Smoke-free Air Research Articles

Prevalence of Smoking Among School Students in Iraq.

Background Developing communities like Iraq are critical to building a good community environment. Many complex patterns of behaviors like smoking among adolescents have been exacerbated rapidly in the current era which led to changes in the Iraqi community's perspectives and life expectancy. This study aims to find out the prevalence of smoking among secondary school students in Iraq and their perceived contributing factors. Methods A cross-sectional study design was used with a representative sample of Iraqi school students recruited through a multistage cluster randomization from the Nineveh Governorate's intermediate and secondary schools to ensure the representation of the general public strata. A total of 330 students were randomly selected from eight schools distributed all over Mosul city (the center of Nineveh Governorate) and its boundaries semi-rural areas. Data collection utilized a standardized, anonymous questionnaire based on the Global Youth Tobacco Survey (GYTS) administered within classrooms with the researcher's presence. The questionnaire included questions related to sociodemographic characteristics of the students, smoking state, smoking types, frequency of smoking, relative smoking state, opinion on predisposing factors for initiation of smoking, and knowledge about hazards of smoking. Data analysis was done using SPSS version 26 to calculate frequency distribution with further logistic regression analysis was performed to identify statistically significant factors contributing to initiation of smoking among the student participants with p-value estimation of any compares considered significant below 0.05. Results Prevenance of all types of smoking was 24.5% from 330 students with 30% from 246 males and 7%from 84 females has been encountered. Hookah (Shisha) was the most prevalent type of smoking.About a third of the smoker sample reported smoking at least once daily. Peer pressure (OR=3.49, P< 0.001) or family smoking (OR=1.769, P=0.019) emerged as the strongest influence for initiation of smoking, besides stress (OR=2.23, P= 0.04) and personality traits like stammering and jealousy (OR=2.58, P= 0.013), (OR=2.22, P= 0.017, respectively) have also significant odds. Interestingly, media (movie star) influence played a significant role also. (OR=1.492, P= 0.045). Conclusion The prevalence of smoking among the study sample was 24.5 % out of 330 participating students. Significant influencing factors were found that raised the concern and necessitated the development of targeted interventions. Implementing evidence-based strategies, such as comprehensive school-based educational programs and smoke-free indoor air policies, can significantly improve public health outcomes.

Interventions for pediatric asthma a literature review of efficacy and safety in pharmacological and non-pharmacological modalities

Asthma continues to be a major global health concern due to its related morbidity and healthcare utilization, especially in children. Pharmaceutical treatments are crucial for managing asthma, but non-pharmacological therapies are now increasingly recognized for their complimentary benefits in enhancing quality of life and lowering medication reliance. This review examines the many methods for managing asthma that involve both non-pharmacological and pharmacological techniques. The review underscores the significance of environmental triggers, including dust mites, pet dander, and mold, and shows practical strategies for mitigating allergy symptoms and adjusting living environments. It also covers how enhancing indoor air quality using smoke-free zones and HEPA air filters might lessen asthma attacks, particularly in kids who are exposed to secondhand smoke and urban air pollution. The objective is to maximize the care of asthma and reduce the worldwide prevalence of this chronic respiratory disorder by implementing comprehensive approaches that incorporate both non-pharmacological and pharmaceutical interventions.

Examining local smoke-free coalitions in Armenia and Georgia: context and outcomes of a matched-pairs community-randomised controlled trial

IntroductionLocal coalitions can advance public health initiatives such as smoke-free air but have not been widely used or well-studied in low-income and middle-income countries.MethodsWe conducted a matched-pairs community-randomised controlled trial...

An Association Between State Laws Limiting Local Control and Community Smoke-Free Indoor Air in the United States.

This study examines the association between state laws limiting local control (preemption laws) and local smoke-free policies. We utilized policy data from the American Nonsmokers' Rights Foundation. The primary outcome variable is the presence of a "100% smoke-free policy," across any of 4 indoor settings: workplaces, restaurants, bars, and gaming venues. We employed generalized structural equation modeling to investigate the relationship between state laws pre-empting smoke-free indoor air regulation and local adoption of policies requiring smoke-free air in any public venues, or for specific venues, adjusting for sociodemographic characteristics. Our findings reveal a significant association between state preemption laws and the presence of a local 100% smoke-free indoor policy as of 2023. In states with preemption laws, cities were less likely to have a 100% smoke-free indoor policy at any venue than cities in states without preemption laws (OR = 0.07, 95% CI = 0.05-0.10). When considering specific smoke-free venues, cities in states with preemption laws were less likely to have a 100% smoke-free indoor policy covering workplaces (OR = 0.05, 95% CI = 0.03-0.09), restaurants (OR = 0.04, 95% CI = 0.02-0.07), bars (OR = 0.04, 95% CI = 0.03-0.08), and gaming venues (OR = 0.03, 95% CI = 0.01-0.09) compared to cities in states without preemption laws. Our study suggests that state preemption laws limit local decision-making and the implementation of public health policies focused on tobacco harms.

Prevalence of Underreported Nicotine Exposure Among US Nonsmoking Adults: A Comparison of Self-Reported Exposure and Serum Cotinine Levels From NHANES 2013-2020.

Secondhand smoke (SHS) poses a significant health risk. However, individuals who do not smoke may be unaware of their exposure, thereby failing to take protective actions promptly. We assessed the prevalence of underreported nicotine exposure in a nationally representative sample of US nonsmoking adults using data from the US National Health and Examination Survey. Individuals with underreported nicotine exposure were defined as those who reported no exposure to all tobacco products (traditional tobacco, nicotine replacements, and e-cigarettes) or SHS, yet had detectable levels of serum cotinine (>0.015 ng/mL). We fitted logistic regression models to determine sociodemographic and chronic condition factors associated with underreported nicotine exposure. Our analysis included 13 503 adults aged 18 years and older. Between 2013 and 2020, the prevalence of self-reported SHS exposure, serum cotinine-assessed nicotine exposure, and underreported nicotine exposure among US nonsmokers were 22.0%, 51.2%, and 34.6%, respectively. Remarkably, 67.6% with detectable serum cotinine reported no SHS exposure. Males, non-Hispanic blacks, individuals of other races (including Asian Americans, Native Americans, and Pacific Islanders), and those without cardiovascular diseases were more likely to underreport nicotine exposure than their counterparts. The median serum cotinine value was higher in respondents who reported SHS exposure (0.107 ng/mL) than in those who reported no exposure (0.035 ng/mL). We estimate that approximately 56 million US residents had underreported nicotine exposure. Over a third of US nonsmokers underreport their nicotine exposure, underlining the urgent need for comprehensive public awareness campaigns and interventions. Further research into sociodemographic determinants influencing this underreporting is needed. Understanding the extent of underreported nicotine exposure is crucial for developing effective public health strategies and interventions. It is imperative to bolster public consciousness about the risks associated with SHS. Additionally, surveillance tools should also incorporate measures of exposure to outdoor SHS and e-cigarette vapor to enhance the quality of data monitoring. Findings from this study can guide tobacco control initiatives and inform smoke-free air legislation.

Tobacco smoke incursion into private residences in Israel: a cross-sectional study examining public perceptions of private rights and support for governmental policies

BackgroundTobacco smoke incursion (TSI) into private residences is a widespread problem in many countries. We sought to assess the prevalence of self-reported TSI and public attitudes about TSI in Israel, a country with a relatively high smoking prevalence and high population density.MethodsWe conducted a random digit dial survey among residents in Israel (N = 285) in 2017, which examined the frequency, source, correlates of, and attitudes towards TSI and potential regulatory options. The cooperation rate was 63.9%.ResultsAmong respondents, 44.7% reported ever experiencing home TSI, with higher exposure among residents of multi-unit housing (MUH) (MUH versus private homes: aOR (Adjusted Odds Ratio): 3.60, CI (Confidence Interval): [1.96, 6.58], p < .001). Most respondents (69.8%), including nearly half of smokers, prioritized the right of individuals to breath smoke-free air in their apartments over the right of smokers to smoke in their apartments. Women and non-smokers were more likely to support the right to breathe smoke-free air (Women versus men: aOR: 2.77 CI: [1.48, 5.16], p = .001; Nonsmokers versus smokers: aOR: 3.21 CI [1.59, 6.48], p = .001). However, only about a quarter (24.8%) of respondents who ever experienced TSI raised the issue with the neighbor who smoked, the neighbor's landlord, or the building committee. The vast majority (85.2%) of all respondents, including three-quarters of smokers, supported smoke-free legislation for multi-unit housing (MUH), with those ever-exposed to TSI and non-smokers more likely to support legislation (ever-exposed versus never-exposed aOR = 2.99, CI [1.28, 6.97], p = 0.011; nonsmokers versus smokers aOR = 3.00, CI [1.28, 7.01], p = 0.011).ConclusionsAmong study participants, tobacco smoke incursion was a common, yet unwelcome experience. Most respondents believed that the right to breathe smoke-free air in one's apartment superseded that of neighbors to smoke anywhere in their home, and most supported legislation to prevent TSI. Though further study is needed to understand better TSI and effective methods for its prevention, our findings suggest that policy interventions, including legal action at the level of the Supreme Court and/or the Knesset, are needed. Regulation, policy initiatives and campaigns to denormalize smoking in proximity to other people and private residences globally could reduce the scope of this widespread problem, protect individuals from home TSI, and improve population health.

Advancing the science of policy implementation: a call to action for the implementation science field.

Public policies have been essential in addressing many of the most pressing public health problems in the USA and around the world. A large and convincing body of multidisciplinary research has established the impacts or effectiveness of public policies, such as smoke-free air laws and nutrition standards, on improving health outcomes and behaviors. Most of this research assumes that because an evidence-based policy is adopted or takes effect, it is implemented as intended. This assumption, however, is often incorrect. Like with clinical guidelines and other interventions, implementation science has an important role to play in promoting the uptake and implementation of evidence-based public policies that promote public health. To realize this potential, there remains a critical need to first establish a common understanding of what public policy is, the role of specific policies in the context of implementation (i.e., is it the evidence-based intervention or the implementation strategy?), and to establish an appropriate methodological foundation for the field of policy implementation science. We recommend that the field must evolve to (i) include policy experts and actors on policy implementation science study teams; (ii) identify theories, models, and frameworks that are suitable for policy implementation science; (iii) identify policy implementation strategies; (iv) adapt and/or identify study designs best suited for policy implementation science research; and (v) identify appropriate policy implementation outcome measures.

Potential short-term effects of tobacco control scheme under various application scenarios of tobacco control measures across the globe: a Meta-analysis

Objective: based on summarizing the simulation and prediction of tobacco control measures across the globe and sorting out the various scenarios of tobacco control measures, the potential short-term effects of seven tobacco control measures in different scenarios were systematically analyzed. Methods: Until April 2022, PubMed, Embase, EconLit, PsychINFO, and CINAHL databases were used to retrieve literature about tobacco control measures simulation and prediction models across the globe. Inclusion and exclusion criteria were strictly followed. Meta-analysis for the potential short-term effects of seven tobacco control measures in different scenarios was performed using the R software. Results: A total of 22 papers covering 16 countries were selected. Five studies were conducted in the United States, three in Mexico, and two in Italy. There were all papers with the measures to tax increases, smoke-free air laws, and mass media campaigns, 21 papers with youth access restrictions, 20 with marketing restrictions, and 19 with cessation treatment programs and health warnings. The tax increases had diverse influences on the price elasticity of different age groups. The price elasticity in the age group 15-17 years was the highest, which was 0.044 (95%CI: 0.038-0.051). The potential short-term effects of smoke-free air laws in workplaces were higher than in restaurants and other indoor public places. The effects of youth access restrictions were greater in the age group <16 years than in the age group 16-17. The stronger the implementation of other measures, the greater the potential short-term effects. A comparison of seven tobacco control measures showed that the cessation treatment programs increase in cessation rate was the highest, 0.404 (95%CI: 0.357-0.456). The reduction in smoking rate and reduction in initiation rate of youth access restrictions strongly enforced and publicized was the highest in the age group <16 years, 0.292 (95%CI: 0.269-0.315), and 0.292 (95%CI: 0.270-0.316). Conclusions: The potential short-term effects of seven tobacco control measures in different scenarios were evaluated more accurately and objectively through Meta-analysis. In the short term, cessation treatment programs will substantially increase smoking cessation rates, and strong youth access enforcement will sharply reduce smoking and initiation rates among adolescents under 16. These results also offer strong data-related support for the simulation and prediction of tobacco control measures in China and other countries.

Using the Past to Understand the Future of U.S. and Global Smoking Disparities: A Birth Cohort Perspective

Using the Past to Understand the Future of U.S. and Global Smoking Disparities: A Birth Cohort Perspective

Socio-temporal contextual and community factors associated with daily exclusive ENDS use and dual use with tobacco cigarettes among adolescent vapers: an ecological momentary assessment study

BackgroundAdolescents who dual use ENDS with tobacco cigarettes are more likely to have an increased risk of developing dependence. Yet, little is understood about the factors driving dual use among adolescents. The current study sought to reveal the day-to-day socio-temporal contextual and community factors associated with adolescents’ use of electronic nicotine delivery systems (ENDS), and how these factors predict dual use with tobacco cigarettes.MethodsWe collected ecological momentary assessments (EMA) from a sample of 50 adolescent past two-week vapers (ages 14–17 years old) over 14 days. Daily EMA data were collected on ENDS and tobacco cigarette use, as well as a range of contextual (i.e., motivations to vape, location of vaping, who with when vaping) and community factors (i.e., exposure to peers vaping, to adults vaping, to ENDS advertising, to ENDS warning messages). Our primary analyses were multilevel regressions, accounting for daily observations nested within individuals (N = 700 observations).ResultsParticipants used ENDS exclusively on 44% of days and dual used ENDS and tobacco cigarettes on 8% of the days. Dual use days (versus exclusive ENDS use days) were associated with “vaping because tobacco use was prohibited” (OR = 34.65, p < .05). Also, dual use days (versus no use days) were associated with greater exposure to adults vaping (OR = 5.59, p < .05), peers vaping (OR = 7.48, p < .05), and (c) ENDS advertisements or promotions (OR = 2.12, p < .01), whereas exclusive use days (versus no use days) were only associated with greater exposure to peers vaping (OR = 2.58, p < .01).ConclusionsResults showed that exposure to peers and adults vaping and exposure to ENDS marketing were associated with same day dual use behaviors. And, that adolescents who dual used were motivated to use ENDS because they were easy to conceal. Findings support stricter regulation of ENDS marketing and for smoke-free air laws that include ENDS. In addition, these findings support prioritizing family- and school-based prevention programming that effectively communicates risk associated with ENDS use, including heightened risk of dual use and dependence. Such efforts can reduce the number of adolescents who use ENDS as well as the number who transition to tobacco cigarette use.

Short-Term Effects of Side-Stream Smoke on Nerve Growth Factor and Its Receptors TrKA and p75NTR in a Group of Non-Smokers.

Environmental tobacco smoke remains a major risk factor, for both smokers and non-smokers, able to trigger the initiation and/or the progression of several human diseases. Although in recent times governments have acted with the aim of banning or strongly reducing its impact within public places and common spaces, environmental tobacco smoke remains a major pollutant in private places, such as the home environment or cars. Several inflammatory and long-term biomarkers have been analysed and well-described, but the list of mediators modulated during the early phases of inhalation of environmental tobacco smoke needs to be expanded. The aim of this study was to measure the short-term effects after exposure to side-stream smoke on Nerve Growth Factor and its receptors Tropomyosin-related kinase A and neurotrophin p75, molecules already described in health conditions and respiratory diseases. Twenty-one non-smokers were exposed to a home-standardized level of SS as well as to control smoke-free air. Nerve Growth Factor and inflammatory cytokines levels, as well the expression of Tropomyosin-related kinase A and neurotrophin receptor p75, were analysed in white blood cells. The present study demonstrates that during early phases, side-stream smoke exposure induced increases in the percentage of neurotrophin receptor p75-positive white blood cells, in their mean fluorescent intensity, and in gene expression. In addition, we found a positive correlation between the urine cotinine level and the percentage of neurotrophin receptor-positive white blood cells. For the first time, the evidence that short-term exposure to side-stream smoke is able to increase neurotrophin receptor p75 expression confirms the very early involvement of this receptor, not only among active smokers but also among non-smokers exposed to SS. Furthermore, the correlation between cotinine levels in urine and the increase in neurotrophin receptor p75-positive white blood cells could represent a potential novel molecule to be investigated for the detection of SS exposure at early time points.

Housing type and secondhand tobacco smoke exposure among non-smoking New York City adults, 2004 and 2013–14

Secondhand tobacco smoke (SHS) exposure has declined due to smoking reductions, expanding workplace and public smoke-free air laws, and smoke-free housing policy promotion. Population-based studies examining objective SHS exposure biomarkers have documented reductions over time, however non-smoking urban adults are more likely to have elevated cotinine (a metabolite of nicotine) compared with national averages. Evidence suggests residential housing type may impact urban SHS exposure risk. Direct associations between multiunit housing (MUH) and elevated cotinine have been identified among children but not yet examined among adults. We used data from the cross-sectional 2004 and 2013/14 New York City Health and Nutrition Examination Surveys to investigate associations between MUH (single-family versus 2; 3–99; and 100 + units) and likelihood of elevated serum cotinine among nonsmoking adults (2004: n = 1324; 2013/14: n = 946), adjusting for socio-demographics (sex, age, race/ethnicity, education, income) and self-reported SHS exposure variables. Combined and single-year adjusted multivariable regressions were conducted. Elevated cotinine was defined as a serum level of ≥ 0.05 ng/ml. Combined year adjusted multivariable regression analyses found no difference in elevated cotinine by housing type among non-smoking adults. By survey year, elevated cotinine did not vary by housing type in 2004, while non-smoking adults in 3–99 unit buildings were twice as likely to have elevated cotinine compared with single family residents in 2013/14 (adjusted Odds Ratio = 2.55 (1.13, 5.79)). While SHS exposure has declined, relative burden may be increasing among MUH residents. In urban settings with extensive MUH, attention to housing-based policies and programmatic interventions is critical to reducing SHS exposure.

Online Tobacco Advertising and Current Chew, Dip, Snuff and Snus Use among Youth and Young Adults, 2018–2019

Objective: To understand the relationship between exposure to online tobacco advertising and current smokeless tobacco use in the context of tobacco control policies. Methods: Three waves of a national probability-based sample of (n = 15,985) youth and young adults were used. Analysis consisted of GEE logistic models controlling for social media use, demographics, tobacco use, average price of smokeless tobacco inclusive of taxes, smoke-free indoor air laws (SFIA) and state tobacco control expenditures. Results: Frequent exposure to tobacco advertising on social media is associated with greater odds of current smokeless use (aOR: 2.05, 95% CI: 1.62, 2.60). Higher prices and SFIA coverage were associated with reduced current smokeless use when examined separately from other tobacco policy variables (aOR: 0.79, CI: 0.73, 0.85; aOR: 0.44, CI: 0.28, 0.70). Conclusions: Greater exposure to tobacco advertising online is associated with greater odds of smokeless use among surveyed youth and young adults. This effect of social media marketing exposure on smokeless use outweighs the mitigating impact of existing tobacco control policies. The findings underscore the need for strong advertising regulation of evolving tobacco products, including smokeless products, on social media and surveillance of digital marketing tactics to young people.

Association between Inclusion of E-Cigarettes in Statewide Comprehensive Smoke-Free Indoor Air Laws and Vaping Behaviors: Results from a Longitudinal Population Study

Background Several states have included e-cigarettes in their comprehensive smoke-free indoor air laws (i.e., aerosol-free policies), prohibiting the use of e-cigarettes––in addition to combustible tobacco products––in workplaces, restaurants, and bars. However, whether these policies contribute to reductions in e-cigarette use remains largely unknown. Objective This study utilized a nationally representative longitudinal sample to examine the association between the implementation of statewide aerosol-free policies and e-cigarette use behaviors. Methods: This longitudinal retrospective study implemented a quasi-experimental design. Waves 1–4 (2013–2018) restricted-use data from adult participants (weighted N = 22,838,787; unweighted N = 8,663) in the Population Assessment of Tobacco and Health (PATH) study were analyzed. The generalized difference-in-difference approach along with weighted hurdle and multinomial logistic regressions were conducted to examine the associations between aerosol-free policies and three measures of e-cigarette use (past 30-day e-cigarette abstinence status and number of use days, and past-12-month use frequency) pre- and post-policy implementation. Results Results indicated there were not statistically significant differences in e-cigarette use behaviors between participants living in states with and without the aerosol-free policies (ps ranged from 0.301 to 0.831), considering pre- and post-policy implementation. Conclusions Findings indicated that the effectiveness of the aerosol-free policies on e-cigarette use behaviors was not supported by longitudinal national data. States that have implemented aerosol-free policies should make pertinent efforts to enhance the awareness of these policies and to strengthen their enforcement. Future investigation into e-cigarette use in places where it is prohibited and implications with regard to effectiveness of aerosol-free policies is warranted.

Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017.

Adolescents are particularly vulnerable to tobacco initiation and escalation. Identifying factors associated with adolescent tobacco susceptibility and use can guide tobacco prevention efforts. Novel machine learning (ML) approaches efficiently identify interactive relations among factors of tobacco risks and identify high-risk subpopulations that may benefit from targeted prevention interventions. Nationally representative cross-sectional 2013-2017 Global Youth Tobacco Survey (GYTS) data from 97 countries (28 high-income and 69 low-and middle-income countries) from 342,481 adolescents aged 13-15 years (weighted N = 52,817,455) were analyzed using ML regression tree models, accounting for sampling weights. Predictors included demographics (sex, age), geography (region, country-income), and self-reported exposure to tobacco marketing, secondhand smoke, and tobacco control policies. 11.9% (95% CI 11.1%-12.6%) of tobacco-naïve adolescents were susceptible to tobacco use and 11.7% (11.0%-12.5%) of adolescents reported using any tobacco product (cigarettes, other smoked tobacco, smokeless tobacco) in the past 30 days. Regression tree models found that exposure or receptivity to tobacco industry promotions and secondhand smoke exposure predicted increased risks of susceptibility and use, while support for smoke-free air policies predicted decreased risks of tobacco susceptibility and use. Anti-tobacco school education and health warning messages on product packs predicted susceptibility or use, but their protective effects were not evident across all adolescent subgroups. Sex, region, and country-income moderated the effects of tobacco promotion and control factors on susceptibility or use, showing higher rates of susceptibility and use in males and high-income countries, Africa and the Americas (susceptibility), and Europe and Southeast Asia (use). Tobacco policy-related factors robustly predicted both tobacco susceptibility and use in global adolescents, and interacted with adolescent characteristics and other environments in complex ways that stratified adolescents based on their tobacco risk. These findings emphasize the importance of efficient ML modeling of interactions in tobacco risk prediction and suggest a role for targeted prevention strategies for high-risk adolescents.

Social responsibility in smoke-free air policy

This article aims to identify social responsibility of stakeholder in the implementation of smoke-free area policy in relation to Surakarta City’s development as Child-friendly City. This research employed literature review method. Literature source comes from scientific journals, research reports, credible website, and news portal. To identify the dimensions of social responsibility, it is traced from the criteria developed by The United Nations Guiding Principles on Business and Human Rights, the Global Impact of the United Nations, and ISO 26000. From the result of research, it can be concluded that there is interconnected economic-political interests between city government and Cigarette Company making the fulfillment of children’s right to the smoke-free region not the priority.

The Impact of Smoke-Free Air Laws and Conventional Cigarette Taxes on Cardiovascular Hospitalizations.

Smoke-free air legislation and conventional cigarette taxes have long been used to reduce smoking initiation, prevalence, and conventional cigarette consumption. However, the extent to which these policies affect population health across a range of diagnoses and age groups remains less well understood. Analyses use 2005-2014 hospital inpatient discharge data from up to 40 US states to estimate the effects of smoke-free air laws and conventional cigarette taxes on cardiovascular hospitalizations among working age and older adults. An increase in the percent of a county's population covered by smoke-free air laws yielded a significant decline of 2.4% (Relative risk [RR]: 0.976, 95% confidence interval [95% CI]: 0.954, 0.997) in acute cerebrovascular disease hospitalizations among older adults. Moreover, significant declines of 2.0% (RR: 0.980, 95% CI: 0.967, 0.994) and 2.8% (RR: 0.972, 95% CI: 0.949, 0.996) in acute cerebrovascular disease were observed among older adults in the first year and subsequent years after smoke-free air legislation was implemented, respectively. Conventional cigarette taxes did not yield a significant change in acute cerebrovascular disease hospitalizations, nor did either tobacco control policy lead to a significant decline in acute myocardial infarction hospitalizations. Smoke-free air laws play an important role in reducing adult cardiovascular hospitalizations. These findings confirm existing research on acute cerebrovascular disease outcomes, as well as the modest effects on acute myocardial infarction hospitalizations observed in state- and national-level analyses. Current research at the local level finds smoke-free air laws yield 40% declines in acute myocardial infarction hospitalizations and 29% declines in acute cerebrovascular disease. State- and national-level analyses find smaller effects of smoke-free air laws, and largely omit analyses of working age adults. Existing research likely suffers from omitted variable bias, including state-level tobacco control funding and local-level conventional cigarette taxes. Using adult hospitalization data from up to 40 states, this study confirms existing evidence at the national and state level, and provides new evidence that smoke-free air laws significantly reduce acute cerebrovascular disease hospitalizations among older adults.

The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

BackgroundNondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico.MethodsA previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels.ResultsBetween 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15–44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending.ConclusionsAlthough Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

Impact of smoke-free ordinance strength on smoking prevalence and lung cancer incidence.

Smoke-free ordinances (SFO) have been shown to be effective public health interventions, but there is limited data on the impact SFO on lung cancer outcomes. We explored the effect of county-level SFO strength with smoking prevalence and lung cancer incidence in Indiana. We obtained county-level lung cancer incidence from the Indiana State Cancer Registry and county-level characteristics from the Indiana Tobacco Prevention and Cessation Commission's policy database between 1995 and 2016. Using generalized estimating equations, we performed multivariable analyses of smoking prevalence and age-adjusted lung cancer rates with respect to the strength of smoke-free ordinances at the county level over time. Of Indiana's 92 counties, 24 had a SFO by 2011. In 2012, Indiana enacted a state-wide SFO enforcing at least moderate level SFO protection. Mean age-adjusted lung cancer incidence per year was 76.8 per 100,000 population and mean smoking prevalence per year was 25% during the study period. Counties with comprehensive or moderate SFO had a smoking prevalence 1.2% (95% CI [-1.88, -0.52]) lower compared with counties with weak or no SFO. Counties that had comprehensive or moderate SFO also had an 8.4 (95% CI [-11.5, -5.3]) decrease in new lung cancer diagnosis per 100,000 population per year compared with counties that had weak or no SFO. Counties with stronger smoke-free air ordinances were associated with decreased smoking prevalence and fewer new lung cancer cases per year. Strengthening SFO is paramount to decreasing lung cancer incidence.

Adding vaping restrictions to smoke-free air laws: associations with conventional and electronic cigarette use.

In the United States, some states and localities have added vaping restrictions to established smoke-free indoor air laws in order to reduce electronic cigarette use. Yet, if smokers use e-cigarettes to quit, such restrictions could have the unintended effect of attenuating the original smoke-free air policy's effects on smoking. This study estimated changes in current smoking, past-year smoking cessation, and recent vaping following the introduction of smoke- and vape-free air laws. Observational study of nationally representative data from the 2014-2018 National Health Interview Survey. United States. 87 334 participants, 18-54years of age. Multivariable linear regressions estimated the association between increased exposure to smoke- and vape-free worksite and restaurant laws and self-reported current smoking and recent vaping among emerging adults (ages 18-25), as well as past-12-month smoking cessation among prime age adults (ages 26-54). All regressions adjusted for respondent sociodemographic and other tobacco control policies, along with state and year fixed effects. Smoke-free worksite laws were associated with significant reductions in the likelihood of current smoking ( =-0.050, 95% CI: -0.098, -0.002, P=0.038) and recent vaping ( =-0.040, 95% CI: -0.072, -0.007, P=0.013), as well as increases in the likelihood of smoking cessation ( =0.026, 95% CI: 0.000, 0.052, P=0.046). Adding vaping restrictions to smoke-free worksite laws did not yield further reductions in recent vaping ( =0.008, 95% CI: -0.021, 0.036, P=0.568) and counteracted over half of the estimated association with current smoking relative to smoke-free policies alone ( =0.030, 95% CI: -0.028, 0.088, P=0.301). From 2014 to 2018, increased adoption of smoke-free worksite laws in the United States was associated with reductions in both current smoking and recent vaping, as well as increases in smoking cessation. Adding vaping restrictions to smoke-free worksite laws, however, was not associated with a reduction in recent vaping among emerging adults and may have attenuated the smoke-free policy's impact on current smoking in this age group.