The crossroads of work and home: linkages between smoke-free policies at work and household environments.

BACKGROUND: Tobacco use causes over eight million global deaths annually, with seven million directly attributed to tobacco use and 1.2 million to second hand smoke (SHS). Smoke-free environments are crucial to counter SHS. Although India banned smoking in public places in 2008, SHS exposure remains high. Studies have noted that limiting smoking in workplaces, restaurants, etc., helps to reduce overall smoking and reduce SHS exposure. Under this background, the study explores the linkages between smoke-free workplaces and living in smoke-free homes in India. METHODS: The two rounds of the GATS India (2009-10 and 2016-17) have been used for the study. The study focuses on male tobacco smokers working indoors or outdoors or both indoors and outdoors. The sample for the study was 2,969 for GATS 1 and 2,801 for GATS 2. Dependent variables include living in a smoke-free home, while the independent variables were adherence to a smoke-free office policy and socio-demographic variables. The two rounds of the GATS data were pooled for analysis. Statistical analysis involves bivariate and multivariate analysis. RESULTS: Findings reveal that 41% of respondents worked in smoke-free workplaces in GATS 2. Nationally, smoke-free homes increased from 35% in 2009-2010 to 44% in 2016-17. Individuals with smoke-free workplaces were more likely to have smoke-free homes. The Southern region consistently exhibited the highest proportion of smoke-free homes. Urban areas and higher education correlated with increased smoke-free homes. Logistic regression analysis confirmed that workplace smoke-free status is a significant predictor of smoke-free homes. In GATS 2, respondents aged 30 years and above were less likely to have smoke-free homes, while education and Southern region residence positively influenced smoke-free homes. CONCLUSIONS: The correlation between smoke-free workplaces and smoke-free homes is linked to stringent workplace no-smoking policies, potentially deterring individuals from smoking at home. Opportunities exist for the expansion and stringent implementation of the smoke-free policies among Indian working adults, leveraging the workplace as a key setting for evidence-based tobacco control. The study highlights positive trends in India's smoke-free homes, crediting workplace policies. Effective policies, education, and regional strategies can advance smoke-free homes, stressing the pivotal role of workplace policies and advocating broader implementation.

Compliance with smoke-free legislation and smoking behaviour: an observational field study in Karachi, Pakistan.

Objective: To observe compliance with smoke-free law at different public places in an urban setting. METHODS: The cross-sectional study was conducted from January to June 2022 after approval from the ethics review board of Jinnah Sindh Medical University, Karachi, at public places, including public and private offices, health institutions, education institutions, malls, markets and eateries, in 5 districts of Karachi. Boundary, entrance, waiting areas/corridors, toilet areas and eating areas were assessed using a checklist for smoke-free law compliance. Places were considered compliant if no smoking activity, cigarette butt litter or ashtrays was found. Data was analysed using SPSS 21. RESULTS: Out of 400 places observed, there were 80(20%) in each of the 5 districts. Overall, 36(44%) of the venues showed indoor compliance and 10(12%) showed outdoor compliance. Presence of cigarette butts was observed at 350(87.5%) outdoor places around the boundary of the premises. Only 38(9.5%) of the places had no smoking boards outdoors and at the entrance, with 16(4%) being clearly visible. Also, 27(43%) of educational institutions had a cigarette shop within 50 metres of the boundary. Conclusion: The city was found to have poor implementation of smoke-free laws, especially for outdoor areas, exposing the public to constant second-hand smoke.

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries.

OBJECTIVE: Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors. METHODS: Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 µg/m3. RESULTS: Overall, median nicotine concentration was 0.85 µg/m3 (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 µg/m3 IQR: 0.32-6.34), where smoking was allowed (1.60 µg/m3 IQR: 0.68-7.63), with two or more residents who smoked (2.42 µg/m3 IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 µg/m3 IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 µg/m3 IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05). CONCLUSIONS: SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

Multi-Level Influences of Smoke-Free Policies in Subsidized Housing: Applying the COM-B Model and Neighborhood Assessments to Inform Smoke-Free Policies.

Smoke-free policies in multi-unit housing are associated with reduced exposure to secondhand smoke (SHS); however, attitudes toward comprehensive smoke-free policies among residents in subsidized multi-unit housing are unknown. In this mixed-methods study, we explored the socio-ecological context for tobacco and cannabis use and attitudes toward policies restricting indoor use of these products through interviews with residents (N = 134) and staff (N = 22) in 15 federally subsidized multi-unit housing in San Francisco, California. We conducted a geo-spatial and ethnographic environmental assessment by mapping alcohol, cannabis, and tobacco retail density using ArcGIS, and conducted systematic social observations of the neighborhood around each site for environmental cues to tobacco use. We used the Capability, Opportunity, and Motivation behavior (COM-B) model to identify factors that might influence implementation of smoke-free policies in multi-unit housing. Knowledge and attitudes toward tobacco and cannabis use, social norms around smoking, neighborhood violence, and cannabis legalization were some of the social-ecological factors that influenced tobacco use. There was spatial variation in the availability of alcohol, cannabis, and tobacco stores around sites, which may have influenced residents' ability to maintain smoke-free homes. Lack of skill on how to moderate indoor smoking (psychological capability), lack of safe neighborhoods (physical opportunity), and the stigma of smoking outdoors in multi-unit housing (motivation) were some of the barriers to adopting a smoke-free home. Interventions to increase adoption of smoke-free policies in multi-unit housing need to address the co-use of tobacco and cannabis and commercial and environmental determinants of tobacco use to facilitate smoke-free living.

Secondhand smoke exposure assessment in outdoor hospitality venues across 11 European countries.

OBJECTIVE: Due to partial or poorly enforced restrictions secondhand tobacco smoke (SHS) is still present in outdoor hospitality venues in many European countries. This study aimed to assess SHS concentrations in outdoor hospitality venues across Europe and identify contextual exposure determinants. METHODS: Cross-sectional study. We measured airborne nicotine and evidence of tobacco use in terraces of bars, cafeterias, and pubs from 11 European countries in 2017-2018. Sites were selected considering area-level socioeconomic indicators and half were visited during nighttime. We noted the smell of smoke, presence of smokers, cigarette butts, ashtrays, and number of physical covers. Contextual determinants included national smoke-free policies for the hospitality sector, the Tobacco Control Scale score (2016), and the national smoking prevalence (2017-2018). We computed medians and interquartile ranges (IQR) of nicotine concentrations and used multivariate analyses to characterize the exposure determinants. RESULTS: Nicotine was present in 93.6% of the 220 sites explored. Overall concentrations were 0.85 (IQR:0.30-3.74) µg/m3 and increased during nighttime (1.45 IQR:0.65-4.79 µg/m3), in enclosed venues (2.97 IQR:0.80-5.80 µg/m3), in venues with more than two smokers (2.79 IQR:1.03-6.30 µg/m3), in venues in countries with total indoor smoking bans (1.20 IQR:0.47-4.85 µg/m3), and in venues in countries with higher smoking prevalence (1.32 IQR:0.49-5.34 µg/m3). In multivariate analyses, nicotine concentrations were also positively associated with the observed number of cigarette butts. In venues with more than two smokers, SHS levels did not significantly vary with the venues' degree of enclosure. CONCLUSIONS: Our results suggest that current restrictions in outdoor hospitality venues across Europe have a limited protective effect and justify the adoption of total smoking bans in outdoor areas of hospitality venues.

Secondhand smoke presence in outdoor areas in 12 European countries.

INTRODUCTION: Secondhand smoke (SHS) causes morbidity and mortality among non-smokers. OBJECTIVES: To investigate SHS presence in outdoor areas from 12 European countries and its association with country-level characteristics. METHODS: Cross-sectional study performed in 2017-2018 within the TackSHS project. We conducted a face-to-face survey on a representative sample of the population aged 15 years and older from 12 European countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain. Out of 11,902 participants, 8,562 were non-smokers. SHS presence was assessed in selected outdoor areas and defined as respondents viewing someone smoking the last time they visited each setting within the last 6 months. A ranking score for outdoor SHS presence was assigned to each country based on the SHS presence in each setting. We used Spearman's correlation (r) and the Chi-squared tests to assess the relationship between SHS presence and country-level characteristics. RESULTS: Except for children's playgrounds (39.5%; 95% confidence interval, CI: 37.6%-41.3%), more than half of non-smokers reported SHS presence in outdoor areas: schools (52.0%; 95%CI: 50.2%-53.7%), stadia (57.4%; 95%CI: 55.4%-59.4%), parks (67.3%; 95%CI: 66.0%-68.5%), hospitals (67.3%; 95%CI: 65.8%-68.7%), public transport stops (69.9%; 95%CI: 68.6%-71.2%), bar/restaurant terraces (71.4%; 95%CI: 70.2%-72.6%), and beaches (72.8%; 95%CI: 71.4%-74.1%). Residents in Latvia showed the highest overall outdoor SHS presence rank, followed by Greece, and Portugal. Outdoor SHS presence was directly correlated to the country's smoking prevalence (r = 0.64), and inversely correlated to the Tobacco Control Scale 2016 overall score (r = -0.62), the socio-demographic index 2017 (r = -0.56), and Gross Domestic Product per capita 2018 (r = -0.47) (p < 0.001). CONCLUSIONS: SHS presence is high in most outdoor areas in Europe, especially in countries with higher smoking prevalence and lower tobacco control performance. To address outdoor SHS exposure, our findings require considering smoking bans along with other strategies to reduce smoking prevalence.

Smoke-free school policies in Europe: Challenges for the future.

Scholars commonly plea for the development and evaluation of new tobacco control interventions to further decrease smoking and exposure to second-hand smoke. We, in addition, emphasize there is still much that can be done to improve the impact of current tobacco control interventions. This commentary makes a specific case for improving the implementation of smoke-free school policies across Europe.

Associations between public e-cigarette use and tobacco-related social norms among youth.

IMPORTANCE: E-cigarette use in public places may renormalise tobacco use. OBJECTIVE: To measure associations between e-cigarette use in public places and social norms among youth. DESIGN: Cross-sectional survey. SETTING: School-based. PARTICIPANTS: 24 353 never tobacco users in US 6th-12th grades who completed the 2016-2017 National Youth Tobacco Surveys. EXPOSURE: Individuals were classified as exposed in public places within the past 30 days to: (1) neither e-cigarette secondhand aerosol (SHA) nor combustible tobacco secondhand smoke (SHS); (2) SHA only; (3) SHS only; and (4) both SHA and SHS. OUTCOMES: Outcomes were overestimation of peer e-cigarette use (a measure of descriptive norms), harm perception and susceptibility. Data were analysed using descriptive statistics and logistic regression (p<0.05). RESULTS: Overall prevalence of SHS and SHA exposure in public places was 46.6% and 18.3%, respectively. SHA exposure in public places was associated with increased odds of overestimating peer e-cigarette use (adjusted OR (AOR): 1.83; 95% CI 1.29 to 2.58) and decreased odds of perceiving e-cigarettes as harmful (AOR: 0.63; 95% CI 0.51 to 0.79), compared with those exposed to neither emission. SHA exposure in public places was also associated with increased susceptibility to using e-cigarettes (AOR: 2.26; 95% CI 1.82 to 2.81) and cigarettes (AOR: 1.51; 95% CI 1.20 to 1.90). E-cigarette harm perception was lower among students in jurisdictions with no comprehensive clean indoor air laws (AOR: 0.79; 95% CI 0.71 to 0.88) or cigarette-only laws (AOR: 0.88; 95% CI 0.78 to 0.99) than in those prohibiting both cigarette and e-cigarette use in public places. CONCLUSIONS: Prohibiting both e-cigarette and cigarette use in public places could benefit public health.

Impact of the 2005 and 2010 Spanish smoking laws on hospital admissions for tobacco-related diseases in Valencia, Spain.

OBJECTIVES: This study aimed to assess the impact of the latest smoke-free legislation on hospital admission rates due to smoking-related diseases in Spain. STUDY DESIGN: A retrospective cohort study was conducted to evaluate changes in hospital admission rates for cardiovascular, respiratory diseases, and smoking-related cancer in Valencia, Spain, during the period 1995-2013. Law 28/2005 and then law 42/2010 prohibited smoking in bars and restaurants as well as playgrounds and access points to schools and hospitals. METHODS: General population data by age and sex were obtained from the National Institute of Statistics census. Data on hospital admissions were obtained from the Minimum Basic Data Set. Diagnoses were codified according to the International Classification of Diseases-9th revision. Data from all hospitals of the Valencian Community from 1995 to 2013 were analysed. Trend analyses in the periods before and after the approval of the 2005 law were conducted using least-squares linear regression models. RESULTS: Adjusted hospital admission rates per 100,000 inhabitants for cardiovascular diseases significantly decreased after the 2005 Law (from 550.0/100,000 in 2005 to 500.5/100,000 in 2007), with a further decrease (to 434.6/100,000) in 2013, after the 2010 Law. Reductions in hospital admissions were seen in men and women, although declining trends were more marked in men. Hospital admission rates for respiratory diseases showed a reduction of a lower magnitude, whereas for smoking-related cancer admissions there was a slight decline only among men. CONCLUSIONS: The Spanish comprehensive smoking ban resulted in a remarkable reduction of the adjusted rate of hospital admissions mainly associated to cardiovascular diseases. The decrease in the number of persons requiring in-patient care is relevant and may be viewed as an improvement of the public's health.

Developing Tobacco Control Interventions in Permanent Supportive Housing for Formerly Homeless Adults.

Smoke-free policies are effective population-based strategies to reduce tobacco use yet are uncommon in permanent supportive housing (PSH) for formerly homeless individuals who have high rates of smoking. In this study, we partnered with six supportive housing agencies in the San Francisco Bay Area to examine the implementation of smoke-free policies and cessation services. We administered a questionnaire and conducted in-depth, semistructured interviews with agency directors (n = 6), property management staff (n = 23), and services staff (n = 24) from 23 PSH sites on the barriers to implementing tobacco control interventions. All properties restricted smoking in indoor shared areas, but only two had policies restricting smoking in living areas. While there was staff consensus that smoke-free policies were important to reduce tobacco-related harm, participants disagreed on whether smoke-free policies were aligned with PSH's harm reduction framework. Residents' comorbid mental illness and substance use and the lack of appropriate enforcement tools were barriers to implementation. Using these formative findings, we present a framework for a toolkit of strategies to increase implementation of smoke-free policies and cessation interventions in PSH. Successful implementation of indoor smoke-free policies in PSH will require concurrent cessation services to support smoking cessation efforts and address the mental health and substance use needs of residents.

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).

Voluntary Smoke-Free Measures Among Oklahoma Nightlife Owners: Barriers and Facilitators.

Smoke-free policies prevent exposure to secondhand smoke and encourage tobacco cessation. Local smoke-free policies that are more comprehensive than statewide policies are not allowed in states with preemption, including Oklahoma, which has the sixth highest smoking prevalence in the United States. In states with preemption, voluntary smoke-free measures are encouraged, but little research exists on venue owners' and managers' views of such measures, particularly in nightlife businesses such as bars and nightclubs. This article draws from semistructured interviews with 23 Oklahoma bar owners and managers, examining perceived risks and benefits of adopting voluntary smoke-free measures in their venues. No respondents expressed awareness of preemption. Many reported that smoke-free bars and nightclubs were an inevitable societal trend, particularly as younger customers increasingly expected smoke-free venues. Business benefits such as decreased operating and cleaning costs, improved atmosphere, and employee efficiency were more convincing than improved employee health. Concerns that voluntary measures created an uneven playing field among venues competing for customers formed a substantial barrier to voluntary measures. Other barriers included concerns about lost revenue and fear of disloyalty to customers, particularly older smokers. Addressing business benefits and a level playing field may increase support for voluntary smoke-free nightlife measures.

Second-hand smoke exposure in outdoor hospitality venues: Smoking visibility and assessment of airborne markers.

INTRODUCTION: After the implementation of smoke-free policies in indoor hospitality venues (including bars, cafeterias, restaurants, and pubs), smokers may have been displaced to their outdoor areas. We aimed to study smoking visibility and second-hand smoke exposure in outdoor hospitality venues. METHODS: We collected information on signs of tobacco consumption on entrances and terraces of hospitality venues in 2016 in the city of Madrid, Spain. We further measured airborne nicotine concentrations and particulate matter of less than 2.5 µm in diameter (PM2.5) in terraces with monitors by active sampling during 30 min. We calculated the medians and the interquartile ranges (IQR) of nicotine and PM2.5 concentrations, and fitted multivariate models to characterize their determinants. RESULTS: We found 202 hospitality venues between May and September (summer), and 83 between October and December 2016 (fall) that were opened at the time of observation. We found signs of tobacco consumption on 78.2% of the outdoor main entrances and on 95.1% of outdoor terraces. We measured nicotine and PM2.5 concentrations in 92 outdoor terraces (out of the 123 terraces observed). Overall median nicotine concentration was 0.42 (IQR: 0.14-1.59) µg/m3, and overall PM2.5 concentration was 10.40 (IQR: 6.76-15.47) µg/m3 (statistically significantly higher than the background levels). Multivariable analyses showed that nicotine and PM2.5 concentrations increased when the terraces were completely closed, and when tobacco smell was noticed. Nicotine concentrations increased with the presence of cigarette butts, and when there were more than eight lit cigarettes at a time. CONCLUSIONS: Outdoor hospitality venues are areas where non-smokers, both employees and patrons, continue to be exposed to second-hand smoke. These spaces should be further studied and considered in future tobacco control interventions.

The role of middle managers in tobacco control after a national smoke-free hospital campus ban.

BACKGROUND: Much of the recent health services research on tobacco control implementation has explored general views and perceptions of health professionals and has rarely taken into account middle management's perspectives. We state that middle managers may facilitate the implementation of smoke-free campus bans and thereby improve their effectiveness. The aim of this study was to assess middle managers' behaviors to enforce a new national smoke-free hospital campus ban, to evaluate their perceptions of the level of compliance of the new regulation, and to explore their attitudes towards how smoking affects the work environment. METHODS: We used a cross-sectional survey, conducted online to evaluate middle managers of a general hospital in Catalonia, Spain. Close-ended and open-ended questions were included. Results were analyzed by using quantitative and qualitative methods. The managers' open opinions to the proposed topics were assessed using UCINET, and a graph was generated in NetDraw. RESULTS: Sixty-three of the invited managers (78.7 %) participated in the survey. 87.2 % of them agreed that the hospital complied with the smoke-free campus ban and 79.0 % agreed that managers have an important role in enforcing the ban. They also perceived that smoking disturbs the dynamics of work, is a cause of conflict between smokers and non-smokers, and harms both the professional and the organization images. However, 96.8 % of respondents have never given out fines or similar measures and their active role in reminding others of the policy was limited; in addition, 68.2 % considered that hospitals should provide tobacco cessation treatments. Smoker middle managers were more likely than non-smokers to perceive that smoking has little impact on work. CONCLUSIONS: Middle managers play a limited role in controlling tobacco consumption; smokers are less prone to think that smoking disturbs work dynamics than non-smokers. Tailored training and clear proceedings for middle managers could encourage more active roles.

The effectiveness of tobacco control policies on vulnerable populations in the USA: a review.

Despite population-wide efforts to reduce tobacco use, low-income populations in the USA have much higher rates of tobacco use compared with the general population. The principal components of tobacco control policies in the USA include cigarette taxes, clean indoor air laws and comprehensive interventions to increase access to tobacco cessation services. In this review, we describe the effectiveness of these policies and interventions in reducing tobacco use among vulnerable populations, focusing on persons with mental health disorders and substance use disorders, persons who have experienced incarceration or homelessness, and low-income tenants of public housing. We discuss the challenges that evolving tobacco and nicotine products pose to tobacco control efforts. We conclude by highlighting the clinical implications of treating tobacco dependence in healthcare settings that serve vulnerable populations.

Cannabis policy liberalization is only associated with increased blunt use if states lack strong tobacco control.

INTRODUCTION: Co-use of tobacco and cannabis has long been an issue for prevention and intervention efforts targeting these substances. Blunt use-cannabis inside a cigar wrapper-has been a consistent mode of cannabis consumption since the 1990s. Since then, both tobacco control and cannabis policies have changed considerably. This paper examines the influence of tobacco taxes and smoke-free policies as well as medical and recreational cannabis policies on blunt use among young people. METHODS: Combining state-level tobacco control and cannabis policy data with the restricted-access youth cohort of the Population Assessment of Tobacco and Health (PATH) study, we use multilevel logistic regression models to examine the impact of these policies on past-year blunt use. RESULTS: While we found a main effect whereby both legal medical and recreational cannabis policies are associated with higher odds of blunt use among youth, interaction effects demonstrate that this association only emerges in states lacking a comprehensive tobacco smoke-free policy. In states with smoke-free policies, we found no significant associations between cannabis policy and odds of blunt use. CONCLUSIONS: Denormalization through smoke-free policies may mitigate the effects of recreational and medical cannabis policies on blunt use. Smoke-free policies represent a possible cost-effective mechanism to curb the co-use of tobacco and cannabis in the form of blunts. States with medical and recreational cannabis policies may benefit from greater prevention efforts for young people specifically focused on blunt use, especially in states that do not have strong tobacco control.

Secondhand smoke exposure in public outdoor spaces in the Netherlands: The stronger the smell, the more exposure to nicotine.

INTRODUCTION: While secondhand smoke exposure in outdoor spaces has been investigated before, no data on outdoor secondhand smoke exposure have been collected in the Netherlands. Such data could help policymakers gain support for smoke-free outdoor public spaces. METHODS: Between May and November 2021, we visited 25 outdoor locations across the Netherlands. At each location, we conducted four measurements with smokers and one measurement without smokers. During each measurement, we counted the number of smokers present and we rated tobacco smell intensity on a five-point scale. Airborne nicotine and 3-ethenylpyridine (3-EP) data were collected through active sampling on thermal desorption tubes. The contents of these tubes were later analyzed using gas chromatography-mass spectrometry. Using linear mixed models, we investigated the association between levels of nicotine and the presence of smokers, the number of smokers, and the intensity of tobacco smell. We also investigated these association with levels of 3-EP. RESULTS: Nicotine levels were higher when smokers were present (B=1.40; 95% CI: 0.69-2.11, p<0.001). For each additional smoker present, we measured higher levels of nicotine (B=0.23; 95% CI: 0.10-0.37, p=0.001). When the smell of tobacco smoke was noted to be stronger by the researchers, higher levels of nicotine were measured through sampling (B=0.85; 95% CI: 0.44-1.26, p<0.001). We found similar results for 3-EP levels. CONCLUSIONS: This study showed that both nicotine and 3-EP are useful in quantifying levels of secondhand smoke in various outdoor locations. The level of nicotine exposure outdoors was positively associated with the number of smokers nearby. The intensity of the tobacco smell was also related to nicotine exposure: the stronger the smell of tobacco smoke, the more nicotine was measured in the air.

China's Smoke-free Policies in Public Place and the Smoking Cessation Status of Smokers.

INTRODUCTION: Smoking remains a major health risk factor and China is the world's largest consumer of tobacco. Smoke-free policies in public places are a powerful weapon in tobacco control. Therefore, the aim of this study was to assess the association between smoke-free policies in public places and smoking cessation among smokers in China from 2012 to 2020. METHODS: In this study, we assessed the impact of smoke-free public places policies on smoking cessation situation among smokers aged 16 years and older. We do this by conducting a difference-in-differences analysis using data from the China Family Panel Study (CFPS) 2012-2020. FINDINGS: By 2020, about 60.2% of the cities were covered by partial smoke-free policies and about 38.5% by comprehensive smoke-free policies. Based on the results of the study, we found that the medium-term effect model (Model 2, 2012:2016; Model 3, 2012:2018) of the impact of partial smoke-free policies on smoking cessation was not statistically significant using 2012 as the study baseline; the short-term effect model (Model 1; 2012:2014; P< .01) and the long-term effect model (Model 4; 2012:2020; P< .05) were statistically significant; the effect of a comprehensive smoke-free policy on smoking cessation (Model 5; 2012:2020; P<.05) was statistically significant. CONCLUSION: China's existing comprehensive smoke-free policies have had a modest impact on smoking cessation among the smoking population, and a strong, comprehensive national smoke-free law is urgently needed to achieve greater public health outcomes. IMPLICATIONS: Smoke-free policies are an important intervention to influence smoking behavior. This study demonstrates that comprehensive smoke-free policies in public places in China can effectively influence smoking behavior and show long-term trends in smoke-free behavior, while also reflecting the need to promote comprehensive smoke-free policies. This study provides a basis for the implementation of comprehensive smokefree policies into law and also provides a basis for policy makers.

Factors associated with successful purchase of cigarettes among students aged 11-17 years who made a purchase attempt in The Gambia: Evidence from the 2017 Global Youth Tobacco Survey.

INTRODUCTION: Access to tobacco plays a strong role in smoking initiation among youth. This study aimed to quantify successful purchase of cigarettes and assess the factors associated with cigarette purchase access among students aged 11-17 years in The Gambia. METHODS: We used the 2017 Global Youth Tobacco Survey (GYTS) of 12585 students, aged 11-17 years from The Gambia. The analysis was restricted to 2951 students aged 11-17 years who bought and/or attempted to buy cigarettes within the past 30 days regardless of smoking status. Our outcome was purchasing access, defined as successfully purchasing cigarettes within the past 30 days. We report a weighted prevalence of successful purchase attempt. Multivariable logistic regression assessed the factors associated with successful purchase of cigarettes and was adjusted for non-response and the complex survey design. RESULTS: Most students (59.4%, 95% CI: 55.4-63.3) who attempted to purchase cigarettes were successful, most of whom were boys (61.3%, 95% CI: 57.8-64.6). However, there was no significant difference in successful attempts to purchase cigarettes between boys (59.3%, 95% CI: 54.2-64.2) and girls (59.4%, 95% CI: 55.4-63.3). Older age (AOR=2.45; 95% CI: 1.25-4.78), higher school grade (AOR=1.53; 95% CI: 1.09-2.16) and current cigarettes smoking (AOR=1.41; 95% CI: 1.08-1.85) were significantly associated with successful attempt to purchase cigarettes. Sex, parents' smoking status and students' weekly pocket money were not associated with successful cigarettes purchase attempt. Among students who currently smoke cigarettes, 55.6% (95% CI: 47.7-63.2) bought them from a store, shop, street vendor, or canteen; 12.2% (95% CI: 8.3-17.5) obtained them from someone else, and 6.7% (95% CI: 4.4-10.0) used other means the last time they smoked. CONCLUSIONS: Students in The Gambia can purchase cigarettes without much hinderance despite the restrictions. Our research findings can guide the implementation of policies, programs, and public health strategies including more efforts toward implementing tobacco control laws and regulations that protect children from exposure and use of all forms of tobacco products.

Passive exposure and perceptions of smoke-free policies in hospital and university campuses among nursing students: A cross-sectional multicenter study.

INTRODUCTION: Outdoor smoke-free regulations reduce exposure to secondhand smoke (SHS) and help to denormalize tobacco use. As future key agents in health promotion, nursing students' attitudes should agree with tobacco-control policies. The objectives of this study were: 1) assess nursing students' exposure to SHS in nursing schools, 2) explore their perceptions of compliance with the existing smoke-free regulations in acute-care hospitals; and 3) describe their support for indoor and outdoor smoking bans on hospital and university campuses. METHODS: This was a cross-sectional multicenter study conducted in 2015-2016 in all 15 university nursing schools in Catalonia, Spain. A questionnaire gathered information on SHS exposure, awareness of the smoke-free regulation in acutecare hospitals, and support for smoke-free policies in indoor and outdoor areas of hospitals and university campuses. Participants were nursing students attending classes on the day of the survey. We performed descriptive analyses and calculated adjusted prevalence ratios (APR) and 95% confidence interval (CI). RESULTS: Of 4381 respondents, 99.1% had seen people smoking in outdoor areas of their university campus, and 75.2% had been exposed to SHS on the campus (6.0% indoors and 69.2% outdoors). Nearly 60% were aware of the smoking regulation in place in acute-care hospitals. There was widespread support for smoke-free indoor hospital regulation (98.7%), but less support (64.8%) for outdoor regulations. Approximately 33% supported the regulation to make outdoor healthcare campuses smoke-free, which was higher among third-year students compared to first-year students (APR=1.41; 95% CI: 1.24-1.62), among never smokers (41.4%; APR=2.84; 95% CI: 2.21-3.64) compared to smokers, and among those who were aware of the regulation (38.4%; 95% CI: 1.37-1.75). CONCLUSIONS: Exposure to SHS on university campuses is high. Nursing students express low support for strengthening outdoor smoking bans on hospital and university campuses. Interventions aiming to increase their support should be implemented.