Remediating Thirdhand Smoke Pollution in Multiunit Housing: Temporary Reductions and the Challenges of Persistent Reservoirs.

INTRODUCTION: Toxic tobacco smoke residue, also known as thirdhand smoke (THS), can persist in indoor environments long after tobacco has been smoked. This study examined the effects of different cleaning methods on nicotine in dust and on surfaces. AIMS AND METHODS: Participants had strict indoor home smoking bans and were randomly assigned to: dry/damp cleaning followed by wet cleaning 1 month later (N = 10), wet cleaning followed by dry/damp cleaning (N = 10) 1 month later, and dry/damp and wet cleaning applied the same day (N = 28). Nicotine on surfaces and in dust served as markers of THS and were measured before, immediately after, and 3 months after the cleaning, using liquid chromatography with triple quadrupole mass spectrometry (LC-MS/MS). RESULTS: Over a 4-month period prior to cleaning, surface nicotine levels remained unchanged (GeoMean change: -11% to +8%; repeated measures r = .94; p < .001). Used separately, dry/damp and wet cleaning methods showed limited benefits. When applied in combination, however, we observed significantly reduced nicotine on surfaces and in dust. Compared with baseline, GeoMean surface nicotine was 43% lower immediately after (z = -3.73, p < .001) and 53% lower 3 months later (z = -3.96, p < .001). GeoMean dust nicotine loading declined by 60% immediately after (z = -3.55, p < .001) and then increased 3 months later to precleaning levels (z = -1.18, p = .237). CONCLUSIONS: Cleaning interventions reduced but did not permanently remove nicotine in dust and on surfaces. Cleaning efforts for THS need to address persistent pollutant reservoirs and replenishment of reservoirs from new tobacco smoke intrusion. THS contamination in low-income homes may contribute to health disparities, particularly in children. IMPLICATIONS: Administered sequentially or simultaneously, the tested cleaning protocols reduced nicotine on surfaces by ~50% immediately after and 3 months after the cleaning. Nicotine dust loading was reduced by ~60% immediately after cleaning, but it then rebounded to precleaning levels 3 months later. Cleaning protocols were unable to completely remove THS, and pollutants in dust were replenished from remaining pollutant reservoirs or new secondhand smoke intrusion. To achieve better outcomes, cleaning protocols should be systematically repeated to remove newly accumulated pollutants. New secondhand smoke intrusions need to be prevented, and remaining THS reservoirs should be identified, cleaned, or removed to prevent pollutants from these reservoirs to accumulate in dust and on surfaces.

'[ ] the situation in the schools still remains the Achilles heel.' Barriers to the implementation of school tobacco policies-a qualitative study from local stakeholder's perspective in seven European cities.

School tobacco policies (STPs) are a crucial strategy to reduce adolescents smoking. Existing studies have investigated STPs predominantly from a school-related 'insider' view. Yet, little is known about barriers that are not identified from the 'schools' perspective', such as perceptions of local stakeholders. Forty-six expert interviews from seven European cities with stakeholders at the local level (e.g. representatives of regional health departments, youth protection and the field of addiction prevention) were included. The analysis of the expert interviews revealed different barriers that should be considered during the implementation of STPs. These barriers can be subsumed under the following: (i) Barriers regarding STP legislature (e.g. inconsistencies, partial bans), (ii) collaboration and cooperation problems between institutions and schools, (iii) low priority of smoking prevention and school smoking bans, (iv) insufficient human resources and (v) resistance among smoking students and students from disadvantaged backgrounds. Our findings on the expert's perspective indicate a need to enhance and implement comprehensive school smoking bans. Furthermore, collaboration and cooperation between schools and external institutions should be fostered and strengthened, and adequate human resources should be provided.

The downstream effects of state tobacco control policies on maternal smoking during pregnancy and birth outcomes.

BACKGROUND: Research has demonstrated that the implementation of tobacco control policies is associated with improved birth outcomes. Ascertainment of prenatal smoking on the US birth certificate has changed over the past decade to record smoking across each trimester. METHODS: Using 2005-2015 birth certificate data on 26,436,541 singletons from 47 states and DC linked to state-level cigarette taxes and smoke-free legislation, we conducted conditional mixed-process models to examine the impact of tobacco control policies on prenatal smoking and quitting, then on the associated changes in birth outcomes. We included interactions between race/ethnicity, education, and taxes and present average marginal effects. RESULTS: Among white and black mothers with less than a high school degree, 36.0% and 14.1%, respectively, smoked during the first trimester and their babies had the poorest birth outcomes. However, they were the most responsive to cigarette taxes. Every $1.00 increase in taxes was associated with a 3.45 percentage point decrease in prenatal smoking among white mothers and a 1.20 percentage point decrease among black mothers. These reductions translated to increases in birth weight by 4.19 g for babies born to white mothers and 0.89 g for babies born to black mothers. Among smokers, there was some evidence that taxes increased quitting and improved birth outcomes, although most associations were not statistically significant. We found limited effects of smoke-free legislation on smoking, quitting or birth outcomes. CONCLUSIONS: Cigarette taxes continue to have important downstream effects on reducing prenatal smoking and improving birth outcomes among the most vulnerable mothers and infants.

Increased adoption of smoke-free policies on campuses with schools of nursing.

BACKGROUND: In 2015, the majority of U.S. American Association of Colleges of Nursing (AACN)-accredited schools of nursing resided on campuses without smoke-free policies. PURPOSE: To determine the presence of smoke-free policies at AACN-accredited after resolutions from AACN and the American Academy of Nursing, and the creation of online resources. METHODS: Smoke-free policies (2015-2017) were determined through listings on the ANRF College Campus Policy Database© and survey responses from nursing deans. RESULTS: Smoke-free policies for 689 schools of nursing increased from 36% in 2015 to 91% in 2017. There were no significant differences by nursing program types or geographic area. Twenty percent of deans reported using the resources, with over 1700-page views. CONCLUSION: Smoke-free policies increased after support from two national nursing organizations. Learning in a smoke-free environment should be an expectation for nursing students to protect their own health, and to support their future critical role in tobacco control.

Steps Toward Scalability: Illustrations From a Smoke-Free Homes Program.

Scalable interventions remain effective across a range of real-world settings and can be modified to fit organizational and community context. "Smoke-Free Homes: Some Things are Better Outside" has been effective in promoting smoke-free home rules in low-income households in efficacy, effectiveness, generalizability, and dissemination studies. Using data from a dissemination study in collaboration with five 2-1-1 call centers in Ohio, Florida, Oklahoma, and Alabama (n = 2,345 households), this article examines key dimensions of scalability, including effectiveness by subpopulation, secondary outcomes, identification of core elements driving effectiveness, and cost-effectiveness. Evaluated by 2-1-1 staff using a pre-post design with self-reported outcomes at 2 months postbaseline, the program was equally effective for men and women, across education levels, with varying number of smokers in the home, and whether children were present in the home or not. It was more effective for nonsmokers, those who smoked fewer cigarettes per day, and African Americans. Creating a smoke-free home was associated with a new smoke-free vehicle rule (odds ratio [OR] = 3.38, confidence interval [CI 2.58, 4.42]), decreased exposure to secondhand smoke among nonsmokers (b = -2.33, p < .0001), and increased cessation among smokers (OR = 5.8, CI [3.81, 8.81]). Use of each program component was significantly associated with success in creating a smoke-free home. Using an intent-to-treat effect size of 40.1%, program benefits from 5 years of health care savings exceed program costs yielding a net savings of $9,633 for delivery to 100 households. Cost effectiveness, subpopulation analyses, and identification of core elements can help in assessing the scalability potential of research-tested interventions such as this smoke-free homes program.

Impact of the Spanish smoke-free laws on cigarette sales, 2000-2015: partial bans on smoking in public places failed and only a total tobacco ban worked.

In January 2006, the Spanish government enacted a tobacco control law that banned smoking in bars and restaurants, with exceptions depending on the floor space of the premises. In January 2011, further legislation in this area was adopted, removing these exceptions. We analyse the effect produced on cigarette sales by these two bans. We approach this problem using an interrupted time series analysis while accounting for the potential effects of autocorrelation and seasonality. The data source used was the official data on legal sales of tobacco in Spain, from January 2000 to December 2015 (excluding the Canary Islands and the autonomous cities of Ceuta and Melilla). As confounder variables, we use the log-transformed average prices for manufactured and hand-rolled cigarettes (or the average minimum excise tax as a proxy), and log-transformed real-household disposable income. The implementation of a total smoke-free ban in Spain was associated with an immediate reduction in cigarette sales between 9% to 11%. In contrast, in the period immediately following the partial ban, no such reduction was detected, beyond the trend already present. Our results indicate that, in Spain, partial bans on smoking in public places failed, and that only a total tobacco ban worked.

One size fits all? Disentangling the effects of tobacco taxes, laws, and control spending on adult subgroups in the United States.

Background: To determine the relative impact of each of the 3 state-level tobacco control policies (cigarette taxation, tobacco control spending, and smoke-free air [SFA] laws) on adult smoking rate overall and separately for adult subgroups in the United States. Methods: A difference-in-differences analysis was conducted with generalized propensity scores. State-level policies were merged with the individual-level Behavioral Risk Factor Surveillance System in 1995-2009. Results: State cigarette taxation was the only policy that significantly impacted smoking among the general adult population, with a 1-standard deviation increase in taxes (i.e., $0.68 in constant 2014 dollars) lowering the adult smoking rate by about a quarter of a percentage point. The taxation impact was consistent, regardless of the presence of, or interactions with, other policies. Taxation was also the only policy that significantly reduced smoking for some adult subgroups, including females, non-Hispanic whites, adults aged 51 or older, and adults with more than a high school education. However, other adult subgroups responded to the other 2 types of policies, either by mediating the taxation effect or by reducing smoking independently. Specifically, tobacco control spending reduced smoking among young adults (ages 18-25 years) and Hispanics. SFA laws affected smoking among men, young adults, non-Hispanic blacks, and Hispanics. Conclusions: State cigarette taxation is the single most important policy for reducing smoking among the general adult population. However, adult subgroups' reactions to taxes are diverse and mediated by tobacco control spending and SFA laws.

"You Want Your Guests to Be Happy in This Business": Hoteliers' Decisions to Adopt Voluntary Smoke-Free Guest-Room Policies.

PURPOSE: To explore why some hotels have implemented 100% smoke-free policies voluntarily, the perceived consequences of doing so, and media responses. DESIGN: Qualitative study of hotel management and quantitative content analysis of media coverage of smoke-free hotels. SETTING: Hotels and media based in the United States. PARTICIPANTS: Eleven representatives of 5 independent and 4 chain hotels. Other data included 265 news items about smoke-free hotels. METHOD: We conducted 30-minute semi-structured interviews with hotel representatives and analyzed the data using qualitative content analysis. We also searched 3 online news databases for news items about hotels in our study, and collaboratively coded retrieved items; we analyzed the content and slant of news items. RESULTS: Business considerations, including guest requests, competitor action, and cost savings, were the primary motivations for implementing 100% smoke-free guest-room policies. Health concerns played a minimal role. Hotels received positive feedback from customers and employees. Media coverage was favorable, emphasizing positive aspects of going smoke-free; the overall slant of news items was positive or neutral. However, few hotels marketed the change. CONCLUSIONS: Since hotel customers and employees are likely to experience long periods of smoke exposure and smoke-free hotels appear to be so well received, it may be timely to pursue policies making all hotels smoke-free.

Key Factors Inhibiting Legislative Progress Toward Smoke-Free Coverage in Appalachia.

The Appalachian Region has among the highest rates of smoking and smoking-related illness in the United States. Strong smoke-free legislation could help protect nonsmoking residents from the harmful effects of secondhand smoke. However, there is a dearth of state, county, city, and subcounty smoke-free law coverage throughout Appalachia. As of July 2016, only 21% of Appalachian residents were covered by comprehensive smoke-free laws (i.e., 100% coverage for workplaces, restaurants, and bars). Only 46% of Appalachians lived in places with 100% smoke-free workplace laws, only 30% lived in places with 100% smoke-free restaurant laws, and only 29% lived in places with 100% smoke-free bar laws. Reasons for this lack of smoke-free law coverage include socioeconomic disadvantage, the historical importance of tobacco in Appalachian economies, and preemptive state legislation. By understanding the contextual issues that have inhibited smoke-free legislation, smoke-free advocates will be better prepared to lead efforts that expand smoke-free coverage in this region.

Public smoking ban and socioeconomic inequalities in smoking prevalence and cessation: a cross-sectional population-based study in Geneva, Switzerland (1995-2014).

INTRODUCTION: Smoking bans were suggested to reduce smoking prevalence and increase quit ratio but their equity impact remains unclear. We aimed to characterise the socioeconomic status (SES)-related inequalities in smoking prevalence and quit ratio before and after the implementation of a public smoking ban. METHODS: We included data from 17 544 participants in the population-based cross-sectional Bus Santé study in Geneva, Switzerland, between 1995 and 2014. We considered educational attainment (primary, secondary and tertiary) as a SES indicator. Outcomes were smoking prevalence (proportion of current smokers) and quit ratio (ex-smokers to ever-smokers ratio). We used segmented linear regression to assess the overall impact of smoking ban on outcome trends. We calculated the relative (RII) and slope (SII, absolute difference) indexes of inequality, quantifying disparities between educational groups in outcomes overall (1995-2014), before and after ban implementation (November 2009). RESULTS: Least educated participants displayed higher smoking prevalence (RII=2.04, P<0.001; SII=0.15, P<0.001) and lower quit ratio (RII=0.73, P<0.001; SII=-0.18, P<0.001). As in other studies, smoking ban implementation coincided with a temporary reduction of smoking prevalence (P=0.003) and increase in quit ratio (P=0.02), with a progressive return to preban levels. Inequalities increased (P<0.05) in relative terms for smoking prevalence (RIIbefore=1.84, P<0.001 and RIIafter=3.01, P<0.001) and absolute terms for both outcomes (smoking prevalence: SIIbefore=0.14, P<0.001 and SIIafter=0.19, P<0.001; quit ratio: SIIbefore=-0.15, P<0.001 and SIIafter=-0.27, P<0.001). CONCLUSIONS: Implementation of a public smoking ban coincided with a short-lived decrease in smoking prevalence and increase in quit ratio but also with a widening in SES inequalities in smoking-related outcomes.

Solving the problem of smoking in the Polish enterprises during 2003-2015.

OBJECTIVES: Tobacco smoking is a major organizational, economical, and public relations-related (PR-related) problem for the company. Moreover, it is an important health determinant of the working population. The paper reports the results of the research which analyzed the current state and the tobacco control activities' transformations undertaken by Polish employers between 2003 and 2015. MATERIAL AND METHODS: Data comes from the research performed in 2006, 2010 and 2015, involving random- selected representative samples of Polish enterprises, employing no fewer than 50 employees. The sampling pattern covered location and classification of activities (excluding public administration, national defense, social security, education, health care and social assistance sectors). Consecutive interviews were conducted with representatives of 611, 1002 and 1000 companies, respectively. RESULTS: The companies improved their compliance with the national regulations on smoking in the workplace. The strategy for limiting smoking in public places resulted in a steady increase in the number of companies (11%, 23%, 38%, respectively) that introduced smoking ban. Approximately in every second company, smoking was allowed only in the smoking room or outdoors. Voluntary activities (e.g., education and support for employees wishing to cease smoking) were very rarely undertaken by medium and large companies (several percent) and since 2010, when the law had become more restrictive, such tendency reinforced. Employers also were seldom interested in the prevalence of tobacco smoking among their personnel, its consequences for the company's functioning and the effectiveness of the implemented tobacco control measures. CONCLUSIONS: National anti-smoking policy caused that companies were more focused on smoking-bans at the expense of education and support for those who wanted to cease smoking. Although this contributes to reducing secondary smoking in the workplace, the companies' potential to become a major agent for tobacco control policies is neglected while the downward trend of smoking in the Polish society has slowed down. Int J Occup Med Environ Health 2018;31(3):261-280.

Impact of five tobacco endgame strategies on future smoking prevalence, population health and health system costs: two modelling studies to inform the tobacco endgame.

OBJECTIVE: There is growing international interest in advancing 'the tobacco endgame'. We use New Zealand (Smokefree goal for 2025) as a case study to model the impacts on smoking prevalence (SP), health gains (quality-adjusted life-years (QALYs)) and cost savings of (1) 10% annual tobacco tax increases, (2) a tobacco-free generation (TFG), (3) a substantial outlet reduction strategy, (4) a sinking lid on tobacco supply and (5) a combination of 1, 2 and 3. METHODS: Two models were used: (1) a dynamic population forecasting model for SP and (2) a closed cohort (population alive in 2011) multistate life table model (including 16 tobacco-related diseases) for health gains and costs. RESULTS: All selected tobacco endgame strategies were associated with reductions in SP by 2025, down from 34.7%/14.1% for Maori (indigenous population)/non-Maori in 2011 to 16.0%/6.8% for tax increases; 11.2%/5.6% for the TFG; 17.8%/7.3% for the outlet reduction; 0% for the sinking lid; and 9.3%/4.8% for the combined strategy. Major health gains accrued over the remainder of the 2011 population's lives ranging from 28 900 QALYs (95% Uncertainty Interval (UI)): 16 500 to 48 200; outlet reduction) to 282 000 QALYs (95%UI: 189 000 to 405 000; sinking lid) compared with business-as-usual (3% discounting). The timing of health gain and cost savings greatly differed for the various strategies (with accumulated health gain peaking in 2040 for the sinking lid and 2070 for the TFG). CONCLUSIONS: Implementing endgame strategies is needed to achieve tobacco endgame targets and reduce inequalities in smoking. Given such strategies are new, modelling studies provide provisional information on what approaches may be best.

E-cigarette use and support for banning e-cigarette use in public places in the European Union.

We investigated the factors associated with support for banning e-cigarette use in public places in the European Union (EU) and how this varies by socio-demographic determinants, use of tobacco, ever use of e-cigarettes and their perceived harm. Data are from the representative Special Eurobarometer for Tobacco survey performed in 2014 (n=27,801) in 28 EU member states. Analyses were conducted separately by tobacco use status (never, current, and former smokers) and e-cigarette experimentation status. 70.9% of never smokers, 63.1% of former smokers and 45.7% of current smokers in the EU supported a ban on the use of e-cigarettes in public places. In all groups, support for banning e-cigarettes in public places was lower among those who had experimented with e-cigarettes (adjusted odds ratios (aOR) 0.43 vs. 0.50 vs. 0.61, among never, current and former smokers respectively) and higher among those who perceived e-cigarettes as harmful (aORs 2.49 vs 2.35 vs. 2.40, among never, current and former smokers respectively). 40.5% of those who had experimented with e-cigarettes supported a ban on use in public places, although levels of support were lower among those who started using e-cigarettes in order to circumvent existing smoking bans (aOR 0.54, 95% Confidence Interval 0.45-0.64). Bans of e-cigarette use in public places in Europe have high levels of public support even among former and current tobacco smokers, although this does vary across population groups. As legislators consider approaches to e-cigarette use, public opinion is likely to become more important to the passing and enforcement of any legislation.

Towards a smoke-free generation.

Essential facts Currently just over 15% of adults in the UK smoke, the lowest level since records began. However, smoking remains the single biggest cause of preventable deaths, with more than 200 every day.

Children's exposure to secondhand smoke at home before and after smoke-free legislation in Taiwan.

INTRODUCTION: In January 2009, Taiwan broadened smoke-free legislation, requiring mass transportation systems, indoor public areas and indoor workplaces with 3 or more people, to become smoke-free. We investigated the secondhand smoke (SHS) exposure at home for children aged 3-11 years in Taiwan before and after the implantation of the legislation. METHODS: We studied 7911 children from the 2005, 2009 and 2013 National Health Interview Surveys (cross-sectional, nationally representative household surveys). Logistic regression modelling estimated adjusted ORs (AOR) and 95% CIs for children's SHS exposure at home in 2009 and 2013 (2005 as reference) for the overall sample and for each category of household socioeconomic status (SES) and household composition. RESULTS: Prevalence of children SHS exposure at home decreased from 51% (2005) to 32% (2009) and 28% (2013). Compared to 2005, children in 2009 and 2013 had lower likelihoods of SHS exposure at home with AOR of 0.45 (95% CI 0.41 to 0.51) and 0.41 (95% CI 0.36 to 0.46), respectively. All children had reduced SHS exposure at home after the legislation, irrespective of household SES and compositions. Low household income, low parental education level, living with grandparents or living with other adults was individually associated with increased SHS exposure. DISCUSSION: The proportion of children exposed to SHS at home in Taiwan declined substantially from 2005 to 2009 after smoke-free legislation, and fell further by 2013, irrespective of SES and household compositions. Still, inequality in SHS exposure at home by SES and household composition warrants future research.

Stuck in Neutral: Stalled Progress in Statewide Comprehensive Smoke-Free Laws and Cigarette Excise Taxes, United States, 2000-2014.

INTRODUCTION: Increasing tobacco excise taxes and implementing comprehensive smoke-free laws are two of the most effective population-level strategies to reduce tobacco use, prevent tobacco use initiation, and protect nonsmokers from secondhand smoke. We examined state laws related to smoke-free buildings and to cigarette excise taxes from 2000 through 2014 to see how implementation of these laws from 2000 through 2009 differs from implementation in more recent years (2010-2014). METHODS: We used legislative data from LexisNexis, an online legal research database, to examine changes in statewide smoke-free laws and cigarette excise taxes in effect from January 1, 2000, through December 31, 2014. A comprehensive smoke-free law was defined as a statewide law prohibiting smoking in all indoor areas of private work sites, restaurants, and bars. RESULTS: From 2000 through 2009, 21 states and the District of Columbia implemented comprehensive smoke-free laws prohibiting smoking in work sites, restaurants, and bars. In 2010, 4 states implemented comprehensive smoke-free laws. The last state to implement a comprehensive smoke-free law was North Dakota in 2012, bringing the total number to 26 states and the District of Columbia. From 2000 through 2009, 46 states and the District of Columbia implemented laws increasing their cigarette excise tax, which increased the national average state excise tax rate by $0.92. However, from 2010 through 2014, only 14 states and the District of Columbia increased their excise tax, which increased the national average state excise tax rate by $0.20. CONCLUSION: The recent stall in progress in enacting and implementing statewide comprehensive smoke-free laws and increasing cigarette excise taxes may undermine tobacco prevention and control efforts in the United States, undercutting efforts to reduce tobacco use, exposure to secondhand smoke, health disparities, and tobacco-related illness and death.

Assessment of Residents' Attitudes and Satisfaction Before and After Implementation of a Smoke-Free Policy in Boston Multiunit Housing.

INTRODUCTION: In 2012, the Boston Housing Authority (BHA) in Massachusetts implemented a smoke-free policy prohibiting smoking within its residences. We sought to characterize BHA resident experiences before and after the smoke-free policy implementation, and compare them to that of nearby residents of the Cambridge Housing Authority, which had no such policy. METHODS: We recruited a convenience sample of nonsmoking residents from the BHA and Cambridge Housing Authority. We measured residents' awareness and support of their local smoking policies before and 9-12 months after the BHA's policy implementation, as well as BHA respondents' attitudes towards the smoke-free policy. We assessed tobacco smoke exposure via saliva cotinine, airborne apartment nicotine, and self-reported number of days smelling smoke in the home. We evaluated predictors of general satisfaction at follow-up using linear regression. RESULTS: At follow-up, 91% of BHA respondents knew that smoking was not allowed in apartments and 82% were supportive of such a policy in their building. BHA residents believed enforcement of the smoke-free policy was low. Fifty-one percent of BHA respondents indicated that other residents "never" or "rarely" followed the new smoke-free rule and 41% of respondents were dissatisfied with policy enforcement. Dissatisfaction with enforcement was the strongest predictor of general housing satisfaction, while objective and self-reported measures of tobacco smoke exposure were not predictive of satisfaction. At follow-up, 24% of BHA participants had complained to someone in charge about policy violations. CONCLUSIONS: Resident support for smoke-free policies is high. However, lack of enforcement of smoke-free policies may cause frustration and resentment among residents, potentially leading to a decrease in housing satisfaction. IMPLICATIONS: Smoke-free housing laws are becoming increasingly prevalent, yet little is known about satisfaction and compliance with such policies post-implementation. We evaluated nonsmoking residents' attitudes about smoke-free rules and their satisfaction with enforcement 1 year after the BHA implemented its comprehensive smoke-free policy. We found that while residents were supportive of the policy, they believed enforcement was low, a perception that was associated with a drop in housing satisfaction. Our findings point to a desire for smoke-free housing among public housing residents, and the importance of establishing systems and guidelines to help landlords monitor and enforce these policies effectively.