The effects of alcohol use on smoking cessation treatment with nicotine replacement therapy: An observational study.

INTRODUCTION: Concurrent users of tobacco and alcohol are at greater risk of harm than use of either substance alone. It remains unclear how concurrent tobacco and alcohol use affects smoking cessation across levels of alcohol use and related problems. This study assessed the relationship between smoking cessation and levels of alcohol use problems. METHODS: 59,018 participants received nicotine replacement therapy through a smoking cessation program. Alcohol use and related symptoms were assessed using the Alcohol Use Disorders Identification Test (AUDIT-10) and the AUDIT-Concise (AUDIT-C). The primary outcome was 7-day point prevalence cigarette abstinence (PPA) at 6-month follow-up. We evaluated the association between alcohol use (and related problems) and smoking cessation using descriptive methods and mixed-effects logistic regression. RESULTS: 7-day PPA at 6-months was lower in groups meeting hazardous alcohol consumption criteria, with the lowest probability of smoking abstinence observed in the highest risk group. The probability of successful tobacco cessation fell with increasing levels of alcohol use and related problems. Adjusted predicted probabilities were 30.3 (95 % CI = 29.4, 31.1) for non-users, 30.2 (95 % CI = 29.4, 31.0) for low-risk users, 29.0 (95 % CI = 28.1, 29.9) for those scoring below 8 on the AUDIT-10, 27.3 (95 % CI = 26.0, 28.6) for those scoring 8-14, and 24.4 (95 % CI = 22.3, 26.5) for those scoring 15 or higher. CONCLUSION: Heavy, hazardous alcohol use is associated with lower odds of successfully quitting smoking compared to low or non-use of alcohol. Targeting alcohol treatment to this group may improve tobacco cessation outcomes.

Investigating disparities in smoking cessation treatment for veterans with multiple sclerosis: A national analysis.

BACKGROUND AND AIMS: Smoking is a risk factor for multiple sclerosis (MS) development, symptom burden, decreased medication efficacy, and increased disease-related mortality. Veterans with MS (VwMS) smoke at critically high rates; however, treatment rates and possible disparities are unknown. To promote equitable treatment, we aim to investigate smoking cessation prescription practices for VwMS across social determinant factors. METHODS: We extracted data from the national Veterans Health Administration electronic health records between October 1, 2017, and September 30, 2018. To derive marginal estimates of the association of MS with receipt of smoking-cessation pharmacotherapy, we used propensity score matching through the extreme gradient boosting machine learning model. VwMS who smoke were matched with veterans without MS who smoke on factors including age, race, depression, and healthcare visits. To assess the marginal association of MS with different cessation treatments, we used logistic regression and conducted stratified analyses by sex, race, and ethnicity. RESULTS: The matched sample achieved a good balance across most covariates, compared to the pre-match sample. VwMS (n = 3320) had decreased odds of receiving prescriptions for nicotine patches ([Odds Ratio]OR = 0.86, p < .01), non-patch nicotine replacement therapy (NRT; OR = 0.81, p < .001), and standard practice dual NRT (OR = 0.77, p < .01), compared to matches without MS (n = 13,280). Men with MS had lower odds of receiving prescriptions for nicotine patches (OR = 0.88, p = .05), non-patch NRT (OR = 0.77, p < .001), and dual NRT (OR = 0.72, p < .001). Similarly, Black VwMS had lower odds of receiving prescriptions for patches (OR = 0.62, p < .001), non-patch NRT (OR = 0.75, p < .05), and dual NRT (OR = 0.52, p < .01). The odds of receiving prescriptions for bupropion or varenicline did not differ between VwMS and matches without MS. CONCLUSION: VwMS received significantly less smoking cessation treatment, compared to matched controls without MS, showing a critical gap in health services as VwMS are not receiving dual NRT as the standard of care. Prescription rates were especially lower for male and Black VwMS, suggesting that under-represented demographic groups outside of the white female category, most often considered as the "traditional MS" group, could be under-treated regarding smoking cessation support. This foundational work will help inform future work to promote equitable treatment and implementation of cessation interventions for people living with MS.

Diet quality as assessed by the healthy eating index-2020 among different smoking status: an analysis of national health and nutrition examination survey (NHANES) data from 2005 to 2018.

BACKGROUND: Combining smoking with poor eating habits significantly elevates the risk of chronic illnesses and early death. Understanding of how dietary quality shifts post-smoking cessation remains limited. The objective of this study is to examine dietary quality - using Healthy Eating Index (HEI - 2020) and its 13 components, among current, former, and never smokers, and particularly the impact of quitting and the duration of cessation on dietary habits. METHODS: A cross-sectional analysis of 31,569 adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was conducted. Dietary quality was assessed using HEI-2020 scores, which were determined by NIH developed - simple HEI scoring algorithm per person. Smoking status was categorized into current, former, and never smokers, with further subdivisions for current (heavy/light smokers) and former smokers (duration post-cessation). Descriptive analysis and multiple regression models weighted to represent the US population were performed. RESULTS: The current smoking rate was 19.4%, with a higher prevalence in males (22.5%) than females (17.5%). Current smokers reported statistically significantly lower HEI total score than both former and never smokers. Former smokers exhibited HEI scores similar to those of never smokers. The adjusted HEI total scores for current, former, and never smokers were 49.2, 54.0, and 53.3, respectively, with a statistically significant difference (p < 0.001). Moreover, light smokers had better total HEI score than heavy smokers (46.8 vs. 50.8, p < 0.001, respectively), but former and never smokers scored even higher. Quitting smoking immediately improved dietary quality, with former smokers reaching the dietary levels of never smokers within 5-10 years (53.8 vs. 53.3, p > 0.05, respectively). Compared to current smokers, former smokers tended to consume more beneficial foods (e.g., fruits, vegetables, greens and beans, whole grains, proteins, and fatty acids), while also consuming more sodium and less added sugar. CONCLUSIONS: Current smokers, particularly heavy smokers, exhibit poorer dietary habits than former and never smokers. The dietary quality of former smokers aligns with never smokers over time, highlighting the positive impact of smoking cessation on diet. This has implications for reducing chronic disease risks associated with poor diet and smoking.

Cigarette Smoking Among Pregnant Women During the Perinatal Period: Prevalence and Health Care Provider Inquiries - Pregnancy Risk Assessment Monitoring System, United States, 2021.

Cigarette smoking during pregnancy increases the risk for pregnancy complications and adverse infant outcomes such as preterm delivery, restricted fetal growth, and infant death. Health care provider counseling can support smoking cessation. Data from the 2021 Pregnancy Risk Assessment Monitoring System were analyzed to estimate the prevalence of smoking before, during, and after pregnancy; quitting smoking during pregnancy; and whether health care providers asked about cigarette smoking before, during, and after pregnancy among women with a recent live birth. In 2021, the prevalence of cigarette smoking was 12.1% before pregnancy, 5.4% during pregnancy, and 7.2% during the postpartum period; 56.1% of women who smoked before pregnancy quit smoking while pregnant. Jurisdiction-specific prevalences of smoking ranged from 3.5% to 20.2% before pregnancy, 0.4% to 11.0% during pregnancy, and 1.0% to 15.1% during the postpartum period. Among women with a health care visit during the associated period, the percentage of women who reported that a health care provider asked about smoking was 73.7% at any health care visit before pregnancy, 93.7% at any prenatal care visit, and 57.3% at a postpartum checkup. Routine assessment of smoking behaviors among pregnant and postpartum women can guide the development and implementation of evidence-based tobacco control measures at the jurisdiction and health care-system level to reduce smoking among pregnant and postpartum women.

Three in four smokers want to quit tobacco (reference to reassessing the smoking target in Japan): findings from the JASTIS2021 study.

BACKGROUND: To enhance tobacco control in Japan, the government set a future smoking rate target (smoking prevalence = 12% by 2022) arguing that the "smoking rate target is expected if only smokers who want to quit smoking now, actually quit". However, ideally both those wanting to quit now and those who wanted to in the past will succeed in the future. We aimed to re-define smokers who intend to quit and estimate their number. We also examined determinants of intention to quit, including daily tobacco consumption and tobacco use categories (exclusive combustible cigarette users, exclusive heated tobacco product (HTP) users, and dual (combustible cigarette and HTP)) users. METHODS: Using data from the 2021 Japan 'Society and New Tobacco' Internet Survey, we analyzed 5,072 current smokers (had used combustible cigarettes or HTPs in the past 30 days) aged 20-80 years. Smokers who intend to quit were defined as total smokers who want to quit now, have previously attempted or previously wanted to quit. Log-Poisson regression models were used to calculate adjusted odds ratios (aORs) with 95% confidence intervals (95%CI) for intention to quit (current or current/past), adjusting for potential covariates such as tobacco use categories. RESULTS: Among current smokers, 40.6% want to quit now, 27.0% have previously attempted and 9.0% have previously wanted to quit. Smokers of over 20 tobacco sticks/day are less likely to want to quit now than 1-10 /day (aOR = 0.79, 95%CI = 0.71-0.87) and less likely to intend to quit (both current and past) (aOR = 0.93, 95%CI = 0.88-0.98). Exclusive HTP and dual users were more likely to intend to quit (both current and past) than exclusive combustible cigarette users (aOR = 1.09, 95%CI = 1.04-1.14) and (aOR = 1.07, 95%CI = 1.03-1.12). CONCLUSIONS: In total, 76.6% of current smokers, were defined as having intention to quit (both current and past). Applying this percentage to the target calculation, Japan's smoking rate target would be 3.9%, considerably lower than the current target of 12%. The Japanese government may have to revise the smoking rate target. Additionally, we found that the usage of HTPs reduces intention to quit smoking. These insights have implications for setting of smoking rate targets and regulating HTPs in different countries.

Assisting young people aged 12-25 years to cease e-cigarette use in general practice.

BACKGROUND: Increasing numbers of young people (adolescents aged 12-17 years and young adults aged 18-25 years) are using e-cigarettes. Although the extent of the health effects is currently unknown, young people are at risk of developing nicotine dependence and, as a result, find it difficult to cease use of e-cigarettes. They might seek help from their general practitioner (GP) to do so. OBJECTIVE: This article summarises the available evidence for e-cigarette cessation in young people and suggests a rational approach to assist GPs seeing young people seeking help for e-cigarette cessation. DISCUSSION: There is limited evidence to support best treatment options for e-cigarette cessation in young people. An approach based on the experience from tobacco cessation in adults and adapted for young people might assist. Management that supports family and school engagement, with behavioural interventions, nicotine replacement therapy, other pharmacological interventions and ongoing review as appropriate for the young person's age and developmental milestones, might help successful e-cigarette cessation.

Which countries are ready for a tobacco endgame? A scoping review and cluster analysis.

Various countries have set tobacco endgame targets to eliminate tobacco use by a certain year. Tobacco endgames are generally considered more feasible in countries with advanced tobacco control measures and a smoking prevalence of 15% or less. We conducted a scoping review of 563 articles sourced from news, academic literature, and grey literature to examine global tobacco endgame progress, and grouped 153 countries into clusters based on their tobacco policy implementation score and smoking prevalence to systematically identify countries that might be well positioned to succeed in a tobacco endgame. The EU, Pacific Islands, and 18 other individual countries have set tobacco endgame targets, with another seven countries described as well positioned for an endgame. These were mostly high-income countries with higher smoking prevalence. We identified 28 endgame-ready countries with advanced tobacco policies and a low smoking prevalence. Of these, only five were part of tobacco endgame movements; the remaining 23 were all low-income or middle-income countries in Africa, Latin America, or Asia. Therefore, the global tobacco endgame movement should focus more on low-income and middle-income countries with low smoking rates and advanced tobacco policies, particularly in Africa, Latin America, and Asia.

Tobacco policies and changes in the tendency of smoking cessation in cigarette users in Chile: a longitudinal cross-sectional study.

OBJECTIVE: To assess the impact of tobacco control regulations and policy implementation on smoking cessation tendencies in cigarette users born between 1982 and 1991 in Chile. DESIGN: Longitudinal cross-sectional study. SETTING: National level. PARTICIPANTS: Data from the National Survey of Drug Consumption (Service of Prevention and Rehabilitation for Drug and Alcohol Consumption). A pseudo-cohort of smokers born between 1982 and 1991 (N=17 905) was tracked from 2002 to 2016. PRIMARY AND SECONDARY OUTCOMES MEASURES: Primary outcome was the tendency to cease smoking conceptualised as the report of using cigarettes 1 month or more ago relative to using cigarettes in the last 30 days. The main exposure variable was the Tobacco Policy Index-tracking tobacco policy changes over time. Logistic regression, controlling for various factors, was applied. RESULTS: Models suggested a 14% increase in the smoking cessation tendency of individuals using cigarettes 1 month or more ago relative to those using cigarettes in the last 30 days (OR 1.14, CI 95% CI 1.10 to 1.19) for each point increment in the Tobacco Policy index. CONCLUSIONS: Our study contributes to documenting a positive impact of the implementation of interventions considered in the MPOWER strategy in the progression of smoking cessation tendencies in smokers born between 1982 and 1991 in Chile.

Reducing tobacco use in substance use treatment: The California tobacco free initiative.

BACKGROUND: People in substance use disorder (SUD) treatment have a smoking prevalence that is five times higher than the national average. California funded the Tobacco Free for Recovery Initiative, designed to support programs in implementing tobacco-free grounds and increasing smoking cessation services. In the first cohort of the initiative (2018-2020) client smoking prevalence decreased from 54.2% to 26.6%. The current study examined whether similar findings would be replicated with a later cohort of programs (2020-2022). METHOD: Cross-sectional survey data were collected from clients in 11 residential SUD treatment programs at baseline (n = 185) and at post intervention (n = 227). Multivariate logistic regression assessed change over time in smoking prevalence, tobacco use behaviors, and receipt of cessation services across the two timepoints. RESULTS: Client smoking prevalence decreased from 60.3 % to 40.5 % (Adjusted Odds Ratio [AOR] = 0.46, 95 % CI = 0.27, 0.78; p = 0.004). Current smokers and those who quit while in treatment reported an increase in nicotine replacement therapy (NRT)/pharmacotherapy from baseline to post intervention (31.9 % vs 45.6 %; AOR = 2.22, 95 % CI = 1.08, 4.58; p = 0.031). CONCLUSIONS: Like the first cohort, the Tobacco Free for Recovery initiative was associated with decreased client smoking prevalence and an increase in NRT/pharmacotherapy. These findings strengthen the evidence that similar initiatives may be effective in reducing smoking prevalence among people in SUD treatment.

Prevalence, Reach of Anti-smokeless Tobacco Messages and Quit Attempts by Product Type: A Secondary Data Analysis from the Global Adult Tobacco Survey (GATS - 2016-17).

OBJECTIVE: India has the highest number of smokeless tobacco (SLT) products available in different forms, consumed in various ways. The current study aimed to understand the pattern of daily SLT use according to different product categories and whether Quit intention and Quit attempts vary by SLT type and exposure to media messages. METHODS: Data from Global Adult Tobacco Surveys (GATS), 2016-17, was used to find access to media messages and warning labels by SLT type. Quit attempt and Quit intention were calculated for each of the SLT types. Logistic regression analyses were employed to identify whether access to media messages, warning labels influenced, quit intention and attempts vary by SLT type. RESULTS: Khaini or tobacco lime mixture was the most common SLT type consumed by 37% of SLT users, whereas SLT users consuming more than one product accounted for 23% of SLT users. Exposure to media messages and warning labels was high among Gutkha/ paan masala tobacco users (74.7% and 81.2%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (56.1% and 60.0%). Quit attempts and quit intention were high among Gutkha/ paan masala tobacco users (38.3% and 22.3%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (25.3% and 13.6%). Users of Oral tobacco and khaini or tobacco-lime mixture were significantly less likely to attempt quitting (AOR 0.806(95%CI: 0.676-0.962), 0.839(95%CI: 0.736-0.956), and have quit intention (AOR 0.681(95%CI: 0.702-0.976), 0.733(95%CI: 0.627-0.857) compared to Gutkha/ paan masala with tobacco users. CONCLUSION: The reach of media messages and warning labels varies by SLT type. Quit intention and attempts vary by SLT type and access to media messages and warning labels. There is a need to re-strategise the tobacco control Information, Education and Communication (IEC) to reach out with effective messaging to the most unreached.

[A study on the dual use of e-cigarettes and cigarettes among adolescents in Shandong Province].

Objective: To understand the current status and its associated factors of dual use of e-cigarettes and cigarettes among adolescents in Shandong Province and explore the reasons for dual use behavior. Methods: A self-administered survey was conducted among 7 999 middle school students who were selected by stratified multi-stage cluster sample method. Data were weighted and analyzed by the SPSS 25.0 complex program. Results: In Shandong Province, the prevalence rates of attempting and current dual use of e-cigarettes and cigarettes among adolescents appeared as 7.7% and 1.3%, respectively. Male, friends smoking, and secondhand smoke exposure in the past 7 days were risk factors for dual use. Compared with cigarette smokers, dual users have no differences in cognition and behavior in quitting smoking (P>0.05). The main reason for dual users to smoke e-cigarettes was curiosity. Conclusions: Dual use of e-cigarettes and cigarettes is common among adolescents in Shandong Province, and its influencing factors are similar to traditional cigarettes. Dual use is not a transitional stage for smoking cessation. Dual users are more likely to continue smoking in the future, which should be paid attention and concern.

Association between maternal cigarette smoking cessation and risk of preterm birth in Western New York.

BACKGROUND: Although many studies suggested the benefit of smoking cessation among pregnant women in reducing the risk of preterm birth (PTB), the timing of the effect of the cessation remains inconclusive. OBJECTIVES: To examine the association of trimester-specific smoking cessation behaviours with PTB risk. METHODS: We included 199,453 live births in Western New York between 2004 and 2018. Based on self-reported cigarette smoking during preconception and in each trimester, we created six mutually exclusive groups: non-smokers, quitters in each trimester, those who smoked throughout pregnancy, and inconsistent smokers. Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated using Poisson regression to examine the association between smoking cessation and PTB. Effect modification by illegal drug use, maternal age, race and ethnicity and pre-pregnancy body mass index (BMI) was investigated multiplicatively by ratio of relative risk and additively by relative excess risk due to interaction (RERI). RESULTS: Overall, 6.7% of women had a PTB; 14.1% smoked throughout pregnancy and 3.4%, 1.8% and 0.8% reported quitting smoking during the first, second and third trimesters, respectively. Compared to non-smokers, third-trimester cessation (RR 1.20, 95% CI 1.01, 1.43) and smoking throughout pregnancy (RR 1.27, 95% CI 1.21, 1.33) were associated with a higher PTB risk, while quitting smoking during the first or second trimester, or inconsistent smoking was not associated with PTB. A positive additive interaction was identified for maternal age and late smoking cessation or smoking throughout pregnancy on PTB risk (RERI 0.17, 95% CI 0.00, 0.36), and a negative interaction was observed for pre-pregnancy BMI ≥30 kg/m2 (ratio of relative risk 0.70, 95% CI 0.63, 0.78; RERI -0.42, 95% CI -0.56, -0.30). CONCLUSION: Compared to non-smokers, smoking throughout pregnancy and third-trimester smoking cessation are associated with an increased risk of PTB, while quitting before the third trimester may not increase PTB risk.

Relationship between long working hours and smoking behaviors: Evidence from population-based cohort studies in Korea.

OBJECTIVES: Long working hours and overwork are growing public health concerns in the Western-Pacific region. We explored the relationship between working hours and smoking behaviors of Korean workers. METHODS: This study included 284 782 observations (50 508 workers) from four nationwide cohort studies in Korea. Using generalized estimating equations, we estimated the associations of working hours with current smoking status, smoking initiation, and smoking cessation within each cohort. Cohort-specific estimates were combined through random-effect meta-analysis. Effect sizes were presented as odds ratios (OR) and 95 confidence intervals (CI). RESULTS: The overall smoking prevalence was 26.8% within the cohorts. The adjusted OR (95% CI) of the association between working hours and current smoking were 1.01 (0.94-1.08) for <35 hours/week, 1.04 (1.01-1.09) for 41-48 hours/week, 1.06 (1.01-1.10) for 49-54 hours/week, and 1.07 (1.04-1.10) for ≥55 hours/week compared with 35-40 hours/week. The adjusted OR (95% CI) of the association between working hours and smoking cessation in the follow-up were 0.93 (0.85-1.02) for <35 hours/week, 0.89 (0.83-0.96) for 41-48 hours/week, 0.87 (0.81-0.95) for 48-54 hours/week, and 0.91 (0.85-0.98) for ≥55 hours/week compared with 35-40 hours/week. No clear associations were observed between working hours and smoking initiation. CONCLUSION: Long working hours are associated with high current smoking risk and reduced likelihood of smoking cessation among Korean workers. Policy interventions are required to promote smoking cessation and reduce excess overwork for individuals experiencing long working hours.

Development of a Risk Score to Predict Short-term Smoking Relapse Following an Inpatient Smoking Cessation Intervention.

This study aimed to investigate the factors affecting smoking relapse and to develop predictive models among Korean national 5-day smoking cessation program participants. The subjects were 518 smokers and follow-up was continued for 6 months after discharge. A predictive logistic model and risk score were developed from the multivariate logistic models and compared using the area under the receiver operating characteristic curve (area under the curve [AUC]). The smoking relapse rate within 6 months after program participation was 38.4%. The AUCs of the logistic regression model and risk score model were similar (odds ratio [OR] = 0.69; 0.69, respectively) in the development data set, and those of the risk score model were similar between the development and validation data sets (OR = 0.68). The risk score used by the six risk factors could predict smoking relapse among participants who attended a 5-day inpatient smoking cessation program.

Smoking Cessation by Cancer Treatment Status Among Cervical Cancer Survivors.

INTRODUCTION: Continued smoking following a cancer diagnosis is associated with poorer cancer treatment outcomes and survival times. Little is known about how cancer treatment status at the time of tobacco treatment enrollment impacts long-term smoking cessation outcomes. Using data from a smoking cessation RCT, this study compared long-term cessation outcomes of women undergoing active treatment for cervical cancer at trial enrollment (n=40) to outcomes of women with a history of cervical cancer or cervical intraepithelial neoplasia (CIN) who were not undergoing active cancer treatment at enrollment (n=154). METHODS: Participants (n=194) were randomized to Standard Treatment (ST) or ST plus a 6-session Motivation And Problem Solving (MAPS) telephone counseling protocol (data collected: 2017-2021; analyzed: 2023). Sociodemographic differences between participants undergoing (versus not undergoing) active cancer treatment at enrollment were examined. Significant covariates were included in a logistic regression analysis comparing the 2 groups' smoking cessation outcomes at 12 months, the end of the tobacco treatment period. RESULTS: Participants in active cancer treatment at enrollment were significantly younger and less educated than those not in active cancer treatment. Race/ethnicity, relationship status, household income, nicotine dependence, and tobacco treatment condition did not vary by cancer treatment status. After adjusting for tobacco treatment condition, age, and education, being in active cancer treatment at the time of enrollment was associated with lower odds of abstinence at 12 months (5% vs 20%, aOR=0.22, 95% CI [0.05-0.998]). CONCLUSIONS: Further research is necessary to identify and overcome barriers to abstinence among cancer survivors undergoing active treatment.

The association between excise taxes and smoking and vaping transitions-Findings from the 2016-2020 ITC United States surveys.

BACKGROUND: While a growing number of studies examined the effect of e-cigarette (EC) excise taxes on tobacco use behaviors using cross-sectional surveys or sales data, there are currently no studies that evaluate the impact of EC taxes on smoking and vaping transitions. METHODS: Using data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping Survey (ITC 4CV), we employed a multinomial logit model with two-way fixed effects to simultaneously estimate the impacts of cigarette/EC taxes on the change in smoking and vaping frequencies. RESULTS: Our benchmark model suggests that a 10 % increase in cigarette taxes led to an 11 % reduction in smoking frequencies (p < 0.01), while EC taxes did not have a significant effect on smoking frequencies. CONCLUSION: Our findings suggest that increasing cigarette taxes may serve as an effective means of encouraging people who smoke to cut back on smoking or quit smoking. The impact of increasing EC taxes on smoking transitions is less certain at this time.

Changes in biomarkers of exposure and withdrawal symptom among Chinese adult smokers after completely or partially switching from combustible cigarettes to an electronic nicotine delivery system.

This study assessed changes in biomarkers of exposure (BoE) after 5 days of completely or partially switching to an electronic nicotine delivery system (ENDS) use, compared with continued use of combustible cigarettes and smoking abstinence among Chinese adult smokers. A randomized, open-label, parallel-arm study was conducted among Chinese adult smokers who were naive ENDS users. Forty-six subjects were randomized to 4 study groups (n = 11-12 per group): exclusive ENDS use, dual use of ENDS and cigarettes, exclusive cigarettes use, and smoking abstinence. Subjects were confined in clinic for 5 consecutive days and product use was ad libitum. Nicotine and its metabolites (cotinine and 3-hydroxycotinine), and BoEs (AAMA, CEMA, HEMA, HMPMA, 3-HPMA, SPMA, exhaled CO, and exhaled NO) were measured. Withdrawal symptom was measured using MNWS throughout the 5-day period. Six urine BoEs of volatile organic compounds decreased by 55.1-84.1% in the exclusive ENDS use group, which is similar to the smoking abstinence group (67.2-87.4%). The level of decrease was 56.8-70.4% in the dual use group and 10.7-39.0% in the cigarettes group. Urine total nicotine exposure had a non-significant increase in the exclusive ENDS use group, and plasma nicotine and cotinine showed a trend of increasing day by day. After completely or partially switching to ENDS use among Chinese smokers, exposure to selected toxicants were significantly decreased. The results of this study add to the body of evidence that exposure to toxic substance decreased among smokers after complete or partial switch from combustible cigarettes to ENDS use. As part of transition to experienced ENDS use, this study found that smokers of the initial stage who have no prior ENDS experience may increase nicotine intake after switching to ENDS use.

Epidemiology of tobacco use in dialysis patients in France and survey of nephrologists' involvement in counseling on tobacco discontinuation.

BACKGROUND: Tobacco smoking is an independent risk factor for chronic kidney disease (CKD) and increases morbidity and mortality in CKD patients. The primary objective of the study was to investigate the epidemiology of smoking in patients undergoing maintenance dialysis in France. A second objective was to assess the involvement of nephrologists in supporting patients for smoking cessation. METHODS: Data on the smoking history of prevalent patients on maintenance dialysis in France between 2010 and 2020 were obtained from the REIN database (Renal Epidemiology and Information Network), updated by all French nephrology and dialysis centers. As for the support to smoking discontinuation, a questionnaire on smoking cessation assistance was sent to all members of the French Society of Nephrology, Dialysis and Transplantation (SFNDT). RESULTS: The proportion of current smokers among patients on maintenance dialysis was 10.4% in 2010, 11.2% in 2015 and 11.6% in 2020. A total of 228 nephrologists among the 790 members of the SFNDT participated in the survey (28.9%). Most respondents were women (57.3%), worked at a public hospital (61.1%), were under 40 years of age (51.3%) and had no history of smoking (60.8%). The majority reported asking patients about their smoking status and offering brief advice. Among respondents, 72.8% offered help with smoking cessation, 46.3% referred their smoking patients to a tobacco specialist, 51.8% reported prescribing drugs to quit tobacco, and 81.6% requested further training in how to support patients for smoking cessation. CONCLUSION: Smoking cessation training for nephrologists and dedicated programs for patients in nephrology units could improve our practices and decrease the high prevalence of smoking in patients with ESKD.

Weight changes after smoking cessation affect the risk of vertebral fractures: a nationwide population-based cohort study.

BACKGROUND CONTEXT: Smoking cessation reduces the risk of vertebral and hip fractures but usually increases body weight. Since underweight is known as a risk factor for vertebral fractures, smoking cessation is considered to have a protective effect on vertebral fractures. However, the actual effect of weight change after smoking cessation on the risk of vertebral fractures remains uncertain. PURPPOSE: This study aimed to assess the risk of vertebral fractures among individuals who reported smoking cessation with a specific focus on changes in body weight. STUDY DESIGN: Retrospective cohort study based on nationwide health insurance database. PATIENT SAMPLE: Participants were from nationwide biennial health checkups between 2007 and 2009 conducted by the Korean National Health Insurance Service. Participants were followed up from 2010 to 2018 to find incidence of newly developed vertebral fractures. OUTCOME MEASURES: The incidence rate was defined as the incidence rate (IR) per 1,000 person-years (PY). Cox proportional regression analysis was used to analyze the risk of vertebral fracture to determine the hazard ratio (HR) associated with the incidence of vertebral fractures based on smoking status and weight changes. METHODS: Based on their self-reported questionnaires, the participants were classified into three groups: current smokers, quitters, and nonsmokers. The quitter was defined as an individual who were smokers in 2007 and ceased smoking in 2009. Individuals with smoking cessation were categorized according to the weight change between baseline and 2 years prior: weight maintenance (-5∼5 % of weight change), weight loss (<-5 % of weight change), and weight gain (>5 % of weight change). We used Cox proportional hazards analysis to determine the hazard ratio (HR) associated with the incidence of vertebral fractures based on smoking status and temporal weight change over 2 years. RESULTS: This study evaluated 913,805 eligible participants, of whom 672,858 were classified as nonsmokers, 34,143 as quitters, and 206,804 as current smokers. Among quitters, 2,372 (6.9%) individuals had weight loss, and 7,816 (22.9%) had weight gain over 2 years. About 23,952 (70.2%) individuals maintained their weight over 2 years. The overall risk of vertebral fractures was significantly higher in quitters (adjusted HR [aHR]=1.110, 95% confidence interval [CI] 1.013-1-216) than in nonsmokers, but it was lower than in current smokers (aHR=1.197, 95%CI 1.143-1.253), regardless of weight change after smoking cessation. However, individuals who experienced weight loss after smoking cessation exhibited a notably higher risk of vertebral fractures than current smokers (aHR=1.321, 95%CI 1.004-1.461). In the female population, weight gain after smoking cessation was associated with a higher risk of vertebral fractures (aHR = 1.470, 95%CI 1.002-2.587) than in current female smokers. CONCLUSIONS: Maintaining weight after smoking cessation may mitigate the risk of vertebral fractures. Weight loss after smoking cessation adversely affects the protective effects of smoking cessation on vertebral fractures in the general population.

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking.

INTRODUCTION: Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas. METHODS: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023. RESULTS: Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence. CONCLUSIONS: Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.