95% confidence interval (CI): 49.9–51.9] were willing to quit smoking. Multivariable analysis showed that younger age groups [prevalence ratio (PR): 1.31, 95% CI: 1.05–1.65], individuals who have their first smoke after 60 min of wakeup (PR: 1.19, 95% CI: 1.05–1.36), those living in a house with smoking restriction (PR: 1.29, 95% CI: 1.17–1.42), those who received advice to quit from doctor, those who attempted to quit in the past 12 months (PR: 1.28, 95% CI: 1.03–1.60), having knowledge about illness caused due to smoking, and those who have noticed antismoking messages in billboards/hoardings were willing to quit smoking compared to their counterparts (PR: 1.13, 95% CI: 1.04–1.23).

Conclusion:

Enforcing social restrictions like smoking restriction at house and also brief advice by doctors to quit smoking during any contact with the tobacco user could improve quit rate especially in young tobacco users and those who have attempted to quit before.

Massachusetts Medicaid members that smoked in 2008: Characteristics associated with smoking status in 2014

The smoking rate among non-elderly Medicaid enrollees is more than double the rate for those privately insured; smoking-related conditions account for 15% of Medicaid expenditures. Under state health reform, Massachusetts Medicaid (MassHealth) made tobacco cessation treatment available beginning in 2006. We used surveys conducted in 2008 and 2014 to examine changes in smoking abstinence rates among MassHealth members identified as smokers and to identify factors associated with being a former smoker. Members previously identified as smokers were surveyed by mail or phone; 2008 and 2014 samples included 3,116 and 2,971 members, respectively. Surveys collected demographic and health information, asked members whether they smoked cigarettes "every day, some days or not at all', and asked questions to assess smoking intensity among current smokers. The 2014 survey included an open ended-question asking members "what helped the most" in quitting or quit attempts. We observed a significant decrease in members reporting smoking "every/some days" of 15.5 percentage points (p < .0001) from 2008 to 2014, and a significant decrease in smokers reporting smoking "more than 10 cigarettes on days smoked" of 16.7 percentage points (p < .0001). Compared to smokers, former smokers more frequently reported health concerns, the influence of family members, and the use of e-cigarettes as helping the most in quitting. Expanded access to tobacco cessation treatment under the Affordable Care Act may have help to reduce the high smoking rates among Medicaid enrollees. Additionally, smokers' concerns about health and the influence of family and friends provide opportunities for targeted intervention and messaging about quitting.

Tobacco Cessation in Economically Disadvantaged Dominican Republic Communities: Who are the Ex-Users?

INTRODUCTION

Tobacco use and harm continue to increase in low- and middle income countries (LMICs) globally. Smoking cessation is the most effective means of reducing morbidity and mortality from tobacco use. Increasing the prevalence of ex-users is an indicator of population cessation.

AIMS

This study provides the first examination of factors associated with ex-tobacco use status in the Dominican Republic (DR), a LMIC in the Latin America and Caribbean region.

METHODS

Baseline surveillance was conducted for 1177 randomly selected households in 7 economically disadvantaged DR communities (total N=2680 adult household members).

RESULTS

Ex-user prevalence was 10.6% (1.0%-18.5% across communities), 14.8% were current users (9.1-20.4), and quit ratios were 41.7% (9.7%-52.7%). Among ever-users, females (OR 2.02, 95% CI 1.41, 2.90), older adults (45-64: OR 1.75, 95% CI 1.12, 2.74; 65+: OR 2.09, 95% CI 1.29, 3.39), and those who could read/write (OR 1.64, 95% CI 1.08, 2.50), had health conditions (OR 1.63, 95% CI 1.11, 2.41), and lived with ex-users (OR 1.70, 95% CI 1.12, 2.58) were over 60% to two times as likely to be ex-users. Those from remote communities (OR 0.52, 95% CI 0.36, 0.74), using chewed tobacco (OR 0.14, 95% CI 0.04, 0.48) and living with tobacco users (OR 0.55, 95% CI 0.37, 0.81) were less likely to be ex-users.

CONCLUSIONS

Ex-user prevalence and quit ratios were lower than for high income countries. Implementing broad tobacco control measures, combined with clinically targeting vulnerable groups, may increase tobacco cessation to most effectively reduce this public health crisis.

Nicotinic acetylcholine receptor availability in cigarette smokers: effect of heavy caffeine or marijuana use

RATIONALE

Upregulation of α4β2* nicotinic acetylcholine receptors (nAChRs) is one of the most well-established effects of chronic cigarette smoking on the brain. Prior research by our group gave a preliminary indication that cigarette smokers with concomitant use of caffeine or marijuana have altered nAChR availability.

OBJECTIVE

We sought to determine if smokers with heavy caffeine or marijuana use have different levels of α4β2* nAChRs than smokers without these drug usages.

METHODS

One hundred and one positron emission tomography (PET) scans, using the radiotracer 2-FA (a ligand for β2*-containing nAChRs), were obtained from four groups of males: non-smokers without heavy caffeine or marijuana use, smokers without heavy caffeine or marijuana use, smokers with heavy caffeine use (mean four coffee cups per day), and smokers with heavy marijuana use (mean 22 days of use per month). Total distribution volume (Vt/fp) was determined for the brainstem, prefrontal cortex, and thalamus, as a measure of nAChR availability.

RESULTS

A significant between-group effect was found, resulting from the heavy caffeine and marijuana groups having the highest Vt/fp values (especially for the brainstem and prefrontal cortex), followed by smokers without such use, followed by non-smokers. Direct between-group comparisons revealed significant differences for Vt/fp values between the smoker groups with and without heavy caffeine or marijuana use.

CONCLUSIONS

Smokers with heavy caffeine or marijuana use have higher α4β2* nAChR availability than smokers without these drug usages. These findings are likely due to increased nicotine exposure but could also be due to an interaction on a cellular/molecular level.

A new diagnosis of asthma or COPD is linked to smoking cessation - the Tromsø study

Background

Patients with COPD have had a lower tendency to quit smoking compared to patients with coronary heart disease (CHD). We wanted to investigate if this is still true in a Norwegian population.

Methods

Our data came from the fifth and sixth Tromsø surveys, which took place in 2001–2002 and 2007–2008. The predictors of smoking cessation were evaluated in a cohort of 4,497 participants who had stated their smoking status in both surveys.

Results

Of the 4,497 subjects in the cohort, 1,150 (25.6%) reported daily smoking in Tromsø 5. In Tromsø 6, 428 had quit (37.2%). A new diagnosis of obstructive lung disease (asthma or COPD) and CHD were both associated with increased quitting rates, 50.6% (P=0.01) and 52.1% (P=0.02), respectively. In multivariable logistic regression analysis with smoking cessation as outcome, the odds ratios (ORs) of a new diagnosis of obstructive lung disease and of CHD were 1.7 (1.1–2.7) and 1.7 (1.0–2.9), respectively. Male sex had an OR of 1.4 (1.1–1.8) compared to women in the multivariable model, whereas the ORs of an educational length of 13–16 years and ≥17 years compared to shorter education were 1.6 (1.1–2.2) and 2.5 (1.5–4.1), respectively.

Conclusion

The general trend of smoking cessation in the population was confirmed. Increased rates of smoking cessation were associated with a new diagnosis of heart or lung disease, and obstructive lung disease was just as strongly linked to smoking cessation as was CHD. This should encourage the pursuit of early diagnosis of COPD.

Sleep Health and Appropriate Use of OTC Sleep Aids in Older Adults-Recommendations of a Gerontological Society of America Workgroup

Getting a good night's sleep can be challenging for older adults with chronic medical conditions, which often interfere with sleep. As a result, many older adults turn to over-the-counter (OTC) sleep aids, that is, products with diphenhydramine or doxylamine. However, these products are indicated only for occasional difficulty with sleep, not for chronic use; and their safety and efficacy has not been well established in general and in older adults specifically. To engage national stakeholders in a discussion of OTC sleep aids in older adults, the Gerontological Society of America (GSA) convened a multidisciplinary workgroup. The Workgroup examined differences between younger and older adults in sleep health and use of OTC sleep aids using data from the National Health and Wellness Survey; assessed the pharmacologic properties and medication effects of OTC sleep aids; and worked with stakeholders to promote strategies for safe and effective use. Older adults are more likely to take diphenhydramine or doxylamine products 15 or more days in a month, an indicator of inappropriate use. The Workgroup recommends research to investigate the ways older people use OTC sleep aids. The goal should be reduction in inappropriate use and associated risks, such as daytime sedation, compromised cognitive function, and falls. In addition, the Workgroup recommends a greater role for community pharmacists in counseling older adults on appropriate use of OTC sleep aids.

Factors associated with tobacco smoking and cessation among HIV-infected individuals under care in Rio de Janeiro, Brazil

Worldwide the prevalence of smoking among people living with HIV/AIDS is elevated compared to the general population. This probably reflects the cluster of individual characteristics that have shared risk factors for HIV infection and smoking. A cross-sectional study, enrolling a convenience sample from a Brazilian HIV clinical cohort was conducted to evaluate the prevalence of tobacco smoking and the factors associated with current smoking and abstinence. A total of 2,775 HIV-infected individuals were interviewed: 46.2% have never smoked, 29.9% were current smokers and 23.9% were former smokers. Current smokers had a higher prevalence of alcohol and illicit drug use when compared to the other two groups. A higher proportion of heterosexual individuals were former smokers or never smokers while among men who have sex with men (MSM) a higher proportion were current smokers. Former smokers had been more frequently diagnosed with high blood pressure, diabetes mellitus, cardiovascular diseases and depression, while for current smokers lung diseases were more frequent. Former smokers and current smokers were more likely to have had any hospital admission (42.0% and 41.2%, respectively) than participants who never smoked (33.5%) (p<0.001). Multivariate model results showed that current smokers (versus never smokers) were more likely to be less educated, to report the use of alcohol, crack and cocaine and to present clinical comorbidities. Former smokers (versus current smokers) were more likely to be older, to have smoked for a shorter amount of time and to have smoked >31 cigarettes/day. MSM (compared to heterosexuals) and cocaine users (versus non-users) had lower odds of being former smokers. Considering our results, smoking cessation interventions should be tailored to younger individuals, MSM and substance users.