Tobacco Retail Environment and Smoking: A Systematic Review of Geographic Exposure Measures and Implications for Future Studies

Daily Encounters as a Measure of Accessibility: An Innovative Approach to Assessing the Influence of Gambling Landscape on Gambler's Behaviour

This study examines the relationship between daily encounters with gambling facilities and gambling participation in a Czech region that transformed from having one of the world's highest gambling facility densities to implementing strict regulations. Using a sample of 2,447 respondents from 277 municipalities, the research analyses how daily encounters with gambling facilities, rather than mere facility presence, influence gambling behaviour. The study incorporates individuals' accessibility based on daily encounters within their living space, moving beyond conventional metrics of availability. Results show that the extent of encounters during daily routines is a stronger predictor of gambling participation than facility presence alone, with the most pronounced effects observed in casinos and gaming halls. Municipalities with comprehensive gambling offerings showed the highest proportion of at-risk and problem gamblers. These findings emphasise the importance of considering population mobility in gambling accessibility analyses and suggest implications for local regulatory policies.

Neighbourhood inequities in the availability of retailers selling tobacco products: a systematic review

OBJECTIVE

To examine inequities in tobacco retailer availability by neighbourhood-level socioeconomic, racial/ethnic and same-sex couple composition.

DATA SOURCES

We conducted a 10 November 2022 search of PubMed, PsycINFO, Global Health, LILACS, Embase, ABI/Inform, CINAHL, Business Source Complete, Web of Science and Scopus.

STUDY SELECTION

We included records from Organisation for Economic Co-operation and Development member countries that tested associations of area-level measures of tobacco retailer availability and neighbourhood-level sociodemographic characteristics. Two coders reviewed the full text of eligible records (n=58), including 41 records and 205 effect sizes for synthesis.

DATA EXTRACTION

We used dual independent screening of titles, abstracts and full texts. One author abstracted and a second author confirmed the study design, location, unit of analysis, sample size, retailer data source, availability measure, statistical approach, sociodemographic characteristic and unadjusted effect sizes.

DATA SYNTHESIS

Of the 124 effect sizes related to socioeconomic inequities (60.5% of all effect sizes), 101 (81.5%) indicated evidence of inequities. Of 205 effect sizes, 69 (33.7%) tested associations between retailer availability and neighbourhood composition of racially and ethnically minoritised people, and 57/69 (82.6%) documented inequities. Tobacco availability was greater in neighbourhoods with more Black, Hispanic/Latine and Asian residents (82.8%, 90.3% and 40.0% of effect sizes, respectively). Two effect sizes found greater availability with more same-sex households.

CONCLUSIONS

There are stark inequities in tobacco retailer availability. Moving beyond documenting inequities to partnering with communities to design, implement, and evaluate interventions that reduce and eliminate inequities in retail availability is needed to promote an equitable retail environment.

PROSPERO REGISTRATION NUMBER

CRD42019124984.

Exploring associations of population characteristics and tobacco and vape retailer density and proximity in Australia: a scoping review

OBJECTIVE

This scoping review synthesises Australian evidence on associations between tobacco and vape retailer density/proximity and various population measures and smoking behaviour to identify research gaps and inform future policy and strategies.

DATA SOURCES

Following Joanna Briggs Institute methodology, relevant studies published in English since 2003 were identified via searches of eight databases in March and August 2023.

STUDY SELECTION

Two reviewers independently completed screening procedures. Eligible studies were from Australia and described associations between tobacco or vape retailer density/proximity and adult or youth smoking/vaping prevalence or behaviours, neighbourhood socioeconomic status, geographic location, school locations and/or Indigenous status.

DATA EXTRACTION

Results are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

DATA SYNTHESIS

Of 794 publications screened, 12 studies from 6 Australian states were included. Six studies from five states reported statistically significant associations between neighbourhood-level socioeconomic disadvantage and tobacco retailer density, yet only two studies from two states found a significant relationship between retailer density and adult smoking prevalence. Increasing retailer density was consistently significantly associated with increasing geographical remoteness in three states. No studies explored associations with tobacco retailer proximity or vape retailer density/proximity.

CONCLUSIONS

Despite a moderate number of studies overall, state-level evidence is limited, and unknown for Australian territories. Evidence from five Australian states reflects the international evidence that increasing retailer density is significantly associated with increasing socioeconomic disadvantage and remoteness, supporting the need for tobacco supply-based policies. Further research is required to understand the impact of retailer density and adult and youth smoking prevalence in Australia.

Protecting children from tobacco products in retail environments: A review of Australian tobacco control laws

ISSUES

Tobacco retailing remains highly prevalent in Australia and so represents a potential source of exposure to tobacco marketing for children, despite national laws that restrict tobacco advertising, promotion and sponsorship. This study sought to answer the question of how comprehensively the current Australian regulatory framework protects children from potential exposure to tobacco marketing in retail settings.

APPROACH

We reviewed and summarised Australian tobacco control laws (federal, state and territory) for provisions related to protecting children from supply or advertising/promotion of tobacco products in retail settings. We analysed the laws for differences between jurisdictions and considered how comprehensively they protect children from exposure to tobacco product marketing in retail environments.

KEY FINDINGS

We found several gaps in the laws that leave children exposed to tobacco product marketing in retail environments. For example, some jurisdictions allow children to sell tobacco products and some do not undertake controlled purchase operations to monitor compliance. No jurisdiction currently restricts the location or number of tobacco retailers, or the types of retailers who can sell tobacco (including toy stores).

IMPLICATIONS

There are opportunities to strengthen tobacco retailing regulations in Australia to better distinguish tobacco from everyday consumer products and to protect children from tobacco marketing in retail environments.

CONCLUSIONS

Even in countries with strong tobacco advertising and promotion restrictions, such as Australia, weaknesses in tobacco laws leave children exposed to tobacco product retailing in ways that normalises tobacco product sales and use. Tobacco retailing laws should be strengthened to denormalise commercial tobacco products.

Tobacco Outlet Availability, Density, and Proximity in Rural Areas in the Netherlands: An Ex ante Evaluation of the Impact of Tobacco Sales Bans

INTRODUCTION

The Netherlands will ban tobacco sales from supermarkets in 2024 and from petrol stations and small outlets after 2030 (tobacco specialist shops exempted). Previous studies showed that this will reduce outlet availability, density, and proximity in Dutch urban areas.

AIMS AND METHODS

This study assessed the distribution of tobacco outlets in Dutch rural areas, and potential outlet reductions after implementation of these bans. A cross-sectional quantitative audit of tobacco outlets was conducted in seven rural municipalities in the Netherlands. Tobacco outlet availability (N), density (per 10 000 capita and km2), and proximity (average distance of a street or city block to the closest tobacco outlet [meters]) were calculated, as well as predicted changes after implementation of upcoming sales bans.

RESULTS

97 tobacco retailers were identified. There were 5.00 outlets per 10 000 capita and 0.09 per km2. The tobacco sales ban in supermarkets is expected to reduce availability by 57 outlets, and density by 2.94/10 000 per capita and 0.05/km2, while increasing average distance by 824 m. A tobacco sales ban in petrol stations is expected to further reduce availability (-26), density/10 000 capita (-1.34), and density/km2 (-0.02), while increasing distance (+1595 m). For small outlets, these numbers are -12, -0.62, and -0.01, respectively, while the closest tobacco outlet will be mostly outside municipality borders.

CONCLUSIONS

Assuming no new tobacco outlets will emerge in response to future tobacco sales bans, the bans could nearly eliminate tobacco outlets in rural areas. To meet the demand for tobacco, there is a risk that new tobacco specialist shops will be established.

IMPLICATIONS

This study shows the potential impact of tobacco sales bans in, sequentially, supermarkets, petrol stations, and small outlets on tobacco outlet density and proximity in rural municipalities in the Netherlands. A ban on tobacco sales in supermarkets, petrol stations, and small outlets could reduce the number of tobacco outlets in rural areas of the Netherlands to nearly zero. As a result, supermarkets may be inspired to open tobacco specialist shops, which are exempt from the bans. To prevent the proliferation of such shops, retail licensing schemes may need to be established.

Correlation Among Neighborhood-Level Measures of the Tobacco Retail Environment

INTRODUCTION

Tobacco retailer density and distance to tobacco retailers are understood to influence tobacco-related behaviors; however, there is no general agreement on how to best characterize or measure the tobacco retail environment (TRE). In this data-driven analysis, we examine similarities among neighborhood-level measures of the TRE and assess how the geographic resolution of the neighborhood units may affect them.

AIMS AND METHODS

We used locations of likely tobacco retailers in the United States to calculate multiple retailer count, density, and distance measures. Measures were calculated at the Census block group, tract, and county (including county equivalents) levels of geographic aggregation. Spearman's correlation was used to evaluate the similarity among the TRE measures.

RESULTS

At the block group and tract level, correlation among all TRE measures ranged from slightly negative (ρ = -0.03) to nearly perfect (ρ = 0.99). At both levels of aggregation, distance-based TRE measures were highly correlated (ρ > 0.76). At the block group level, the simple count of retailers was highly correlated with the density measures (ρ > 0.83), and at the tract level, simple count was moderately to highly correlated with the density measures (ρ > 0.5). Findings were generally similar at the county level; a notable deviation was that retailers per person were negatively correlated with all other TRE measures (range from ρ = -0.08 to ρ = -0.32).

CONCLUSIONS

Some common measures were not correlated, suggesting they capture different aspects of the TRE; similarity among the various measures also varied by level of geographic aggregation.

IMPLICATIONS

Because the TRE shapes people's tobacco-related behaviors, using appropriate measures to characterize it at a neighborhood level is paramount. Our work highlights both the similarities and differences among a set of common measures, thereby suggesting the measures may be capturing different aspects of the overall retail environment. Our findings regarding geographic level of aggregation underscore the importance of neighborhood definition in any TRE analysis.

Perspectives on limiting tobacco access and supporting access to nicotine vaping products among clients of residential drug and alcohol treatment services in Australia

INTRODUCTION

Tobacco endgame strategies aim to drive down population smoking rates, the success of which can be improved with public buy-in, including from populations with high smoking rates such as alcohol and other drug (AOD) service clients. This study aimed to explore acceptability of tobacco retail and nicotine reduction, and subsidised nicotine vaping to support AOD service clients following a smoking cessation attempt.

METHODS

We interviewed 31 Australian AOD service clients who currently or previously smoked, following a 12-week randomised trial comparing nicotine replacement therapy with nicotine vaping product (NVP) for smoking cessation. Participants were asked how effectively three scenarios would support tobacco cessation: tobacco retailer reduction, very low-nicotine cigarette standard and subsidised NVP access. We thematically analysed participant views on how each approach would support tobacco abstinence.

RESULTS

Tobacco retailer reduction raised concerns about increasing travel and accessing cigarettes from alternate sources, with generally lower acceptability, though a range of perspectives were provided. Reducing nicotine in tobacco products was described as reducing appeal of smoking and potentially increasing illicit purchases of non-reduced nicotine products. Clients of AOD services were highly accepting of subsidised NVP access for tobacco cessation, as this would partly address financial and socioeconomic barriers.

CONCLUSIONS

Australian tobacco control policy should consider how these approaches impact ease and likelihood of tobacco access by AOD service clients in relation to the general population. Understanding clients' acceptability of tobacco control and endgame measures can inform how to avoid potential unintended consequences for these clients.

Tobacco retail availability and smoking-A systematic review and meta-analysis

ISSUES

Health policy makers worldwide have adopted evidence-based legislation, largely directed at consumers, to reduce tobacco-related harm. It is suggested that limiting supply by decreasing retail availability can also reduce cigarette smoking. To inform policy makers this systematic literature review assesses whether reducing availability is associated with smoking behaviours.

APPROACH

Systematic literature searches of five databases were carried out up to January 2023. Included studies had at least one exposure (tobacco retail density, proximity or mixed measures thereof) and outcomes of smoking behaviour. Meta-analysis of effect estimates were undertaken if there were at least three studies with similar population, exposure and outcome measures.

KEY FINDINGS

Sixty-two studies were included, and positive associations were found between tobacco outlet density and cigarette smoking in pregnancy, youth, adults and cessation. Meta-analyses were undertaken for retail density and ever smoking (odds ratio [OR] 1.20; 95% confidence interval [CI] 1.04, 1.37; I2 = 87.3%), and current youth smoking (OR 1.23; 95% CI 1.08, 1.40; I2 = 0.0%), adult smoking (OR 1.11; 95% CI 1.01, 1.22; I2 = 74.8%); and mixed measures of retail availability near schools and current youth smoking (OR 1.03; 95% CI 1.01, 1.05; I2 = 0.0%).

IMPLICATIONS AND CONCLUSION

There is evidence higher tobacco retail density is consistently associated with cigarette smoking in pregnant women, young people and adults when ecological studies are included in meta-analysis. Meanwhile, evidence synthesis reveals restrictive tobacco retail laws based on proximity or mixed measures near home or very near school may not reduce smoking except in men who smoke heavily. Mechanisms to reduce retailer density should be thus considered part of tobacco control strategies.

Tobacco retailer density and its association with birth outcomes in the USA: 2000-2016

INTRODUCTION

Significant progress has been made in reducing maternal exposure to tobacco smoke and subsequent adverse birth outcomes, however, reductions may require strategies that reduce the availability of tobacco retailers. In this study, we investigated the relationship between tobacco retailer density and birth outcomes across the USA and predicted the potential impact of a tobacco retailer density cap on these outcomes.

METHODS

Annual US county (n=3105), rates of preterm birth, low birth weight, small-for-gestational age, all-cause infant mortality and sudden infant death syndrome (SIDS) were calculated using National Vital Statistics System data. Tobacco retailers were identified from the National Establishment Time-Series Database. We used Poisson regression to estimate the effect of capping retailer density at 1.4 retailers per 1000 population, controlling for county demographics and air pollution, using propensity score weighting.

RESULTS

Tobacco retailer density was positively associated with most adverse birth outcomes. We estimate that a nationwide cap on tobacco retailer density, implemented in 2016, would have resulted in a reduction of 4275 (95% CI 2210 to 6392) preterm births, 6096 (95% CI 4421 to 7806) small-for-gestational-age births, 3483 (95% CI 2615 to 4378) low birthweight births, 538 (95% CI 345 to 733) all-cause infant deaths and 107 (95% CI 55 to 158) SIDS deaths in that year.

CONCLUSION

Higher rates of adverse birth outcomes were seen in counties with high tobacco retailer density compared with those with low density. These results provide further support for regulating tobacco retail density to reduce adverse health outcomes associated with tobacco use.

Supply and demand effects between tobacco retailer density and smoking prevalence

OBJECTIVE

Places with more tobacco retailers have higher smoking prevalence levels, but whether this is because retailers locate where people who smoke live or whether tobacco availability prompts tobacco use is unknown. In this study, we compare the role of consumer demand with that of tobacco supply in longitudinal, area-based associations of tobacco retailer density with smoking prevalence.

METHODS

We merged annual adult smoking prevalence estimates derived from the USA Behavioural Risk Factor Surveillance System data with annual county estimates of tobacco retailer density calculated from the National Establishment Time Series data for 3080 counties between 2000 and 2010. We analysed relationships between retailer density and smoking in 3080 counties, using random intercept cross-lagged panel models and employing two measures of tobacco retailer density capturing the number of likely tobacco retailers in a county divided by either the population or land area.

RESULTS

Both density models provided evidence of significant demand and supply effects; in the population-based model, the association of smoking prevalence in 1 year with tobacco retailer density in the next year (standardised coefficient=0.038, p<0.01) was about double the association between tobacco retailer density with subsequent smoking prevalence (0.017, p<0.01). The reverse was true in the land area-based model, where the supply effect (0.042, p<0.01) was more than 10 times stronger than the demand effect (0.003, p<0.01).

CONCLUSIONS

Policies that restrict access to retail tobacco have the potential to reduce smoking prevalence, but pairing such policies with interventions to reduce consumer demand remains important.

Global policy scan of commercial combustible tobacco product retailing regulations by WHO region

BACKGROUND/AIMS

Regulatory schemes for tobacco retailing help restrict the supply and availability of smoked tobacco products. Tobacco retailer density and the proximity of tobacco outlets to youth spaces, such as schools, are greater in more disadvantaged areas. Exposure to tobacco retailing normalises smoking and increases ease of access, thus increasing smoking uptake and undermining quitting. To inform future policy, we conducted a global scan of combustible tobacco retail regulatory schemes (We use the term schemes to refer to any kind of relevant initiative, policy, regulations or legislation that we found).

METHODS

All types of English language records concerning the regulation of commercial tobacco product availability were considered, including peer-reviewed journal articles, key reports and policy documents. The key features of regulatory schemes were documented. In addition, we contacted key informants in different countries and regions for advice on additional sources and undertook targeted searching in regions where we initially found little data.

RESULTS/FINDINGS

Although many countries have well-established and comprehensive tobacco control programmes, tobacco retail policy that actively addresses the availability of tobacco is underutilised. Many jurisdictions have implemented a minimum purchase age and restricted point-of-sale advertising and marketing. Other tobacco retailing regulations also included licensing systems with licence fees, caps on licences and restrictions on store location, type and retailer density/proximity. A very small number of jurisdictions have ended tobacco retailing altogether.

CONCLUSIONS

At a minimum, policy-makers should implement licensing schemes, licence caps and proximity limits and invest in robust monitoring systems and compliance enforcement. Tobacco products' ubiquity is incompatible with its status as a dangerous addictive substance and does not align with tobacco endgame goals.

Towards stronger tobacco control policies to curb the smoking epidemic in Spain

Smoking and exposure to secondhand smoke pose a significant risk to the health of populations. Although this evidence is not new, the commitment of countries to implement laws aimed at controlling consumption and eliminating exposure to secondhand smoke is uneven. Thus, in North America or in Europe, locations like California or Ireland, are pioneers in establishing policies aimed at protecting the population against smoking and secondhand smoke. Identifying measures that have worked would help control this important Public Health problem in other countries that are further behind in tobacco control policies. In Spain, there has been almost 15 years of little political action in legislation oriented to control the tobacco epidemic. If we want to achieve the tobacco endgame, new legislative measures must be implemented. In this paper, we have elucidated tobacco control policies that could be implemented and show how different countries have done so.

Potential impacts of spatial restrictions on tobacco retail availability in China: a simulation study in Shanghai

OBJECTIVES

Regulating tobacco retail availability provides promising new opportunities for effective tobacco control. This study simulates the potential impacts of introducing spatial restrictions on the availability of tobacco in Shanghai, the largest city in China.

METHODS

Twelve stakeholder-informed simulation scenarios under four types of spatial restrictions were considered: (1) capping, (2) ban of sales, (3) minimum spacing and (4) school-buffer exclusion zone. Tobacco retailer data for Shanghai (n=19 413) were used. The main outcome was per cent reduction in retail availability measured by population-weighted kernel density estimation across neighbourhoods, and impacts on social inequality in availability were estimated using the Kruskal-Wallis test and effect size estimation. All analyses were further stratified by three levels of urbanity to examine geographical disparities in overall effectiveness and equity of the simulation scenarios.

RESULTS

All simulation scenarios have the potential to reduce availability, with overall reductions ranging from 8.60% to 85.45%. Compared with the baseline, the effect size regarding the association between availability and neighbourhood deprivation quintiles suggests that the most effective scenario, '500 m minimum spacing' between retailers, increased the social inequality in availability (p<0.001). Conversely, school-buffer scenarios were both effective and equitable. Additionally, the effectiveness and the equity impact of scenarios varied by urbanity level.

CONCLUSION

Spatial restrictions offer potential new policy opportunities to reduce retail availability, but some may increase social inequality in accessing tobacco. For effective tobacco control, policymakers should consider the overall and equity impacts of spatial restrictions when developing comprehensive tobacco retail regulations.

Should tobacco sales be restricted to state-run alcohol outlets? Perspectives from 10 US alcohol control states

BACKGROUND AND AIMS

The ubiquity of tobacco retailers helps to sustain the tobacco epidemic. A tobacco retail reduction approach that has not been tried is transitioning tobacco sales to state-controlled alcohol stores (TTS), which are limited in number and operate under some restrictions, e.g. regarding opening hours or marketing materials. This study summarizes policy experts' and advocates' views of TTS, including (1) advantages and disadvantages; (2) feasibility; and (3) potential implementation obstacles.

DESIGN

This study was a qualitative content analysis of semi-structured interviews.

SETTING

Ten US states with alcoholic beverage control systems were included.

PARTICIPANTS

The participants comprised a total of 103 tobacco control advocates and professionals, public health officials, alcohol policy experts and alcohol control system representatives, including two tribal community representatives.

MEASUREMENTS

Interviewees' perspectives on their state's alcoholic beverage control agency (ABC, the agency that oversees or operates a state alcohol monopoly) and on TTS were assessed.

FINDINGS

Interviewees thought TTS offered potential advantages, including reduced access to tobacco products, less exposure to tobacco advertising and a greater likelihood of successful smoking cessation. Some saw potential long-term health benefits for communities of color, due to the smaller number of state alcohol stores in those communities. Interviewees also raised concerns regarding TTS, including ABCs' limited focus on public health and emphasis on revenue generation, which could conflict with tobacco use reduction efforts. Some interviewees thought TTS could enhance the power of the tobacco and alcohol industries, increase calls for alcohol system privatization or create difficulties for those in recovery.

CONCLUSIONS

In the United States, transitioning tobacco sales to state-controlled alcohol stores (TTS) could have a positive public health impact by reducing tobacco availability, marketing exposure and, ultimately, tobacco use. However, tensions exist between alcohol control system goals of providing revenue to the state and protecting public health. Should a state decide to pursue TTS, several guardrails should be established, including building into the legislation an explicit goal of reducing tobacco consumption.

How do people who smoke perceive a tobacco retail outlet reduction policy in Aotearoa New Zealand? A qualitative analysis

BACKGROUND

Aotearoa New Zealand plans to greatly reduce tobacco retail outlets, which are concentrated in areas of higher deprivation and perpetuate health inequities caused by smoking and borne particularly by Māori. However, we lack in-depth analyses of how this measure could affect people who smoke.

METHODS

We undertook in-depth interviews with 24 adults from two urban areas who smoke. We used a novel interactive mapping approach to examine participants' current retail outlets and their views on a scenario where very few outlets would sell tobacco. To inform policy implementation, we probed participants' anticipated responses and explored the measure's wider implications, including unintended impacts. We used qualitative description to interpret the data.

RESULTS

Most participants anticipated accommodating the changes easily, by using alternative outlets or bulk-purchasing tobacco; however, they felt others would face access problems and increased costs, and greater stress. They thought the policy would spur quit attempts, reduce relapse among people who had quit and protect young people from smoking uptake, and expected more people to switch to alternative nicotine products. However, most foresaw unintended social outcomes, such as increased crime and reduced viability of local businesses.

CONCLUSIONS

Many participants hoped to become smoke-free and thought retail reduction measures would prompt quit attempts and reduce relapse. Adopting a holistic well-being perspective, such as those developed by Māori, could address concerns about unintended adverse outcomes and provide comprehensive support to people who smoke as they adjust to a fundamental change in tobacco availability.

What impact would tobacco retailer proximity limit have on tobacco availability in New Zealand?

INTRODUCTION

One policy option to reduce the density of tobacco retailers is to restrict the distance retailers can be located to each other. This study examined the impacts of proximity limits of 150 m, 300 m and 450 m between tobacco retailers in New Zealand and if critical threshold reduction in tobacco retailers of 90%-95% would be achieved.

METHODS

Using a spatial modelling approach, tobacco retailers were randomly removed based on a minimum distance between retailers until there were zero retailers within each scenario's minimum distance. This was repeated for all three proximity limit scenarios and descriptive statistics are provided for each.

RESULTS

Implementation of 150 m, 300 m or 450 m distance restrictions between tobacco retailers would result in an average reduction in availability of 35%, 49% and 58%, respectively. On average, the current median distance to the closest retailer increases from 110 m to 377 m, to 568 m or to 718 m, respectively. The average median distance from a retailer to the closest school also increases across the three proximity limits, from 1017 m to 1087 m, to 1149 m or to 1231 m, respectively. Reduced clustering in deprived areas would be most apparent if a 450 m restriction policy was implemented.

CONCLUSIONS

A proximity limit of 450 m would reduce retailers by 58%, but would not reach proposed critical behaviour-change threshold of 90%-95% required to reduce smoking prevalence independently. There is a need for a combination of policies, which focus on promoting equity, to achieve this bold endgame goal.

The effect of neighborhood socioeconomic disadvantage on smoking status, quit attempts, and receipt of cessation support among adults with cancer: Results from nine ECOG-ACRIN Cancer Research Group trials

BACKGROUND

Tobacco use is associated with adverse outcomes among patients diagnosed with cancer. Socioeconomic determinants influence access and utilization of tobacco treatment; little is known about the relationship between neighborhood socioeconomic disadvantage (NSD) and tobacco assessment, assistance, and cessation among patients diagnosed with cancer.

METHODS

A modified Cancer Patient Tobacco Use Questionnaire (C-TUQ) was administered to patients enrolled in nine ECOG-ACRIN clinical trials. We examined associations of NSD with (1) smoking status, (2) receiving tobacco cessation assessment and support, and (3) cessation behaviors. NSD was classified by tertiles of the Area Deprivation Index. Associations between NSD and tobacco variables were evaluated using logistic regression.

RESULTS

A total of 740 patients completing the C-TUQ were 70% male, 94% White, 3% Hispanic, mean age 58.8 years. Cancer diagnoses included leukemia 263 (36%), lymphoma 141 (19%), prostate 131 (18%), breast 79 (11%), melanoma 69 (9%), myeloma 53 (7%), and head and neck 4 (0.5%). A total of 402 (54%) never smoked, 257 (35%) had formerly smoked, and 81 (11%) were currently smoking. Patients in high disadvantaged neighborhoods were approximately four times more likely to report current smoking (odds ratio [OR], 3.57; 95% CI, 1.69-7.54; p = .0009), and more likely to report being asked about smoking (OR, 4.24; 95% CI, 1.64-10.98; p = .0029), but less likely to report receiving counseling (OR, 0.11; 95% CI, 0.02-0.58; p = .0086) versus those in the least disadvantaged neighborhoods.

CONCLUSIONS

Greater neighborhood socioeconomic disadvantage was associated with smoking but less cessation support. Increased cessation support in cancer care is needed, particularly for patients from disadvantaged neighborhoods.

New Zealand community pharmacists' perspectives on supplying smoked tobacco as an endgame initiative: a qualitative analysis

INTRODUCTION

Tobacco endgame strategies often include measures to reduce tobacco availability by decreasing retailer numbers. Recently, some US pharmacies have delisted tobacco, though overall retailer numbers have not reduced markedly. Paradoxically, others have suggested limiting tobacco sales to pharmacies, to reduce supply and support cessation. We explored how pharmacists from Aotearoa New Zealand, a country planning to reduce tobacco supply, perceived supplying tobacco.

METHODS

We undertook in-depth interviews with 16 pharmacists from Ōtepoti Dunedin; most served more deprived communities with higher smoking prevalence. We probed participants' views on supplying tobacco, explored factors that could limit implementation of this policy, and analysed their ethical positions. We used qualitative description to analyse data on limiting factors and reflexive thematic analysis to interpret the ethical arguments adduced.

RESULTS

Most participants noted time, space and safety concerns, and some had strong moral objections to supplying tobacco. These included concerns that supplying tobacco would contradict their duty not to harm patients, reduce them to sales assistants, undermine their role as health experts, and tarnish their profession. A minority focused on the potential benefits of a pharmacy supply measure, which they thought would use and extend their skills, and improve community well-being.

CONCLUSIONS

Policy-makers will likely encounter strongly expressed opposition if they attempt to introduce a pharmacy supply measure as an initial component of a retail reduction strategy. However, as smoking prevalence falls, adopting a health-promoting supply model, using pharmacies that chose to participate, would become more feasible and potentially enhance community outreach and cessation support.

Tobacco and Alcohol Retailer Availability and Neighborhood Racialized, Economic, and Racialized Economic Segregation in North Carolina

BACKGROUND

Despite evidence of racialized and socioeconomic inequities in tobacco and alcohol outlet availability, few studies have investigated spatial inequities in areas experiencing both concentrated residential racialized segregation and socioeconomic disadvantage. This study examined whether segregation-racialized, economic or both-was associated with alcohol and tobacco retailer counts in North Carolina (NC).

METHODS

The NC Alcoholic Beverage Control Commission provided lists of 2021 off-premise alcohol retailers. We created a list of 2018 probable tobacco retailers using ReferenceUSA. We calculated three census tract-level measures of the Index of Concentrations at the Extremes (ICE), indicating racialized segregation between non-Hispanic White and Black residents and economic segregation based on household income. We used negative binomial regression to test associations between quintiles of each ICE measure and tobacco and, separately, alcohol retailer counts.

RESULTS

Tracts with the greatest racialized disadvantage had 38% (IRR, 1.38; 95% CI, 1.15-1.66) and 65% (IRR, 1.65; 95% CI, 1.34-2.04) more tobacco and alcohol outlets, respectively, as tracts with the lowest. Tracts with the highest racialized economic disadvantage had a predicted count of 1.51 tobacco outlets per 1000 people while those in the lowest had nearly one fewer predicted outlet. Similar inequities existed in the predicted count of alcohol outlets.

DISCUSSION

Tobacco and alcohol outlet availability are higher in NC places experiencing concentrated racialized and economic segregation. A centralized agency overseeing tobacco and alcohol outlet permits and strategies to reduce the retail availability of these harmful products (e.g., capping the number of permits) are needed to intervene upon these inequities.

Urban and social determinants of alcohol and tobacco consumption among adolescents in Madrid

OBJECTIVE

This study aims to describe the accessibility to and promotion of alcohol and tobacco around secondary schools in Madrid and its distribution in relation with area-level socioeconomic deprivation; analyze the relationship between this exposure and individual consumption characteristics of students between 14 and 18 years old; and explore other facilitators of this consumption.

METHOD

Mixed-methods study conducted in three phases: 1) we collected data on accessibility to and promotion of alcohol and tobacco in the environment using systematic social observation around 55 secondary schools; 2) we administered 2287 questionnaires among the students in these centers to gather information about characteristics and determinants of consumption; and 3) we conducted 20 semi-structured interviews and one discussion group to deepen in the results obtained in surveys and systematic social observation. We will use Geographic Information Systems to integrate and analyze the data from a spatial perspective.

Tobacco retailer density and smoking behaviour: how are exposure and outcome measures classified? A systematic review

INTRODUCTION

To date only a limited number of reviews have focused on how exposure and outcome measures are defined in the existing literature on associations between tobacco retailer density ('density') and smoking behaviour ('smoking'). Therefore this systematic review classified and summarised how both density and smoking variables are operationalised in the existing literature, and provides several methodological recommendations for future density and smoking research.

METHODS

Two literature searches between March and April 2018 and April 2022 were conducted across 10 databases. Inclusion and exclusion criteria were developed and keyword database searches were undertaken. Studies were imported into Covidence. Cross-sectional studies that met the inclusion criteria were extracted and a quality assessment was undertaken. Studies were categorised according to the density measure used, and smoking was re-categorised using a modified classification tool.

RESULTS

Large heterogeneity was found in the operationalisation of both measures in the 47 studies included for analysis. Density was most commonly measured directly from geocoded locations using circular buffers at various distances (n = 14). After smoking was reclassified using a smoking classification tool, past-month smoking was the most common smoking type reported (n = 26).

CONCLUSIONS

It is recommended that density is measured through length-distance and travel time using the street network and weighted (e.g. by the size of an area), or by using Kernel Density Estimates as these methods provide a more accurate measure of geographical to tobacco and e-cigarette retailer density. The consistent application of a smoking measures classification tool, such as the one developed for this systematic review, would enable better comparisons between studies. Future research should measure exposure and outcome measures in a way that makes them comparable with other studies.

IMPLICATIONS

This systematic review provides a strong case for improving data collection and analysis methodologies in studies assessing tobacco retailer density and smoking behaviour to ensure that both exposure and outcome measures are clearly defined and captured. As large heterogeneity was found in the operationalisation of both density and smoking behaviour measures in the studies included for analysis, there is a need for future studies to capture, measure and classify exposure measures accurately, and to define outcome measures in a manner that makes them comparable with other studies.

A statewide study of disparities in local policies and tobacco, vape, and cannabis retail environments

The current study: (1) assesses sociodemographic disparities in local policies related to tobacco and cannabis retail, and (2) examines the cross-sectional association between policy strength and retailer densities of tobacco, e-cigarette (vape), and cannabis retailers within California cities and county unincorporated areas (N = 539). We combined (a) American Community Survey data (2019 5-year estimates), (b) 2018 tobacco, vape, and cannabis retailer locations from a commercial data provider, (c) 2017 tobacco and vape retail environment policy data from American Lung Association, and (d) 2018 cannabis policy data from California Cannabis Local Laws Database. Conditional autoregressive models examined policy strength associations with sociodemographic composition and retailer density in California jurisdictions. Jurisdictions with larger percentages of Black and foreign-born residents had stronger tobacco and vape policies. For cannabis policy, only income had a small, significant positive association with policy strength. Contrary to hypothesis, tobacco/vape policies were not significantly associated with retailer density, but cannabis policy strength was associated with lower cannabis retailer density (relative rate = 0.58, 95% Uncertainty Interval 0.47-0.70)-this effect was completely driven by storefront bans. Thus, storefront cannabis bans were the only policy studied that was associated with lower cannabis retailer density. Further research is needed to understand policies and disparities in retail environments for tobacco, vape, and cannabis, including data on the prospective association between policy implementation and subsequent retailer density, and the role of enforcement.

Ex ante evaluation of the impact of tobacco control policy measures aimed at the point of sale in the Netherlands

INTRODUCTION

The Netherlands aims to implement stricter tobacco control policies targeting the retail environment. This paper is an ex ante policy evaluation of the potential impact of the current tobacco display and advertising ban as well as future tobacco sales bans on tobacco outlet visibility and availability.

METHODS

Between September 2019 and June 2020, all potential tobacco retailers in four Dutch cities (Amsterdam, Eindhoven, Haarlem and Zwolle) were visited and mapped using Global Positioning System. For each retailer selling tobacco, we completed a checklist on the visibility of tobacco products and advertising. Expected reductions in tobacco outlet visibility and availability were calculated per policy measure in absolute numbers (percentage or percentage point decrease) as well as density and proximity.

RESULTS

Out of 870 tobacco outlets, 690 were identified with visible tobacco products/advertising. The display ban in supermarkets and small outlets (respectively) is expected to decrease the number (-15; -42 percentage points), outlet density per 10 000 capita (-0.9; -2.6) and proximity in metres (+27 m; +400 m) of outlets with visible products/advertising. The upcoming bans on vending machines and sales in supermarkets are expected to decrease the number (-12%; -31%), density (-0.7; -1.9) and proximity (+12 m; +68 m) of tobacco outlets. Further changes in the number, density and proximity (respectively) of tobacco outlets may be achieved with future sales bans in petrol stations (-7%; -0.4; +60 m) and particularly with a ban on sales in small outlets (-43%; -2.7; +970 m).

CONCLUSION

A display ban and a sales ban in small outlets will contribute most to reducing tobacco outlet visibility and availability, assuming that no market shift towards other tobacco outlets will take place.

The Philadelphia Lung Cancer Learning Community: a multi-health-system, citywide approach to lung cancer screening

BACKGROUND

Lung cancer screening uptake for individuals at high risk is generally low across the United States, and reporting of lung cancer screening practices and outcomes is often limited to single hospitals or institutions. We describe a citywide, multicenter analysis of individuals receiving lung cancer screening integrated with geospatial analyses of neighborhood-level lung cancer risk factors.

METHODS

The Philadelphia Lung Cancer Learning Community consists of lung cancer screening clinicians and researchers at the 3 largest health systems in the city. This multidisciplinary, multi-institutional team identified a Philadelphia Lung Cancer Learning Community study cohort that included 11 222 Philadelphia residents who underwent low-dose computed tomography for lung cancer screening from 2014 to 2021 at a Philadelphia Lung Cancer Learning Community health-care system. Individual-level demographic and clinical data were obtained, and lung cancer screening participants were geocoded to their Philadelphia census tract of residence. Neighborhood characteristics were integrated with lung cancer screening counts to generate bivariate choropleth maps.

RESULTS

The combined sample included 37.8% Black adults, 52.4% women, and 56.3% adults who currently smoke. Of 376 residential census tracts in Philadelphia, 358 (95.2%) included 5 or more individuals undergoing lung cancer screening, and the highest counts were geographically clustered around each health system's screening sites. A relatively low percentage of screened adults resided in census tracts with high tobacco retailer density or high smoking prevalence.

CONCLUSIONS

The sociodemographic characteristics of lung cancer screening participants in Philadelphia varied by health system and neighborhood. These results suggest that a multicenter approach to lung cancer screening can identify vulnerable areas for future tailored approaches to improving lung cancer screening uptake. Future directions should use these findings to develop and test collaborative strategies to increase lung cancer screening at the community and regional levels.

Socioeconomic differences in tobacco outlet presence, density, and proximity in four cities in the Netherlands

BACKGROUND

Previous studies found that tobacco outlets were unevenly distributed by area socioeconomic status (SES). However, evidence from continental Europe is limited. This study aims to assess differences in tobacco outlet presence, density and proximity by area SES in the Netherlands.

METHODS

All tobacco outlets in four Dutch cities (Amsterdam, and medium-sized cities Eindhoven, Haarlem, and Zwolle) were mapped between September 2019 and June 2020. We estimated associations between average property value of neighbourhoods (as an indicator of SES, grouped into quintiles) and (1) tobacco outlet presence in the neighbourhood (yes/no), (2) density (per km2), and (3) proximity to the closest outlet (in meters), using logistic and linear regression models.

RESULTS

46% of neighbourhoods contained at least one tobacco outlet. Tobacco outlets were mostly situated in city centres, but the distribution of tobacco outlets varied per city due to differences in urban structures and functions. In the medium-sized cities, each quintile higher neighbourhood-SES was associated with lower tobacco outlet presence (OR:0.71, 95%CI:0.59;0.85), lower density (B:-1.20 outlets/km2, 95%CI:-2.20;-0.20) and less proximity (B:40.2 m, 95%CI 36.58;43.83). Associations were the other way around for Amsterdam (OR:1.22, 95%CI:1.05;1.40, B:3.50, 95%CI:0.81;6.20, and B:-18.45, 95%CI:-20.41;-16.49, respectively). Results were similar for most types of tobacco outlets.

CONCLUSION

In medium-sized cities in the Netherlands, tobacco outlets were more often located in low-SES neighbourhoods than high-SES. Amsterdam presented a reverse pattern, possibly due to its unique urban structure. We discuss how licensing might contribute to reducing tobacco outlets in low-SES neighbourhoods.

Assessing the Impact of the Massachusetts Temporary Flavor Ban on Licensed Tobacco Retailers

Introduction

In 2019, the state of Massachusetts signed into law the first statewide sales restrictions of flavored ENDS/tobacco products for both physical and online shops in response to a previous executive order to curb E-Cigarette, or Vaping Product, Use Associated Lung Injury (EVALI) cases that were surging throughout the nation.

Methodology

This study obtained licensure data from the Massachusetts Department of Revenue, to observe the changes in retail licensure comparing the pre ban (October 2018-August 2019) and post ban periods (October 2020- August 2021). A series of linear regression tests were conducted on both periods using census tract data to explore potential associations with sociodemographic covariates, including median age, median household income, and population proportion by gender, age, and race/ethnicity groups.

Results

Analysis of the Massachusetts post-ban period (October 2020-August 2021) found that new tobacco retail licenses issued decreased by 52.9% (n = 968) when compared to the pre-ban period (October 2018-August 2019) of 1831. A significant positive association was discovered between change in new retailer count and proportion male population (2.48 ± 1.05, P = .018) as well as proportion Hispanic population (1.19 ± .25, P < .001) at the census tract level.

Conclusion/Discussion

Our analysis indicates that, following the temporary MA flavor sales ban, the total number of licenses decreased, though decreases were more pronounced for new licenses when compared to continuing licenses. Higher increases in new tobacco retailer density were significantly associated with concentration of male and Hispanic populations.

Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case Study

BACKGROUND

Interest in quitting smoking is common among young adults who smoke, but it can prove challenging. Although evidence-based smoking cessation interventions exist and are effective, a lack of access to these interventions specifically designed for young adults remains a major barrier for this population to successfully quit smoking. Therefore, researchers have begun to develop modern, smartphone-based interventions to deliver smoking cessation messages at the appropriate place and time for an individual. A promising approach is the delivery of interventions using geofences-spatial buffers around high-risk locations for smoking that trigger intervention messages when an individual's phone enters the perimeter. Despite growth in personalized and ubiquitous smoking cessation interventions, few studies have incorporated spatial methods to optimize intervention delivery using place and time information.

OBJECTIVE

This study demonstrates an exploratory method of generating person-specific geofences around high-risk areas for smoking by presenting 4 case studies using a combination of self-reported smartphone-based surveys and passively tracked location data. The study also examines which geofence construction method could inform a subsequent study design that will automate the process of deploying coping messages when young adults enter geofence boundaries.

METHODS

Data came from an ecological momentary assessment study with young adult smokers conducted from 2016 to 2017 in the San Francisco Bay area. Participants reported smoking and nonsmoking events through a smartphone app for 30 days, and GPS data was recorded by the app. We sampled 4 cases along ecological momentary assessment compliance quartiles and constructed person-specific geofences around locations with self-reported smoking events for each 3-hour time interval using zones with normalized mean kernel density estimates exceeding 0.7. We assessed the percentage of smoking events captured within geofences constructed for 3 types of zones (census blocks, 500 ft2 fishnet grids, and 1000 ft2 fishnet grids). Descriptive comparisons were made across the 4 cases to better understand the strengths and limitations of each geofence construction method.

RESULTS

The number of reported past 30-day smoking events ranged from 12 to 177 for the 4 cases. Each 3-hour geofence for 3 of the 4 cases captured over 50% of smoking events. The 1000 ft2 fishnet grid captured the highest percentage of smoking events compared to census blocks across the 4 cases. Across 3-hour periods except for 3:00 AM-5:59 AM for 1 case, geofences contained an average of 36.4%-100% of smoking events. Findings showed that fishnet grid geofences may capture more smoking events compared to census blocks.

CONCLUSIONS

Our findings suggest that this geofence construction method can identify high-risk smoking situations by time and place and has potential for generating individually tailored geofences for smoking cessation intervention delivery. In a subsequent smartphone-based smoking cessation intervention study, we plan to use fishnet grid geofences to inform the delivery of intervention messages.

Retailer experiences with tobacco sales bans: lessons from two early adopter jurisdictions

BACKGROUND

Beverly Hills and Manhattan Beach, California, are the first two US cities to prohibit the sale of tobacco products, passing ordinances that went into effect on 1 January 2021. We sought to learn about retailers' experiences with these laws 22 months after implementation.

METHODS

Brief in-person interviews with owners or managers of businesses that formerly sold tobacco (n=22).

RESULTS

Participant experiences varied by type of retailer. Managers at large chain stores reported no problems adapting to the law and little effect on overall sales. Many were largely indifferent to the sales bans. By contrast, most managers or owners of small, independent retailers reported losses of both revenue and customers, and expressed dissatisfaction with the laws. Small retailers in Beverly Hills objected particularly to exemptions that city made allowing hotels and cigar lounges to continue their sales, which they saw as undermining the health rationale for the law. The small geographical area covered by the policies was also a source of frustration, and retailers reported that they had lost business to retailers in nearby cities. The most common advice small retailers had for other retailers was to organise to oppose any similar attempts in their cities. A few retailers were pleased with the law or its perceived effects, including a reduction in litter.

CONCLUSION

Planning for tobacco sales ban or retailer reduction policies should include considering impacts on small retailers. Adopting such policies in as wide a geographical area as possible, as well as allowing no exemptions, may help reduce opposition.

Is the neighbourhood context important for a tobacco retailer proximity policy?

A spatial modelling approach was used to explore how a proximity limit (150 m, 300 m, and 450 m) between tobacco retailers may impact different neighbourhoods in New Zealand. Neighbourhoods were categorised into three density groups (0, 1-2, 3+ retailers). As the proximity limit increases, there is a progressive redistribution of neighbourhoods in the three density groups with, the 3+ density group incorporating fewer neighbourhoods and the 0 and 1-2 density groups conversely each consisting of more. The differing measures available at the neighbourhood level enabled our study to discern potential inequities. More directed policies targeting these inequities are needed.

The association between local tobacco retail licensing and adult cigarette smoking by race/ethnicity, income, and education in California (2012-2019)

This study investigates the association between the strength of TRL ordinances and adult cigarette use, and differences in the relationship by sociodemographic characteristics, using California as a case study. We merged geocoded data from the California Health Interview Survey with the State of Tobacco Control Reports from the American Lung Association from 2012 to 2019. Each jurisdiction was graded (A-strongest to F-weakest) based on the strength of their TRL ordinance while current cigarette use was defined as respondents who had smoked 100 or more cigarettes in their lifetime and currently smoke cigarettes every day or some days. We estimated multilevel logistic regression models to test the relationship between the strength of the TRL ordinance and current cigarette use and tested for effect modification by including interaction terms for race/ethnicity, income, and education in separate models. 11.6 % of sample participants from all years (n = 132,209) were current cigarette smokers. Adults in jurisdictions with stronger grades (A-D) had lower odds of current cigarette use (OR = 0.89, 95 % CI: 0.79-1.01) compared to adults in jurisdictions with the weakest grade (F), but the association was not statistically significant (p < 0.07). We found no evidence of effect modification by race/ethnicity, income, or education. We found limited evidence that stronger TRL ordinances were associated with lower adult cigarette smoking in California. However, future studies testing the relationship between TRL ordinances and adult smoking outcomes should examine the role of TRL fees across jurisdictions and adult cigarette use.

The Association Between Tobacco Retailer Outlet Density and Prevalence of Cigarette Smoking in Virginia

OBJECTIVE

We examine the association between tobacco retail outlet density and adult smoking prevalence at the county level in Virginia, controlling for spatial autocorrelations.

AIMS AND METHODS

Pooling data from 2020 County Health Rankings (compiled data from various sources including, but not limited to, the National Center for Health Statistics-Mortality Files, the Behavioral Risk Factor Surveillance System (BRFSS), and the American Community Survey) and Counter Tools, we conducted regression analyses that accounted for spatial autocorrelation (spatial lag models, LMlag) and adjusted for county-level access to healthcare, demographics, SES, environmental factors, risk conditions or behaviors, and population health measures.

RESULTS

Our estimates provide evidence that every increase of one tobacco retail outlet per 1000 persons was associated with 1.16 percentage points (95% CI: 0.80-1.52) higher smoking prevalence at the county level in Virginia after controlling for spatial autocorrelation. The effect of outlet density was largely explained by social determinants of health such as SES, risky conditions or behaviors, and environmental factors. We further noticed that the impact of social determinants of health were closely related and can be explained by indicators of population health (rates of mental distress (β = 1.49, 95% CI: 1.31-1.67) and physical inactivity (β = 0.07, 95% CI: 0.04-0.10).

CONCLUSIONS

Although higher tobacco outlet density was associated with an increase in county-level smoking prevalence, the impact of outlet density was largely explained by social determinants of health and mental illness. Improving well-being at the community level could be a promising strategy in future tobacco control policies.

IMPLICATION

The influence of tobacco outlet density seems to be explained by other social determinants of health and population level of mental or physical health. Thus, efforts to reduce tobacco use and consequent negative health effects should explore the impact of improving regional living standards. However, a sole focus on economic growth may not be sufficient, whereas a focus on such things as promoting work-life balance and improving overall well-being at the community level may be more.

Proximity of IQOS and JUUL points of sale to schools in Israel: a geospatial analysis

SIGNIFICANCE

Exploring proximity and density of heated tobacco product (HTP) and electronic nicotine delivery system (ENDS) points of sale (POS) to schools is critical for understanding youth marketing exposure and informing policy and enforcement to protect youth. This study examined IQOS and JUUL POS (prominent HTPs and ENDS), specifically their proximity to and density around schools in Israel.

METHODS

Using geospatial analysis and IQOS/JUUL website data, distance matrices were used to calculate distance from each school in Israel (grades 1-12) to the nearest POS and number of POS within 1 km, accounting for schools' neighbourhood socioeconomic status (SES) ranking.

RESULTS

An average of 8.7 IQOS POS and 5.2 JUUL POS were within walking distance (1 km) from schools. Average distances from schools to nearest IQOS and JUUL POS were 954 m (median=365 m) and 1535 m (median=579 m), respectively. The percentages of schools with at least one IQOS or JUUL POS within 1 km were 86% and 74%, respectively. The average numbers of POS within 1 km of schools in low-SES, middle-SES, and high-SES neighbourhoods were 7.5, 9.9, and 7.6 for IQOS and 4.1, 5.9, and 5.5 for JUUL, respectively. Median distances from schools in low-SES, middle-SES, and high-SES neighbourhoods to nearest POS were 428 m, 325 m, and 403 m for IQOS and 1044 m, 483 m, and 525 m for JUUL.

CONCLUSIONS

Youth experience high environmental exposure to IQOS and JUUL POS, particularly IQOS. POS were more densely located near schools in middle-SES neighbourhoods. Thus, regulating HTP and ENDS POS near schools and in certain neighbourhoods is key to reducing youth population impact in Israel and elsewhere.

Associations of tobacco retailer density and proximity with adult tobacco use behaviours and health outcomes: a meta-analysis

OBJECTIVE

We sought to conduct a systematic review and meta-analysis of evidence to inform policies that reduce density and proximity of tobacco retailers.

DATA SOURCES

Ten databases were searched on 16 October 2020: MEDLINE via PubMed, PsycINFO, Global Health, LILACS, Embase, ABI/Inform, CINAHL, Business Source Complete, Web of Science and Scopus, plus grey literature searches using Google and the RAND Publication Database.

STUDY SELECTION

Included studies used inferential statistics about adult participants to examine associations between tobacco retailer density/proximity and tobacco use behaviours and health outcomes. Of 7373 studies reviewed by independent coders, 37 (0.5%) met inclusion criteria.

DATA EXTRACTION

Effect sizes were converted to a relative risk reduction (RRR) metric, indicating the presumed reduction in tobacco use outcomes based on reducing tobacco retailer density and decreasing proximity.

DATA SYNTHESIS

We conducted a random effects meta-analysis and examined heterogeneity across 27 studies through subgroup analyses and meta-regression. Tobacco retailer density (RRR=2.55, 95% CI 1.91 to 3.19, k=155) and proximity (RRR=2.38, 95% CI 1.39 to 3.37, k=100) were associated with tobacco use behaviours. Pooled results including both density and proximity found an estimated 2.48% reduction in risk of tobacco use from reductions in tobacco retailer density and proximity (RRR=2.48, 95% CI 1.95 to 3.02, k=255). Results for health outcomes came from just two studies and were not significant. Considerable heterogeneity existed.

CONCLUSIONS

Across studies, lower levels of tobacco retailer density and decreased proximity are associated with lower tobacco use. Reducing tobacco supply by limiting retailer density and proximity may lead to reductions in tobacco use. Policy evaluations are needed.

Association of cigarette production and tobacco retailer density on secondhand smoke exposure in urban China

The primary aims of this study are to examine the associations between two key environmental factors-regional cigarette tobacco production and tobacco retail outlet density-and secondhand smoke (SHS) exposure in urban China and to explore the possible mechanisms that explain this association.

METHODS

A cross-sectional multistage sampling design was used to collect individual information in 21 cities in China. Environmental variables were retrieved from national databases. Multilevel logistic regression analysis was conducted to examine the associations between regional cigarette tobacco production, tobacco retail outlet density and SHS exposure. Structural equation modelling was employed to determine possible mechanisms.

RESULTS

SHS exposure prevalence defined as daily exposure to SHS for at least 15 min/day at the time of the survey was found to be 28.1% among non-smokers (95% CI 27.1 to 29.0) across the 21 cities. The multilevel logistic regressions showed that province-level per capital cigarette production (OR: 2.72 (95% CI 1.56 to 4.76)and per GDP cigarette production(OR:1.69(95% CI 1,42,2.01), and city-level tobacco retail outlet density (OR: 2.66 (95% CI 1.63 to 4.38)) were significantly associated with SHS exposure. Moreover, results showed that these associations may be explained by the level of tobacco advertisement, which influences social norms, including attitudes and behaviours toward SHS exposure.

CONCLUSIONS

Findings shed light on the role of cigarette manufacturers and retailers in producing environmental SHS pollution. To address the health and economic burden associated with SHS in China, it will be critical for the Chinese government to enact tobacco control measures consistent with the Framework Convention for Tobacco Control. Efforts should also focus on restricting the permitted density of tobacco retail outlets, and tobacco production in China.

Tobacco retail availability and cigarette and e-cigarette use among youth and adults: a scoping review

OBJECTIVE

States and localities are formulating strategies to reduce the widespread retail availability of tobacco products. Evidence of associations between retailer density/proximity and tobacco use outcomes can help inform those strategies. We conducted a scoping review on tobacco retail availability and cigarette/e-cigarette use in adults and youth, and considered variations in spatial units, measures of retailer exposure and outcomes across studies.

METHODS

A systematic search for studies examining the association between retailer density/proximity and youth and adult cigarette/e-cigarette use was conducted across MEDLINE (PubMed), Web of Science and Google Scholar through 27 August 2020 with no restrictions.

RESULTS

Thirty-five studies were included in our qualitative synthesis. While there were differences in neighbourhood definitions (eg, egocentric vs administrative), there is evidence for a positive association between higher retailer density in egocentric neighbourhoods around homes and current smoking in adults and adolescents. Administrative unit measures in some studies showed associations with adult current smoking, and adolescent lifetime and current smoking. Studies on tobacco outlet proximity to homes obtained mixed results. Density/proximity of tobacco outlets around schools showed no or inverse association with adolescent smoking, but suggests higher susceptibility to smoking. Evidence of an association between e-cigarette retail availability and e-cigarette use is limited due to a small number of studies.

CONCLUSION

The current literature provides limited empirical evidence of the association between tobacco retailer availability and smoking or e-cigarette use. More research with uniform measures of environmental exposure to tobacco retailers is needed to allow for greater comparability between studies.

Cigarette Use among Parents with Children in the Home: A Comparison of Civilian Parents and Parents with a Military Connection

We tested the null hypothesis of equal likelihood of cigarette use among parents with a military connection and parents without a military connection, and independently compared risk factors for cigarette use. We obtained National Health Interview Survey (NHIS) data from 2015 to 2019 survey waves. We delimited analysis to 2-parent households who reported children aged <18 years living with them. After a 2:1 nonparametric age matching procedure, our sample included 1106 civilian parents and 553 parents with a military connection. Using the NHIS survey-design weights, we estimated a design-based F statistic for differences in cigarette use by military connection status. We also estimated population-stratified, survey-weighted multivariable logistic regression models to determine risk factors for parent cigarette use. Whereas 6.87% parents with a military connection used cigarettes, 16.64% of age-matched civilian parents reported cigarette use. This difference was significant even after adjustment for covariates (aOR = 0.49, 95% CI = 0.32, 0.74). Recommendations for programing and policy are provided.

Using Geovisualization Tools to Examine Attitudes towards Alcohol Exposure in Urban Environments: A Pilot Study in Madrid, Spain

Pervasiveness of alcohol products and their promotion in the urban landscape may normalize alcohol consumption. This study aims to utilize geovisualization-based methods to assess attitudes towards different levels of alcohol exposure in the urban environment. We selected a typical downtown location, Lavapiés Square in Madrid, Spain, to conduct our study. First, we designed and created realistic 3D models simulating three different urban scenes with varying degrees of exposure to alcohol in the environment. Second, we used a survey on 159 adults to explore the level of acceptance of, attitudes towards, and perceptions of alcohol exposure in each scene. Participants reported a higher level of comfort in the scene with null alcohol exposure compared with the other scenes (p < 0.001). Acceptance towards alcohol exposure decreased as the level of alcohol elements increased in the scenes (p < 0.01). Acceptance also decreased when children were present in the scenes (p < 0.01). This study demonstrated that geovisualization tools provide a useful and well-suited approach to analyze perceptions of the alcohol environment. The use of geovisualization can help understand attitudes and perceptions towards the alcohol environment and may offer a way to simulate different scenarios prior to development or retrofitting.

Sociodemographic Disparities in Tobacco Retailer Density in the United States, 2000-2017

INTRODUCTION

Studies find differences in tobacco retailer density according to neighborhood sociodemographic characteristics, raising issues of social justice, but not all research is consistent.

AIMS AND METHODS

This study examined associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints (2000, 2007, 2012, and 2017) and investigated if associations remained stable over time. Data on tobacco retailers came from the National Establishment Time-Series Database. Adjusted log-linear models examined the relationship between retailer density and census tract sociodemographic characteristics (% non-Hispanic Black [Black], % Hispanic, % vacant housing units, median household income), controlling for percentage of youth, urbanicity, and US region. To examine whether the relationship between density and sociodemographic characteristics changed over time, additional models were estimated with interaction terms between each sociodemographic characteristic and year.

RESULTS

Tobacco retailer density ranged from 1.22 to 1.44 retailers/1000 persons from 2000 to 2017. There were significant, positive relationships between tobacco retailer density and the percentage of Black (standardized exp(b) = 1.05 [95% CI: 1.04% to 1.07%]) and Hispanic (standardized exp(b) = 1.06 [95% CI: 1.05% to 1.08%]) residents and the percentage of vacant housing units (standardized exp(b) =1.08 [95% CI: 1.07% to 1.10%]) in a census tract. Retailer density was negatively associated with income (standardized exp(b) = 0.84 [95% CI: 0.82% to 0.86%]). From 2000 to 2017, the relationship between retailer density and income and vacant housing units became weaker.

CONCLUSIONS

Despite the weakening of some associations, there are sociodemographic disparities in tobacco retailer density from 2000 to 2017, which research has shown may contribute to inequities in smoking.

IMPLICATIONS

This study examines associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints from 2000 to 2017. Although some associations weakened, there are sociodemographic disparities in tobacco retailer density over the study period. Research suggests that sociodemographic disparities in retailer density may contribute to inequities in smoking. Findings from this study may help identify which communities should be prioritized for policy intervention and regulation.

Educational inequalities in exposure to tobacco promotion at the point of sale among adolescents in four Dutch cities

This study aimed to assess educational differences in adolescents' exposure to tobacco outlets. Data were collected among 312 13-17-year-old non-smoking secondary school students in four Dutch cities. In a smartphone app, exposure (≤10 m from outlet) was measured using GPS and participants reported their educational track (pre-vocational vs. pre-university). Associations were estimated in negative binomial regression models. Mean exposure to tobacco outlet was 16.6 times in 14 days. Pre-vocational education was associated with higher exposure compared to pre-university education (IRR:1.46, 95%CI:1.08-1.98), especially around school (IRR:2.61,95%CI:1.50-4.55). These differences may contribute to socioeconomic inequalities in smoking.

Neighborhood Inequities in Tobacco Retailer Density and the Presence of Tobacco-Selling Pharmacies and Tobacco Shops

Studies document inequitable tobacco retailer density by neighborhood sociodemographics, but these findings may not be robust to different density measures. Policies to reduce density may be less equitable depending on how the presence of store types differs by neighborhood characteristics. We built a 2018 list of probable tobacco retailers in the United States and calculated four measures of density for all census tracts (N = 71,495), including total count, and number of retailers per 1,000 people, square mile, and kilometers of roadway. We fit multivariable regression models testing associations between each density measure and tract-level sociodemographics. We fit logistic regression models testing associations between sociodemographics and the presence of a tobacco-selling pharmacy or tobacco shop. Across all measures, tracts with a greater percentage of residents living below 150% of the federal poverty level (FPL) had higher density. A higher percentage of Black residents, Hispanic or Latino residents, and vacant housing was inconsistently associated with density across measures. Neighborhoods with a greater percentage of Black residents had a lower odds of having a pharmacy (adjusted odds ratio [aOR] = 0.96, 95% confidence interval [CI; 0.95, 0.97]) and tobacco shop (aOR = 0.87, CI [0.86, 0.89]), while those with a greater percentage of residents living below 150% FPL had greater odds of having a tobacco shop (aOR = 1.18, CI [1.16, 1.20]). Researchers and policymakers should consider how various measures of retailer density may capture different aspects of the environment. Furthermore, there may be an inequitable impact of retailer-specific policies on tobacco availability.

Outdoor smoking as a nuisance to non-smokers: The case for smoke-free outdoor public spaces in dense urban areas

INTRODUCTION

Despite the growing number of smoke-free spaces, many non-smokers continue to be involuntarily exposed to secondhand smoke outdoors and on public streets. Both theory and research suggest that people living in densely populated urban areas are more likely to smoke than those living in less densely populated areas. Consequently, non-smokers in densely populated urban areas might be more likely to be exposed and feel annoyed by secondhand smoke outdoors. We investigated whether the extent to which non-smokers feel annoyed by secondhand smoke exposure in outdoor public spaces is related to urban population density.

METHODS

We used cross-sectional survey data from the Netherlands 'Module Substance Use' survey (2020 data, n=9375). This is a nationally representative sample of the adult population in the Netherlands. Using logistic regression models, we investigated whether urban population density predicts both smoking and non-smokers' annoyance to secondhand smoke exposure outdoors.

RESULTS

We found that smoking rates were associated with urban population density. In the Netherlands, people living in extremely population-dense urban areas were more likely to smoke than those living in non-urban areas (AOR=1.59; 95% CI: 1.25-2.02, p<0.001). Feeling annoyed by secondhand smoke outdoors was also associated with urban population density: non-smokers living in extremely population-dense urban areas were more likely to be annoyed than respondents living in non-urban areas (AOR=1.65; 95% CI: 1.34-2.02, p<0.001).

CONCLUSIONS

These cross-sectional data highlight the importance of comprehensive local tobacco control policy programs that include creating smoke-free outdoor public spaces. This need for such smoke-free outdoor public spaces might be particularly strong in densely populated areas.

Association of tobacco retailer count with smoking population versus vaping population in California (2019)

BACKGROUND

Access to tobacco products, including vape products, from local brick-and-mortar stores influences the exposure, uptake, and use of these products in local communities.

METHODS

Licensed tobacco retailers in California were classified as specialized tobacco/vape stores or non-specialized stores by obtaining categories published on Yelp. California smoking and vaping prevalence data were obtained from the 500 cities project and ESRI community analyst tool respectively. A series of simple linear regression tests were performed, at the zip code level, between the retailer count in each store category and smoking/vaping population. The Getis-Ord Gi* and Anselin Local Moran's I statistics were used for characterization of tobacco retail density hotspots and cold spots.

RESULTS

The association between CA smoking/vaping population and number of tobacco retailers was statistically significant for all store categories. Variability in smoking population was best explained by variability in non-specialized storefronts(R2=0.84). Spatial variability in tobacco-only storefronts explained the least proportion of variability in the overall smoking population. Similar results were obtained specific to vaping population, although the proportion of population explained by variability in the number of non-specialized storefronts was comparatively lower(R2=0.80).

CONCLUSIONS

Localities with greater numbers of non-specialized tobacco retailers had higher rates of smoking/vaping populations, and this association was much stronger for localities with greater numbers of specialized retailers. Non-specialized storefronts may represent convenient access points for nicotine products, while specialized storefronts may represent critical access points for initiation. Hence, regulations that address the entirety of the tobacco/vaping retail environment by limiting widespread access from non-specialized stores and reducing appeal generated by specialized retailers should be incorporated in future tobacco regulatory science and policymaking.

Associations between disparities in tobacco retailer density and disparities in tobacco use

Research has separately established that there are disparities in tobacco use, that greater tobacco retailer density (TRD) is positively associated with tobacco use, and that TRD is greater in high poverty and high racial/ethnic minority neighborhoods. Connecting these topics, this study examined the association between disparities in TRD and disparities in the prevalence of tobacco use among adults and youth. We obtained Ohio data on tobacco use from two statewide adult surveys and two sub-state regional youth surveys (2017-2019). Licensed tobacco retailers in Ohio were geocoded within census tracts. Disparity in TRD within regions across the state was defined as the ratio of TRD in high vs. low poverty (and in high vs. low racial/ethnic minority) census tracts per region. Disparity in cigarette smoking (adults) and any tobacco use (youth) was defined as the ratio of use prevalence among socioeconomically disadvantaged vs. non-disadvantaged (and racial/ethnic minority vs. non-minority) individuals. We estimated Pearson correlation coefficients to assess the linear relationship between the TRD disparity ratios and tobacco use disparity ratios. Poverty-based and race/ethnicity-based TRD disparities were positively associated with smoking disparities among adults. Negative associations between TRD disparities and tobacco use disparities were found among youth. To our knowledge, this is the first analysis directly linking TRD disparities and tobacco use disparities. Different adult and youth findings may be due to trends by age and product preferences. For adults in particular, this analysis suggests a detrimental effect of the tobacco retail environment on disadvantaged populations.

Associations of County Tobacco Retailer Availability With U.S. Adult Smoking Behaviors, 2014-2015

INTRODUCTION

Greater availability of tobacco product retailers in an area may be associated with smoking behaviors, and the majority of people who smoke purchase their cigarettes at gas stations and convenience stores. This cross-sectional study investigates the associations of overall tobacco retailer density and gas/convenience density with adult smoking behaviors.

METHODS

This study built a list of tobacco retailers in 2014 and calculated the county-level number of retailers per 1,000 people. Individual-level smoking behavior data were drawn from the 2014-2015 Tobacco Use Supplement for a sample of adults (n=88,850) residing in metropolitan counties across the U.S. General estimating equation models were fit to investigate the associations between retailer density and cigarette smoking behaviors (smoking status, quit attempt, quit length). Analyses were conducted in 2020.

RESULTS

A greater number of tobacco retailers (AOR=1.63, 95% CI=1.35, 1.96) and gas stations and convenience stores (AOR=3.29, 95% CI=2.39, 4.52) per 1,000 people were each associated with a higher odds of a respondent smoking every day than the odds of a respondent not smoking. In addition, both measures were associated with a higher odds of a respondent being an every-day than being a some-day smoker. Associations for gas/convenience density were similar in models that additionally controlled for other tobacco retailers (excluding gas/convenience). Study results did not support associations between retailer density and cessation.

CONCLUSIONS

Tobacco retailer density, especially gas/convenience density, is correlated with daily smoking, the most harmful tobacco use behavior. Calculating tobacco retailer density using gas/convenience stores may be a feasible proxy for overall tobacco retailer density.

Sociodemographic inequities in tobacco retailer density: Do neighboring places matter?

We apply a spatial perspective to measure the extent to which the 2018 U.S. racial, ethnic, and socioeconomic composition of census tracts were each associated with tobacco retailer density within a tract and in its neighboring tracts (n = 71,409). A 10-percentage point increase in the Black population was associated with 0.07 (p < 0.05) more retailers per square mile within a focal tract and 0.35 (p < 0.001) more retailers per square mile in its neighbors on average. A greater percent of Hispanic/Latino residents was associated with more retailers per square mile, both within a focal tract (b = 0.95, p < 0.001) and in its neighbors 0.39 (p < 0.001). Inverse associations were observed for percent white. We also observed inequities by socioeconomic status. The overall magnitude of inequities may be underestimated if the spatial dependence between focal tracts and their neighbors are not taken into consideration. Policymakers should prioritize interconnected geographic areas experiencing high racialized and socioeconomic segregation when designing and implementing policies to reduce retail tobacco product availability.

Trends in the Number and Type of Tobacco Product Retailers, United States, 2000-2017

INTRODUCTION

Tobacco product retailers provide access to tobacco products and exposure to tobacco marketing. Without a national tobacco retailer licensing system in the United States (U.S.), there are no estimates of national trends in tobacco retailer numbers and store type over time.

METHODS

We developed a protocol to identify likely tobacco retailers across the U.S. between 2000-2017 using industry codes and retailer names in the annual National Establishment Time Series (NETS) database. We calculated annual counts of tobacco retailers in seven store type categories, and annual numbers of tobacco retailers that opened and closed.

RESULTS

We estimate that there were 317,492 tobacco product retailers in 2000; the number grew to 412,536 in 2009 before falling to 356,074 in 2017, for a net 12% increase overall. Gas/convenience stores and grocery stores accounted for more than two thirds of all retailers. On average, new openings accounted for 8.0% of the total retailers, while 7.3% of retailers closed or stopped selling tobacco each year, with stronger market volatility following the Great Recession. Since 2011, there was a disproportionate reduction in tobacco-selling pharmacies, and an increase in both tobacco-specialty shops and tobacco-selling discount stores.

CONCLUSIONS

During two decades when smoking declined, tobacco retailer availability increased in the U.S. The economic climate, corporate and public policies, and new tobacco products may all contribute to trends in tobacco retailer availability. State and local jurisdictions considering tobacco retailer policies may find retailer trend information useful for forecasting or evaluating potential policy impacts.

IMPLICATIONS

This study provides historic data tracking tobacco retailers in the U.S. between 2000-2017, documenting trends that unfolded as the general economic market contracted and grew, with greater regulation of the tobacco retailer environment. These data provide a context for better understanding future changes in the tobacco retailer market. In addition, the protocol established in this study could be applied in any U.S.-based location without tobacco retailer licensing to allow identification of stores and tracking of trends.

Tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system

INTRODUCTION

An emerging body of research has developed around tobacco retailer density and its contribution to smoking behavior. This cross-sectional study aimed to determine the association between tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system in place.

METHODS

A local government database (updated 2018) of listed tobacco retailers (n=93) was accessed and potential unlisted tobacco retailers (n=230) were added using online searches. All retailers (n=323) were visited in 2019 and GPS coordinates of retailers that sold tobacco (n=125) were assigned to suburbs in ArcMap. A community survey conducted in the Local Government Area provided smoking and sociodemographic data amongst adult respondents (n=8981). Associations between tobacco retailer density (calculated as the number of retailers per km² based on respondents’ suburb of residence) and daily, occasional and experimental smoking were assessed using multilevel logistic regression analysis. Separate models with and without covariates were undertaken.

RESULTS

Without adjusting for possible confounders, living in suburbs with greater retailer density did not increase the odds of daily smoking (OR=1.01; 95% CI: 0.92–1.12), occasional smoking (OR=1.05; 95% CI: 0.94–1.18), or experimental smoking (OR=0.98; 95% 0.92– 1.05). However, after adjustment, living in suburbs with greater retailer density increased the odds of occasional smoking behavior (AOR=1.37; 95% CI: 1.10–1.71) but not daily or experimental smoking.

CONCLUSIONS

This study found a significant positive association between tobacco retailer density and the likelihood of occasional smoking in a rural Australian jurisdiction without a tobacco retailer licensing system in place. The findings strengthen calls for the introduction of a comprehensive, positive tobacco retailer licensing system to provide a framework for improving compliance with legislation and to reduce the overall availability of tobacco products in the community.