Sex-related inequalities in current cigarette smoking among adolescents in Africa.

INTRODUCTION: Risky behaviours, including tobacco use, are highly prevalent among adolescents worldwide. Although these behaviours are largely influenced by various sociodemographic factors, including sex, there is a paucity of regionally representative literature on the sex-related inequalities in cigarette smoking among adolescents in Africa. This study examined the sex-based disparities in current cigarette smoking among adolescents aged 13-15 years in Africa. METHODS: The present study employed a secondary analysis of nationally representative data on 45 African countries obtained from the Global Youth Tobacco Survey, accessible through the World Health Organization (WHO) Global Health Observatory. We used the online version of the WHO Health Equity Assessment Toolkit (HEAT) to generate the results. RESULTS: The prevalence of current cigarette smoking among the adolescents surveyed ranged from 1.6% in Eritrea to 10.4% in Mali among the low-income countries, from 1.3% in Tanzania to 13.1% in Mauritania among the lower-middle-income countries, from 5.2% in Gabon to 15.3% in Mauritius among the upper-middle-income countries, and 14.7% in Seychelles, the only high-income country in the study. The absolute summary measure (D) showed diverse sex-related disparities in the burden of current cigarette smoking among adolescents across the sub-regions. In all countries surveyed, the prevalence of cigarette smoking was higher among male adolescents compared to females, except in Liberia and Mozambique, where female adolescents bore a more significant burden than their male counterparts. Furthermore, male adolescents were more burdened with high cigarette smoking prevalence than females in low-income countries such as Mali, Madagascar, Guinea, Burkina Faso, and The Gambia, where such disparities were most pronounced. Meanwhile, we found less disparity in the burden of cigarette smoking between male and female adolescents in most of the lower and upper-middle-income countries surveyed. CONCLUSION: This study sheds light on the sex-based inequalities in the prevalence of current cigarette smoking among adolescents in Africa. In contrast to female adolescents, male adolescents bear a greater burden of current cigarette smoking. The burden of cigarette smoking is most pronounced in low-income countries such as Mali, Madagascar, Guinea, Burkina Faso, and The Gambia. Conversely, in most of the lower and upper-middle-income countries surveyed, the burdens of current cigarette smoking among male and female adolescents were found to be less disparate. Consequently, cigarette smoking prevention programmes and strategies must be implemented in all African nations. There is also the need to intensify interventions aimed at altering the smoking behaviour of male adolescents. Policymakers can develop and implement evidence-based interventions to address the burden of cigarette smoking among the adolescents. Finally, existing policies and programmes addressing adolescents' cigarette smoking should be re-assessed and strengthened to achieve their objectives.

Association between serum cotinine and muscle mass: results from NHANES 2011-2018.

PURPOSE: Recently, the detrimental effect of cigarette smoking on muscle metabolism has attracted much attention, but the relationship between cigarette smoking and muscle mass is poorly understood. Thus, this study investigated the association between exposure to cigarette smoke, defined based on serum cotinine, and muscle mass in the US population. METHODS: We utilized National Health and Nutrition Examination Survey (NHANES) data between 2011 and 2018 for analysis. Data on serum cotinine, muscle mass (quantified by appendicular skeletal muscle mass index, ASMI), and covariates were extracted and analyzed. Weighted multivariate linear regression analyses and smooth curve fittings were performed to investigate the association between serum cotinine and ASMI. Subgroup analyses were stratified by gender, race and smoking status. When nonlinearity was detected, the threshold effects were analyzed using a two-piecewise linear regression model. RESULTS: In total, 8004 participants were included for analysis. The serum level of cotinine was negatively associated with ASMI in the fully adjusted model. Furthermore, comparing participants in the highest vs. the lowest tertile of serum cotinine, we found that ASMI decreased by 0.135 Kg/m2. In subgroup analysis stratified by gender and race, the association between serum cotinine and ASMI remained significant in all genders and races. In addition, the association remained significant among current and former smokers, but not among those who never smoked. Smooth curve fittings showed nonlinear relationships between serum cotinine and ASMI, with the inflection points identified at 356 ng/mL. CONCLUSIONS: Our study revealed that serum cotinine was negatively related to muscle mass. This finding improves our understanding of the deleterious effects of cigarette smoking on muscle mass and highlights the importance of smoking cessation for muscle health.

Prevalence and associated factors of cigarette smoking and substance use among university entrance test-taking students: A GIS-based study.

BACKGROUND: Numerous studies have examined substance use and smoking behavior among adolescents and university students. However, little is known about these behaviors among students undergoing university entrance tests, a critical transition period from adolescence to adulthood. The entrance test can significantly affect students' mental health, potentially leading to substance use. This study aims to investigate the prevalence of cigarette smoking and substance use among students taking these exams and the associated factors. METHODS: A cross-sectional survey was carried out on September 4th and 11th, 2022 to collect data from 1,480 university entrance test-taking students using a convenience sampling technique. Chi-square tests and logistic regression were conducted using SPSS software. Besides, GIS mapping was used to visualize the distribution of substance use and smoking behavior across districts via ArcGIS. RESULTS: The study found a 10% prevalence of current tobacco smoking and 4% substance use. Females (OR = 1.98; 95% CI: 1.38-2.85), urban residence (OR = 2.03; 95% CI: 1.42-2.88), repeater (OR = 1.45; 95% CI: 1.02-2.06), anxiety (OR = 1.55, 95% CI: 1.10-2.19), burnout (OR = 1.51, 95% CI: 1.00-2.12), and suicidal behavior (OR = 1.57; 95% CI: 1.03-2.40) were the significant factors for cigarette use. Whereas the urban residence (OR = 1.91; 95% CI: 1.11-3.31), anxiety (OR = 2.47, 95% CI: 1.45-4.20), and suicidal behavior (OR = 2.76; 95% CI: 1.55-4.92) significantly increased the risk of substance use. GIS analysis revealed males varied in substance use and females in tobacco smoking by district. Repeat test-takers were associated with district variations in both smoking and substance use. CONCLUSIONS: Educational institutions, public health authorities, and policymakers must implement mental health support and substance use prevention programs for students. Integrating mental health education, providing resources, and enforcing regulations can promote healthier coping strategies and reduce substance use risks among students.

Association of conventional cigarette smoking, heated tobacco product use and dual use with hypertension.

BACKGROUND: Heated tobacco products (HTPs) have emerged as alternatives to conventional cigarettes. However, their health effects remain largely unknown. This study aimed to prospectively explore the association between the use of cigarettes and HTPs and the risk of hypertension. METHODS: This cohort study analysed data from 30 152 workers (82.0% men, mean age 42.9 ± 11.0 years) who were initially free of hypertension, participating in the Japan Epidemiology Collaboration on Occupational Health Study. Participants were categorized into five groups based on their self-reported tobacco product use: never smokers, past smokers, exclusive cigarette smokers, exclusive HTP users and dual users of cigarettes and HTPs. Hypertension cases were identified using three data points from annual health checkup data collected between 2019 and 2021. Cox proportional hazards regression models were used to investigate the association between tobacco product use and hypertension. RESULTS: During a mean follow-up of 2.6 years (range: 0.1-4.0 years), 3656 new cases of hypertension were identified. Compared with never smokers, the risk of hypertension was higher among exclusive cigarette smokers [hazard ratio (HR) 1.26, 95% confidence interval (CI) 1.13-1.41] and exclusive HTP users (HR 1.19, 95% CI 1.06-1.34). There was also a suggestion of increased risk of hypertension among dual users (HR 1.16, 95% CI 0.98-1.38). Furthermore, the risk of hypertension increased with the intensity of cigarette/HTP use in all tobacco product users. CONCLUSIONS: Similarly, both cigarette smoking and HTP use elevate the risk of hypertension. HTPs should not be regarded as less harmful alternatives to traditional cigarettes for preventing hypertension.

Association of conventional and electronic cigarette use with suicidality in Chinese adolescents: The moderating effect of sex and school type.

BACKGROUND: To estimate the prevalence of lifetime e-cigarette use and explore the association between lifetime conventional and electronic cigarette use with suicidality among Chinese adolescents, focusing on sex and school-type differences. METHODS: A total of 22,509 students from 432 classes in 80 schools were recruited in Guangdong Province using a multistage, stratified cluster, random sampling method in 2021. Self-report questionnaires were used to collect information. Multivariable logistic regression models were performed and stratification analysis was conducted. All analyses were weighted and adjusted for the complex survey design. RESULTS: The weighted prevalence of lifetime e-cigarette use among adolescents in Guangdong Province was 8.7 % (4.3 % were dual users and 4.4 % were e-cigarette-only users) and 2.6 % were conventional-cigarette-only users. Lifetime e-cigarette-only users (AOR [Adjusted OR] =1.46, 95 % CI = 1.21-1.76), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.58-2.46) and dual users (AOR = 1.67, 95 % CI = 1.38-2.02) were at a higher risk of suicidal ideation than non-users. Lifetime e-cigarette-only users (AOR = 2.03, 95 % CI = 1.53-2.70), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.42-2.73), and dual users (AOR = 2.76, 95 % CI = 2.10-3.61) had a significantly higher risk of suicide attempts than non-users. After further analysis stratified by sex and school type, the associations of lifetime cigarette use patterns with suicidality slightly varied. LIMITATION: The cross-sectional study design and self-report information. CONCLUSION: The prevalence of e-cigarettes among Chinese adolescents is concerning. Lifetime conventional and e-cigarette use were associated with suicidality among Chinese adolescents, with sex and school type moderating these associations. Targeted measures to restrict cigarette use, including new tobacco product (e-cigarette) use, among adolescents are warranted.

Changes in tobacco use and associated factors among Brazilian adolescents: National Student Health Survey. / Mudanças no uso do tabaco entre adolescentes brasileiros e fatores associados: Pesquisa Nacional de Saúde do Escolar.

This cross-sectional study used data from Brazil's National Student Health Survey (PeNSE), from 2015 and 2019, to compare consumption of tobacco products among adolescent students in Brazil and identify associated factors. The study variables were current cigarette smoking, use of other tobacco products and use of any tobacco product. Pearson's Chi-square test was used to ascertain associations between the variables; bivariate and multivariate analyses were performed using logistic regression. Cigarette smoking remained stable between 2015 (6.6%) and 2019 (6.8%), but use of any tobacco product increased (from 10.6% in 2015 to 14.8% in 2019), involving particularly hookahs (7.8%) and e-cigarettes (2.8%). Cigarette smoking was greater among adolescents aged 16 and 17, whose skin colour was black or brown, who missed classes without permission, who reported having no friends, displayed other risk factors, such as drinking alcoholic beverages, or who were passive smokers. The prevalence of smoking has increased over the years and is associated with sociodemographic aspects and other health risk behaviour, highlighting the need for lifelong health promotion actions.

O estudo objetiva comparar o consumo de diferentes produtos do tabaco entre os escolares adolescentes no Brasil em 2015 e 2019 e identificar os fatores associados ao seu uso. Estudo transversal com dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) de 2015 e 2019. Variáveis: uso atual de cigarro, uso de outros produtos do tabaco e uso de qualquer produto do tabaco. Foi usado o teste do Qui-quadrado de Pearson para verificar associação entre as variáveis, realizada análise bivariada e a multivariada por meio da regressão logística. O uso de cigarros se manteve estável entre 2015 (6,6%) e 2019 (6,8%). Mas houve aumento do uso de qualquer produto do tabaco (de 10,6% em 2015 para 14,8% em 2019), sendo o narguilé o mais frequente (7,8%) seguido do cigarro eletrônico (2,8%). O uso de cigarro foi mais elevado entre os adolescentes de 16 e 17 anos, com cor da pele preta e parda, que faltaram as aulas sem autorização, entre aqueles que relataram não ter amigos, que apresentavam outros fatores de risco como consumir bebidas alcoólicas e que eram fumantes passivos. A prevalência de tabagismo aumentou ao longo dos anos e foi associada com aspectos sociodemográficos e a outros comportamentos de risco à saúde, o que alerta para a necessidade de ações de promoção da saúde ao longo do ciclo de vida.

Tobacco-cannabis co-use among cancer patients and survivors: findings from 2 US cancer centers.

BACKGROUND: Cannabis use is prevalent among cancer patients and survivors and may provide some therapeutic benefits for this population. However, benefits may be attenuated when cannabis is co-used with tobacco, which is associated with more severe tobacco and cannabis use and adverse outcomes in noncancer populations. We compared cannabis use, primary mode of use, and therapeutic and/or nontherapeutic use among 3 groups of patients and survivors based on cigarette smoking status. METHODS: Survey data was collected from patients and survivors with cancer (n = 1732) at 2 US National Cancer Institute-designated cancer centers in states with varying cannabis regulatory policy. Prevalence of cannabis use (prior to diagnosis, after diagnosis, before treatment, after treatment), primary mode of use, and therapeutic and/or nontherapeutic use were assessed by cigarette smoking status (current, former, never) within and across centers using weighted bivariate analyses and multivariable logistic regression, controlling for demographic and clinical variables. RESULTS: Current cigarette use was associated with greater rates of cannabis use prior to diagnosis, after diagnosis, during treatment, and after treatment within each center (all P < .001) and in pooled analyses across centers (all P < .001). Primary mode of use, knowledge of cannabis products, and therapeutic and/or nontherapeutic use also statistically differed by tobacco status and study site. CONCLUSIONS: Results illustrate the importance of conducting assessments for both tobacco and cannabis use among cancer patients during and after cancer treatment, regardless of the cannabis regulatory environment. Given previous data indicating harms from co-use and continued tobacco use during cancer treatment, this issue introduces new priorities for cancer care delivery and research.

Association of perceived neighborhood air quality problems with attempt to quit cigarette smoking: a cross-sectional study in Texas.

Background: Cigarette smoking is the major preventable cause of premature deaths in the United States. Attempting to quit smoking is an important step toward smoking cessation. Although it has been studied extensively, limited information on the association between attempts to quit smoking and neighborhood air quality problems is available. Therefore, we examined the association between attempts to quit smoking in the past year and perceived neighborhood air quality problems among adult Texans who smoke. Methods: In 2018, a cross-sectional multistage area probability design-based survey was administered to collect sociodemographic, behavioral, and health-related information from a representative sample of 2050 Texas residents. The current study included 486 adult respondents who reported smoking within the past 12 months. The association between attempts to quit smoking and perceived neighborhood air quality (measured by self-reported problems with neighborhood air quality) was examined using a population-weighted multivariable logistic regression analysis. Results: Overall, 60.7% of the 486 respondents attempted to quit cigarette smoking. The prevalence of attempting to quit was 74.6% for those reporting perceived neighborhood air quality problems. In the multivariable analysis, a higher likelihood of attempting to quit smoking was found among individuals with perceived neighborhood air quality problems (AOR: 1.906 [1.104-3.289]) and those who were married or living as married (AOR: 1.876 [1.161-3.033]). The likelihood of attempts to quit smoking was lower among males (AOR: 0.629 [0.397-0.995]) and decreased with age (AOR: 0.968 [0.951-0.984]). Discussion: The perceived neighborhood air quality problems were found to independently predict attempts to quit cigarette smoking in Texas. To encourage quitting smoking among individuals living in neighborhoods with poor air quality, such neighborhoods should receive tailored and evidence-based interventions to improve community education, social support, and healthcare professionals' assistance to quit smoking.

Trajectories of polysubstance use: Are past-year internalizing and externalizing problems associated with trajectories of polysubstance use over time?

OBJECTIVE: Polysubstance use among adults has been a public health concern in the U.S. and is associated with adverse consequences. This study aimed to identify the longitudinal trajectory of polysubstance use and test whether internalizing and externalizing problems predict it. METHODS: Data of adults aged 18 and older (N = 15076) were extracted from the Waves 1-5 Population Assessment of Tobacco and Health Study (2013-2019). Group-Based Trajectory Modeling was performed to identify the trajectory of polysubstance use. Examined substances included use of cigarettes, e-cigarettes, excessive alcohol, cannabis, painkillers, and cocaine in past 30 days from all waves. Weighted multinomial logistic regressions were conducted to investigate the associations between internalizing and externalizing problems and the trajectory of polysubstance use, controlling for demographic variables. RESULTS: Five trajectory groups were identified: (1) No to minimal polysubstance use risk (45.6 %); (2) Polysubstance use-low risk (10.7 %); (3) Cigarette-leading polysubstance use-high risk (23.5 %); (4) Cigarette-cannabis co-leading polysubstance use-high risk (12.3 %); and (5) Cannabis-leading polysubstance use-high risk (7.8 %). Compared with Group 1, higher internalizing problems predicted the membership of Group 3 [Relative risk ratio (RRR) range: 1.07-1.17] and Group 4 (RRR range: 1.04-1.21). Compared with Group 1, higher externalizing problems predicted the membership of Group 5 (RRR range: 1.01-1.10). CONCLUSIONS: Prevention efforts should consider internalizing problems and associated trajectories of high-risk polysubstance use (e.g., cigarette-leading and cigarette-cannabis co-leading) as well as externalizing problems and associated trajectories of high-risk polysubstance use (e.g., cannabis-leading), when designing interventions to prevent polysubstance use.

Predictors and health outcomes of cigarette and shisha smoking among men in Gaza: a cross-sectional study.

Tobacco smoking, a significant public health concern globally, is associated with a rise in noncommunicable diseases (NCDs) and preventable deaths, with pronounced impacts in conflict zones like Gaza. A cross-sectional study, conducted in 2020, in Gaza focused on individuals over 40 years of age, aiming to identify predictors of tobacco use and its links to diseases like coronary artery disease (CAD), chronic lung disease (CLD), and stroke using regression analysis. The research, based on the Gaza NCD study data with 4576 participants and a 96.6% response rate, found an overall tobacco smoking prevalence of 19.4%, with higher rates among men. After adjusting for various factors, the study identified significant associations between cigarette smoking in men and adverse health outcomes, such as CAD and CLD, with adjusted odds ratios (OR) of 1.67, 95% CI (1.22-2.29) and 1.68, 95% CI (1.21-2.33) respectively. However, after adjusting for independent variables, shisha smoking in men showed no association with these health outcomes. The findings of this study could assist other researchers in designing interventions aimed at reducing smoking prevalence by utilizing the associated factors identified in our analysis, such as age, education level, physical activity, and body mass index among men in Gaza.

Predictors of attrition in a randomized controlled trial of an electronic nicotine delivery system among people interested in cigarette smoking reduction.

BACKGROUND: Mitigating attrition is a key component to reduce selection bias in longitudinal randomized controlled trials (RCTs). Few studies of electronic nicotine delivery systems (ENDS) allow for the examination of long-term retention. This analysis explores the relationship between attrition, baseline measures, and condition assigned for a RCT involving ENDS differing in nicotine delivery over a 24-week intervention period. METHODS: Participants (N = 520) who smoked ≥10 cigarettes per day [CPD] for ≥1 year and reported interest in reducing but not quitting were randomized to 1 of 4 conditions: an ENDS containing 0, 8, or 36 mg/ml liquid nicotine (administered double-blind) or a cigarette-shaped plastic tube. Cox proportional hazards regression models were fit to examine attrition over time and predictors of attrition including baseline characteristics and condition. A stepwise approach was used to determine the final model; alpha was set at 0.05. RESULTS: Attrition did not differ significantly by condition (223/520), and most (69%) were lost-to-follow-up. Only age, education level, and household income were significantly predictive of attrition. For every additional year of age, attrition risk fell by 3%. Holding a bachelor's degree or higher was associated with reduced attrition risk. Those with the lowest income (<$10 K) were more likely to be withdrawn compared to those earning $10 K-39 K, and those with the highest income ($100 K+) were more likely to be withdrawn compared with the latter bracket and those earning $70-99 K. CONCLUSION: ENDS nicotine content did not drive differential attrition in this trial, and targeted retention efforts are needed for specific subgroups. Trial Registration #: NCT02342795.

Longitudinal associations of e-cigarette use with cigarette, marijuana, and other drug use initiation among US adolescents and young adults: Findings from the population assessment of tobacco and health study (Waves 1-6).

INTRODUCTION: Research examining prospective links of e-cigarette use with cigarette, marijuana, and other substance use has been limited largely to 1-2-year follow-up periods and focused on younger adolescents. This study examined longitudinal associations of e-cigarette use with cigarette, marijuana, and other substance use initiation among U.S. adolescents and young adults (AYAs) across an eight-year period. METHODS: Adolescent (ages 12-17) and young adult (ages 18-25) data from waves 1-6 of the nationally representative Population Assessment of Tobacco and Health study (2013-2021) were used. Discrete time survival models with time-varying weights were employed to examine the risk of cigarette, marijuana, and other drug use initiation over an eight-year follow-up period among AYAs with no lifetime use of e-cigarettes/other tobacco, lifetime but no past 30-day use of e-cigarettes/other tobacco, past 30-day e-cigarettes only, other tobacco use only, or past 30-day e-cigarette/other tobacco use. We compare our time-varying weighting approach to a traditional time-invariant/complete case weighting approach. RESULTS: Across six follow-up waves, all three past 30-day nicotine/tobacco use groups, including e-cigarettes only, had greater risk for cigarette, marijuana, and other drug use initiation relative to those not using nicotine/tobacco. The three past 30-day nicotine/tobacco use groups did not differ from each other in risk for marijuana use initiation. Associations were smaller in magnitude for young adults compared to adolescents, but significant for both age groups. CONCLUSIONS: Substance use initiation risks persist beyond 1-2 years for U.S. AYAs using e-cigarettes. Prevention strategies to reduce AYA e-cigarette use are needed to reduce cancer-related risk.

Longitudinal association of exclusive and dual use of cigarettes and cigars with asthma exacerbation among US adults: a cohort study.

BACKGROUND: Cigar use among adults in the United States has remained relatively stable in the past decade and occupies a growing part of the tobacco marketplace as cigarette use has declined. While studies have established the detrimental respiratory health effects of cigarette use, the effects of cigar use need further characterization. In this study, we evaluate the prospective association between cigar use, with or without cigarettes, and asthma exacerbation. METHODS: We used data from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health Study to run generalized estimating equation models examining the association between time-varying, one-wave-lagged cigarette and cigar use and self-reported asthma exacerbation among US adults (18+). We defined our exposure as non-established (reference), former, exclusive cigarette, exclusive cigar, and dual use. We defined an asthma exacerbation event as a reported asthma attack in the past 12 months necessitating oral or injected steroid medication or asthma symptoms disrupting sleep at least once a week in the past 30 days. We adjusted for age, sex, race and ethnicity, household income, health insurance, established electronic nicotine delivery systems use, cigarette pack-years, secondhand smoke exposure, obesity, and baseline asthma exacerbation. RESULTS: Exclusive cigarette use (incidence rate ratio (IRR): 1.26, 95% confidence interval (CI): 1.03-1.54) and dual use (IRR: 1.41, 95% CI: 1.08-1.85) were associated with a higher rate of asthma exacerbation compared to non-established use, while former use (IRR: 1.01, 95% CI: 0.80-1.28) and exclusive cigar use (IRR: 0.70, 95% CI: 0.42-1.17) were not. CONCLUSION: We found no association between exclusive cigar use and self-reported asthma exacerbation. However, exclusive cigarette use and dual cigarette and cigar use were associated with higher incidence rates of self-reported asthma exacerbation compared to non-established use. Studies should evaluate strategies to improve cigarette and cigar smoking cessation among adults with asthma who continue to smoke.

Total life expectancy and disability-free life expectancy and differences attributable to cigarettes' smoking among Chinese middle-aged and older adults.

OBJECTIVES: Middle-aged and older adults smoking for years are afflicted by smoking-related diseases and functional limitations; however, little is known about the effect of smoking on nonfatal conditions in middle and later life. This study aims to investigate the impact of smoking on both total life expectancy (TLE) and disability-free life expectancy (DFLE) and the variations in such effects by educational level in China. METHODS: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS), 2011-2018, with a total sample of 16,859 individuals aged 45 years or older involved in the final analysis. The Activities of Daily Living (ADL) scale was used to measure disability, and the population-based multistate life table method was used to estimate the differences in TLE and DFLE by smoking status and educational attainment. RESULTS: At baseline, 28.9% of participants were current smokers, 8.5% were former smokers, and 62.6% never smoked. Approximately 5.6% were identified with ADL disability. Both current smokers and former smokers experienced lower TLE and DFLE than never smokers, and such differences were particularly prominent among men. Intriguingly, former smokers manifested a lower DFLE for both sexes and a lower TLE among women, though a longer TLE among men, compared with current smokers. Similar differences in TLE and DFLE by smoking status were observed for groups with different levels of education. CONCLUSION: Never smokers live longer and healthier than current smokers and persons who quit smoking. Smoking was associated with greater reductions in TLE and DFLE among men. However, educational attainment might not moderate the adverse effect of smoking on both fatal and nonfatal conditions in the context of China. These findings have implications for disability prevention, aged care provision and informing policies of healthy aging for China and elsewhere.

Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank.

BACKGROUND: To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM. METHODS: This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM. RESULTS: During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10- 118) from health to FCMD, 1.40 (1.33 ∼ 1.47) vs. 1.09 (1.05 ∼ 1.14) (P = 1.50 × 10- 18) from FCMD to CMM, and 2.87 (2.72 ∼ 3.03) vs. 1.38 (1.32 ∼ 1.45) (P < 0.001) from health, 2.16 (1.98 ∼ 2.35) vs. 1.25 (1.16 ∼ 1.34) (P = 1.18 × 10- 46) from FCMD, 2.02 (1.79 ∼ 2.28) vs. 1.22 (1.09 ∼ 1.35) (P = 3.93 × 10- 17) from CMM to death; whereas quitting smoking reduced the risk attributed to cigarette smoking by approximately 76.5% across all transitions. Reduced risks of smoking cessation were also identified when age at quitting smoking was used as a proxy for former smokers. CONCLUSIONS: Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.

Projection of the prevalence of tracheal, bronchus, and lung cancer incidence using cigarette smoking prevalence in Iran from 1990 to 2018: a comparison of latent period-based models with standard forecasting models.

BACKGROUND: Smoking is the major risk factor for tracheal, bronchus, and lung (TBL) cancers. We investigated the feasibility of projecting TBL cancer incidence using smoking incidence rates by incorporating a range of latent periods from the main risk factor exposure to TBL cancer diagnosis. METHODS: In this ecological study, we extracted data on TBL cancer incidence rates in Iran from 1990 to 2018 from the Global Burden of Disease (GBD) database. We also collected data on Iranian cigarette smoking patterns over the past 40 years through a literature review. The weighted average smoking incidence was calculated using a fixed-effects model with Comprehensive Meta-Analysis (CMA) software. Using these data, the five-year TBL cancer incidence in Iran was projected through time series modeling with IT Service Management (ITSM) 2000 software. A second model was developed based on cigarette smoking incidence using linear regression with SPSS (version 22), incorporating different latent periods. The results of these two models were compared to determine the best latent periods. RESULTS: An increasing trend in TBL cancer incidence was observed from 2019 to 2023 (first model: 10.30 [95% CI: 9.62, 10.99] to 11.42 [95% CI: 10.85, 11.99] per 100,000 people). In the second model, the most accurate prediction was obtained with latent periods of 17 to 20 years, with the best prediction using a 17-year latent period (10.13 to 11.40 per 100,000 people) and the smallest mean difference of 0.08 (0.84%) per 100,000 people using the standard forecasting model (the ARIMA model). CONCLUSION: Projecting an increase in TBL cancer incidence rates in the future, an optimal latent period of 17 to 20 years between exposure to cigarette smoke and TBL cancer incidence has implications for macrolevel preventive health policymaking to help reduce the burden of TBL cancer in upcoming years.

Coexistence of Standard Modifiable, Other Classical, and Novel and Classical Atherosclerotic Cardiovascular Disease Risk Factors in Middle Eastern Young Women.

Background: The coexistence of multiple standard modifiable risk factors (SMuRFs),classical and novel risk factors (RFs) for atherosclerotic cardiovascular disease (ASCVD) is common in the Middle East (ME). There is a paucity of data on the coexistence of these RFs in ME young women. Aim: Comparing the prevalence and the statistical patterns of the SMuRFs, classical and novel RFs in target population. Methods: In this case-control (1:2) study, consecutive young women aged 18-50 years were enrolled in 12 centers (July 2021 to October 2023). Prevalence and coexistence of 19 RFs were compared between cases with ASCVD and their controls. The RFs included SMuRFs (hypertension, type 2 diabetes, dyslipidemia, and cigarette smoking), other classical RF (obesity, family history of premature ASCVD, and physical inactivity), novel RFs and social determinants of health (health insurance, place of residence, depression, and level of education). Results: The study included 627 subjects; 209 had ASCVD (median age 46 years, IQR 49-42 years) and 418 controls (median age 45 years, IQR 48-41 years). The presence of 1-2 RFs; (ASCVD: 63.2%, Control: 54.1%, p=0.037) and 3-4 RFs; (ASCVD: 27.8%, Control: 3.3%, p < 0.001) SMuRFs was more prevalent in women with ASCVD. Similarly, the presence of 4-5 RFs; (ASCVD: 40.7%, Control: 14.6%, p<0.001), and 6-7 (ASCVD: 10.5%, Control: 1%, p < 0.001). The classical RF were also significantly common in these women. The distribution of multiple novel RF was not statistically significant across both groups. Finally, regarding the socioeconomic RFs in women with ASCVDs, the presence of 1-2 RFs (ASCVD: 59.8%, Control: 76.1%, p < 0.001) was significantly less common while the presence of 3-4 RFs (ASCVD: 39.2%, Control: 21.8%, p < 0.001) was vastly more common. Conclusion: An elevated rate of coexistence of classical RF in the case group, mainly socioeconomic and SMuRFs. By managing them primary and secondary ASCVDs prevention attained.

Increased e-cigarette use prevalence is associated with decreased smoking prevalence among US adults.

BACKGROUND: If US adults who smoke cigarettes are switching to e-cigarettes, the effect may be observable at the population level: smoking prevalence should decline as e-cigarette prevalence increases, especially in sub-populations with highest e-cigarette use. This study aimed to assess such effects in recent nationally-representative data. METHODS: We updated a prior analysis with the latest available National Health Interview Survey data through 2022. Data were cross-sectional estimates of the yearly prevalence of smoking and e-cigarette use, respectively, among US adults and among specific age, race/ethnicity, and sex subpopulations. Non-linear models were fitted to observed smoking prevalence in the pre-e-cigarette era, with a range of 'cut-off' years explored (i.e., between when e-cigarettes were first introduced to when they became widely available). These trends were projected forward to predict what smoking prevalence would have been if pre-e-cigarette era trends had continued uninterrupted. The difference between actual and predicted smoking prevalence ('discrepancy') was compared to e-cigarette use prevalence in each year in the e-cigarette era to investigate whether the observed decline in smoking was statistically associated with e-cigarette use. RESULTS: Observed smoking prevalence in the e-cigarette era was significantly lower than expected based on pre-e-cigarette era trends; these discrepancies in smoking prevalence grew as e-cigarette use prevalence increased, and were larger in subpopulations with higher e-cigarette use, especially younger adults aged 18-34. Results were robust to sensitivity tests varying the analysis design. CONCLUSIONS: Population-level data continue to suggest that smoking prevalence has declined at an accelerated rate in the last decade in ways correlated with increased uptake of e-cigarette use.

Clustering of behavioral economic biases in decision-making and risk for cigarette smoking and other substance use in women and men.

BACKGROUND: Low loss aversion (LA) and high delay discounting (DD) are behavioral-economic decision-making biases that independently predict cigarette smoking and other risky substance use. Here we examine (1) whether low-LA and high-DD co-occur, (2) does co-occurrence increase the odds of current smoking and other substance use compared to only low-LA, high-DD, or neither; and (3) potential gender differences in these associations. METHOD: Data are from five studies with U.S. adults who currently smoked or never-smoked cigarettes recruited using online convenience sampling matching on gender and education. Participants completed identical sociodemographic, substance use (cigarette, other drugs, alcohol), and LA (hypothetical 50-50 gambles) and DD (monetary-choice questionnaire) measures. LA and DD scores were dichotomized as low and high using Receiver-Operating-Characteristic Curve logistic regression. RESULTS: LA and DD each independently predicted substance use and with few exceptions were not influenced by gender. Low-LA compared to high-LA predicted two-fold greater odds of co-occurring high-DD (AOR = 2.120, 95%CI:1.749-2.571, p < .0001). Similarly, high-DD compared to low DD predicted two-fold greater odds of low-LA (AOR = 2.118, 95%CI:1.747-2.568, p < .0001). Among those with co-occurring low-LA and high-DD, odds of substance use were 5-10 times greater than those exhibiting neither, and 2-3 times greater than those exhibiting only low-LA or high-DD. CONCLUSIONS: Low-LA and high-DD cluster in women and men such that exhibiting one of these decision-making biases doubles the odds of exhibiting the other. These results demonstrate reliable clustering of low-LA and high-DD and a striking increase in risk for substance use relative to having only one or neither decision-making bias.