Retail tobacco exposure: using geographic analysis to identify areas with excessively high retail density

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.

Delta-8 THC Retail Availability, Price, and Minimum Purchase Age

Background: Retail sales of Delta-8 tetrahydrocannabinol (THC) products have increased in the U.S. market since the passing of the 2018 Farm Bill, and there is currently little regulation of marketing/sales and limited related safety standards in many states. After thousands of calls to poison control centers (40% for individuals under 18 years old and 70% requiring health care facility evaluation), the Food and Drug Administration issued warnings on Delta-8 THC products, stating their psychoactive effects and that some manufacturers may synthesize Delta-8 using unsafe household chemicals. The current study describes the Delta-8 THC retail sales environment in Fort Worth, Texas. Given its relatively inexpensive manufacturing and that low prices are a major determinant of cannabis use, the price of Delta-8 THC products was examined. This study also examined whether retail outlets in areas with greater socioeconomic deprivation had higher odds of selling Delta-8 THC products. This is important because if Delta-8 THC retailers are disproportionately located in more socioeconomically deprived communities, residents of these communities can more easily access these products and may have higher risk of adverse consequences. Methods: Potential Delta-8 THC retailers were selected by identifying lists of current retail locations with alcohol, cannabidiol, and/or tobacco licenses in Fort Worth. Trained research assistants called outlets in September and October 2021 to query about sales of products containing Delta-8 THC. The response rate was 69% (n=1,223). Outlets' 9-digit zip codes were merged with Area Deprivation Index scores. Products and purported minimum age were described. Chi-squared and Student's t-tests were used. Results: Eleven percent of outlets (n=133) reported selling Delta-8 THC. Ninety-six percent sold vapes and/or "flower" (i.e., hemp leaves coated with Delta-8 THC distillate) and 76% sold edibles. Among the least expensive products available, edibles cost, on average, $8.58 less than flower/vapes (p<0.001). Outlets that sold Delta-8 THC were located in areas with greater deprivation (p=0.02). Most reported a minimum purchase age of 21; however, 4% reported 18 years or no minimum age. Conclusions: Delta-8 THC retail outlets were disproportionately located in areas with more socioeconomic deprivation. Legal intervention such as zoning, minimum age, and tax laws may help reduce Delta-8 THC-related disparities.

Spatial Clustering of Tobacco Retailers Near US Public Schools

INTRODUCTION

Previous studies have found that tobacco retailers cluster near schools. However, all retail outlets may be located near each other and near schools due to existing infrastructure and zoning policies. We assessed whether tobacco retailers cluster near schools in the United States more than expected when accounting for existing retail locations.

AIMS AND METHODS

We identified 322 056 probable tobacco retailers, 95 110 public schools, and more than 3.8 million businesses comparable to tobacco retailers in land use and business type. We created 500 simulated tobacco retailer datasets by randomly selecting from the larger list of businesses. For each simulated dataset, we calculated the distance from schools to the nearest tobacco retailer (proximity) and the count of tobacco retailers within 800 m of schools (density). Observed proximity and density values were compared to 95% coverage intervals from the 500 simulations. We stratified analyses by urbanicity, percentage of students in the free and reduced-priced lunch program (FRLP), and percentage of Hispanic/Latino, non-Hispanic Black, and non-Hispanic white students.

RESULTS

Tobacco retailers were closer to schools in rural areas, cities, and towns and more dense around schools in rural areas, cities, and suburbs compared to random locations in potential retail space. Schools with more students receiving FRLP had higher density than expected while schools with fewer students receiving FRLP had lower density than expected. Within rural areas, clustering did not vary across sociodemographic groups. Within non-rural areas, there were inequities in clustering by racial, ethnic, and socioeconomic school composition.

CONCLUSIONS

Tobacco retailers cluster near schools after accounting for existing business patterns. There are inequities in clustering by sociodemographic school composition.

IMPLICATIONS

This study provides compelling evidence that tobacco retailers cluster near US public schools and that there are racial, ethnic, and socioeconomic inequities in clustering, even when accounting for overall retail location patterns. Given that public schools tend to reflect neighborhood demographics, policies to limit tobacco retailers near schools may reduce both school-based and neighborhood-based inequities.

Cluster Randomized Pragmatic Clinical Trial Testing Behavioral Economic Implementation Strategies to Improve Tobacco Treatment for Patients With Cancer Who Smoke

PURPOSE

Few cancer centers systematically engage patients with evidence-based tobacco treatment despite its positive effect on quality of life and survival. Implementation strategies directed at patients, clinicians, or both may increase tobacco use treatment (TUT) within oncology.

METHODS

We conducted a four-arm cluster-randomized pragmatic trial across 11 clinical sites comparing the effect of strategies informed by behavioral economics on TUT engagement during oncology encounters with cancer patients. We delivered electronic health record (EHR)-based nudges promoting TUT across four nudge conditions: patient only, clinician only, patient and clinician, or usual care. Nudges were designed to counteract cognitive biases that reduce TUT engagement. The primary outcome was TUT penetration, defined as the proportion of patients with documented TUT referral or a medication prescription in the EHR. Generalized estimating equations were used to estimate the parameters of a linear model.

RESULTS

From June 2021 to July 2022, we randomly assigned 246 clinicians in 95 clusters, and collected TUT penetration data from their encounters with 2,146 eligible patients who smoke receiving oncologic care. Intent-to-treat (ITT) analysis showed that the clinician nudge led to a significant increase in TUT penetration versus usual care (35.6% v 13.5%; OR = 3.64; 95% CI, 2.52 to 5.24; P < .0001). Completer-only analysis (N = 1,795) showed similar impact (37.7% clinician nudge v 13.5% usual care; OR = 3.77; 95% CI, 2.73 to 5.19; P < .0001). Clinician type affected TUT penetration, with physicians less likely to provide TUT than advanced practice providers (ITT OR = 0.67; 95% CI, 0.51 to 0.88; P = .004).

CONCLUSION

EHR nudges, informed by behavioral economics and aimed at oncology clinicians, appear to substantially increase TUT penetration. Adding patient nudges to the implementation strategy did not affect TUT penetration rates.

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.

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.

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.

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.

Rationale and protocol for a cluster randomized pragmatic clinical trial testing behavioral economic implementation strategies to improve tobacco treatment rates for cancer patients who smoke

BACKGROUND

Routine evidence-based tobacco use treatment minimizes cancer-specific and all-cause mortality, reduces treatment-related toxicity, and improves quality of life among patients receiving cancer care. Few cancer centers employ mechanisms to systematically refer patients to evidence-based tobacco cessation services. Implementation strategies informed by behavioral economics can increase tobacco use treatment engagement within oncology care.

METHODS

A four-arm cluster-randomized pragmatic trial will be conducted across nine clinical sites within the Implementation Science Center in Cancer Control Implementation Lab to compare the effect of behavioral economic implementation strategies delivered through embedded messages (or "nudges") promoting patient engagement with the Tobacco Use Treatment Service (TUTS). Nudges are electronic medical record (EMR)-based messages delivered to patients, clinicians, or both, designed to counteract known patient and clinician biases that reduce treatment engagement. We used rapid cycle approaches (RCA) informed by relevant stakeholder experiences to refine and optimize our implementation strategies and methods prior to trial initiation. Data will be obtained via the EMR, clinician survey, and semi-structured interviews with a subset of clinicians and patients. The primary measure of implementation is penetration, defined as the TUTS referral rate. Secondary outcome measures of implementation include patient treatment engagement (defined as the number of patients who receive FDA-approved medication or behavioral counseling), quit attempts, and abstinence rates. The semi-structured interviews, guided by the Consolidated Framework for Implementation Research, will assess contextual factors and patient and clinician experiences with the nudges.

DISCUSSION

This study will be the first in the oncology setting to compare the effectiveness of nudges to clinicians and patients, both head-to-head and in combination, as implementation strategies to improve TUTS referral and engagement. We expect the study to (1) yield insights into the effectiveness of nudges as an implementation strategy to improve uptake of evidence-based tobacco use treatment within cancer care, and (2) advance our understanding of the multilevel contextual factors that drive response to these strategies. These results will lay the foundation for how patients with cancer who smoke are best engaged in tobacco use treatment and may lead to future research focused on scaling this approach across diverse centers.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT04737031 . Registered 3 February 2021.

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.

Sociodemographic Disparities in the Tobacco Retail Environment in Washington, DC: A Spatial Perspective

Objective

Studies assessing sociodemographic disparities in the tobacco retail environment have relied heavily on non-spatial analytical techniques, resulting in potentially misleading conclusions. We utilized a spatial analytical framework to evaluate neighborhood sociodemographic disparities in the tobacco retail environment in Washington, DC (DC) and the DC metropolitan statistical area (DC MSA).

Methods

Retail tobacco availability for DC (n=177) and DC MSA (n=1,428) census tract was assessed using adaptive-bandwidth kernel density estimation. Density surfaces were constructed from DC (n=743) and DC MSA (n=4,539) geocoded tobacco retailers. Sociodemographics were obtained from the 2011-2015 American Community Survey. Spearman's correlations between sociodemographics and retail density were computed to account for spatial autocorrelation. Bivariate and multivariate spatial lag models were fit to predict retail density.

Results

DC and DC MSA neighborhoods with a higher percentage of Hispanics were positively correlated with retail density (rho = .3392, P = .0001 and rho = .1191, P = .0000, respectively). DC neighborhoods with a higher percentage of African Americans were negatively correlated with retail density (rho = -.3774, P = .0000). This pattern was not significant in DC MSA neighborhoods. Bivariate and multivariate spatial lag models found a significant inverse relationship between the percentage of African Americans and retail density (Beta = -.0133, P = .0181 and Beta = -.0165, P = .0307, respectively).

Conclusions

Associations between neighborhood sociodemographics and retail density were significant, although findings regarding African Americans are inconsistent with previous findings. Future studies should analyze other geographic areas, and account for spatial autocorrelation within their analytic framework.

Retail Tobacco Marketing in Rural Versus Nonrural Counties: Product Availability, Discounts, and Prices

Objectives. To assess tobacco product availability, advertised discounts, and prices in rural and nonrural stores, comparing results for two definitions of rural. Method. This geospatial study linked data from marketing surveillance in a representative sample of licensed tobacco retailers in California (n = 1,276) and categorized rural/nonrural stores at the county and tract levels. Data were collected from January to March, 2017, and mixed-models analyses tested for differences by location (rural vs. nonrural). Results. Compared to nonrural stores, rural-county stores were 2.1 (95% confidence interval [CI; 1.2, 3.6]) times more likely to sell chewing tobacco and 2.5 (95% CI [1.4, 4.2]) times more likely to sell roll-your-own. Rural-county stores sold larger packs of cigarillos for less than $1 (coefficient = 0.22, 95% CI [0.05, 0.39]) and charged less for the cheapest cigarette pack regardless of brand (estimated mean difference = $-0.21, 95% CI [-0.39, -0.03]). Contrary to expectation, a popular brand of chewing tobacco cost more in rural-county stores. A tract-level definition of rural reclassified only 1 in 10 stores, and did not substantially alter the results. Overall, 32.9% of stores advertised discounts on chewing tobacco, but this was more common in rural than nonrural census tracts (adjusted odds ratio = 1.81, 95% CI [1.14, 2.88]). Discussion. Evidence that $1 buys more cigarillos in rural-county stores than elsewhere adds to health equity concerns that the prevalence of cheap, flavored tobacco is not limited to neighborhoods characterized by socioeconomic disadvantage, higher proportions of African Americans, and higher proportions of school-age youth. Policies that focus on the retail environment for tobacco are needed to make tobacco less attractive and more costly everywhere, including rural areas.

Psychosocial and neighborhood correlates of health-related quality of life: A multi-level study among Hispanic adults

OBJECTIVE

Improvement in health-related quality of life (HRQoL) is a public health goal of Healthy People 2020. Hispanics living in the United States are at risk for poor HRQoL, but the causes and correlates of this risk are not well understood. Thus, the present study examined individual-level psychosocial and neighborhood-level built environment correlates of physical and mental HRQoL among Hispanic adults.

METHOD

A community sample of Hispanic adults (N = 383) completed self-report health-related questionnaires, and census tract was used to collect data on neighborhood-level built environment variables. Multilevel modeling was used to examine individual-level psychosocial (language preference, religiosity, subjective social status, discrimination, and number of years lived in the United States) and neighborhood-level built-environment (the retail food environment, proximity to alcohol retailers, and tobacco retailer density) correlates of physical and mental HRQoL.

RESULTS

Higher subjective social status was significantly associated with better HRQoL, and more experiences with discrimination were significantly associated with lower HRQoL. For physical HRQoL, these relationships were stronger in neighborhoods with a higher density of tobacco retail outlets.

CONCLUSIONS

Findings from this study suggest that subjective social status and discrimination play important roles in HRQoL among Hispanics, in particular in neighborhoods with a higher density of tobacco retail outlets. This study highlights the importance of considering neighborhood context, and in particular neighborhood disadvantage, when examining the relationship between social status, discrimination and HRQoL among Hispanics. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The availability of medical marijuana dispensary and adolescent marijuana use

PURPOSE

To examine the association between medical marijuana dispensary (MMD) availability and adolescent marijuana use.

METHODS

The study sample was comprised of 8th, 10th, and 12th graders (N=14,953) from 141 schools in the 2014 Monitoring the Future study, who resided in the 18 states that had legalized medical marijuana as of January 1, 2014. Multilevel logistic regressions with random effects were conducted to quantify the cross-sectional associations of the availability of MMD within 5- and 25-mile buffers from the centroid of school zip codes with self-reported recent use (past-year) and current use (past-month) of marijuana, controlling for individual characteristics and school, zip code, and state contextual factors.

RESULTS

In the combined sample, the availability of MMD was not associated with recent or current use of marijuana. Subsample analyses suggested that the availability within a 5-mile buffer was associated with a higher likelihood of recent use in 8th graders (OR=1.93, 95% CI=1.11-3.33) and the availability within a 5- to 25-mile buffer was associated with a higher likelihood of recent use in 10th graders (OR=1.33, 95% CI=1.00-1.77). The availability of MMD was not associated with recent use in 12th graders or current use in any grades.

CONCLUSIONS

The availability of MMD was not associated with current use of marijuana among adolescents. There was some evidence suggesting that the availability of MMD within short to medium traveling distance may be associated with a higher level of recent use in middle schoolers who are also at a high risk of experimenting with marijuana.

Tobacco retail outlets and vulnerable populations in Ontario, Canada

Interest has been increasing in regulating the location and number of tobacco vendors as part of a comprehensive tobacco control program. The objective of this paper is to examine the distribution of tobacco outlets in a large jurisdiction, to assess: (1) whether tobacco outlets are more likely to be located in vulnerable areas; and (2) what proportion of tobacco outlets are located close to schools. Retail locations across the Province of Ontario from Ministry of Health Promotion data were linked to 2006 Census data at the neighbourhood level. There was one tobacco retail outlet for every 1,000 people over age 15 in Ontario. Density of outlets varied by public health unit, and was associated with the number of smokers. Tobacco outlets were more likely to be located in areas that had high neighbourhood deprivation, in both rural and urban areas. Outlets were less likely to be located in areas with high immigrant populations in urban areas, with the reverse being true for rural areas. Overall, 65% of tobacco retailers were located within 500 m of a school. The sale of tobacco products is ubiquitous, however, neighbourhoods with lower socio-economic status are more likely to have easier availability of tobacco products and most retailers are located within walking distance of a school. The results suggest the importance of policies to regulate the location of tobacco retail outlets.