Comprehensive US Statewide Smoke-Free Indoor Air Legislation and Secondhand Smoke Exposure, Asthma Prevalence, and Related Doctor Visits: 2007-2011

Associations of Lifestyle, Ambient Air Pollution With Progression of Asthma in Adults: A Comprehensive Analysis of UK Biobank Cohort

Objectives

We aim to investigate the associations between lifestyle, ambient air pollution with crucial outcomes in the progression of adult asthma, including asthma new-onset and asthma hospitalisation.

Methods

176,800 participants were included to assess the prospective association between baseline risk exposures and the subsequent asthma onset, 17,387 participants were used to evaluate asthma hospitalisation. Cox regression models were employed to examine the associations.

Results

In terms of lifestyle factors, the HRs (95% CIs) of the least healthy lifestyle categories for asthma incidence and hospitalization were 1.099 (1.017-1.187) and 1.064 (1.008-1.123), respectively. For pollutants, PM2.5, especially the traffic-related PM2.5 component, was consistently recognized as a significant risk factor for asthma onset (HR = 1.064, 95% CI: 1.034-1.094) and hospitalisation (HR = 1.031, 95% CI: 1.010-1.052) under various model adjustments. Low socioeconomic status also played a major role in the progression of adult asthma.

Conclusion

Our study provides crucial insights into factors influencing the progression of adult asthma. Monitoring and reducing exposure to air pollution, particularly PM2.5, promoting healthier lifestyle, and addressing socioeconomic inequity are important in preventing and managing asthma.

Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing

INTRODUCTION

Beijing initiated the nation's most comprehensive tobacco control program that adheres to the WHO Framework Convention on Tobacco Control. This study aimed to identify a set of indicators for the scoping of an Health Impact Assessment (HIA) to assess this policy.

METHODS

This study used a modified Delphi process. It proposed a tobacco control health impact framework based on the Driving forces- Pressure- State- Exposure- Effect- Action model and the Determinants of Health Theory. After a review of current surveillance system and literature, a working group of 13 experts with multidisciplinary background was established to formulate indicator evaluation criteria and conduct indicator scoring. Each indicator was scored by experts according to four evaluation criteria chosen. Indicators that obtained a total score above 80% and with standard error less than 5 were selected as the final set of indicators. Kendall's coefficient of concordance was calculated.

RESULTS

Twenty-three out of 36 indicators were selected. Smoking prevalence, mortality rate, hospital admission rate, tobacco consumption and hospital admission fees of smoking related diseases achieved more than 90% of total scores and ranked as the top five. Kendall's concordance coefficient was 0.218 for all indicators. For all model composition, Kendall's concordance coefficients were statistically significant.

CONCLUSION

This study identified a set of twenty-three indicators for scoping of HIA of a comprehensive tobacco control policy in Beijing based on a tobacco control health impact conceptual framework. The set of indicators achieved high scores and statistically significant consistency and has great potential to promote the evaluation of tobacco control policy in a global city. Further study might use the set of indicators for HIA on tobacco control policy to analyze empirical data.

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

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. 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 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. 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.

Impact of Air Pollution on Asthma Outcomes

Asthma is a chronic respiratory disease characterized by variable airflow obstruction, bronchial hyperresponsiveness, and airway inflammation. Evidence suggests that air pollution has a negative impact on asthma outcomes in both adult and pediatric populations. The aim of this review is to summarize the current knowledge on the effect of various outdoor and indoor pollutants on asthma outcomes, their burden on its management, as well as to highlight the measures that could result in improved asthma outcomes. Traffic-related air pollution, nitrogen dioxide and second-hand smoking (SHS) exposures represent significant risk factors for asthma development in children. Nevertheless, a causal relation between air pollution and development of adult asthma is not clearly established. Exposure to outdoor pollutants can induce asthma symptoms, exacerbations and decreases in lung function. Active tobacco smoking is associated with poorer asthma control, while exposure to SHS increases the risk of asthma exacerbations, respiratory symptoms and healthcare utilization. Other indoor pollutants such as heating sources and molds can also negatively impact the course of asthma. Global measures, that aim to reduce exposure to air pollutants, are highly needed in order to improve the outcomes and management of adult and pediatric asthma in addition to the existing guidelines.

Impacts of Smoking Ban Policies on Restaurants in Seoul, South Korea: Analysis of Objective Sales Information

BACKGROUND

From July 2013 to January 2015, the smoking ban instituted in restaurants in South Korea gradually expanded to cover all restaurants and bars, moving by size of restaurant (≤99 m2, 100-149 m2, ≥150 m2). This study measured the impacts of the smoking ban for restaurants.

METHODS

This study examined credit, check, or debit card sales data for every September and October from 2012 to 2015 in 711 census tracts in Seoul, South Korea. We accounted for total restaurant sales in each census tract. Our model controlled for the sales amounts for each census tract, type of restaurant, monthly business survey index, number of restaurants, daily average temperature, daily precipitation, and day of the week, and a dummy for census tract.

RESULTS

These were some positive associations with increase in total sales. However, the significance of the coefficients was not consistent over this period. Overall, our results showed no significant negative effects of smoking ban policy on restaurants.

CONCLUSIONS

Smoking ban policies produced benefits in terms of health outcomes, without causing significant negative impacts on sales.

IMPLICATIONS

Although the owners of restaurants anticipated negative impacts on sales from smoking ban policies, the results of this study suggest that restaurants experienced no negative economic impacts on sales from policies with health benefits, which suggest that it would be reasonable to promote and keep on the smoking ban. Also, it is important to apply smoking ban policy to all targets without exclusion.

Impact of Presence of Children on Indoor Tobacco Restrictions in Households of Urban and Rural Adult Tobacco Users

OBJECTIVES

Secondhand smoke exposure in children is changing as a result of new public policy and electronic nicotine products (e-cigarettes). We examined factors related to self-imposed indoor household tobacco restrictions, with emphasis on children in the household and associations with combustible and noncombustible product use.

METHODS

A cross-sectional survey of urban and rural Ohio adult tobacco users classified participants as exclusive combustible users, smokeless tobacco (SLT) users, e-cigarette users, or dual users. They were further stratified according to combustible or noncombustible product use and the presence of indoor tobacco use restrictions. Multiple logistic regression determined factors associated with indoor tobacco restrictions.

RESULTS

A total of 1210 tobacco users participated, including 25.7% with children living in the home. Half allowed combustible and two thirds allowed noncombustible tobacco use indoors. Urban location (odds ratio [OR] = 1.58), younger age (OR = 0.88 per 5 year), male sex (OR = 1.40), college education (OR = 1.40), household income of more than $15,000 (OR = 1.78), and being married (OR = 2.43) were associated with a higher likelihood of banning combustible products indoors. SLT (OR = 8.12) and e-cigarette (OR = 5.85) users were more likely to have indoor bans compared to combustible users. Children in the household (OR = 1.89), older age (OR = 1.12 per 5 years), and nonwhite race (OR = 1.68) were associated with a higher likelihood of banning noncombustible products indoors. Combustible (OR = 4.54) and e-cigarette (OR = 3.04) users were more likely than SLT users to have indoor bans.

CONCLUSIONS

Indoor restrictions on tobacco use remain infrequent in homes with children and are associated with user type and socioeconomic factors. Public policy should target modifiable risk factors for in-home secondhand smoke exposure.

Environmental triggers and avoidance in the management of asthma

Identifying asthma triggers forms the basis of environmental secondary prevention. These triggers may be allergenic or nonallergenic. Allergenic triggers include indoor allergens, such as house dust mites (HDMs), molds, pets, cockroaches, and rodents, and outdoor allergens, such as pollens and molds. Clinical observations provide support for the role of HDM exposure as a trigger, although avoidance studies provide conflicting results. Molds and their metabolic products are now considered to be triggers of asthma attacks. Pets, dogs, and especially cats can undoubtedly trigger asthmatic symptoms in sensitized subjects. Avoidance is difficult and rarely adhered to by families. Cockroach allergens contribute to asthma morbidity, and avoidance strategies can lead to clinical benefit. Mouse allergens are mostly found in inner-city dwellings, but their implication in asthma morbidity is debated. In the outdoors, pollens can induce seasonal asthma in sensitized individuals. Avoidance relies on preventing pollens from getting into the house and on minimizing seasonal outdoor exposure. Outdoor molds may lead to severe asthma exacerbations. Nonallergenic triggers include viral infections, active and passive smoking, meteorological changes, occupational exposures, and other triggers that are less commonly involved. Viral infection is the main asthma trigger in children. Active smoking is associated with higher asthma morbidity, and smoking cessation interventions should be personalized. Passive smoking is also a risk factor for asthma exacerbation. The implementation of public smoking bans has led to a reduction in the hospitalization of asthmatic children. Air pollution levels have been linked with asthmatic symptoms, a decrease in lung function, and increased emergency room visits and hospitalizations. Since avoidance is not easy to achieve, clean air policies remain the most effective strategy. Indoor air is also affected by air pollutants, such as cigarette smoke and volatile organic compounds generated by building and cleaning materials. Occupational exposures include work-exacerbated asthma and work-related asthma.

Independent and Interactive Effects of Smoking Bans and Tobacco Taxes on a Cohort of US Young Adults

OBJECTIVES

We examined the mutual effects of smoking bans and taxes on smoking among a longitudinal cohort of young adults.

METHODS

We combined a repository of US tobacco policies at the state and local level with the nationally representative geocoded National Longitudinal Survey of Youth 1997 (2004-2011) from ages 19 to 31 years and Census data, to examine the impact of tobacco policies on any current and daily pack smoking. The analytic sample amounts to 19,668 observations among 4341 individuals within 487 cities.

RESULTS

For current smoking, we found significant effects for comprehensive smoking bans, but not excise taxes. We also found an interaction effect, with bans being most effective in locales with no or low taxes. For daily pack smoking, we found significant effects for taxes, but limited support for bans.

CONCLUSIONS

Social smoking among young adults is primarily inhibited by smoking bans, but excise taxes only deter such smoking in the absence of a ban. Heavy smokers are primarily deterred by taxes. Although both policies have an impact on young adult smoking behaviors, their dual presence does not intensify each policy's efficacy.