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Introduction: Little is known about how U.S. smoking patterns of initiation, cessation, and intensity vary by birth cohort across education levels or how these patterns may be driven by other demographic characteristics., Methods: Smoking data for adults aged ≥25 years was obtained from the National Health Interview Surveys 1966-2018. Age-period-cohort models were developed to estimate the probabilities of smoking initiation, cessation, intensity, and prevalence by age, cohort, calendar year, and gender for education levels: ≤8th grade, 9th-11th grade, high school graduate or GED, some college, and college degree or above. Further analyses were conducted to identify the demographic factors (race/ethnicity and birthplace) that may explain the smoking patterns by education. Analyses were conducted in 2020-2021., Results: Smoking disparities by education have increased by birth cohort. In recent cohorts, initiation probabilities were highest among individuals with 9th-11th-grade education and lowest among individuals with at least a college degree. Cessation probabilities were higher among those with higher education. Current smoking prevalence decreased over time across all education groups, with important differences by gender. However, it decreased more rapidly among individuals with ≤8th grade education, resulting in this group having the second lowest prevalence in recent cohorts. This may be driven by the increasing proportion of non-U.S. born Hispanics in this group., Conclusions: Although smoking is decreasing by cohort across all education groups, disparities in smoking behaviors by education have widened in recent cohorts. Demographic changes for the ≤8th-grade education group need special consideration in analyses of tobacco use by education., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: U.S. smoking prevalence varies greatly by race/ethnicity. However, little is known about how smoking initiation, cessation, and intensity vary by birth cohort and race/ethnicity., Methods: Adult smoking data were obtained from the 1978-2018 National Health Interview Surveys. Age‒period‒cohort models with constrained natural splines were developed to estimate historical smoking patterns among non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian and Pacific Islander, and non-Hispanic American Indian and Alaskan Native individuals. Annual smoking prevalence and probabilities of smoking initiation, cessation, and intensity by age, year, gender, and race/ethnicity were estimated for the 1900 to 2000 birth cohorts. Analysis was conducted in 2020-2021., Results: Smoking initiation probabilities were highest for the American Indian and Alaskan Native population, second highest among the non-Hispanic White population, and lowest among Asian and Pacific Islander and Hispanic populations across birth cohorts. Historically, initiation probabilities among non-Hispanic Black populations were comparable with those among non-Hispanic White populations but have decreased since the 1970 birth cohort. Cessation probabilities were lowest among American Indian and Alaskan Native and non-Hispanic Black populations and highest among non-Hispanic White and Asian and Pacific Islander populations across cohorts and ages. Initiation and cessation probabilities produce observed patterns of smoking where prevalence among American Indian and Alaskan Native populations is highest across all ages and cohorts. Across cohorts, smoking prevalence among non-Hispanic Black populations, particularly males, is lower than among non-Hispanic White populations at younger ages but higher at older ages., Conclusions: There are important and persistent racial/ethnic differences in smoking prevalence, initiation, cessation, and intensity across U.S. birth cohorts. Targeted interventions should address widening smoking disparities by race/ethnicity, particularly for American Indian and Alaskan Native and non-Hispanic Black populations., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: The impact of cigarette smoking on mortality is well studied, with estimates of the relative mortality risks for the overall population widely available. However, age-specific mortality estimates for different sociodemographic groups in the U.S. are lacking., Methods: Using the 1987-2018 National Health Interview Survey Linked Mortality Files through 2019, all-cause mortality relative risks (RRs) were estimated for current smokers or recent quitters and long-term quitters compared with those for never smokers. Stratified Cox proportional hazards regression models were used to estimate RRs by age, gender, race/ethnicity, and educational attainment. RRs were also assessed for current smokers or recent quitters by smoking intensity and for long-term quitters by years since quitting. The analysis was conducted in 2021-2022., Results: All-cause mortality RRs among current smokers or recent quitters were generally highest for non-Hispanic White individuals than for never smokers, followed by non-Hispanic Black individuals, and were lowest for Hispanic individuals. RRs varied greatly by educational attainment; generally, higher-education groups had greater RRs associated with smoking than lower-education groups. Conversely, the RRs by years since quitting among long-term quitters did not show clear differences across race/ethnicity and education groups. Age-specific RR patterns varied greatly across racial/ethnic and education groups as well as by gender., Conclusions: Age-specific all-cause mortality rates associated with smoking vary considerably by sociodemographic factors. Among high-education groups, lower underlying mortality rates for never smokers result in correspondingly high RR estimates for current smoking. These estimates can be incorporated in modeling analyses to assess tobacco control interventions' impact on smoking-related health disparities between different sociodemographic groups., (Copyright © 2022 American Journal of Preventive Medicine. All rights reserved.)

Background: Tobacco control efforts implemented in the United States since the 1960s have led to considerable reductions in smoking and smoking-related diseases, including lung cancer., Objective: To project reductions in tobacco use and lung cancer mortality from 2015 to 2065 due to existing tobacco control efforts., Design: Comparative modeling approach using 4 simulation models of the natural history of lung cancer that explicitly relate temporal smoking patterns to lung cancer rates., Setting: U.S. population, 1964 to 2065., Participants: Adults aged 30 to 84 years., Measurements: Models were developed using U.S. data on smoking (1964 to 2015) and lung cancer mortality (1969 to 2010). Each model projected lung cancer mortality by smoking status under the assumption that current decreases in smoking would continue into the future (status quo trends). Sensitivity analyses examined optimistic and pessimistic scenarios., Results: Under the assumption of continued decreases in smoking, age-adjusted lung cancer mortality was projected to decrease by 79% between 2015 and 2065. Concomitantly, and despite the expected growth, aging, and longer life expectancy of the U.S. population, the annual number of lung cancer deaths was projected to decrease from 135 000 to 50 000 (63% reduction). However, 4.4 million deaths from lung cancer are still projected to occur in the United States from 2015 to 2065, with about 20 million adults aged 30 to 84 years continuing to smoke in 2065., Limitation: Projections assumed no changes to tobacco control efforts in the future and did not explicitly consider the potential effect of lung cancer screening., Conclusion: Tobacco control efforts implemented since the 1960s will continue to reduce lung cancer rates well into the next half-century. Additional prevention and cessation efforts will be required to sustain and expand these gains to further reduce the lung cancer burden in the United States., Primary Funding Source: National Cancer Institute.

Introduction: Smoking remains the leading cause of preventable death in the USA but can be reduced through policy interventions. Computational models of smoking can provide estimates of the projected impact of tobacco control policies and can be used to inform public health decision making. We outline a protocol for simulating the effects of tobacco policies on population health outcomes., Methods and Analysis: We extend the Smoking History Generator (SHG), a microsimulation model based on data from the National Health Interview Surveys, to evaluate the effects of tobacco control policies on projections of smoking prevalence and mortality in the USA. The SHG simulates individual life trajectories including smoking initiation, cessation and mortality. We illustrate the application of the SHG policy module for four types of tobacco control policies at the national and state levels: smoke-free air laws, cigarette taxes, increasing tobacco control programme expenditures and raising the minimum age of legal access to tobacco. Smoking initiation and cessation rates are modified by age, birth cohort, gender and years since policy implementation. Initiation and cessation rate modifiers are adjusted for differences across age groups and the level of existing policy coverage. Smoking prevalence, the number of population deaths avoided, and life-years gained are calculated for each policy scenario at the national and state levels. The model only considers direct individual benefits through reduced smoking and does not consider benefits through reduced exposure to secondhand smoke., Ethics and Dissemination: A web-based interface is being developed to integrate the results of the simulations into a format that allows the user to explore the projected effects of tobacco control policies in the USA. Usability testing is being conducted in which experts provide feedback on the interface. Development of this tool is under way, and a publicly accessible website is available at http://www.tobaccopolicyeffects.org., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Introduction: We examine the trajectory of adult smoking prevalence in the United States over the period 1990-2014 to investigate whether the smoking cessation rate has changed during this period., Methods: We employ a dynamic model of smoking prevalence, and data from the National Health Interview Survey (NHIS) and the National Survey on Drug Use and Health (NSDUH), to estimate the adult cessation rate in 6-year intervals. We use weighted nonlinear least squares to perform the estimation. We then employ a meta-regression model to test whether the cessation rate has increased., Results: The annual cessation rate has increased from 2.4% in 1990 to 4.5% in 2014 according to the NHIS data, and from 3.2% in 2002 to 4.2% in 2014 according to the NSDUH data. The increasing trend is statistically significant (p value = 1.57×10-6) and the two independent surveys produced nearly identical results, which makes it unlikely that our findings are a product of chance., Conclusions: Our analysis finds that the smoking cessation rate in the United States has almost doubled since 1990. This increase is responsible for at least 2 million fewer smokers in 2014. If current conditions persist, by the year 2020 the increase in cessation rates will be responsible for 3.5 million fewer smokers. Our findings can assist in predicting the future path of the smoking epidemic and determining the correct allocation of resources to eradicate it., Implications: We show that the adult smoking cessation rate has greatly increased since 1990. We demonstrate this by studying prevalence trajectories from two independent population surveys, which yielded nearly identical results. Different from other studies, we focus on permanent quit rates (net of relapses) which we estimate from a dynamic model of prevalence. Our results do not stem from self-reported quitting behavior, but from the analysis of observed prevalence and its inherent variability. Our findings can contribute to predicting the future path of the smoking epidemic and to determining the optimal allocation of resources to eradicate it., (© The Author 2016. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: People with serious mental illness experience substantially reduced life expectancy, likely due in part to their higher smoking rates relative to the general population. However, the extent to which smoking affects their life expectancy, independent of mental illness, is unknown. This study quantifies the potential contribution of smoking to reduced life expectancy among individuals with serious psychological distress (SPD), a measure that screens for serious mental illness in national surveys., Methods: A cohort of 328,110 U.S. adults was examined using the 1997-2009 National Health Interview Surveys linked to the 2011 National Death Index. Cox models were used to estimate mortality hazard ratios for current smoking, former smoking, and SPD and construct life tables by smoking and SPD status. The smoking-attributable fraction of deaths by SPD status was calculated. Analyses were conducted in 2015., Results: Among those with SPD, being a current smoker doubles the risk of death. Current smokers with SPD lose 14.9 years of life relative to never smokers without SPD. Among never smokers, having SPD reduces life expectancy by 5.3 years. Thus, smoking may account for up to two thirds of the difference in life expectancy between smokers with SPD and never smokers without SPD. One third of deaths among those with SPD can be attributed to smoking., Conclusions: The life expectancy difference between current smokers with SPD and never smokers without SPD is primarily due to smoking. Aiding individuals with serious mental illness to avoid smoking will translate into sizeable gains in life expectancy., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Electronic cigarette (e-cigarette) use has increased rapidly in recent years. Given the unknown effects of e-cigarette use on cigarette smoking behaviors, e-cigarette regulation has become the subject of considerable controversy. In the absence of longitudinal data documenting the long-term effects of e-cigarette use on smoking behavior and population smoking outcomes, computational models can guide future empirical research and provide insights into the possible effects of e-cigarette use on smoking prevalence over time., Methods: Agent-based model examining hypothetical scenarios of e-cigarette use by smoking status and e-cigarette effects on smoking initiation and smoking cessation., Results: If e-cigarettes increase individual-level smoking cessation probabilities by 20%, the model estimates a 6% reduction in smoking prevalence by 2060 compared with baseline model (no effects) outcomes. In contrast, e-cigarette use prevalence among never smokers would have to rise dramatically from current estimates, with e-cigarettes increasing smoking initiation by more than 200% relative to baseline model estimates to achieve a corresponding 6% increase in smoking prevalence by 2060., Conclusions: Based on current knowledge of the patterns of e-cigarette use by smoking status and the heavy concentration of e-cigarette use among current smokers, the simulated effects of e-cigarettes on smoking cessation generate substantially larger changes to smoking prevalence compared with their effects on smoking initiation.

Background: Smokeless tobacco use is becoming an increasingly important public health issue in the US and may influence cigarette smoking behavior. Systematic information on transitions between smokeless tobacco and cigarette use in the US is limited., Methods: We conducted a systematic review of published literature on transitions between smokeless tobacco and cigarette use in the US. We searched PubMed, Web of Science and EbscoHost databases for all published articles from January 2000 to March 2014 that presented estimates of transitions in US youth and adult study populations over time between at least one of the following tobacco use states: exclusive cigarette smoking, exclusive smokeless tobacco use, dual use of both products, and use of neither product. We excluded non-English language studies, studies published before 2000, clinical trials, controlled cessation programs, and clinical studies or evaluations of smokeless tobacco cessation programs., Results: The review identified six studies on US populations published since 2000 with longitudinal data on some or all of the transitions that users can undergo between smokeless tobacco and cigarette use. There was considerable heterogeneity across studies in design and tobacco use definitions. Despite these differences, the existing data indicate that switching behaviors from exclusive smoking to exclusive smokeless tobacco use are limited (adults: 0%-1.4%, adolescents: 0.8%-3.8%) but may be more common from exclusive smokeless tobacco use to exclusive smoking (adults: 0.9%-26.6%, adolescents: 16.6%-25.5%). Among adults, exclusive cigarette smoking was generally stable and consistent (79.7% to 87.6%) over follow-up across studies but less stable in adolescents (46.8%-78.7%). Exclusive smokeless tobacco use was less stable than exclusive cigarette smoking over time (adults: 59.4%-76.6%, adolescents: 26.2%-44.8%)., Conclusion: This review provides published estimates of the proportions of adults and adolescents transitioning between tobacco use categories from the most recently available studies on longitudinal transitions between smokeless tobacco and cigarettes in the US. These data can be used to track tobacco use behaviors and evaluate their effect on public health; however, the data for these studies were generally collected more than a decade ago. Additional research including nationally representative longitudinal estimates using consistent definitions and designs, would improve understanding of current tobacco transition behaviors.

Background: Namibia is typical of low-income and middle-income countries with growing tobacco use, but with limited capacity to impose comprehensive tobacco control legislation. Despite initiating dialogue on national tobacco control policy in 1991, the country took nearly 20 years to pass the Tobacco Products Control Act., Objective: To use Namibia as a case study to illustrate challenges faced by low-income countries working to forward tobacco control legislation., Method: Face-to-face and telephonic interviews were conducted with 13 bureaucrats and advocates currently or previously engaged in tobacco-related work in Namibia. Tobacco-related news articles from national newspapers were examined., Results: The constitutional obligation of the government to promote public health laid the foundation for Namibia's tobacco control policy. Staff capacity constraints greatly delayed the passing of tobacco control legislation. It is unclear what influence the tobacco industry's involvement as a stakeholder had on policy; however, in at least one instance, the tobacco industry actively misled government. Namibia's ratification of the Framework Convention on Tobacco Control was instrumental in passing legislation that meets most provisions of the international treaty. The media have generally played a supportive role in pushing the government to pass tobacco control legislation., Conclusions: The fact that Namibia was able to pass fairly comprehensive tobacco control legislation with such meagre resources is commendable. The government must now implement the regulations that make the legislation effective. Tobacco control progress in low-income and middle-income nations can be encouraged through use of the media and improved staff and legal capacity within health ministries., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Introduction: U.S. smoking prevalence has been declining over the last several decades. During this time, the population has also experienced changes in its demographic composition, as Americans are living longer and becoming increasingly racially and ethnically diverse. Since smoking rates vary across age and race/ethnicity groups, demographics alone could contribute to changes in smoking prevalence among the general population. We examined the effect of changing age and race/ethnicity distributions on total smoking prevalence from 1980 to 2010., Methods: Using the National Health Interview Survey weighting scheme, we applied the distribution of smokers across age and race/ethnicity categories for the years 1980 and 2010 to the distribution of adults in those categories for both years. The total number of smokers was summed to determine resulting smoking prevalence., Results: The combined effect of aging and the changing racial/ethnic composition of the U.S. population has contributed 2.1% points to the decline in smoking prevalence. If the age and racial/ethnic demographic composition had not changed since 1980, smoking prevalence would have been 21.3% in 2010 (with rounding)--statistically significantly higher than the reported 19.3%. Of the 3 demographic factors we considered (age, race, and ethnicity), ethnicity--specifically the rising share of Hispanics in the population--is the most important contributor to declines in smoking., Conclusions: Our changing demographics have had an impact on smoking prevalence over the last 3 decades. Future declines in smoking may be driven even more by the aging of the population and increasing racial and ethnic diversity.

Introduction Menthol cigarette bans have been implemented in some US states and localities, and a federal ban is being proposed by the FDA. This study asks how young adults who use menthol cigarettes respond to changes in menthol cigarette availability. Aims and Methods An online survey of young adults ages 18–34 who reported smoking menthol cigarettes on ≥7 of 30 days around Thanksgiving 2019 (n  = 734), oversampling Massachusetts—the first state with a menthol ban. Participants reported their tobacco use behavior following real-world menthol cigarette bans or predicted their behavior under a hypothetical federal ban. Results Most respondents who exclusively smoked versus dual used with e-cigarettes continued smoking/using combustible tobacco following real-world bans (95.3% vs. 86.9%), accessing menthol cigarettes from other jurisdictions. Fewer who smoked exclusively responded by using e-cigarettes compared to those who dual used (3.9% vs. 43.7%). Quitting all tobacco use (ie, no smoking, vaping, or any tobacco use) was uncommon for both groups (3.6% vs. 9.0%). Under a hypothetical ban, majorities of those who exclusively smoke and who dual use predicted they would continue smoking (72.2% vs. 71.8%); fewer who smoke exclusively would use e-cigarettes compared to those who dual use (14.7% vs. 41.4%). Those who smoke exclusively were more likely to report quitting all tobacco compared to those who dual use (29.6% vs. 12.4%). Conclusions Under real-world and hypothetical menthol cigarette bans, most respondents continued smoking. However, more young adults continued smoking following real-world bans, reflecting the limitations of local/state restrictions when menthol cigarettes are available in other jurisdictions. Implications This survey asked young adults who use menthol cigarettes how they responded to real-world changes in the availability of menthol cigarettes; 89% reported continuing to smoke. Those who smoked exclusively were far less likely to respond by switching to e-cigarettes compared to people who dual used both products. Under a hypothetical federal menthol cigarette ban, 72% of young adults predicted that they would continue smoking. Quitting all tobacco was less common in the real-world scenario compared to the hypothetical ban. Access to menthol cigarettes in other jurisdictions and flavored cigars likely dampen the public health benefit of menthol cigarette bans. [ABSTRACT FROM AUTHOR]

Background: Simulation models play an increasingly important role in tobacco control. Models examining the impact of nicotine vaping products (NVPs) and smoking tend to be highly specialized and inaccessible. We present the Smoking and Vaping Model (SAVM),a user-friendly cohort-based simulation model, adaptable to any country, that projects the public health impact of smokers switching to NVPs. Methods: SAVM compares two scenarios. The No-NVP scenario projects smoking rates in the absence of NVPs using population projections, deaths rates, life expectancy, and smoking prevalence. The NVP scenario models vaping prevalence and its impact on smoking once NVPs became popular. NVP use impact is estimated as the difference in smoking- and vaping-attributable deaths (SVADs) and life-years lost (LYLs) between the No-NVP and NVP scenarios. We illustrate SAVM's adaptation to the German adult ages 18+ population, the Germany-SAVM by adjusting the model using population, mortality, smoking and NVP use data. Results: Assuming that the excess NVP mortality risk is 5% that of smoking, Germany-SAVM projected 4.7 million LYLs and almost 300,000 SVADs averted associated with NVP use from 2012 to 2060. Increasing the excess NVP mortality risk to 40% with other rates constant resulted in averted 2.8 million LYLs and 200,000 SVADs during the same period. Conclusions: SAVM enables non-modelers, policymakers, and other stakeholders to analyze the potential population health effects of NVP use and public health interventions. [ABSTRACT FROM AUTHOR]

The Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group age-period-cohort methodology to study smoking patterns can be applied to tackle important issues in tobacco control and public health. This paper summarizes the analyses of smoking patterns in the U.S. by race/ethnicity, educational attainment, and family income and for each of the 50 U.S. states using the CISNET Lung Working Group age-period-cohort approach. We describe how decision makers, policy advocates, and researchers can use the sociodemographic analyses in this supplement to project state smoking trends and develop effective state-level tobacco control strategies. The all-cause mortality RR estimates associated with smoking for U.S. race/ethnicity and education groups are also discussed in the context of research that measures and evaluates health disparities. Finally, the application of the CISNET Lung Working Group age-period-cohort methodology to Brazil is reviewed with a view to how the same types of analyses can be applied to other low- and middle-income countries. [ABSTRACT FROM AUTHOR]

Smoking prevalence has decreased considerably in Brazil from 34.8% in 1989 to 12.6% in 2019 owing to the implementation of strong tobacco control policies. However, recent data show that the downward trend may be stagnating. Detailed analyses of historical smoking patterns by birth cohort could guide tobacco control decision making in Brazil. Using the 2008 Global Adult Tobacco Survey and the 2013 and 2019 National Health Surveys, historical smoking patterns in Brazil were estimated, supplemented with data from the 2006‒2019 Surveillance System of Risk Factors for Chronic Diseases by Telephone Interviews. Age‒period‒cohort models with constrained natural splines were applied to estimate the annual probabilities of smoking initiation and cessation, current smoker prevalence, and mean cigarettes smoked per day by age, gender, and birth cohort. Analysis was conducted in 2021‒2022. Current smoker prevalence has declined considerably since the 1950 and 1955 birth cohorts for males and females, respectively, reflecting decreased smoking initiation and increased smoking-cessation probabilities over time. Among female cohorts born on or after 2000, smoking initiation may be increasing even as their smoking cessation has increased considerably. Mean cigarettes smoked per day has remained relatively constant across period and cohorts, showing only a minor decrease among males. These detailed cohort-specific smoking parameters can be used to inform models that evaluate the impact of tobacco use and policies on long-term health outcomes and guide public health decision making in Brazil. Stagnant mean cigarettes smoked per day, increasing female smoking initiation, and limited improvement in male cessation among recent cohorts present challenges to tobacco control. [ABSTRACT FROM AUTHOR]

Introduction: Experts recommend integrating smoking-cessation treatments within U.S. mental health settings, but the population health benefits of doing so have not been estimated. This study simulates the impact of widespread cessation treatment for patients with depression under best-case treatment and maximum potential cessation scenarios.Methods: Cessation interventions were simulated for U.S. adult smokers seeing a health professional for depression from 2020 to 2100. Interventions included (1) Any Treatment (behavioral counseling, pharmacological, combination) and (2) Pharmacological Treatment (including counseling), combined with increased mental health service utilization each. These were compared with a maximum potential cessation scenario where all patients with major depression quit smoking. Analyses were conducted in 2016-2020.Results: Widespread uptake of Any Treatment among patients with depression would avert 32,000 deaths and result in 138,000 life-years gained by 2100; Any Treatment combined with 100% mental health service utilization would result in 53,000 and 231,000, respectively. Pharmacological Treatment would avert 125,000 deaths, with 540,000 life-years gained. Pharmacological Treatment combined with 100% mental health service utilization would result in 203,000 deaths averted and 887,000 life-years gained. Health gains under best-case treatment scenarios represent modest fractions of those projected under maximum potential cessation scenarios at current mental health service utilization levels (835,000 deaths averted, 3.73 million life-years gained) and at 100% utilization (1.11 million deaths averted, 5.07 million life years gained).Conclusions: Providing smoking-cessation treatment to patients with depression and increasing mental health service utilization would reduce the toll of tobacco on this population. These gains would be considerably larger if cessation treatments were more effective. [ABSTRACT FROM AUTHOR]

Introduction: The US Food and Drug Administration announced its intention to ban menthol in cigarettes. However, information is needed on how a federal ban would affect population health.Aims and Methods: We conducted an expert elicitation to gauge the impact of a menthol cigarette and cigar ban in the United States. We developed and pilot tested a questionnaire that focused on tobacco use transitions of current smokers (age 18-24 menthol, age 35-54 menthol, and age 35-54 nonmenthol) and potential menthol smokers (age 12-24). Using a structured expert elicitation, we estimated mean net transitions under a ban from cigarette use to combustible tobacco product, smokeless tobacco, novel nicotine delivery product (NNDPs, such as e-cigarettes) use, or no tobacco use.Results: Eleven experts provided responses. Of those ages 12-24 who would have initiated menthol cigarette use in the absence of a ban, the experts estimated that 41% would still initiate combustible products under a ban, while 18% would initiate with NNDPs and 39% would not initiate regular tobacco use. Combustible use by menthol smokers ages 35-54 was expected to decline by 20% postban relative to preban rates, half switching to NNDPs and half quitting all tobacco use. Menthol smokers ages 18-24 were expected to reduce combustible use by 30%, with 16% switching to NNDPs. Greater reductions in combustible use were estimated for African Americans across the three age groups. Negligible impacts were expected for current adult nonmenthol smokers.Conclusions: According to expert opinion, a menthol ban is expected to substantially reduce smoking initiation and combustible tobacco product use among current menthol smokers.Implications: The US Food and Drug Administration recently announced its intention to ban menthol in cigarettes, but information on the potential impact on smoking and other nicotine product use is limited. We conducted an expert elicitation to gauge the impact of a menthol cigarette and cigar ban in the United States. A panel of experts estimated that menthol smokers ages 35-54 would reduce combustible tobacco use by 20%, with half switching to e-cigarettes and half quitting all nicotine use. Larger reductions were expected at younger ages, and menthol smoking initiation was reduced by 59% with 18% instead using e-cigarettes. African Americans were expected to have greater reductions in combustible tobacco use than the rest of the population. [ABSTRACT FROM AUTHOR]

Introduction: There is concern that youth e-cigarette use may serve as a gateway to cigarette smoking, and that nicotine exposure may harm brain development. It is therefore important to know how much nonsmoking youth perceive being exposed to nicotine through e-cigarettes.Methods: Data on smoking and vaping from the 2016 Monitoring the Future survey of eighth, tenth, and 12th grade students were analyzed in 2017. The weighted percentage distributions of self-reported e-cigarette mist last inhaled were calculated according to ever-smoking status and past 30-day smoking frequency. Chi-square tests of the association between smoking status and use of e-cigarettes perceived to contain nicotine, marijuana or hash oil, or just flavoring were performed. Never smokers and regular smokers were compared regarding the type of e-cigarette mist they believe they last used.Results: A significant relationship exists between smoking behavior and reportedly vaping nicotine (p<0.01) or just flavors (p<0.01). With increasing smoking intensity, an increasing proportion of students report they are vaping nicotine; a decreasing proportion report just flavors. Among 12th graders, prevalence of vaping nicotine is lowest among never smokers and non-current smokers (14.3% and 18.1%) and highest among current and frequent smokers (61.3% and 60.9%, p<0.01). Substantially larger proportions of never smokers and 30-day nonsmokers report vaping just flavors (76.0% and 69.6%) compared with regular or frequent smokers (31.0% and 29.3%, p<0.01).Conclusions: Most nonsmoking students perceive limited nicotine exposure from vaping. Future research should evaluate the accuracy of self-reported e-cigarette nicotine content and monitor students who are consciously using nicotine-based e-cigarettes. [ABSTRACT FROM AUTHOR]

Introduction: Tobacco use has shifted increasingly from cigarettes to other products. While the focus has been mostly on cigarette-oriented policies, it is important to gauge the effects of policies targeting other products. We review and critique the literature on how policies affect smokeless tobacco (ST).Methods: We conducted a search of the literature on tobacco control policies as they relate to ST use, focusing on tobacco taxes, smoke-free air laws, media campaigns, advertising restrictions, health warnings, cessation treatment policies, and youth access policies. Findings from 78 total studies are summarized.Results: ST taxes, media campaigns, health warnings, and cessation treatment policies were found to be effective tools in reducing ST use. Evidence on the effects of current youth access policies is less strong. Studies have not yet been conducted on marketing or product content restrictions, but the literature indicates that product marketing, through advertising, packaging, flavorings, and extension of cigarette brands, plays an important role in ST use.Conclusions: Although the evidence base is less established for ST policies than for cigarette policies, the existing literature indicates ST use responds to tobacco control policies. Policies should be structured in a way that aims to reduce all tobacco use while at the same time increasing the likelihood that continuing tobacco users use the least risky products.Implications: Studies find that policies targeting smoking and policies targeting smokeless products affect smokeless use, but studies are needed to examine the effect of policies on the transitions between cigarette and smokeless use. [ABSTRACT FROM AUTHOR]

Objectives: To assess progress in tobacco control policy research and the relevance of research to policymaking. Methods: Over 100 experts were surveyed about their opinions on the body of research existing in 1992 and 2011 concerning 11 areas of tobacco control policy, the state of policy implementation in both years, the extent to which research has affected policy adoption and how experience with policy has influenced research. Case studies of how research and policy implementation have interacted were developed. Results: The body of research was not judged 'substantial' in any of the policy areas in 1992. In 2011, 6 of the 11 areas were evaluated as substantial. None ranked as substantial regarding policy implementation in 1992, but by 2011 half were so ranked for developed countries; in low-income and middle-income countries policy implementation moved from very low to moderate. Respondents judged the role of research in actual policymaking as 'substantial' regarding clean indoor air, taxation and cessation treatment policy. Case studies illustrate how research can directly affect policy (taxation), how policy and research can have iterative effects (clean indoor air), and how research and policy interact in the case of novel policies (graphic cigarette pack warnings). The role of research in the formulation of the Framework Convention on Tobacco Control is also examined. Conclusions: Policy research goals established in 1992 have been largely realised. For select tobacco control policies, research has made truly important contributions to saving lives. Evidence-based policy adoption will continue to be essential to minimising the toll of tobacco, especially in the world's poorer countries. [ABSTRACT FROM AUTHOR]

Tobacco-related health disparities disproportionately affect smokers with major depression (MD). Although tobacco simulation models have been applied to general populations, to date they have not considered populations with a comorbid mental health condition. We developed and calibrated a simulation model of smoking and MD comorbidity for the US adult population using the 2005-2018 National Surveys on Drug Use and Health. We use this model to evaluate trends in smoking prevalence, smoking-attributable mortality and life-years lost among adults with MD, and changes in smoking prevalence by mental health status from 2018 to 2060. The model integrates known interaction effects between smoking initiation and cessation, and MD onset and recurrence. We show that from 2018 to 2060, smoking prevalence will continue declining among those with current MD. In the absence of intervention, people with MD will be increasingly disproportionately affected by smoking compared to the general population; our model shows that the smoking prevalence ratio between those with current MD and those without a history of MD increases from 1.54 to 2.42 for men and from 1.81 to 2.73 for women during this time period. From 2018 to 2060, approximately 484,000 smoking-attributable deaths will occur among adults with current MD, leading to 11.3 million life-years lost. Ambitious tobacco control efforts could alter this trajectory. With aggressive public health efforts, up to 264,000 of those premature deaths could be avoided, translating into 7.5 million life years gained. This model can compare the relative health gains across different intervention strategies for smokers with MD. [ABSTRACT FROM AUTHOR]

Smoking rates across U.S. states have declined at different rates over time because some states have progressive tobacco control policies, whereas others have yet to adopt them. Therefore, each state has its own unique historical experience of smoking initiation, cessation, and prevalence. This study characterizes smoking histories for each U.S. state by birth cohort. Using 1965–2018 National Health Interview Survey and 1992–2019 Tobacco Use Supplement to the Current Population Survey data, statistical methods applied an age‒period‒cohort modeling framework to reconstruct population-level smoking histories for each state. Smoking initiation, cessation, and intensity by age, gender, and cohort were estimated for each state. These were used to construct state-specific trends in the prevalence of current, former, and never smoking as well as the mean smoking duration and pack years. Analysis was conducted from 2017 to 2022. California and Kentucky, respectively, are exemplar states of more and less aggressive tobacco control. Initiation probabilities were consistently lower in California than in Kentucky, and cessation probabilities were higher. Hence, the smoking prevalence derived from these parameters is higher in Kentucky. The intensity of cigarette smoking was higher in Kentucky than in California, yielding considerably higher estimated pack years when used with the other parameters. Summaries of smoking trends are given for all states. Smoking initiation, cessation, and intensity trends vary substantially across states, resulting in major differences in estimated smoking prevalence, duration, and pack years. Some states show improvements in smoking metrics over time with more recent birth cohorts, but others have shown very little. [ABSTRACT FROM AUTHOR]

In the U.S., low-income individuals generally smoke more than high-income individuals. However, detailed information about how smoking patterns differ by income, especially differences by birth cohort, is lacking. Using the National Health Interview Survey 1983–2018 data, individual family income was calculated as a ratio of the federal poverty level. Missing income data from 1983 to 1996 were imputed using sequential regression multivariate imputation. Age‒period‒cohort models with constrained natural splines were used to estimate annual probabilities of smoking initiation and cessation and smoking prevalence and intensity by gender and birth cohort (1900–2000) for 5 income groups: <100%, 100%–199%, 200%–299%, 300%–399%, and ≥400% of the federal poverty level. Analysis was conducted in 2020–2021. Across all income groups, smoking prevalence and initiation probabilities are decreasing by birth cohort, whereas cessation probabilities are increasing. However, relative differences between low- and high-income groups are increasing markedly, such that there were greater declines in prevalence among those in high-income groups in more recent cohorts. Smoking initiation probabilities are lowest in the ≥400% federal poverty level group for males across birth cohorts, whereas for females, this income group has the highest initiation probabilities in older cohorts but the lowest in recent cohorts. People living below the federal poverty level have the lowest cessation probabilities across cohorts. Smoking prevalence has been decreasing in all income groups; however, disparities in smoking by family income are widening in recent birth cohorts. Future studies evaluating smoking disparities should account for cohort differences. Intervention strategies should focus on reducing initiation and improving quit success among low-income groups. [ABSTRACT FROM AUTHOR]

Cigarette smoking rates are significantly higher among people with serious psychological distress (SPD) compared to the general population. US simulation models that project future smoking disparities by SPD status could inform policy interventions, but have not been developed. We calibrated two compartmental models to the National Health Interview Survey 1997–2018 for populations with and without SPD, calculating smoking prevalence, mortality, and life-years lost by SPD status under different scenarios from 2023 to 2100. Under the Status Quo, smoking prevalence among women with SPD falls from 27.0% in 2023 to 10.7% in 2100 (men: 30.1% to 12.2%). For women without SPD, it declines from 9.4% to 3.1% (men: 11.5% to 4.0%). The absolute difference in smoking prevalence between those with and without SPD decreases over time, whereas the relative smoking prevalence ratio increases. From 2023 to 2100, 609,000 premature smoking-attributable deaths would occur in the SPD population, with 8 million life-years lost. Under an ideal tobacco control scenario for people with SPD, in which all smokers quit in 2023 and no new smoking initiation occurs thereafter, up to 386,000 of these premature deaths could be averted with 4.9 million life-years gained. Preventing smoking initiation could avert up to 18% of these deaths, while improving smoking cessation could avert up to 82%. Smoking-related disparities for people with SPD will persist unless a shift in tobacco control substantially improves cessation and prevents initiation in this subpopulation. Smoking disparities by SPD may widen in relative but narrow in absolute terms, so both perspectives should be evaluated. • First tobacco simulation model of population with serious psychological distress. • 609,000 smoking-attributable deaths to occur in this population through 2100. • Up to 386,000 of these premature deaths could be averted in the population. • Trends in disparities depend on the type of metric used: absolute or relative. • Improving cessation for this group leads to large, short-term public health benefit. [ABSTRACT FROM AUTHOR]