Attitudes and experiences with secondhand smoke and smoke-free policies among subsidised and market-rate multiunit housing residents living in six diverse communities in the USA

Secondhand smoke exposure and associated factors among city residents living in multiunit housing in Bangladesh

BACKGROUND

Secondhand smoke (SHS) poses a high health risk to those living in multiunit housing (MUH) since it can easily spread from unit to unit and throughout the building's communal areas. MUH residents in Bangladesh are particularly vulnerable to SHS due to the absence of smoking restrictions within a housing complex. Therefore, this study aimed to assess the prevalence of SHS exposure and its associated factors among MUH residents living in seven divisional cities of Bangladesh- Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur.

METHODS

From April 2019 to November 2019, a cross-sectional survey was conducted with 616 MUH residents aged 18 or older who had been residing in MUH for at least two years in the seven divisional cities of Bangladesh. A multivariable logistic regression model was performed to determine the associated factors of SHS exposure.

RESULTS

In MUH complexes, more than half (54.9%) of the 616 respondents were exposed to SHS. The key factors positively associated with SHS exposure were females (aOR: 1.8, 95% CI:1.236-2.681), residents with a low monthly family income (aOR: 1.9, 95% CI: 1.162-3.220), those whose family members smoked (aOR: 2.4, 95% CI: 1.537-3.746), and Dhaka city residents (aOR: 1.9, 95% CI: 1.013-3.440).

CONCLUSIONS

This study revealed a high prevalence of SHS exposure among Bangladeshi MUH residents. Therefore, a smoking ban is needed in and around MUH complexes to protect non-smoking residents from SHS exposure.

Disparities in Smokefree and Vapefree Home Rules and Smokefree Policy Attitudes Based on Housing Type and Cigarette Smoking Status, United States, 2019

This study examined variations in cigarette smoking status, home smoking and vaping rules, and attitudes toward smoking rules among U.S. adults. We analyzed data from the 2019 U.S. Census Bureau's Current Population Survey Supplements (n = 40,296 adults) and calculated weighted prevalence estimates of adult cigarette smoking based on housing type. In 2019, multi-unit housing (MUH) residents who currently smoked were predominantly residents of privately rented housing (66.9%), followed by privately owned (17.6%) and public housing (15.5%). MUH residents who currently smoked had the highest proportions of allowing smoking (26.7%) or vaping (29.1%) anywhere inside their homes and were least likely to support rules allowing smoking inside all MUH apartments or living areas. In the adjusted models, MUH residents with a current smoking status were 92% less likely to have a complete smoking ban. More than one in four MUH residents with a current smoking status allowed all smoking inside the home and supported allowing smoking inside all MUH apartment or living areas, reinforcing how MUH residents may be at higher risk of experiencing secondhand smoke or aerosol exposure, or incursions within their places of residence. Our results can inform the development, implementation, and sustainment of strategies to reduce exposures from tobacco and nicotine products in all living environments.

Public support for smoke-free policies in outdoor areas and (semi-)private places: a systematic review and meta-analysis

Background

Smoke-free policies are essential to protect people against tobacco smoke exposure. To successfully implement smoke-free policies that go beyond enclosed public places and workplaces, public support is important. We undertook a comprehensive systematic review of levels and determinants of public support for indoor (semi-)private and outdoor smoke-free policies.

Methods

In this systematic review and meta-analysis, six electronic databases were searched for studies (published between 1 January 2004 and 19 January 2022) reporting support for (semi-)private and outdoor smoke-free policies in representative samples of at least 400 respondents aged 16 years and above. Two reviewers independently extracted data and assessed risk of bias of individual reports using the Mixed Methods Appraisal Tool. The primary outcome was proportion support for smoke-free policies, grouped according to location covered. Three-level meta-analyses, subgroup analyses and meta-regression were performed.

Findings

14,749 records were screened, of which 107 were included; 42 had low risk of bias and 65 were at moderate risk. 99 studies were included in the meta-analyses, reporting 326 measures of support from 896,016 individuals across 33 different countries. Support was pooled for indoor private areas (e.g., private cars, homes: 73%, 95% confidence interval (CI): 66-79), indoor semi-private areas (e.g., multi-unit housing: 70%, 95% CI: 48-86), outdoor hospitality areas (e.g., café and restaurant terraces: 50%, 95% CI: 43-56), outdoor non-hospitality areas (e.g., school grounds, playgrounds, parks, beaches: 69%, 95% CI: 64-73), outdoor semi-private areas (e.g., shared gardens: 67%, 95% CI: 53-79) and outdoor private areas (e.g., private balconies: 41%, 95% CI: 18-69). Subcategories showed highest support for smoke-free cars with children (86%, 95% CI: 81-89), playgrounds (80%, 95% CI: 74-86) and school grounds (76%, 95% CI: 69-83). Non-smokers and ex-smokers were more in favour of smoke-free policies compared to smokers. Support generally increased over time, and following implementation of each smoke-free policy.

Interpretation

Our findings suggested that public support for novel smoke-free policies is high, especially in places frequented by children. Governments should be reassured about public support for implementation of novel smoke-free policies.

Funding

Dutch Heart Foundation, Lung Foundation Netherlands, Dutch Cancer Society, Dutch Diabetes Research Foundation and Netherlands Thrombosis Foundation.

A Matched Analysis of the Association Between Federally Mandated Smoke-Free Housing Policies and Health Outcomes Among Medicaid-Enrolled Children in Subsidized Housing, New York City, 2015-2019

Smoke-free housing policies are intended to reduce the deleterious health effects of secondhand smoke exposure, but there is limited evidence regarding their health impacts. We examined associations between implementation of a federal smoke-free housing rule by the New York City Housing Authority (NYCHA) and pediatric Medicaid claims for asthma, lower respiratory tract infections, and upper respiratory tract infections in the early post-policy intervention period. We used geocoded address data to match children living in tax lots with NYCHA buildings (exposed to the policy) to children living in lots with other subsidized housing (unexposed to the policy). We constructed longitudinal difference-in-differences models to assess relative changes in monthly rates of claims between November 1, 2015, and December 31, 2019 (the policy was introduced on July 30, 2018). We also examined effect modification by baseline age group (≤2, 3-6, or 7-15 years). In New York City, introduction of a smoke-free policy was not associated with lower rates of Medicaid claims for any outcomes in the early postpolicy period. Exposure to the smoke-free policy was associated with slightly higher than expected rates of outpatient upper respiratory tract infection claims (incidence rate ratio = 1.05, 95% confidence interval: 1.01, 1.08), a result most pronounced among children aged 3-6 years. Ongoing monitoring is essential to understanding long-term health impacts of smoke-free housing policies.

Invited Commentary: Use of Epidemiologic Methods to Guide Comprehensive and Equitable Approaches to Policy

Despite a dramatic reduction in the prevalence of commercial cigarette smoking in the United States, children are still commonly exposed to secondhand smoke (SHS), which is a cause of various pediatric health problems. Further, SHS exposure is patterned by race and class, exacting an inequitable toll on children from families with lesser social and economic advantage. In this issue of the Journal, Titus et al. (Am J Epidemiol. 2023;192(1):25-33) use natural experiment evaluation methods (difference-in-differences) to test whether the recently implemented US Department of Housing and Urban Development policy that forbade smoking in and around New York City Housing Authority buildings affected child respiratory health. The results from their work remind us that policies do not always impact outcomes as we might expect. Given that policy is one of the most potent tools for population health promotion, this work underlines the need for epidemiologists to engage in policy evaluation at all stages of the policy life cycle, in order to discover comprehensive approaches to policy development and implementation that prioritize equity and address structural racism.

Machine learning applications in tobacco research: a scoping review

OBJECTIVE

Identify and review the body of tobacco research literature that self-identified as using machine learning (ML) in the analysis.

DATA SOURCES

MEDLINE, EMABSE, PubMed, CINAHL Plus, APA PsycINFO and IEEE Xplore databases were searched up to September 2020. Studies were restricted to peer-reviewed, English-language journal articles, dissertations and conference papers comprising an empirical analysis where ML was identified to be the method used to examine human experience of tobacco. Studies of genomics and diagnostic imaging were excluded.

STUDY SELECTION

Two reviewers independently screened the titles and abstracts. The reference list of articles was also searched. In an iterative process, eligible studies were classified into domains based on their objectives and types of data used in the analysis.

DATA EXTRACTION

Using data charting forms, two reviewers independently extracted data from all studies. A narrative synthesis method was used to describe findings from each domain such as study design, objective, ML classes/algorithms, knowledge users and the presence of a data sharing statement. Trends of publication were visually depicted.

DATA SYNTHESIS

74 studies were grouped into four domains: ML-powered technology to assist smoking cessation (n=22); content analysis of tobacco on social media (n=32); smoker status classification from narrative clinical texts (n=6) and tobacco-related outcome prediction using administrative, survey or clinical trial data (n=14). Implications of these studies and future directions for ML researchers in tobacco control were discussed.

CONCLUSIONS

ML represents a powerful tool that could advance the research and policy decision-making of tobacco control. Further opportunities should be explored.

Disparities in Marijuana and Tobacco Smoke Incursions Among New York City Families During Early Months of the COVID-19 Pandemic

OBJECTIVES

Once the COVID-19 pandemic arrived in New York City (NYC), stay-at-home orders led to more time spent indoors, potentially increasing exposure to secondhand marijuana and tobacco smoke via incursions from common areas or neighbors. The objective of this study was to characterize housing-based disparities in marijuana and tobacco incursions in NYC housing during the pandemic.

DESIGN

We surveyed a random sample of families from May to July 2020 and collected sociodemographic data, housing characteristics, and the presence, frequency, and pandemic-related change in incursions.

SETTING

Five pediatric practices affiliated with a large NYC health care system.

PARTICIPANTS

In total, 230 caregivers of children attending the practices.

MAIN OUTCOME MEASURES

Prevalence and change in tobacco and marijuana smoke incursions.

RESULTS

Tobacco and marijuana smoke incursions were reported by 22.9% and 30.7%, respectively. Twenty-two percent of families received financial housing support (public housing, Section-8). Compared with families in private housing, families with financial housing support had 3.8 times the odds of tobacco incursions (95% CI, 1.4-10.1) and 3.7 times the odds of worsening incursions during pandemic (95% CI, 1.1-12.5). Families with financially supported housing had 6.9 times the odds of marijuana incursions (95% CI, 2.4-19.5) and 5 times the odds of worsening incursions during pandemic (95% CI, 1.9-12.8). Children in financially supported housing spent more time inside the home during pandemic (median 24 hours vs 21.6 hours, P = .02) and were more likely to have asthma (37% vs 12.9%, P = .001) than children in private housing.

CONCLUSIONS

Incursions were higher among families with financially supported housing. Better enforcement of existing regulations (eg, Smoke-Free Public Housing Rule) and implementation of additional policies to limit secondhand tobacco and marijuana exposure in children are needed. Such actions should prioritize equitable access to cessation and mental health services and consider structural systems leading to poverty and health disparities.

Policy Support for Smoke-Free and E-Cigarette Free Multiunit Housing

PURPOSE

Estimate public support for prohibiting multiunit housing (MUH) e-cigarette and cigarette use.

DESIGN

Cross-sectional study.

SETTING

Data from an online panel survey.

SAMPLE

A Fall 2018 nationally representative sample of 3,415 (99.3% response rate) United States (US) adults 18-64 years old.

MEASURES

Policy support for prohibiting MUH smoking and e-cigarette use, sociodemographics, and tobacco perceptions and behaviors.

ANALYSIS

Weighted multivariate logistic regression examined predictors of support for prohibiting 1) cigarette use and 2) e-cigarette use in MUH.

RESULTS

Most respondents expressed support for prohibiting smoking (76.9%) and e-cigarette use (74.0%) in MUH. About 17% (n = 588) of the sample lived in MUH, and living in MUH was not predictive of support for either policy. For both cigarette and e-cigarette policies, current smokers (n = 630; OR = 0.44, p < 0.001; OR = 0.59, p < 0.01) and current e-cigarette users (n = 305; OR = 0.42, p < 0.001; OR = 0.22, p < 0.001) had lower odds of support. Notably, while most smokers supported prohibiting cigarette (51.4%) and e-cigarette use in MUH (51.1%), there was less support among current e-cigarette users for prohibiting cigarette (48.1%) and e-cigarette use in MUH (34.5%).

CONCLUSION

Majority support for prohibiting smoking and e-cigarette use in MUH is promising for policy adoption; however, lower support of both policies among e-cigarette users needs to be examined, as increasing use of e-cigarettes may be shifting social norms away from support for smoke free housing policies.

An examination of social and environmental determinants of secondhand smoke exposure among non-smoking adolescents

INTRODUCTION

Adolescents are at increased risk of secondhand smoke exposure (SHS) due to the limited control that they have over social and physical environments. Yet, knowledge regarding determinants of SHS among non-smoking adolescents is limited. This study identifies social and environmental factors associated with SHS among non-smoking adolescents.

METHODS

To be included, parents and adolescents (aged 11–17 years) of the Adolescents, Place, and Behavior Study had to have completed surveys between March 2019 and May 2020. Adolescents had to have not reported smoking within the past 30 days and provided a saliva sample assayed for cotinine (≤3 ng/mL). A series of stepwise linear regression models were fit to the data to identify social and environmental determinants of SHS, using log-transformed salivary cotinine.

RESULTS

Of the 105 adolescent and parent dyads included, 90.3% were African American, 26.9% of parents reported smoking, 33.3% resided in multi-unit housing, and 67.7% lived in homes where smoking was not permitted. Significant associations were found between parent tobacco use (β=2.56, SE=0.98, p=0.0082) and residing in multi-unit housing (β=1.72, SE=0.86, p=0.0460) with increased log-transformed cotinine levels among non-smoking adolescents. Adolescent age, gender, and race/ ethnicity, parental education, peer tobacco use, the number of adults and children in the home, average number of days of self-reported SHS within public spaces outside of the home, and home smoking policies were not significantly associated with cotinine.

CONCLUSIONS

Results emphasize the importance of reducing secondhand smoke exposure by reducing parental smoking and altering exposures within social and home environments. Parental tobacco use and residential setting should be considered when developing interventions to reduce secondhand smoke exposure among non-smoking adolescents.

Self-Reported Exposure to Secondhand Smoke and Support for Complete Smoking Bans in Multiunit Housing Among Smokers in the United States, Canada, and the United Kingdom

Introduction

Involuntary exposure to secondhand smoke most frequently occurs at home, which is problematic for residents of multiunit housing (MUH). The primary objective of this study was to estimate the extent of secondhand smoke incursions into the homes of MUH smokers who banned smoking in their homes but lived in buildings where smoking is allowed.

Methods

We used data from Wave 9 of the International Tobacco Control Four Country Survey. We estimated 1) the prevalence of complete smoking bans among smokers living in single-family homes vs MUH in the United States (n = 3,208), Canada (n = 1,592), and the United Kingdom (n = 1,403) from 2013 to 2015; 2) the extent of secondhand smoke incursions into the homes of MUH smokers who banned smoking in their units but lived in buildings that allow smoking; and 3) MUH smokers’ preferences for complete smoking bans in MUH. Weighted multivariable logistic regression estimated the country-specific adjusted prevalence of all outcomes.

Results

Overall, 53.0% of smokers living in single-family homes completely banned smoking in their homes, compared with 44.8% of smokers in MUH. Across all 3 countries, only 27.8% of MUH smokers reported that smoking was completely prohibited in their building. A similar percentage of MUH smokers who banned smoking in their home but lived in buildings allowing smoking reported a secondhand smoke incursion into their home in the United States (29.9%; 95% CI, 20.4%–41.5%), Canada (38.4%; 95% CI, 26.7%–51.6%), and the United Kingdom (24.7%; 95% CI, 15.7%–36.7%). Across all 3 countries, 36.1% (95% CI, 33.4%–38.9%) of smokers in MUH reported they preferred a complete smoking ban in all building areas.

Conclusion

A need remains to educate MUH operators and residents about the benefits of comprehensive smoke-free policies.

Inter-zonal airflow in multi-unit residential buildings: A review of the magnitude and interaction of driving forces, measurement techniques and magnitudes, and its impact on building performance

Inter-zonal airflows within multi-unit residential buildings (MURBs) have profound impacts on an array of building performance metrics, including energy, indoor air quality (IAQ), fire and acoustical separations, and distribution of ventilation air. Although there are wide-ranging implications, most building codes/standards have yet to incorporate airtightness requirements for interior partitions in large, multi-zone structures, and instead focus primarily on exterior envelope airtightness. Despite the multi-disciplinary nature of the topic, previous reviews have been limited to one domain (eg, energy performance, IAQ, specific test methods). This paper presents a comprehensive summary of the literature on inter-zonal airflow in MURBs including the magnitude and interaction of driving forces; its relevance to/effect on building performance; current code requirements; testing methods; and previous measurements. While considerable efforts have been made in recent years to quantify and control inter-zonal airflows, most measurement techniques are still labor-intensive and disruptive, and there is no framework for how to implement performance-based requirements into building codes and standards. Further research efforts should be focused on refining testing methods and preparing the construction industry for code changes.

Impact of population tobacco control interventions on socioeconomic inequalities in smoking: a systematic review and appraisal of future research directions

BACKGROUND

While price increases and targeted cessation support have been found to reduce inequalities in smoking by socioeconomic status (SES), evidence on other measures is mixed. We aimed to update the most recent (2014) previous review by identifying and appraising evidence published since 2013 on the equity impact of population tobacco control measures.

METHODS

Systematic searching of 10 electronic databases and hand-searching of four key journals identified 68 primary research articles published since 2013 that sought to examine the equity impact of population tobacco control measures in high-income countries with a negative socioeconomic gradient in smoking. Reported equity impacts were categorised as positive (greater impact among lower SES), neutral (no difference by SES), negative (greater impact among higher SES) or mixed/unclear.

RESULTS

There was substantial growth in research seeking to evaluate the equity impact of tobacco control interventions, but the majority of new studies showed mixed/unclear results. Findings for price increases and targeted cessation support continue to suggest an equity-positive impact, but limitations in the available evidence make further assessment difficult. Substantial differences in the context, scale and implementation of tobacco control policies make straightforward comparison of findings from the previous 2014 and current reviews problematic.

CONCLUSION

Researchers need to adopt more sophisticated, multidisciplinary approaches in evaluating the equity impact of tobacco control measures-developing robust measures of equity effect and using frameworks that take account of context, existing systems/processes and the likely mechanisms of action. Socioeconomic differences in intervention impact within low-income and middle-income countries require evaluation.

Persistent tobacco smoke residue in multiunit housing: Legacy of permissive indoor smoking policies and challenges in the implementation of smoking bans

Secondhand smoke (SHS) is a common indoor pollutant in multiunit housing (MUH). It is also the precursor of thirdhand smoke (THS), the toxic mixture of tobacco smoke residue that accumulates in indoor environments where tobacco has been used. This study examined the levels, distribution, and factors associated with THS pollution in low-income MUH. Interviews were conducted 2016-2018 in a cross-sectional study of N = 220 MUH homes in San Diego, California. Two surface wipe samples were collected per home and analyzed for nicotine, a THS marker, using liquid chromatography-triple quadrupole mass spectrometry. Nicotine was detected in all homes of nonsmokers with indoor smoking bans (Geo Mean = 1.67 µg/m²; 95% CI = [1.23;2.30]) and smokers regardless of an indoor ban (Geo Mean = 4.80 µg/m²; 95% CI = [1.89;12.19]). Approximately 10% of nonsmokers' homes with smoking bans showed nicotine levels higher than the average level in homes of smokers without smoking bans from previous studies (≥30 µg/m²). Housing for seniors, smoking bans on balconies, indoor tobacco use, difficult to reach surfaces, and self-reported African-American race/ethnicity were independently associated with higher THS levels. Individual cases demonstrated that high levels of surface nicotine may persist in nonsmoker homes for years after tobacco use even in the presence of indoor smoking bans. To achieve MUH free of tobacco smoke pollutants, attention must be given to identifying and remediating highly polluted units and to implementing smoking policies that prevent new accumulation of THS. As THS is a form of toxic tobacco product waste, responsibility for preventing and mitigating harmful impacts should include manufacturers, suppliers, and retailers.

Uneven Access to Smoke-Free Laws and Policies and Its Effect on Health Equity in the United States: 2000-2019

Tobacco control measures have played an important role in the reduction of the cigarette smoking prevalence among US adults.However, although overall smoking prevalence has declined, it remains high among many subpopulations that are disproportionately burdened by tobacco use, resulting in tobacco-related health disparities. Slow diffusion of smoke-free laws to rural regions, particularly in the South and Southeast, and uneven adoption of voluntary policies in single-family homes and multiunit housing are key policy variables associated with the disproportionate burden of tobacco-related health disparities in these subpopulations.Developing policies that expand the reach of comprehensive smoke-free laws not only will facilitate the decline in smoking prevalence among subpopulations disproportionately burdened by tobacco use but will also decrease exposure to secondhand smoke and further reduce tobacco-caused health disparities in the United States.

Association between second hand smoke (SHS) exposure and caregiver stress in children with poorly controlled asthma

Objective: Urban children with asthma experience high rates of second hand smoke (SHS) exposure. The objective was to examine whether SHS exposure is associated with symptom frequency in children with poorly controlled asthma. Methods: Children were enrolled in a RCT to test the efficacy of an environmental control behavioral intervention versus an attention control group and followed over 12 months. SHS exposure assessed using salivary cotinine measurement. Frequency of child asthma symptoms, healthcare utilization, household smoking and caregiver daily life stress were obtained via caregiver report. Time of enrollment was recorded to assess seasonal factors. Symptom days and nights were the primary outcomes. Multivariable models and odds ratios examined factors that best predicted increased frequency of daytime/nighttime symptoms. Results: Children (n = 222) with a mean age of 6.3 (SD 2.7) years, were primarily male (65%), African American (94%), Medicaid insured (94%), and had poorly controlled asthma (54%). The final multivariable model indicated symptoms in the fall (OR 2.78; 95% CI 1.16, 6.52) and increased caregiver daily life stress (OR 1.13, 95% CI 1.02, 1.25) were significantly associated with increased symptom days when controlling for cotinine level, intervention status, child age and home and car smoking restrictions. Conclusions: There was no impact of SHS exposure on increased symptom frequency. High caregiver daily life stress and symptoms in fall season may place children with asthma at risk for increased day/nighttime symptoms. Close monitoring of symptoms and medication use during the fall season and intervening on caregiver life stress may decrease asthma morbidity in children with poorly controlled asthma.

A qualitative study of the process of adoption, implementation and enforcement of smoke-free policies in privately-owned affordable housing

Background

Household smoke-free home rules cannot fully protect nonsmokers from secondhand smoke (SHS) if they live in multi-unit housing (MUH). Instead, property-level smoke-free policies are needed to prevent SHS incursion into apartment units and to keep common areas smoke-free. Smoke-free policies are usually at the discretion of property management companies and owners within the context of market-rate and privately-owned affordable housing in the U.S.

Methods

Semi-structured interviews on the policy development, implementation and enforcement experiences of 21 different privately-owned affordable housing management companies were conducted with representatives from properties in North Carolina and Georgia who had established smoke-free policies before 2016.

Results

The decision to adopt was typically made by corporate leadership, board members, owners or property managers, with relatively little resident input. Policy details were influenced by property layout, perceptions of how best to facilitate compliance and enforcement, and cost of creating a designated smoking area. Policies were implemented through inclusion in leases, lease addenda or house rules with 6 months’ notice most common. Participants thought having a written policy, the norms and culture of the housing community, public norms for smoke-free environments, and resident awareness of the rules and their consequences, aided with compliance. Violations were identified through routine inspections of units and resident reporting. Resident denial and efforts to hide smoking were shared as challenges to enforcement, along with a perception that concrete evidence would be needed in eviction court and that simply the smell of SHS was insufficient evidence of violation. Over half had terminated leases or evicted residents due to violations of the smoke-free policy. The most common benefits cited were reduced turnover cost and time, and lower vacancy rates.

Conclusions

Understanding the smoke-free policy process in privately-owned affordable housing can help practitioners encourage policies within subsidized housing contexts. The study identified salient benefits (e.g., reduced cost, time, and vacancies) that can be highlighted when encouraging MUH partners to adopt policies. Additionally, study findings provide guidance on what to consider when designing smoke-free policies (e.g., layout, costs), and provide insights into how to enhance compliance (e.g., resident awareness) and manage enforcement (e.g., routine inspections).

Electronic supplementary material

The online version of this article (10.1186/s12889-019-7404-y) contains supplementary material, which is available to authorized users.

A cross-sectional study of the relationship of proximal smoking environments and cessation history, plans, and self-efficacy among low-income smokers

Introduction

Proximal environments could facilitate smoking cessation among low-income smokers by making cessation appealing to strive for and tenable.

Aims

We sought to examine how home smoking rules and proximal environmental factors such as other household members' and peers' smoking behaviors and attitudes related to low-income smokers' past quit attempts, readiness, and self-efficacy to quit.

Methods

This analysis used data from Offering Proactive Treatment Intervention (OPT-IN) (randomized control trial of proactive tobacco cessation outreach) baseline survey, which was completed by 2,406 participants in 2011/12. We tested the associations between predictors (home smoking rules and proximal environmental factors) and outcomes (past-year quit attempts, readiness to quit, and quitting self-efficacy).

Results

Smokers who lived in homes with more restrictive household smoking rules, and/or reported having 'important others' who would be supportive of their quitting, were more likely to report having made a quit attempt in the past year, had greater readiness to quit, and greater self-efficacy related to quitting.

Conclusions

Adjustments to proximal environments, including strengthening household smoking rules, might encourage cessation even if other household members are smokers.

Implementing Smoke-Free Housing Policies Among Multiunit Housing Owners in New York City Between 2012 and 2015

Smoke-free regulations are the norm in workplaces and public outdoor areas across New York City (NYC), and smoke-free apartment building regulations are less widespread. In 2017, more than one-third (37.6%) of NYC multiunit housing (MUH) residents reported breathing secondhand smoke (SHS) from neighboring units. In 2015, the NYC Health Department conducted a cross-sectional phone survey among a random sample of NYC low-income and market-rate MUH property owners/managers as a follow-up to a 2012 study. The study compared owners' experiences and attitudes regarding smoke-free policies. Bivariate and multivariable logistic regression analyses were used. Overall, the proportion of owners who have a policy prohibiting smoking in individual units (33% vs 37%) increased between 2012 and 2015. In both waves, owners without low-income units (wave 1: 36%, wave 2: 40%) were more likely to have smoke-free housing policies than those with low-income units (wave 1: 26%, wave 2: 30%). The models adjusted for factors such as current smoking, size and nature of housing units, and several beliefs. Owners in 2015 were more likely to have a smoke-free policy (adjusted odds ratio [AOR]: 1.25, 95% confidence interval (CI): 1.003, 1.564) and, among those without a current smoke-free policy, to have future interest in smoke-free unit policies (AOR: 1.68, 95% CI: 1.17, 2.39) than in 2012. An increasing proportion of NYC MUH owners are reducing tenant exposure to SHS and providing them with a healthier environment. We expect to see further expansion of smoke-free housing in NYC as positive norms grow.

Implementation and enforcement of smoke-free policies in public housing

Smoke-free policies such as those required by the US Department of Housing and Urban Development have the potential to reduce persistent income-related disparities in secondhand smoke exposure. To understand the implementation and enforcement process, as well as barriers and facilitators to compliance and enforcement, we conducted semi-structured interviews (n=37) with representatives from 23 Public Housing Authorities (PHAs) with some level of smoking restriction in place, along with residents from 14 of these PHAs, from January to August 2016. Residents were typically notified of the new policy through group meetings, new resident orientations and/or one-on-one discussions during lease renewal or annual recertification. Timing of implementation varied, with advanced notice of 6 months or a year most common. Enforcement typically involved a series of verbal and/or written warnings, followed by written notice of lease violation, and eventual notice of lease termination and/or eviction. Challenges in enforcement were generally classified as monitoring difficulties or legal concerns. Characterizing current practices (e.g. advance notice, clear communication of escalating consequences, cessation support and concrete evidence of violation) from early adopters sets the stage for identifying best practices and helps to ensure successful and fair implementation of smoke-free policies in subsidized housing.

[Behavioral changes in smokers after implementation of anti-smoking legislation in ArgentinaMudança de comportamento nos fumantes após a implementação da legislação antifumo na Argentina]

OBJECTIVE

Identify factors related to behavioral changes in smokers over 18 years of age following implementation of provincial policies for 100% smoke-free spaces in Argentina.

METHODS

A cross-sectional analytical study was conducted. The multilevel technique was used with data from different hierarchies. Secondary data sources were used: National Risk Factor Surveys 2005, 2009, and 2013.

RESULTS

The individual analysis of explanatory variables revealed that residents of provinces that do not have smoke-free legislation were 40% less likely to consider quitting smoking than people who live in provinces with such legislation. In provinces without smoke-free spaces, males over 65 years old are even less likely to think about quitting smoking.

CONCLUSIONS

The results suggest that legislation based on Article 8 of the Framework Convention would be effective in promoting tobacco cessation in Argentina.

Perceptions about the Federally Mandated Smoke-Free Housing Policy among Residents Living in Public Housing in New York City

Background: To assess residents’ attitudes towards the United States (U.S.) Department of Housing and Urban Development’s new smoke-free public housing policy, perceptions about barriers to policy implementation, and suggestions for optimizing implementation. Methods: In 2017, we conducted 10 focus groups among 91 residents (smokers and nonsmokers) living in New York City public housing. Results: Smokers and nonsmokers expressed skepticism about the public housing authority’s capacity to enforce the policy due to widespread violations of the current smoke-free policy in common areas and pervasive use of marijuana in buildings. Most believed that resident engagement in the roll-out and providing smoking cessation services was important for compliance. Resident expressed concerns about evictions and worried that other building priorities (i.e., repairs, drug use) would be ignored with the focus now on smoke-free housing. Conclusions: Resident-endorsed strategies to optimize implementation effectiveness include improving the access to cessation services, ongoing resident engagement, education and communication to address misconceptions and concerns about enforcement, and placing smoke-free homes in a larger public housing authority healthy housing agenda.