Density of tobacco retailers and its association with sociodemographic characteristics of communities across New York

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.

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.

Emotional dysregulation among English-speaking Hispanic persons who smoke living in the United states

Hispanic/Latinx (hereafter Hispanic) individuals in the United States (US) experience serious tobacco-related disparities and factors contributing to such disparities need to be adequately identified and clinically addressed. Emotion dysregulation is a key transdiagnostic relevant to smoking. The present cross-sectional investigation sought to test if emotion dysregulation was related to more severe problems during smoking quit attempts (e.g., irritability, weight gain), perceptions of difficulty about quitting, as well as negative and positive beliefs about smoking abstinence in a sample of English-speaking Hispanic adults residing in the US who smoke. Participants included 332 Hispanic adults who engaged in daily cigarette smoking (35.46 years old, 37 % identified as female). Emotion dysregulation was significantly related to more severe problems when quitting and perceived barriers for quitting, as well as negative beliefs about smoking abstinence. Additionally, emotion dysregulation was significantly and negatively related to positive outcomes about smoking abstinence. The amount of change in the various smoking criterion variables accounted for by emotion dysregulation was small (sr2 range: 0.028-0.085), but evident in adjusted models that accounted for a wide range of factors (e.g., depression, drug use severity). Overall, this investigation found consistent empirical evidence that individual differences in emotion dysregulation in Hispanic individuals were associated with several clinically significant smoking processes, suggesting this construct may represent an important factor involved in the maintenance and relapse of smoking among this ethnic population.

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.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Using systems science to advance health equity in tobacco control: a causal loop diagram of smoking

OBJECTIVES

Develop and use a causal loop diagram (CLD) of smoking among racial/ethnic minority and lower-income groups to anticipate the intended and unintended effects of tobacco control policies.

METHODS

We developed a CLD to elucidate connections between individual, environmental and structural causes of racial/ethnic and socioeconomic disparities in smoking. The CLD was informed by a review of conceptual and empirical models of smoking, fundamental cause and social stress theories and 19 qualitative interviews with tobacco control stakeholders. The CLD was then used to examine the potential impacts of three tobacco control policies.

RESULTS

The CLD includes 24 constructs encompassing individual (eg, risk perceptions), environmental (eg, marketing) and structural (eg, systemic racism) factors associated with smoking. Evaluations of tobacco control policies using the CLD identified potential unintended consequences that may maintain smoking disparities. For example, the intent of a smoke-free policy for public housing is to reduce smoking among residents. Our CLD suggests that the policy may reduce smoking among residents by reducing smoking among family/friends, which subsequently reduces pro-smoking norms and perceptions of tobacco use as low risk. On the other hand, some residents who smoke may violate the policy. Policy violations may result in financial strain and/or housing instability, which increases stress and reduces feelings of control, thus having the unintended consequence of increasing smoking.

CONCLUSIONS

The CLD may be used to support stakeholder engagement in action planning and to identify non-traditional partners and approaches for tobacco control.

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

OBJECTIVE

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

AIMS AND METHODS

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

RESULTS

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

CONCLUSIONS

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

IMPLICATION

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

A Cross-sectional Analysis of Socio-spatial Patterning of Tobacco Retail in Shanghai, China

INTRODUCTION

International evidence from high-income countries demonstrates that the availability of tobacco tends to be greater in more urban and more deprived neighborhoods. However, little is known about the socio-spatial disparities in other settings, including megacities in China. This study investigated the patterning of tobacco retailers across Shanghai by types of tobacco retailers, including the relationship with levels of urbanity and neighborhood deprivation.

AIMS AND METHODS

Tobacco retailer data (n = 19 413) was extracted from a web-scraped Points-of-Interest database. For all communities (n = 5432) across Shanghai, neighborhood tobacco retail availability was calculated using population-weighted kernel density estimation and grouped by quintiles of neighborhood deprivation and a 3-level urban classification. Associations were analyzed using the Kruskal-Wallis tests and epsilon squared.

RESULTS

Across Shanghai, tobacco retail availability decreased from more urbanized areas to less urbanized areas. There was a statistical difference (p < .001) in the availability of tobacco retail across quintiles of deprivation, with the highest availability in the less deprived neighborhoods, and the lowest availability in the most deprived neighborhoods. However, this trend was reversed in the urban center, where retail availability was greatest in the most deprived areas. Convenience stores were the most common type of tobacco retailer across the city, while tobacco-only outlets were most strongly associated with levels of neighborhood deprivation.

CONCLUSIONS

The results show an association between tobacco retail availability and neighborhood deprivation, which varied with levels of urbanity and types of tobacco retailers. These findings provide supportive evidence for further interventions that target reducing inequalities in exposure to tobacco retail.

IMPLICATIONS

This is the first study to examine the relationship between tobacco retail availability and neighborhood deprivation in the context of Chinese megacities. Using data from Shanghai, China, we found a significant non-linear association between tobacco retail availability and neighborhood deprivation across the city. It is plausible that the socio-spatial disparities in tobacco retail availability at the neighborhood level may be a key factor explaining differences in smoking behaviors between sociodemographic groups. The findings emphasize the need for greater efforts in regulating neighborhood-level tobacco retailing in China.

Relapse to problem drinking or trading up to spirits? Using U.S. national cross-sectional survey data to highlight possible negative impacts of potential tobacco retail changes

BACKGROUND

According to the National Alcohol Beverage Control Association, twelve states in the United States (U.S.) have government retail monopolies on spirits/liquor sales. With a new federal minimum legal sales age for tobacco (raised from 18 to 21, the minimum legal sales age for alcohol), we examine possible unintended consequences of a hypothetical policy change restricting retail tobacco sales to state-run spirits/liquor stores in alcohol control states, which has been proposed as a tobacco endgame strategy.

METHODS

We used cross-sectional survey data from 14,821 randomly-selected adults ages 21 and older who responded to the 2015 or 2020 U.S. National Alcohol Survey (51.8% female; 65.8% identified as non-Hispanic White, 12.4% as Black or African American, 14.2% as Hispanic or Latinx; 34.0% had a low level of education), including 2,274 respondents (18.9%) residing in one of the alcohol control states (representing 42.2 million (M) adults ages 21+). We estimated associations between tobacco measures (lifetime smoking status, lifetime daily smoking, past-year daily smoking) and alcohol measures (drinking status, beverage choices, lifetime alcohol use disorder (AUD) status, recovery status) overall and for specific subgroups.

RESULTS

In control states, 55.1% of people who smoked daily in the past year also reported lifetime AUD, including an estimated 3.56 M adults ages 21 + who reported prior (but not current) AUD. The association of daily smoking with lifetime AUD was stronger among those with low education compared to those with higher education. Further, 58.8% of people in recovery from an alcohol and/or drug problem (1.49 M adults ages 21+) smoked daily, and this was more marked among women than men in control states.

CONCLUSION

There could be negative consequences of an endgame strategy to restructure tobacco retail sales, including increased risk for relapse to drinking among people who smoke daily, especially among women and people with low levels of education. Strategies to mitigate unintended harms would be needed if such a policy were implemented.

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.

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.

Spatially Varying Associations of Neighborhood Disadvantage with Alcohol and Tobacco Retail Outlet Rates

More than 30% of cancer related deaths are related to tobacco or alcohol use. Controlling and restricting access to these cancer-causing products, especially in communities where there is a high prevalence of other cancer risk factors, has the potential to improve population health and reduce the risk of specific cancers associated with these substances in more vulnerable population subgroups. One policy-driven method of reducing access to these cancer-causing substances is to regulate where these products are sold through the placement and density of businesses selling tobacco and alcohol. Previous work has found significant positive associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, TARO) and a neighborhood disadvantage index (NDI) using Bayesian shared component index modeling, where NDI associations differed across outlet types and relative risks varied by population density (e.g., rural, suburban, urban). In this paper, we used a novel Bayesian index model with spatially varying effects to explore spatial nonstationarity in NDI effects for TROs, AROs, and TAROs across census tracts in North Carolina. The results revealed substantial variation in NDI effects that varied by outlet type. However, all outlet types had strong positive effects in one coastal area. The most important variables in the NDI were percent renters, Black racial segregation, and the percentage of homes built before 1940. Overall, more disadvantaged areas experienced a greater neighborhood burden of outlets selling one or both of alcohol and tobacco.

2022 Prevention of chronic non-communicable diseases in Of the Russian Federation. National guidelines

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Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage

Tobacco causes 29% of cancer-related deaths while alcohol causes 5.5% of cancer-related deaths. Reducing the consumption of these cancer-causing products is a special priority area for the National Cancer Institute. While many factors are linked to tobacco and alcohol use, the placement and density of retail outlets within neighborhoods may be one community-level risk factor contributing to greater use of these products. To elucidate associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, and TARO) and neighborhood disadvantage over a large geographic area, we employed a novel Bayesian index modeling approach to estimate a neighborhood disadvantage index (NDI) and its associations with rates of the three types of retailers across block groups in the state of North Carolina. We used a novel extension of the Bayesian index model to include a shared component for the spatial pattern common to all three types of outlets and NDI effects that varied by outlet type. The shared component identifies areas that are elevated in risk for all outlets. The results showed significant positive associations between neighborhood disadvantage and TROs (relative risk (RR) = 1.12, 95% credible interval (CI = 1.09, 1.14)) and AROs (RR = 1.15, 95% CI = 1.11, 1.17), but the association was greatest for TAROs (RR = 1.21, 95% CI = 1.18, 1.24). The most important variables in the NDI were percent renters (i.e., low home ownership), percent of homes built before 1940 (i.e., old housing stock), and percent without a high school diploma (i.e., low education).

Association Between Tobacco Retailer Density and Smoking Among Adults With Diabetes and Serious Mental Illness in New York State

INTRODUCTION

Smoking prevalence is high among adults with comorbid diabetes and serious mental illness. This population is at elevated risk of smoking-related health consequences and premature death. We focused on the community environment and investigated the association between tobacco retailer density and smoking in this population.

METHODS

We obtained individual-level data from the 2017 Patient Characteristics Survey, a medical record-based survey of patients served by the public mental health system in New York State. We computed the density of state-authorized tobacco retailers at the 3-digit zip code level.

RESULTS

The data included 19,492 adults (aged ≥18) with comorbid diabetes and serious mental illness. Of these, 55.6% resided in New York City, 53.1% were female, 38.1% were non-Hispanic White, 30.7% were non-Hispanic Black, 25.2% were Hispanic, and 38.1% were smokers, including electronic cigarette users. The density of tobacco retailers (range, 6.1-16.4 per 10,000 population) was positively associated with smoking (odds ratio = 1.05; 95% CI, 1.03-1.07) after adjusting for sex, race or ethnicity, education, employment, health insurance coverage, obesity, and region (New York City vs outside New York City). We observed no interaction between region and tobacco retailer density.

CONCLUSION

Findings of this study suggest that allocating more smoking cessation resources to zip code areas with a high density of tobacco retailers, especially in rural areas, along with supporting policy change to reduce tobacco retailor density, may mitigate the negative health consequences of smoking among people with comorbid diabetes and serious mental illness.

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.

Boosting the Tobacco Control Vaccine: recognizing the role of the retail environment in addressing tobacco use and disparities

Much of the progress in reducing cigarette smoking and tobacco-related morbidity and mortality among youth and adults is attributable to population-level strategies previously described in the context of the Tobacco Control Vaccine. The retail environment is used heavily by the tobacco industry to promote and advertise its products, and variations in exposure to and characteristics of the retail environment exist across demographic groups. It is therefore also an essential environment for further reducing smoking, as well as ameliorating racial, ethnic and socioeconomic tobacco-related disparities. This commentary provides an overview of the importance of incorporating strategies focused on the tobacco retailer environment (availability; pricing and promotion; advertising and display; age of sale; and retail licensure) as part of a comprehensive approach to tobacco prevention and control. To reach tobacco endgame targets, such innovative strategies are a complement to, but not a replacement for, long-standing evidence-based components of the Tobacco Control Vaccine.

Neighborhood environment: the impact of alcohol and tobacco outlets availability on health of people living in a certain area

Alcohol and tobacco consumption remain significant risk factors (RFs) for morbidity and mortality from noncommunicable diseases (NCDs), including cardiovascular ones, in Russia. The main risk factors contributing to NCDs in addition to traditional risk factors and lifestyle also include the neighborhood environment (NE). The term “neighborhood environment” describes the relationship between the area in immediate vicinity of a person's place of residence, environmental factors, social characteristics of the area, which can have both positive and negative effects on human health.

The aim of this review was to analyze alcohol and tobacco outlets availability as a factor effecting health of people living in a certain area.

It was demonstrated that a high density of alcohol outlets is associated with increased alcohol consumption among both adults and adolescents, with drunk driving and road traffic accidents, injuries, violent crimes, the risk of acute and chronic diseases. A high density of tobacco outlets is associated with an increase in smoking intensity among both adults and adolescents, as well as an increase of secondhand smoke, which increases the risk of NCDs.

The consumption of alcohol and tobacco is associated with a significant increase in risk of NCDs, including cardiovascular ones, and injuries, leading to disability and death. The effectiveness of measures aimed at reducing the consumption of alcohol and tobacco may be reduced due to high density of outlets selling these products. It is necessary to conduct studies aimed at assessing the outlets density and its associations with prevalence of RFs and health status of Russian population. These data will stimulate intersectoral collaboration for planning health protection strategy at municipal level.

Social determinants of health in total knee arthroplasty : are social factors associated with increased 30-day post-discharge cost of care and length of stay?

AIMS

Social determinants of health (SDOHs) may contribute to the total cost of care (TCOC) for patients undergoing total knee arthroplasty (TKA). The aim of this study was to investigate the association between demographic data, health status, and SDOHs on 30-day length of stay (LOS) and TCOC after this procedure.

METHODS

Patients who underwent TKA between 1 January 2018 and 31 December 2019 were identified. A total of 234 patients with complete SDOH data were included. Data were drawn from the Chesapeake Regional Information System, the Centers for Disease Control social vulnerability index (SVI), the US Department of Agriculture, and institutional electronic medical records. The SVI identifies areas vulnerable to catastrophic events with four themed scores: socioeconomic status; household composition and disability; minority status and language; and housing and transportation. Food deserts were defined as neighbourhoods located one or ten miles from a grocery store in urban and rural areas, respectively. Multiple regression analyses were performed to determine associations with LOS and costs after controlling for various demographic parameters.

RESULTS

Divorced status was significantly associated with an increased LOS (p = 0.043). Comorbidities significantly associated with an increased LOS included chronic obstructive pulmonary disease/asthma and congestive heart failure (p = 0.043 and p = 0.001, respectively). Communities with a higher density of tobacco stores were significantly associated with an increased LOS (p = 0.017). Comorbidities significantly associated with an increased TCOC included chronic obstructive pulmonary disease (p = 0.004), dementia (p = 0.048), and heart failure (p = 0.007). Increased TCOCs were significantly associated with patients who lived in food deserts (p = 0.001) and in areas with an increased density of tobacco stores (p = 0.023).

CONCLUSION

Divorced marital status was significantly associated with an increased LOS following TKA. Living in food deserts and in communities with more tobacco stores were significant risk factors for increased LOS and TCOC. Food access and ease of acquiring tobacco may both prove to be prognostic of outcome after TKA and an opportunity for intervention. Cite this article: Bone Joint J 2021;103-B(6 Supple A):113-118.

The legacy of redlining: Associations between historical neighborhood mapping and contemporary tobacco retailer density in Ohio

In the 1930s United States, urban neighborhoods were graded on their desirability for investment (often based on race), a process known as "redlining." This study examined how historical redlining relates to current disparities in an important health determinant: tobacco retailer density. Analyses were conducted for thirteen Ohio cities using negative binomial models that accounted for retailer spatial dependence and controlled for present-day sociodemographic characteristics. Findings indicated that as grades increased from "Best" to "Still Desirable" to "Definitely Declining" and "Hazardous," retailer density increased monotonically. These results highlight the persisting impacts of redlining and how disparities, once intentionally created, can be perpetuated over time.

Are Waterpipe Café, Vape Shop, and Traditional Tobacco Retailer Locations Associated with Community Composition and Young Adult Tobacco Use in North Carolina and Virginia?

PURPOSE

We examined whether waterpipe café, vape shop, and traditional tobacco retailer (e.g. stores selling cigarettes, cigars, smokeless tobacco) locations were associated with census tract composition and tobacco use among young adults in North Carolina and Virginia. Methods: We identified waterpipe cafés, vape shops, and traditional tobacco retailers in North Carolina and Virginia and conducted multivariable analyses between community characteristics (gender, race, ethnicity, education, college enrollment, and poverty) and density per 1000 population. Using fall 2017 data from 1099 young adults residing in North Carolina and Virginia, we conducted logistic regression analyses to determine whether tobacco retailer density and proximity were associated with tobacco use. Results: Waterpipe café, vape shop, and traditional retailer density were higher in communities with more people who were Hispanic, college-educated, and college-enrolled (each p < .05). Waterpipe café and traditional retailer density were higher in communities with more people living below the poverty level (each p < .05). Waterpipe café density was higher in communities with more people who were male (p < .05), while traditional retailer density was lower (p < .05). Waterpipe café and vape shop proximity were associated with increased likelihood of waterpipe tobacco use in the past 6 months (each p < .05; unadjusted). Traditional retailer proximity and waterpipe café, vape shop, and traditional retailer density were not associated with tobacco use. Conclusions: Waterpipe cafés and vape shops are located in both impoverished and college-educated communities in North Carolina and Virginia, similar to where traditional tobacco retailers are located. Further research is needed to examine associations with tobacco use.

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.

Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers

Numerous studies have assessed individual-level factors associated with intention to quit smoking. However, fewer studies have assessed how neighborhood and built environment also contribute towards individual-level behavior. We used baseline data of 340 Chinese and Vietnamese male daily smokers from August 2015 to November 2017 living in the San Francisco Bay Area, who enrolled in a lifestyle intervention trial. The outcome variable was intention to quit in 30 days. To understand the role of contextual factors participants' residential addresses were geocoded, and neighborhood median income, ethnic composition, and tobacco retail density were computed. Individual level analysis suggested that Vietnamese American men had greater intention to quit smoking (OR = 2.90 CI = 1.59, 5.26) in comparison to Chinese Americans. However, after adding neighborhood level factors to the model, no ethnic group difference was observed. Neighborhood household median income (OR = 0.74, CI = 0.64, 0.86) and tobacco retail counts (OR = 0.79, CI = 0.67, 0.94) were negatively associated with intention to quit. Years lived in the U.S. was the only individual level factor associated with intention to quit. By comparing two Asian American groups that live in heterogeneous neighborhoods, we identify key environmental and policy drivers that are associated with quit intention. Future studies aimed at influencing individual-level behavior should take into consideration the neighborhood context and built environment characteristics.

Tobacco industry and public health responses to state and local efforts to end tobacco sales from 1969-2020

BACKGROUND

In June 2019, Beverly Hills, California, became the first American city in the 21st century to pass an ordinance ending the sale of most tobacco products, including cigarettes, and it is unlikely to be the last. Knowledge of previous efforts to ban tobacco sales in the US, both successful and unsuccessful, may help inform tobacco control advocates' approach to future efforts.

METHODS

We retrieved and analyzed archival tobacco industry documents. We confirmed and supplemented information from the documents with news media coverage and publicly available state and local government materials, such as meeting minutes and staff reports, related to proposed bans.

RESULTS

We found 22 proposals to end the sale of cigarettes or tobacco products from 1969-2020 in the US. Proposals came from five states, twelve cities or towns, and one county. Most came from elected officials or boards of health, and were justified on public health grounds. In opposing tobacco sales bans, the tobacco industry employed no tactics or arguments that it did not also employ in campaigns against other tobacco control measures. Public health groups typically opposed sales ban proposals on the grounds that they were not evidence-based. This changed with Beverly Hills' 2019 proposal, with public health organizations supporting this and other California city proposals because of their likely positive health impacts. This support did not always translate into passage of local ordinances, as some city council members expressed reservations about the impact on small businesses.

CONCLUSION

Tobacco control advocates are likely to encounter familiar tobacco industry tactics and arguments against tobacco sales ban proposals, and can rely on past experience and the results of a growing body of retail-related research to counter them. Considering how to overcome concerns about harming retailers will likely be vital if other jurisdictions are to succeed in ending tobacco sales.

Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates

Neighborhood-level socioeconomic variables, such as the proportion of minority and low-income residents, have been associated with a greater density of tobacco retail outlets (TROs), though less is known about the degree to which these neighborhood indicators are related to vape shop outlet (VSO) density. Many studies of TROs and neighborhood characteristics include only a small set of variables and also fail to take into account the correlation among these variables. Using a carefully curated database of all TROs and VSOs in Virginia (2016–2018), we developed a Bayesian model to estimate a neighborhood disadvantage index and examine its association with rates of outlets across census tracts while also accounting for correlations among variables. Models included 12 census tract variables from the American Community Survey. Results showed that increasing neighborhood disadvantage was associated with a 63% and 64% increase in TRO and VSO risk, respectively. Important variables associated with TRO rates included % renter occupied housing, inverse median gross rent, inverse median monthly housing costs, inverse median monthly housing costs, and % vacant housing units. Important variables associated with VSO rates were % renter occupied housing and % Hispanic population. There were several spatial clusters of significantly elevated risk for TROs and VSOs in western and eastern Virginia.

School proximity and census tract correlates of e-cigarette specialty retail outlets (vape shops) in central Texas

E-cigarettes are the most widely used tobacco product among middle and high school students in the United States. This study investigates the proximity of e-cigarette retail outlets (vape shops) to middle and high schools in Austin, Texas, as well as the sociodemographic determinants of outlet presence, at the census tract level. A proximity analysis was conducted using school geo-data derived from the Texas Education Agency and vape shop geo-data derived from a validated online search. Logistic regressions using 5-year estimates of the 2014 American Community Survey were performed to determine the correlates of vape shop presence in census tracts. Overall, 20% of the census tracts in Austin, Texas, had at least one vape shop. The proportion of vape shop-containing census tracts that met the criteria for classification as a “poverty area” (36.5%) was greater than that of vape shop-free census tracts (26.3%). Vape shops were more likely to be present in census tracts classified as poverty areas; however, the odds of vape shop presence declined as the percentage of the non-Hispanic Black population and the percentage of persons aged 10–14 years in census tracts increased. About 40% of the vape shops were located within 0.5 miles of a middle or high school. Sociodemographic disparities exist in the e-cigarette retail environment. In addition to the need to address the disparities identified in this study, our results showing the presence of vape shops within walkable distances of schools calls for tighter regulations and continued surveillance around the marketing practices of e-cigarette retailers.

The availability of retail tobacco near federally qualified healthcare facilities and addiction treatment centers in New York State

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Retail tobacco availability near healthcare facilities differs by facility type.

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Retail tobacco availability near healthcare facilities varies by urban-rural status.

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Retail tobacco availability may undermine tobacco-free healthcare policies.

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Reducing availability of retail tobacco near healthcare facilities is warranted.

The effectiveness of tobacco control policies that create smoke-free healthcare facilities and encourage the delivery of tobacco dependence treatment may be undermined by the availability of retail tobacco in the surrounding environments. This study examined the availability of retail tobacco in relation to: federally qualified health centers and look-a-like (FQHC/LAL) healthcare facilities (n = 706) as well as substance abuse and addiction treatment centers (n = 953) across New York State (NYS) in 2018. A statewide tobacco retailer density surface using static-bandwidth kernel density estimation was constructed from geocoded licensed tobacco vendors (n = 21,314). For each healthcare facility, tobacco retailer density (retailers per square mile) was extracted from the underlying NYS density surface. Proximity from each healthcare facility to the nearest tobacco vendor was calculated in walkable miles. Across NYS, tobacco retailer density ranged from 0 to 41.02 retailers per square mile. The availability of retailer tobacco near FQHC/LAL healthcare facilities and substance abuse and addiction treatment centers was higher in metropolitan areas than less urban areas as expected. School-based FQHC/LAL healthcare facilities had higher density than all other FQHC/LAL healthcare facilities types (Mean = 20.82 vs. 17.04, p = 0.0042), while opioid abuse and addiction treatment centers had on average higher density (Mean = 20.42 vs. 9.81, p < 0.0001) and closer proximity to a tobacco vendor (Mean = 0.14 vs. 0.36, p < 0.0001) than other substance abuse and addiction treatment centers. State and local tobacco control retailer reduction policies should be considered to reduce the availability of retail tobacco surrounding these facilities.

County-level associations between tobacco retailer density and smoking prevalence in the USA, 2012

We examine whether county-level tobacco retailer density and adult smoking prevalence are positively associated in the United States and determine whether associations differ in metropolitan vs. nonmetropolitan counties. We merged a list of likely tobacco retailers from the 2012 National Establishment Time-Series with smoking prevalence data from the Behavioral Risk Factor Surveillance System for 2828 US counties, as well as state tobacco policy information and county-level demographic data for the same year. We modeled adult smoking prevalence as a function of tobacco retailer density, accounting for clustering of counties within states. Average density in US counties was 1.25 retailers per 1000 people (range = 0.3–4.5). Smoking prevalence was 0.86 percentage points higher in the most retailer-dense counties, compared to the least. This association, however, was only significant for metropolitan counties. Metropolitan counties in the highest tobacco retailer density quartile had smoking prevalence levels that were 1.9 percentage points higher than metropolitan counties in the lowest density quartile. Research should examine whether policies limiting the quantity, type and location of tobacco retailers could reduce smoking prevalence.

Examining the role of a retail density ordinance in reducing concentration of tobacco retailers

Neighborhood characteristics and the built environment are important determinants in shaping health inequalities. We evaluate the role of a retail density ordinance in reducing concentration of tobacco stores based on neighborhood characteristics and land use pattern in San Francisco. The study evaluated the spatial distribution of tobacco retailers before and after the ordinance to identify geographic pockets where the most significant reduction had occurred. A generalized additive model was applied to assess the association between the location of the closure of tobacco retailer and socio-demographic characteristics and land use pattern. We did not find a meaningful change in the overall concentration of retailers based on neighborhood income and ethnicity but found a significant association based on patterns of land use. Our findings suggest that future polices must account for the differential distribution of retailers based on land use mix to lower concentration in areas where it is needed the most.

Pro-tobacco marketing and anti-tobacco campaigns aimed at vulnerable populations: A review of the literature

INTRODUCTION

We reviewed research literature on pro-tobacco marketing and anti-tobacco campaigns targeting eight vulnerable populations to determine key findings and research gaps. Results can inform tobacco policy and control efforts and the design of public education campaigns for these groups.

METHODS

Five journal databases in medicine, communication, and science, were used to identify 8875 peer-reviewed, original articles in English, published in the period 2004-2018. There were 144 articles that met inclusion criteria on pro-tobacco marketing or anti-tobacco campaigns aimed at eight US groups: women of reproductive age, racial/ethnic minority groups (African American, Hispanic/Latino, Asian/Pacific Islander and American Indian/Alaska Native), Lesbian/Gay/Bisexual/Transgender (LGBT) populations, groups with low socioeconomic status, rural/inner city residents, military/veterans, and people with mental health or medical co-morbidities. We summarized the number of articles for each population, type of tobacco, and pro-tobacco or anti-tobacco focus. Narrative summaries were organized by population and by pro-tobacco or anti-tobacco focus, with key strategies and gaps by group.

RESULTS

There were more studies on pro-tobacco marketing rather than anti-tobacco campaigns, and on cigarettes rather than other tobacco products. Major gaps included studies on Asian Americans, American Indian/Alaska Natives, pregnant women, LGBT populations, and those with mental health or medical co-morbidities. Gaps related to tobacco products were found for hookah, snus, and pipe/roll-your-own tobacco in the pro-tobacco studies, and for all products except cigarettes in anti-tobacco studies. Common tobacco industry methods used were tailoring of product and package design and messages that were used to reach and appeal to different sociodemographic groups. Studies varied by research design making it difficult to compare results.

CONCLUSIONS

We found major research gaps for specific groups and tobacco products. Public education campaigns need a stronger foundation in empirical studies focused on these populations. Research and practice would benefit from studies that permit comparisons across studies.

Cigarette retailer density around schools and neighbourhoods in Bali, Indonesia: A GIS mapping

INTRODUCTION

The presence and density of tobacco retailers is associated with the perception of high availability of cigarettes and ease of purchase. Indonesia is the second largest cigarette market in the world with an increasing smoking rate among young people aged 10-18 years. Our study aims to assess density of cigarette outlets in neighbourhoods and around schools, and to evaluate correlation between retailer proximity to schools and retailer selling practices.

METHODS

We conducted a geographical mapping and then an audit survey of 1000 randomly selected cigarette retailers in Denpasar, Bali, Indonesia. We measured neighbourhood retailer density, and retailer proximity to schools. We linked the coordinate data to the audit data to assess the association between retailer distance from schools with likelihood of selling tobacco to young people and selling single cigarette sticks.

RESULTS

We mapped 4114 cigarette retailers in Denpasar, the most common type was a kiosk, 3199 (77.8%), followed by mini market/convenience stores, 606 (14.7%). Retailer density was 32.2/km² and 4.6/1000 population. We found that 37 (9.7 %) of the 379 schools in Denpasar have at least one cigarette retailer within a 25 m radius and 367 (96.8%) within a 250 m radius. Of the 485 audited retailers within a 250 m radius of a school, 281 (57.9%) admitted selling cigarettes to young people and 325 (67.0%) sold cigarettes as single sticks. Cigarette retailers were less likely to sell cigarettes to young people based on distance from schools, but this was only significant at the furthest distance of more than 500 m from schools.

CONCLUSIONS

In an unregulated retailer setting such as Indonesia, cigarette retailers are ubiquitous and selling to young people is commonplace. The Indonesian government should enforce the prohibition on selling to young people and should regulate cigarette retailers to reduce youth access to cigarettes.

Socioeconomic inequalities in children's exposure to tobacco retailing based on individual-level GPS data in Scotland

BACKGROUND

Identifying factors shaping knowledge of and attitudes towards tobacco products in preadolescence is a key component supporting tobacco control policies aimed at preventing smoking initiation. This study quantified exposure to tobacco retailing environments within the individual-level activity spaces of children across a socioeconomic gradient.

METHODS

One week of global positioning system (GPS) tracking data were collected at 10 s intervals from a nationally representative sample of 10-11-year olds (n=692). Proximity of GPS locations (n=~16 M) to the nearest tobacco retailer (n=9030) was measured and exposure defined when a child came within 10 m of a retailer. Duration, frequency, timing and source of exposure were compared across income deprivation quintiles, along with retail density within children's home neighbourhoods.

RESULTS

On average, children were exposed to tobacco retailing for 22.7 min (95% CI 16.8 to 28.6) per week in 42.7 (35.2-50.1) independent encounters. However, children from the most deprived areas accumulated six times the duration and seven times the frequency of exposure as children from the least deprived areas. Home neighbourhood retail densities were 2.6 times higher in deprived areas, yet the average number of businesses encountered did not differ. Most exposure came from convenience stores (35%) and newsagents (15%), with temporal peaks before and after school hours.

CONCLUSIONS

By accounting for individual mobility, we showed that children in socially disadvantaged areas accumulate higher levels of exposure to tobacco retailing than expected from disparities in home neighbourhood densities. Reducing tobacco outlet availability, particularly in areas frequently used by children, might be crucial to policies aimed at creating 'tobacco-free' generations.

Social Capital and Tobacco Retail Outlet Density: An Empirical Test of the Relationship

PURPOSE

To examine the relationship between tobacco outlet density and social capital.

PARTICIPANTS

Parents of at least one teen (N = 2734) in a representative sample of US households with teens (ages 13-16).

DESIGN

Population-based, cross-sectional survey of a web panel of adolescent-parent pairs matched with spatial data for address to characterize household neighborhoods.

SETTING

US households identified by latitude and longitude with a 50-ft random shift.

MEASURES

Perceived social capital (trust and informal social control as reported by parents), tobacco outlet density (retailers per land area in 1/2-mile buffer around each household), neighborhood demographics (derived from American Community Survey), and parent demographics.

ANALYSIS

Multivariable regression examined the relationship between tobacco outlet density and social capital controlling for household buffer and individual-level covariates, including correlates of social capital.

RESULTS

Tobacco outlet density was inversely correlated with perceived trust in neighbors (B = -1.12, P = .0004), but not social control (B = 0.11, P = .731).

CONCLUSION

This study is the first we are aware of to find that social capital is related to tobacco outlet density. The results imply that individuals with low social capital may benefit from policies regulating tobacco outlet density and may benefit from policies that address neighborhood inequality by increasing social capital and reducing poverty.

The Relationship between Tobacco Retailer Density and Neighborhood Demographics in Ohio

INTRODUCTION

Studies from various parts of the country suggest that tobacco-related health disparities are exacerbated by disparities in the distribution of tobacco retailers (convenience stores, tobacco shops, etc.). The purpose of the present study was to use advanced spatial modeling techniques for count data to estimate current disparities in tobacco retailer density in Ohio.

METHODS

We identified and geocoded 11,392 tobacco retailers in Ohio. Next, we obtained census tract-level information on race/ethnicity, poverty, and age and obtained county-level information on whether an area was Urban, Suburban, or Rural. Finally, we used negative binomial generalized linear models, adapted for residual spatial dependence, to determine the association between per capita tobacco retailer density and demographic characteristics-summarized by adjusted rate ratios.

RESULTS

There were more (from 1.4-1.9 times as many) retailers per capita in high-poverty, vs. low-poverty tracts. Poverty also interacted with age: the association between high poverty and high retailer density was stronger for tracts with a low youth population. Density was also greater in tracts with a high (vs. low) prevalence of African Americans (1.1 times as many) and Hispanics (1.2 times as many). Finally, density was generally greater in rural (vs. suburban or urban) tracts, although the effect was modified by a three-way interaction: density was particularly high for rural tracts that also had both a high prevalence of poverty and a low youth population.

DISCUSSION

Overall, our findings indicate that Ohio's vulnerable populations are exposed to a greater per capita density of tobacco retailers.

PUBLIC HEALTH IMPLICATIONS

There is a need for state and local-level tobacco control policies that will improve equity and reduce health disparities.

Does Tobacco Outlet Inequality Extend to High-White Mid-Atlantic Jurisdictions? A Study of Socioeconomic Status and Density

Tobacco outlet density research has evolved to require a more refined examination of socioeconomic status' influence beyond median household income. This study investigates the effects of SES on census-tract-level tobacco outlet density in five predominantly White Maryland jurisdictions. Tobacco license addresses and demographic data were analyzed via t tests and spatial lag modeling. Results showed that higher SES jurisdictions had lower tobacco outlet density than lower SES jurisdictions despite similar White populations and that median household income had consistent associations with tobacco outlet density. This study corroborates findings that differences in SES correlate with differences in tobacco outlet density between racially similar areas.

Regulating the local availability of tobacco retailing in Madrid, Spain: a GIS study to evaluate compliance

Background

In Spain, tobacco sales are limited to tobacco-exclusive stores and associated vending machines. A minimum of 150 m between stores is required, unless they exceed a legal sales threshold. Minimum distances to schools are recommended but not defined. We evaluated compliance with these regulations in Madrid, Spain.

Methods

Information about tobacco-exclusive stores and their sales volume was obtained in 2014. We used geographic information system to identify stores closer than 150 m between them and examine whether they exceeded the sales threshold. We estimated distances between stores and schools, considering different distance intervals (<150 m, 150–300 m and >300 m) and calculations (crow flies and street network). We assessed the association of area-level demographic and socioeconomic characteristics with the distribution of tobacco stores.

Results

5.3% (34/638) of tobacco stores were within 150 m of each other. Among those, 76% (26/34) did not meet the regulation sales threshold. These stores were in areas with lower proportion of young population (<15 years) and higher proportion of people with university-level education. 75% (476/638) of stores were situated closer than 300 m to schools. No differences were identified in sociodemographic and economic characteristics by the store distance to schools.

Conclusion

Most tobacco stores are compliant with the regulations in Spain. However, these regulations are insufficient to reduce tobacco availability. More restrictive regulations are needed to limit the geographic distribution of tobacco retailers, and health criteria should also be considered in the current legislation. The evaluation of the Spanish regulatory model may provide useful insights for other jurisdictions looking to decrease the tobacco retail availability.

Neighbourhood characteristics and health outcomes: evaluating the association between socioeconomic status, tobacco store density and health outcomes in Baltimore City

INTRODUCTION

Several studies suggest that the health of an individual is influenced by the socioeconomic status (SES) of the community in which he or she lives. This analysis seeks to understand the relationship between SES, tobacco store density and health outcomes at the neighbourhood level in a large urban community.

METHODS

Data from the 55 neighbourhoods of Baltimore City were reviewed and parametric tests compared demographics and health outcomes for low-income and high-income neighbourhoods, defined by the 50th percentile in median household income. Summary statistics are expressed as median. Tobacco store density was evaluated as both an outcome and a predictor. Association between tobacco store densities and health outcomes was determined using Moran's I and spatial regression analyses to account for autocorrelation.

RESULTS

Compared with higher-income neighbourhoods, lower-income neighbourhoods had higher tobacco store densities (30.5 vs 16.5 stores per 10 000 persons, P=0.01), lower life expectancy (68.5 vs 74.9 years, P<0.001) and higher age-adjusted mortality (130.8 vs 102.1 deaths per 10 000 persons, P<0.001), even when controlling for other store densities, median household income, race, education status and age of residents.

CONCLUSION

In Baltimore City, median household income is inversely associated with tobacco store density, indicating poorer neighbourhoods in Baltimore City have greater accessibility to tobacco. Additionally, tobacco store density was linked to lower life expectancy, which underscores the necessity for interventions to reduce tobacco store densities.

Do 'environmental bads' such as alcohol, fast food, tobacco, and gambling outlets cluster and co-locate in more deprived areas in Glasgow City, Scotland?

This study utilised an innovative application of spatial cluster analysis to examine the socio-spatial patterning of outlets selling potentially health-damaging goods/services, such as alcohol, fast food, tobacco and gambling, within Glasgow City, Scotland. For all categories of outlets combined, numbers of clusters increased linearly from the least to the most income deprived areas (i.e. one cluster within the least deprived quintile to ten within the most deprived quintile). Co-location of individual types of outlets (alcohol, fast food, tobacco and gambling) within similar geographical areas was also evident. This type of research could influence interventions to tackle the co-occurrence of unhealthy behaviours and contribute to policies tackling higher numbers of 'environmental bads' within deprived areas.

Trends in Cigarette Advertising, Price-Reducing Promotions, and Policy Compliance in New York State Licensed Tobacco Retailers, 2004 to 2015

PURPOSE

To describe the presence of licensed tobacco retailers (LTRs), cigarette advertisements, price-reducing promotions, and compliance with tobacco control policies in New York State from 2004 to 2015 and to discuss implications and lessons learned from 11 years of experience conducting LTR surveys.

DESIGN

Annual surveys of tobacco advertising from cross-sectional, stratified random samples of LTRs in New York State from 2004 to 2015 were conducted by professional data collectors. Data for 2013 were unavailable as the survey was not fielded in that year.

SETTING

New York State.

PARTICIPANTS

Licensed tobacco retailers, which are stores licensed to sell tobacco in the state of New York. Between 3.6% (n = 800) and 19.7% (n = 3945) of all LTRs were sampled annually.

MEASURES

The presence and number of cigarette advertisements and the presence of price-reducing promotions, required age-of-sale signage, and self-service tobacco displays were documented.

ANALYSIS

We tested for significant differences between 2014 and 2015 and significant trends overall and by outlet type. We used logistic regression for binary outcomes and Poisson regression for count variables.

RESULTS

The number of LTRs in New York State decreased 22.9% from 2004 (n = 25 740) to 2015 (n = 19 855). The prevalence and number of cigarette advertisements and the prevalence of cigarette price-reducing promotions decreased significantly over time. Compliance with posting required age-of-sale signs increased significantly from 2004 to 2015 and from 2014 to 2015. Compliance with the ban on self-service tobacco displays was consistently near 100%.

CONCLUSION

The tobacco retail environment in New York State improved substantially from 2004 to 2015. The implications of these findings for youth and adult smoking and the associated social costs are unknown; however, decreases in pro-tobacco marketing, decreases in the number of LTRs, and improvements in compliance are likely to have positive impacts on youth and adult smoking outcomes, such as reduced initiation and increased cessation, given previous research findings.

Sociodemographic disparities in e-cigarette retail environment: Vape stores and census tract characteristics in Orange County, CA

Research shows disproportionate availability of tobacco retailers in disadvantaged neighborhoods, but little is known about the neighborhood correlates of e-cigarette specialty retailers (i.e., "vape stores"). We compiled addresses for all vape stores in Orange County (OC) (n = 174), CA, using a systematic internet search. Using American Community Survey data, we investigated the spatial structure and census tract correlates of vape store count. 23.4% of census tracts had at least one vape store, and those areas had higher percentage Hispanic population. Multivariate zero-inflated Poisson regressions revealed a higher incidence rate of vape stores in tracts with larger proportions of Hispanics, lower population density, and greater tobacco retailer density, net of other sociodemographic factors and zoning. These results suggest nicotine control initiatives in the age of e-cigarettes must consider the locational strategies of e-cigarette retailers, which are more common in Hispanic communities and areas already marked by tobacco retail activity.

Income Disparities in the Prevalence, Severity, and Costs of Co-occurring Chronic and Behavioral Health Conditions

BACKGROUND

Behavioral health problems usually co-occur along with physical health problems, resulting in higher health care costs. These co-occurring conditions are likely to be more prevalent and serious among low income patients, affecting both the quality and costs of care.

OBJECTIVE

To examine the prevalence, severity, and health care costs of co-occurring chronic and behavioral health conditions among low income people compared with higher income people.

METHODS

Analysis of the 2011-2014 Medical Expenditure Panel Survey. Sample includes 146,000 persons aged 18-64 years. Regression analysis was used to examine how the combination of behavioral health conditions and chronic health conditions is associated with health care expenditures, and how this association differs by family income.

RESULTS

(1) Comorbid behavioral health problems are more prevalent and serious among low income people with chronic conditions compared with higher income people; (2) among patients with co-occurring chronic and behavioral problems, average annual spending is greater among the low income patients ($9472) compared with high income patients ($7457); (3) higher costs among low income patients with co-occurring conditions reflects their poorer mental and physical health, relative to higher income patients.

CONCLUSIONS

For many low income people, comorbid behavioral problems need to be understood in the social context in which they live. Simply screening low income people for behavioral health problems may not be sufficient unless there is greater understanding of the mechanisms that both cause and exacerbate chronic and behavioral health problems in the low income population.

Neighborhood Variation in the Price of Cheap Tobacco Products in California: Results From Healthy Stores for a Healthy Community

BACKGROUND

Retail marketing surveillance research highlights concerns about lower priced cigarettes in neighborhoods with a higher proportion of racial/ethnic minorities but focuses almost exclusively on premium brands. To remedy this gap in the literature, the current study examines neighborhood variation in prices for the cheapest cigarettes and a popular brand of cigarillos in a large statewide sample of licensed tobacco retailers in a low-tax state.

METHODS

All 61 local health departments in California trained data collectors to conduct observations in a census of eligible licensed tobacco retailers in randomly selected zip codes (n = 7393 stores, completion rate=91%). Data were collected in 2013, when California had a low and stagnant tobacco tax. Two prices were requested: the cheapest cigarette pack regardless of brand and a single, flavored Swisher Sweets cigarillo. Multilevel models (stores clustered in tracts) examined prices (before sales tax) as a function of neighborhood race/ethnicity and proportion of school-age youth (aged 5-17). Models adjusted for store type and median household income.

RESULTS

Approximately 84% of stores sold cigarettes for less than $5 and a Swisher Sweets cigarillo was available for less than $1 in 74% of stores that sold the brand. The cheapest cigarettes cost even less in neighborhoods with a higher proportion of school-age residents and Asian/Pacific Islanders.

CONCLUSIONS

Neighborhood disparities in the price of the cheapest combustible tobacco products are a public health threat. Policy changes that make all tobacco products, especially combustible products, less available and more costly may reduce disparities in their use and protect public health.

IMPLICATIONS

Much of what is known about neighborhood variation in the price of combustible tobacco products focuses on premium brand cigarettes. The current study extends this literature in two ways, by studying prices for the cheapest cigarette pack regardless of brand and a popular brand of flavored cigarillos and by reporting data from the largest statewide sample of licensed tobacco retailers. Significantly lower prices in neighborhoods with a higher proportion of youth and of racial/ethnic groups with higher smoking prevalence are a cause of concern. The study results underscore the need for policies that reduce availability and increase price of combustible tobacco products, particularly in states with low, stagnant tobacco taxes.

Tobacco retail environment near housing programmes for patients with mental health conditions in New York City

OBJECTIVES

The current study sought to characterise the tobacco retail environment of supportive housing facilities for persons with mental health (MH) conditions in New York City (NYC) and to estimate the potential impact of a tobacco retail ban near public schools on the retail environment of MH housing in NYC.

METHODS

Texas A&M Geocoding Services was used to geocode the addresses of housing programmes for patients with MH conditions, non-MH residences, public schools and tobacco retailers in NYC. ESRI ArcMap was used to calculate the number of tobacco retailers within a 500-foot radius around each housing programme and school address point, and the Euclidean distance to the nearest retailer. Generalised linear models were used to compare retail counts and distance between MH and non-MH residences.

RESULTS

The mean number of tobacco retailers within 500 feet of an MH housing programme was 2.9 (SD=2.3) and the mean distance to nearest tobacco retailer was 370.6 feet (SD=350.7). MH residences had more retailers within 500 feet and a shorter distance to the nearest retailer compared with non-MH residences in Brooklyn, the Bronx and Staten Island (p<0.001). Banning tobacco licences within 350, 500 or 1000 feet of a school would significantly improve the tobacco retail environment of MH housing programmes and reduce disparities between MH and non-MH residences in some boroughs.

CONCLUSIONS

People with MH conditions residing in supportive housing in NYC encounter a heavy tobacco retail environment in close proximity to their home, and in some boroughs, one worse than non-MH residences. Implementing a ban on tobacco retail near public schools would improve the tobacco retail environment of MH housing programmes in NYC.

Inequalities in tobacco outlet density by race, ethnicity and socioeconomic status, 2012, USA: results from the ASPiRE Study

BACKGROUND

Evidence of racial/ethnic inequalities in tobacco outlet density is limited by: (1) reliance on studies from single counties or states, (2) limited attention to spatial dependence, and (3) an unclear theory-based relationship between neighbourhood composition and tobacco outlet density.

METHODS

In 97 counties from the contiguous USA, we calculated the 2012 density of likely tobacco outlets (N=90 407), defined as tobacco outlets per 1000 population in census tracts (n=17 667). We used 2 spatial regression techniques, (1) a spatial errors approach in GeoDa software and (2) fitting a covariance function to the errors using a distance matrix of all tract centroids. We examined density as a function of race, ethnicity, income and 2 indicators identified from city planning literature to indicate neighbourhood stability (vacant housing, renter-occupied housing).

RESULTS

The average density was 1.3 tobacco outlets per 1000 persons. Both spatial regression approaches yielded similar results. In unadjusted models, tobacco outlet density was positively associated with the proportion of black residents and negatively associated with the proportion of Asian residents, white residents and median household income. There was no association with the proportion of Hispanic residents. Indicators of neighbourhood stability explained the disproportionate density associated with black residential composition, but inequalities by income persisted in multivariable models.

CONCLUSIONS

Data from a large sample of US counties and results from 2 techniques to address spatial dependence strengthen evidence of inequalities in tobacco outlet density by race and income. Further research is needed to understand the underlying mechanisms in order to strengthen interventions.

The Effects of Discrimination Are Associated With Cigarette Smoking Among Black Males

Previous research has demonstrated that experiencing interpersonal discrimination is associated with cigarette smoking. Few studies have examined the relationship between the effects of physical and emotional discrimination and cigarette usage, and none have examined this relationship among Black men. The aim of this study was to examine the association between the effects of physical and emotional discrimination and cigarette smoking.

METHODS

Data from the Indiana Black Men's Health Study, a community-based sample of adult Black men, was used to conduct multivariate logistic regression to examine the relationship between the physical and emotional effects of discrimination and smoking, net of healthcare and workplace discrimination, age, education, household income, and being married.

RESULTS

After adjusting for having an emotional response to discrimination, health care and workplace discrimination, age, education, household income, and being married, males who had a physical response to discrimination (e.g., upset stomach or headache) had higher odds of cigarette use (odds ratio (OR): 1.95, 95% confidence interval (CI): 1.15-3.30) than men who did not have a physical response to discrimination.

CONCLUSION

Findings from the study suggest that Black males may use cigarette smoking as a means to mitigate the stress associated with experiences of discrimination. Future research is needed further to explore if and how Black males use cigarette smoking to cope with unfair treatment.

E-cigarette use among students and e-cigarette specialty retailer presence near schools

OBJECTIVE

This study examined the association between presence of e-cigarette specialty retailers near schools and e-cigarette use among middle and high school students in Orange County (OC), CA.

METHODS

The OC subsample of the 2013-2014 California Healthy Kids Survey (N=67,701) was combined with geocoded e-cigarette retailers to determine whether a retailer was present within one-quarter mile of each public school in OC. Multilevel logistic regression models evaluated individual-level and school-level e-cigarette use correlates among middle and high school students.

RESULTS

Among middle school students, the presence of an e-cigarette retailer within one-quarter mile of their school predicted lifetime e-cigarette use (OR=1.70, 95% CI=1.02, 2.83), controlling for confounders but no effect for current use. No significant effect was found for high school students.

CONCLUSIONS

E-cigarette specialty retailers clustered around schools may be an environmental influence on student e-cigarette experimentation.

Association Between Any Major Discrimination and Current Cigarette Smoking Among Adult African American Men

BACKGROUND

Findings from previous research has demonstrated a positive relationship between interpersonal discrimination and cigarette smoking. Cigarette smoking is proposed to be an externalizing coping mechanism used to alleviate discrimination. At the national level, it is unclear if discrimination is associated with cigarette smoking among African American men.

OBJECTIVE

The aim of the study was to examine the association between discrimination and cigarette smoking among a national sample of African American men.

METHODS

Using data from the National Survey of American Life (n = 1,271), multivariable logistic regression was used to examine the relationship between discrimination and cigarette smoking.

RESULTS

Thirty-two percent of the men were current smokers. Controlling for everyday discrimination, major discrimination, major stress, depressive symptoms, age, being married, household income, and education, African American men who experienced major discrimination had a higher odd of being a current smoking (odds ratio: 1.11, 95% confidence interval: 1.02-1.21) than African American men who did not experience major discrimination. Conclusion/Importance: Findings suggest that African American men may use cigarette smoking as a mechanism to alleviate the experiences of discrimination. Future studies should continue to examine factors associated with African American men's smoking behavior in efforts to inform culturally relevant interventions.

Retail Pharmacy Policy to End the Sale of Tobacco Products: What Is the Impact on Disparity in Neighborhood Density of Tobacco Outlets?

BACKGROUND

Population-level research on the implications of retail pharmacy policies to end the sale of tobacco products is scant, and the impact of such policies on racial/ethnic and socioeconomic disparities across neighborhoods in access to tobacco products remains unexplored.

METHODS

We investigated the association between neighborhood sociodemographic characteristics and tobacco retail density in Rhode Island (RI; N = 240 census tracts). We also investigated whether the CVS Health (N = 60) policy to end the sale of tobacco products reduces the disparity in the density of tobacco retail across neighborhoods, and we conducted a prospective policy analysis to determine whether a similar policy change in all pharmacies in RI (N = 135) would reduce the disparity in tobacco retail density.

RESULTS

The results revealed statistically significant associations between neighborhood sociodemographic characteristics and tobacco retail outlet density across RI neighborhoods. The results when excluding the CVS Health locations, as well as all pharmacies as tobacco retailers, revealed no change in the pattern for this association.

CONCLUSIONS

The results of this study suggest that while a commendable tobacco control policy, the CVS Health policy appears to have no impact on the neighborhood racial/ethnic and socioeconomic disparities in the density of tobacco retailers in RI. Prospective policy analyses showed no impact on this disparity even if all other pharmacies in the state adopted a similar policy.

IMPACT

Policy efforts aimed at reducing the disparity in access to tobacco products should focus on reducing the density of tobacco outlets in poor and racial/ethnic neighborhoods. Cancer Epidemiol Biomarkers Prev; 25(9); 1305-10. ©2016 AACR.