Retailer density reduction approaches to tobacco control: A review

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.

How Complete Are Tobacco Sales Data? Assessing the Comprehensiveness of US Tobacco Product Retail Sales Data Through Comparisons to Excise Tax Collections

INTRODUCTION

Sales data analyses are increasingly used to guide tobacco regulatory science. However, such data do not cover specialist retailers like vape shops or tobacconists. Understanding the extent of the cigarette and electronic nicotine delivery system (ENDS) markets covered by sales data is critical to establishing such analyses' generalizability and potential biases.

METHODS

Using retail sales data from Information Resources Incorporated (IRI) and Nielsen, we conduct tax gap analyses comparing states' cigarette and ENDS tax revenue to tax collection estimates based on retail sales data. For the 23 US states in both retail sales datasets, cigarette tax gap analyses were conducted for each year from 2018 to 2020. Four (Louisiana, North Carolina, Ohio, and Washington) of those 23 states levied per-unit ENDS taxes and provided monthly tax revenue data covering January 2018 to October 2021, where we conducted monthly tax gap analyses for both cigarettes and ENDS.

RESULTS

Across states covered by both sales datasets, annual mean cigarette sales in IRI and Nielsen account for 92.3% (95% CI = 88.3% to 96.2%) and 84.0% (95% CI = 79.3% to 88.7%) of state cigarette tax revenue, respectively. Monthly average coverage rates for ENDS sales were lower, ranging from 42.3% to 86.1% for IRI and 43.6% to 88.5% for Nielsen, but remained stable over time.

CONCLUSIONS

IRI and Nielsen sales data capture almost the entire US cigarette market and a substantial but lower portion of the US ENDS market. With proper care to address shortcomings, sales data analyses can capture changes in the US market for these tobacco products.

IMPLICATIONS

Policy evaluations and analyses using e-cigarette and cigarette sales data are often criticized because these data do not cover online sales or sales by specialty retailers like tobacconists. Cigarette sales data consistently cover nearly 90% of taxed sales, while e-cigarette sales data cover around 50% of taxed volumes. Retail sales data capture nearly all cigarette sales and a substantial portion of ENDS sales with relatively stable rates of coverage over time, supporting their continued use in tobacco surveillance and policy evaluation work.

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.

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.

Restricting supply of tobacco products to pharmacies: a scoping review

OBJECTIVE

We synthesised the published literature on proposals to restrict tobacco supply to pharmacies, covering (1) policy concept/rationale/attempts, (2) policy impact and implementation and (3) policy and research recommendations.

DATA SOURCES

We searched eight databases (PubMed, CINAHL, Scopus, Web of Science, Embase, IPA, ProQuest and OATD) for publications with at least an English-language abstract. We searched reference lists of included publications manually.

STUDY SELECTION

One author screened all publications, and a second author reviewed a 10% subset. We focused on approaches to restrict the supply of tobacco products to pharmacies, without any restrictions on study design, location, participants or publication date.

DATA EXTRACTION

Data extraction adhered to the JBI Scoping Review Methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

DATA SYNTHESIS

We included 18 publications. Among the 13 studies conducted in specific geographical contexts, 8 were from Aotearoa/New Zealand. Most publications (n=8) focused on effectiveness domains, indicating potential reductions in retailer density, smoking prevalence, disease burden, cost and increased opportunities for cessation advice. Seven explored policy acceptability among experts, pharmacists and people who smoke. Publications noted that pharmacy-only supply aligns with other programmes involving pharmacists, such as needle exchange programmes, but conflicts with efforts to phase out tobacco sales from the US and Canadian pharmacies.

CONCLUSIONS

Progress in tobacco retailing policy (eg, licensing, retailer incentives) and research (eg, assessment of policy equity and durability, application in other geographical contexts) are needed before a pharmacy-only tobacco supply model would be feasible.

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.

Assessing the profile of support for potential tobacco control policies targeting availability in Great Britain: a cross-sectional population survey

AIM

To examine the level of support for tobacco availability policies across Great Britain (GB) and associations between support for policy and sociodemographic, smoking and quitting characteristics.

METHODS

A cross-sectional representative survey (the Smoking Toolkit Study) of adults in GB (n=2197) during September 2021. Logistic regressions estimated the associations between support for each policy and sociodemographic and smoking characteristics.

FINDINGS

There was majority support for requiring retailers to have a license which can be removed if they sell to those under-age (89.6%) and for restrictions on the sale of cigarettes and tobacco near schools (69.9%). More supported than opposed raising the legal age of sale of cigarettes and tobacco to 21 (49.2% supported; 30.7% opposed; 20.1% unsure) and reducing the number of retailers selling tobacco in neighbourhoods with a high density of tobacco retailers (46.5% supported; 23.3% opposed; 30.2% unsure). More opposed than supported a ban on the sale of cigarettes and tobacco to everyone born after a certain year from 2030 onward (a 'tobacco-free generation') (41.3% opposed; 34.5% supported; 24.2% unsure). Age was positively associated with support for raising the age of sale and inversely associated with requiring tobacco retailer licenses. Women were more likely to support raising the age of sale and reducing the number of retailers.

CONCLUSIONS

Requiring tobacco retailer licensing and restrictions on sales near schools received majority support. Other tobacco availability policies received substantial support despite considerable opposition.

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.

Impact and Equity of New York City's Tobacco Retail Reduction Initiative

INTRODUCTION

High levels of tobacco retailer density in communities is associated with a range of tobacco use behaviors and is a key structural driver of tobacco-related disparities. This study evaluates the impacts of New York City's (NYC) novel policy intervention to cap tobacco retail licenses on tobacco retailer density levels and neighborhood inequities in tobacco access.

METHODS

Using geocoded tobacco retail licensing data from 2010 to 2022, Bayesian conditional autoregressive Poisson panel models estimated the association between policy implementation in 2018 and retailer density per 1,000 population, controlling for neighborhood-level sociodemographic factors. Data were analyzed in 2023.

RESULTS

The number of tobacco retail licenses decreased from 9,304 in 2010 to 5,107 in 2022, with the rate of decline significantly accelerating post-policy (-14·2% versus -34·2%). Policy effects were stronger in districts with lower income and greater proportions of non-Hispanic Black residents.

CONCLUSIONS

NYC's policy substantially reduced tobacco retailer density and appeared to close longstanding patterns of inequity in tobacco access, serving as a rare example of a tobacco control policy that may effectively reduce tobacco-related disparities. This emergent approach to restructure tobacco retail in communities may reach populations that have not benefitted from traditional tobacco control policies and should be considered by other localities.

The Association Between the License Fee Increase and the Density of Tobacco Retailers in California-A Segmented Interrupted Time-Series Analysis by Income and Race/Ethnicity

INTRODUCTION

On May 9, 2016, the State of California passed a law to increase the licensing fee for tobacco retailers from a one-time-only fee of $100 to an annual fee of $265, effective on June 9, 2016. This study investigates the association between this fee increase and retailer densities by neighborhood income and race/ethnicity characteristics.

METHODS

We obtained quarterly data on the number of active tobacco retailer licenses from 2011 to 2020 in every zip code in California from the California Department of Tax and Fee Administration. These data were then linked to zip code-level income, race/ethnicity, and population measures. We used a single-group segmented interrupted time-series analysis to assess the association between the increase in licensing fees and retailer densities by neighborhood income and race/ethnicity.

RESULTS

After the implementation of the annual licensing fees, the retailer density decreased both immediately and gradually. Specifically, the retailer density dropped by 0.47 in the first quarter following the intervention. Compared to the pre-intervention time trend, the retailer density decreased quarterly by 0.05. Furthermore, the impacts of increasing licensing fees were more pronounced in low-income and the majority Black zip codes.

CONCLUSIONS

Given that higher smoking prevalence is associated with greater tobacco outlet density, the licensing fee increase could be an effective policy tool to reduce tobacco use among economically disadvantaged and minority Black communities, thereby addressing tobacco-use disparities.

IMPLICATIONS

This study used the single-group segmented interrupted time-series analysis to assess the association between the licensing fee increase and tobacco retailer densities by neighborhood income and race/ethnicity. We found that this licensing fee increase was associated with reduced retailer densities and the total number of active retailers right after the implementation. We further found that the annual licensing fee policy had a continuous effect in reducing tobacco retailer densities in all zip codes. The impacts of increasing licensing fees were more pronounced in low-income and majority of Black zip codes.

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.

Use of geographically weighted regression models to inform retail endgame strategies in South Korea: application to cigarette and ENDS prevalence

BACKGROUND

Reducing tobacco retailer availability is a key tobacco endgame policy. The development and evaluation of retail-based policies require spatial methodologies. We modelled the prevalence of adult cigarette and electronic nicotine delivery system (ENDS) use according to tobacco retailer density, considering geographical variations.

METHODS

Registration data for tobacco retail businesses, a population-representative survey of South Koreans aged ≥19 years, and population and land area data were used. We merged the datasets according to geographical units. Ordinary least squares (OLS) and geographically weighted regression (GWR) analyses were conducted to model cigarette and ENDS use prevalence, respectively.

FINDINGS

Tobacco retailer density was associated with increased cigarette use prevalence in the OLS model (β=2.19, p=0.02). A 1.9-fold difference by region was identified for the coefficient, indicating an association with tobacco retailer density (minimum 1.39, maximum 2.65), in the GWR analysis. No significant association was present between tobacco retailer density and ENDS prevalence in either the OLS (β=0.24, p=0.37) or the GWR model (minimum 0.20, maximum 0.28).

CONCLUSION

Our results suggest the importance of using spatial methods to develop and evaluate retail-based endgame policies. The establishment of tobacco retailer databases by the introduction of licensing is necessary to develop and evaluate the effectiveness of tobacco retailer regulations.

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.

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.

Area-level sociodemographic differences in tobacco availability examined with nationwide tobacco product retail licence data in Finland

BACKGROUND

Differences in tobacco retailer density between areas by sociodemographic composition have been observed. However, little research comes from European jurisdictions and from countries with a tobacco retail licensing system. In Finland, the system consists of criteria for retailers and supervision fees.

METHODS

The tobacco product retail licence data and sociodemographic data were retrieved from corresponding Finnish authorities. Area-level tobacco availability was measured as the presence of a retailer and as the number of retailers per 1000 inhabitants by postcode area. Sociodemographic indicators included median income, percentage of inhabitants in the lowest income tertile, percentage of adults with higher education and unemployment rate. Analyses were based on logistic regression and Ordinary Least Squares regression with log-transformed density.

RESULTS

Lower area-level sociodemographic composition was mainly associated with higher tobacco availability. Income was the strongest correlate of the tobacco retailer availability: areas with higher median income had lower odds of having a tobacco retailer (OR 0.54, 95% CI 0.48 to 0.61 per €1000) and lower retailer density (-4.4% per €1000, Cohen's f=0.51). Areas with a greater proportion of people in the lowest income category had higher densities of tobacco retailers (+2.8% per percentage point, Cohen's f=0.07). Other sociodemographic indicators showed inconsistent associations with retailer presence and density.

CONCLUSION

Tobacco availability can be higher in areas with lower sociodemographic composition also in a country with a comprehensive tobacco retail licensing system and small income inequalities. Retailing policies should be further developed to reduce tobacco availability and narrow inequalities in tobacco use.

Birth Cohort‒Specific Smoking Patterns by Family Income in the U.S

INTRODUCTION

In the U.S., low-income individuals generally smoke more than high-income individuals. However, detailed information about how smoking patterns differ by income, especially differences by birth cohort, is lacking.

METHODS

Using the National Health Interview Survey 1983-2018 data, individual family income was calculated as a ratio of the federal poverty level. Missing income data from 1983 to 1996 were imputed using sequential regression multivariate imputation. Age‒period‒cohort models with constrained natural splines were used to estimate annual probabilities of smoking initiation and cessation and smoking prevalence and intensity by gender and birth cohort (1900-2000) for 5 income groups: <100%, 100%-199%, 200%-299%, 300%-399%, and ≥400% of the federal poverty level. Analysis was conducted in 2020-2021.

RESULTS

Across all income groups, smoking prevalence and initiation probabilities are decreasing by birth cohort, whereas cessation probabilities are increasing. However, relative differences between low- and high-income groups are increasing markedly, such that there were greater declines in prevalence among those in high-income groups in more recent cohorts. Smoking initiation probabilities are lowest in the ≥400% federal poverty level group for males across birth cohorts, whereas for females, this income group has the highest initiation probabilities in older cohorts but the lowest in recent cohorts. People living below the federal poverty level have the lowest cessation probabilities across cohorts.

CONCLUSIONS

Smoking prevalence has been decreasing in all income groups; however, disparities in smoking by family income are widening in recent birth cohorts. Future studies evaluating smoking disparities should account for cohort differences. Intervention strategies should focus on reducing initiation and improving quit success among low-income groups.

Effects of neighborhood features on healthy aging in place: the composition and context of urban parks and traditional local coffeeshops in Singapore

BACKGROUND

Healthy aging in place is affected by what the neighborhood provides for older adults. The mixed-methods ethnographic study explored the built environmental and contextual effects of urban parks and traditional local coffeeshops (kopitiam) on health practices among older adults in Singapore.

METHODS

A door-to-door survey with 497 older adults from 32 residential blocks in a public housing town assessed exercise and smoking. The walking distances from the residential blocks to the facilities were calculated. Regression analysis examined the associations between the distance and rates of exercise and smoking. Ethnographic assessment data contextualized the quantitative findings.

RESULTS

Older adults' exercise was associated with proximity to an urban park but not traditional local coffeeshops. High rates of smoking were clustered in the housing blocks close to the coffeeshops, which provided casual drinking places with smoking tables. The proximity to the coffeeshops was significantly associated with increased smoking and decreased exercise. A walking distance of 200 m to the park and coffeeshops was found to discriminate the outcomes.

CONCLUSIONS

The findings suggested that walking distances of a few blocks influenced health behaviors among older adults. Their smoking habits appeared to be maintained through environmental features and cultural norms attached to the coffeeshops. Policy of urban planning and redevelopment for the aging population needs to consider the socioecology of healthy aging in place.

The changing retail landscape for tobacco: dollar stores and the availability of cheap cigarettes among tobacco-related priority populations

INTRODUCTION

Dollar stores are rapidly altering the retail landscape for tobacco. Two of the three largest chains sell tobacco products in more than 24 000 stores across the USA. We sought to examine whether dollar stores are more likely to be located in disadvantaged neighbourhoods and whether dollar stores charge less for cigarettes than other tobacco retailers.

METHODS

Data were collected from a statewide random sample of licensed tobacco retailers in California (n=7678) in 2019. Logistic regression modelled odds of a census tract containing at least one dollar store as a function of tract demographics. Linear mixed models compared price of the cheapest cigarette pack by store type, controlling for tract demographics.

RESULTS

Census tracts with lower median household income, rural status and higher proportions of school-age youth were more likely to contain at least one dollar store. The cheapest cigarette pack cost less in dollar stores compared with all store types examined except tobacco shops. Estimated price differences ranged from $0.32 (95% CI: 0.14 to 0.51) more in liquor stores and $0.39 (95% CI: 0.22 to 0.57) more in convenience stores, to $0.82 (95% CI: 0.64 to 1.01) more in small markets and $1.86 (95% CI: 1.61 to 2.11) more in stores classified as 'other'.

CONCLUSIONS

Dollar stores may exacerbate smoking-related inequities by contributing to the availability of cheaper cigarettes in neighbourhoods that are lower income, rural and have greater proportions of youth. Pro-equity retail policies, such as minimum price laws and density reduction policies, could mitigate the health consequences of dollar stores' rapid expansion.

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.

Variations in Tobacco Retailer Type Across Community Characteristics: Place Matters

Introduction

The density of tobacco retailers varies by community characteristics such as poverty levels or racial and ethnic composition. However, few studies have investigated how specific types of tobacco retailers vary by community characteristics. Our objective was to assess how the types of tobacco retailers in Ohio varied by the characteristics of the communities in which they were located.

Results

For all US Census tracts, convenience stores were the most common type of retailer selling tobacco. Yet, the prevalence of convenience stores was higher in high-poverty urban tracts than in low-poverty urban tracts. Discount stores were the second-most common type of tobacco retailer and were most prevalent in rural tracts and high-racial and ethnic minority urban tracts. Grocery stores, pharmacies, and vape or hookah shops typically had the highest prevalence in more advantaged tracts.

Conclusion

Our findings demonstrate that the distribution of specific retailer types varies by community characteristics. The distribution of these retailer types has implications for product availability and price, which may subsequently affect tobacco use and cessation. To create equitable outcomes, policies should focus on retailers such as convenience and discount stores, which are heavily located in communities experiencing tobacco-related health disparities.

Spatial Disparities: The Role of Nativity in Neighborhood Exposure to Alcohol and Tobacco Retailers

Studies of retail environment, one of the social determinants of health, document racial/ethnic disparities in exposure to alcohol and tobacco (A and T) retailers, but have largely overlooked nativity. We examined associations between A and T retailer density and rates of foreign-born Latinx and foreign-born Asian residents in California census tracts (N = 7888), using spatial regressions and controlling for population and ecological confounders (e.g., population density, zoning, residential instability, urbanicity). Socio-demographic data came from the American Community Survey (2012-2016); census tract density of A and T retailers came from geocoded addresses from state license data for off-sale alcohol distributors and purchased data on tobacco retailers from a commercial provider. Models predicting A and T tract retailer density showed that the rate of foreign-born Latinx residents was associated with higher tobacco retailer density but lower alcohol retailer density, and demonstrate no significant associations between rate of foreign-born Asian residents tobacco and alcohol retail density. Retail environment could contribute to observed declines in immigrant health over time in the US and across generations.

Gender differences in the price elasticity of demand for waterpipe and cigarette smoking in Lebanon, Jordan and Palestine: a volumetric choice experiment

OBJECTIVES

This study assessed the extent to which the elasticity of cigarette and waterpipe tobacco products differs between men and women. We also explored the levels of substitution and complementarity in tobacco products among men and women.

SETTING

The study examines tobacco elasticities in three Arab countries: Lebanon, Jordan and the West Bank of Palestine.

PARTICIPANTS

We used data from nationally representative surveys of adults aged ≥18 years in Lebanon (n=1680), Jordan (n=1925) and Palestine (n=1679). The proportion of women was 50.0% of the sample in Lebanon and Palestine, and 44.6% in Jordan.

PRIMARY AND SECONDARY OUTCOME MEASURES

A zero-inflated Poisson regression model estimated own-price and cross-price elasticities for two variations of cigarettes and five variations of waterpipe tobacco products. Elasticities were measured based on eight scenarios of prices.

RESULTS

Demand for waterpipe tobacco products was elastic for both men and women. The cross-price elasticities in the three countries indicate the existence of substitution between cigarettes and waterpipe products and by different varieties within each of the two tobacco products. Gender differences varied across the three countries whereby higher cross-price elasticities were observed for women in Jordan and Palestine. For example, the price elasticity for discount waterpipe was -1.4 and -0.6 for women and men in Jordan, respectively.

CONCLUSIONS

Results on the elasticity of demand for tobacco products and the existence of substitution between tobacco products reveal the higher responsiveness of men and women to changes in tobacco prices. This should be taken into consideration in tobacco control strategies particularly when reducing tobacco consumption via taxation policies.

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.

Draining the tobacco swamps: Shaping the built environment to reduce tobacco retailer proximity to residents in 30 big US cities

Combining geospatial data on residential and tobacco retailer density in 30 big US cities, we find that a large majority of urban residents live in tobacco swamps - neighborhoods where there is a glut of tobacco retailers. In this study, we simulate the effects of tobacco retail reduction policies and compare probable changes in resident-to-retailer proximity and retailer density for each city. While measures of proximity and density at baseline are highly correlated, the results differ both between effects on proximity and density and across the 30 cities. Context, particularly baseline proximity of residents to retailers, is important to consider when designing policies to reduce retailer concentration.

Closing the gaps in tobacco endgame evidence: a scoping review

OBJECTIVE

Tobacco endgame policies aim to rapidly and permanently reduce smoking to minimal levels. We reviewed evidence syntheses for: (1) endgame policies, (2) evidence gaps, and (3) future research priorities.

DATA SOURCES

Guided by JBI scoping review methodology, we searched five databases (PubMed, CINAHL, Scopus, Embase and Web of Science) for evidence syntheses published in English since 1990 on 12 policies, and Google for publications from key national and international organisations. Reference lists of included publications were hand searched.

STUDY SELECTION

Two reviewers independently screened titles and abstracts. Inclusion criteria were broad to capture policy impacts (including unintended), feasibility, public and stakeholder acceptability and other aspects of policy implementation.

DATA EXTRACTION

We report the results according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

DATA SYNTHESIS

Eight policies have progressed to evidence synthesis stage (49 publications): mandatory very low nicotine content (VLNC) standard (n=26); product standards to substantially reduce consumer appeal or remove the most toxic products from the market (n=1); moving consumers to reduced risk products (n=8); tobacco-free generation (n=4); ending sales (n=2); sinking lid (n=2); tax increases (n=7); and restrictions on tobacco retailers (n=10). Based on published evidence syntheses, the evidence base was most developed for a VLNC standard, with a wide range of evidence synthesised.

CONCLUSIONS

VLNC cigarettes have attracted the most attention, in terms of synthesised evidence. Additional focus on policies that reduce the availability of tobacco is warranted given these measures are being implemented in some jurisdictions.

Municipal regulation of cannabis and public health in Canada: A comparison of Alberta, Ontario, and Québec

Canada legalized nonmedical cannabis in October 2018, but significant variations in municipal regulations exist. This study explored the variations that exist and pondered their potential public health consequences. A comparative analysis was completed on the regulations and guidelines that addressed retailers' location and public consumption in the municipalities of Alberta, Ontario, and Québec. Municipal regulations that addressed the location of retailers were more numerous and extensive in Alberta and Ontario (in the context of provincial private retail models) than in Québec (government-based model). Municipalities in Alberta added more restrictions to public consumption laws as compared to municipalities in Ontario and in Québec. These additions were made to Alberta's and Ontario's provincial-level smoking and vaping bans which used tobacco-inspired frameworks, and to Québec's ban on smoking and vaping in all public spaces. The comparative analysis showed the importance of considering municipal cannabis regulations when studying the impact of legalization, given the significant variations that exist. Policy makers should be made aware of these variations in the regulation of cannabis in order to limit health harms and further social inequalities.

Retail endgame strategies: reduce tobacco availability and visibility and promote health equity

An increasing number of countries have set tobacco endgame goals that target dramatic reductions in smoking prevalence. To achieve those targets and promote health equity, policies are needed to reduce the retail supply and visibility of tobacco products. Focusing on retailer reduction strategies and tobacco display bans, this special communication reviews solution-oriented research about the retail environment. It highlights examples of policy implementation and identifies data needs and research gaps for designing and evaluating retail policies to promote population health equitably.

Factors Associated with Quit Interest and Quit Attempts among Young Adult JUUL Users

Despite reports suggesting young people are interested in quitting e-cigarettes, little work has examined predictors of quit outcomes. This study aimed to identify factors associated with quit outcomes among JUUL e-cigarette users in a longitudinal sample of young adults. We assessed undergraduate past-30-day JUUL users during autumn 2018 (N = 225); Our outcomes included short-term quit attempts and interest (spring 2019), and long-term quit attempts (spring 2020). We used logistic regression to examine the associations between our outcomes and JUUL use characteristics, other tobacco use, and sociodemographic factors. Findings indicated 76% of users were interested in quitting JUUL, and more than 40% reported a quit attempt. Quit outcomes were not related to sociodemographics. Short-term quit outcomes were more likely among freshmen and less likely among recent cigarillo users. Heavy JUUL users were more likely to report short- and long-term quit attempts, but JUUL device owners were less likely to report short- and long-term quit attempts. Higher nicotine dependence reduced the likelihood of a long-term quit attempt. There is a need for policy level actions that address tobacco control among this population. Findings suggest a range of unique factors that can inform such policies and programs to curb young adult e-cigarette use.

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.

Reducing Exposure to Tobacco Retailers with Residential Zoning Policy: Insights from a Geospatial Analysis of Wilmington, Delaware

Cigarette use remains the leading preventable cause of premature mortality in the US, with declines in smoking rates slowing in recent years. One promising target for improved tobacco control is the expanded regulation of tobacco retailers. Evaluations of such policy attempts have largely produced mixed results to date. The objective of this study was to the assess the potential of using a novel, residentially-focused zoning approach to produce a more targeted and equitable reduction in tobacco retailers in high-risk urban settings. We focused on Wilmington, Delaware, a city characterized by high poverty rates, a majority Black population, a disparate number of tobacco retailers, and an elevated smoking prevalence. Through the use of geospatial analyses, we observed disproportionately higher counts of convenience store tobacco retailers in medium- and high-density residential zones in Wilmington relative to the surrounding county. By linking electronic health record (EHR) data from a local health care system and US Census Bureau data, we further found that approximately 80% of Wilmington smokers and 60% of Wilmington youth lived in these residential zones. These findings highlight the potential to more equitably reduce tobacco retailer exposure through a residentially-focused zoning approach. Tobacco control policy and research implications are considered.

Point of Sale Advertising and Promotion of Cigarettes, Electronic Cigarettes, and Heated Tobacco Products in Warsaw, Poland-A Pilot Study

Prevalence of smoking and e-cigarette use among teenagers in Poland is high. Polish law bans most advertising and promotion for cigarettes, e-cigarettes, and heated tobacco products (HTPs). This study investigates marketing for these products at points of sale (POS) near secondary schools in Warsaw, Poland, noting if the advertising and promotion were allowed under current Polish laws. All POS within 250 m radii of five selected secondary schools in each of three Warsaw districts were assessed for tobacco and e-cigarette direct advertising, inside and outside; offers of gifts or promotional discounts; tobacco merchandising, and tobacco displays. Of the 112 POS surveyed, 83% exposed customers to some form of advertising or promotion of cigarettes, e-cigarettes, or HTPs; in 76%, advertising or promotion that violated Polish law was present. More than 80% of POS surveyed displayed tobacco products; in 19%, these products were displayed near products of interest to minors. POS density observed here was 30.3 per km², higher than in other European cities. In Poland, a high proportion of POS near schools violates the law banning the advertisement and promotion of tobacco and nicotine consumer products through a dense tobacco retailer network.

Evaluating how licensing-law strategies will impact disparities in tobacco retailer density: a simulation in Ohio

OBJECTIVES

To assess tobacco licensing-law strategies (eg, restricting the sale of tobacco near schools, banning the sale of tobacco in pharmacies) in terms of the equity of their impact and ability to correct existing disparities in tobacco retailer density.

METHODS

We geocoded all 11 392 tobacco retailers in Ohio, categorised neighbourhoods based on their demographic characteristics and calculated current disparities in tobacco retailer density. We next simulated the four main types of licensing-law strategies (capping-based, declustering-based, school-based and pharmacy-based), as well as strategy combinations. Finally, using statistical methods that account for residual spatial dependence, we evaluated how each strategy would impact density disparities.

FINDINGS

The most impactful licensing-law strategy depended on the type of community. School-based reductions were equitable for low-income, African-American and urban neighbourhoods (eg, eliminating retailers from 1000 feet of all schools produced a 9.2% reduction in the log retailer rate for neighbourhoods with a low prevalence of African-Americans and a 17.7% reduction for neighbourhoods with a high prevalence of African-Americans). Conversely, capping-based reductions were equitable for rural neighbourhoods. Pharmacy-based reductions demonstrated inequitable impacts.

CONCLUSION

Licensing-law strategies could be a central tobacco control effort that benefits both the overall population and vulnerable communities. Policymakers will need to consider their community's characteristics when selecting licensing-law strategies to correct (rather than inadvertently widen) density disparities. But when matched with the appropriate strategy, high-risk communities could remove over 20% of their tobacco retailers.

The geographic distribution of retail tobacco outlets in Yogyakarta, Indonesia

INTRODUCTION

Tobacco smoking prevalence in Indonesia is among the highest in the world. Research worldwide identifies that physical access to tobacco through retail outlets is related to increased tobacco smoking. Tobacco outlet density is very high in many Indonesian cities, so tobacco access may contribute to the high prevalence of tobacco use in that country. The aim of this study was to examine distributions of tobacco outlets in one Indonesian city, Yogyakarta, in relation to social and physical environmental conditions.

METHODS

For this cross-sectional ecological study, we virtually audited randomly selected street segments (n = 1099) using Google Street View. The outcome of interest was a count of tobacco advertising banners (indicating the presence of retail outlets). Exposures were physical environmental conditions (scales of main roads, physical decay, presence of schools, mosques, churches) and social conditions measured at the neighbourhood level (concentrated disadvantage, age composition, population density).

RESULTS

Tobacco banners were present on 36.4% of sampled street segments, including 55 (37%) of 147 streets with schools; a total of 1381 banners were identified. Multilevel negative binomial regression models for street segments nested within neighbourhoods found the prevalence of tobacco banners per 100 m was lower near schools (RR = 0.66, 95% CI 0.45, 0.97) and was not associated with other exposure measures.

DISCUSSION AND CONCLUSIONS

Retail tobacco outlets are ubiquitous in Yogyakarta. Although they are relatively less prevalent on streets with schools, the high absolute values and wide spatial distribution means all residents of Yogyakarta are exposed to tobacco outlets.

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.

Operationalizing the Population Health Framework: Clinical Characteristics, Social Context, and the Built Environment

As a framework, population health emphasizes health outcomes for entire populations, the broad range of determinants of these outcomes, and the comparative effectiveness of medical and public health interventions. In practice, however, many contemporary population health programs instead focus on small subsets of patients who account for a disproportionate share of health care utilization, often with disappointing results. The authors proposed a new approach to operationalize population health in clinical settings, with the example of tobacco use. Electronic health record (EHR) data from a mid-Atlantic health system were used to: (1) define and describe a hospital-based population of current smokers, (2) analyze the demographic characteristics of the population to consider how the social context may impact treatment, and (3) join EHR data with public licensing data on tobacco retail locations to assess the relationship between the built environment and smoking status. Out of a total of 20,310 unique adult admissions to the health system, 3749 (18.5%) were current smokers. Compared to never smokers, current smokers were significantly younger, more likely to be male, more likely to be Black/African American, less likely to be Hispanic/Latino/a, and more likely to be on Medicaid or be self-pay. Current vs. former smokers had significantly higher exposure to tobacco retail locations, even after adjusting for demographic and other covariates. By defining populations around leading modifiable medical determinants of health, and accounting for the larger context of sociodemographic factors and the built environment, health systems can invest in comprehensive programs designed to produce the greatest population health returns.

Characterizing the spatial relationship between smoking status and tobacco retail exposure: Implications for policy development and evaluation

Tobacco retail density and smoking prevalence remain elevated in marginalized communities, underscoring the need for strategies to address these place-based disparities. The spatial variation of smokers and tobacco retailers is often measured by aggregating them to area-level units (e.g., census tracts), but spatial statistical methods that use point-level data, such as spatial intensity and K-functions, can better describe their geographic patterns. We applied these methods to a case study in New Castle County, DE to characterize the cross-sectional spatial relationship between tobacco retailers and smokers, finding that current smokers experience greater tobacco retail exposure and clustering relative to former smokers. We discuss how analysis at different geographic scales can provide complementary insights for tobacco control policy.