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

Limiting tobacco accessibility by transitioning tobacco sales to state alcohol stores: estimated increases in travel time and changes in associated disparities

BACKGROUND

Transitioning tobacco sales (TTSs) to state-controlled stores would reduce tobacco retailer density, making tobacco less accessible while also providing infrastructure to support retailer licensing, raise prices and restrict marketing. Using 10 US states with an alcohol retail monopoly as an example, this study estimated population average increases in driving time associated with implementing TTS, reporting changes overall and by race, ethnicity and poverty status.

METHODS

This cross-sectional study combined 2020 licensing data, business records and American Community Survey 5-year estimates. Network (road-based) driving times to the nearest tobacco retailer were calculated at the census tract level for the status quo (existing tobacco retailers) and TTS counterfactual (state alcohol stores) in 2020. Travel times were weighted by subpopulations to assess equity reach of decreases in tobacco retailer accessibility.

RESULTS

On average, TTS would more than double travel times to the nearest tobacco retailer, resulting in a mean 119% increase in driving time (range: 30%-232%). The average per cent increase in travel time was slightly greater for black (127%) and Hispanic or Latino people (126%) than for white people (117%), and travel times increased more for black and/or Hispanic or Latino people in all states except Alabama, New Hampshire and Utah. There were larger increases in travel time for persons with incomes below the federal poverty line (vs above) in 7 of the 10 states.

CONCLUSIONS

The TTS policy would make tobacco less accessible and reduce racial, ethnic and socioeconomic disparities in tobacco retail accessibility in most of the states examined.

Correlation Among Neighborhood-Level Measures of the Tobacco Retail Environment

INTRODUCTION

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

AIMS AND METHODS

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

RESULTS

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

CONCLUSIONS

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

IMPLICATIONS

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

Detecting changes in tobacco product marketplace prominence using social media, advertising, sales, and web traffic data: The example of Puff Bar in the United States tobacco marketplace from 2019 to 2021

Puff Bar, a disposable electronic nicotine delivery system (ENDS), was the ENDS brand most commonly used by U.S. youth in 2021. We explored whether Puff Bar's rise in marketplace prominence was detectable through advertising, retail sales, social media, and web traffic data sources. We retrospectively documented potential signals of interest in and uptake of Puff Bar in the United States using metrics based on advertising (Numerator and Comperemedia), retail sales (NielsenIQ), social media (Twitter, via Sprinklr), and web traffic (Similarweb) data from January 2019 to June 2022. We selected metrics based on (1) data availability, (2) potential to graph metric longitudinally, and (3) variability in metric. We graphed metrics and assessed data patterns compared to data for Vuse, a comparator product, and in the context of regulatory events significant to Puff Bar. The number of Twitter posts that contained a Puff Bar term (social media), Puff Bar product sales measured in dollars (sales), and the number of visits to the Puff Bar website (web traffic) exhibited potential for surveilling Puff Bar due to ease of calculation, comprehensibility, and responsiveness to events. Advertising tracked through Numerator and Comperemedia did not appear to capture marketing from Puff Bar's manufacturer or drive change in marketplace prominence. This study demonstrates how quantitative changes in metrics developed using advertising, retail sales, social media, and web traffic data sources detected changes in Puff Bar's marketplace prominence. We conclude that low-effort, scalable, rapid signal detection capabilities can be an important part of a multi-component tobacco surveillance program.

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

ISSUES

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

APPROACH

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

KEY FINDINGS

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

IMPLICATIONS AND CONCLUSION

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

Comparison of Tobacco Product Prices at Fort Liberty Army Installation and Surrounding Community Areas, 2021

INTRODUCTION

High rates of tobacco use persist in the U.S. military, with 18.4% of service members smoking cigarettes in 2018. The Department of Defense's (DoD) 2017 policy required that tobacco retailers on military installations set tobacco product prices equal to the most common community price, including tax, but there is limited evidence confirming whether local retailers are adhering to this policy. We examined tobacco product pricing in tobacco retailers on- and off-post at the largest U.S. Army installation, Fort Liberty, and Cumberland County, North Carolina.

AIMS AND METHODS

Between June and August 2021, we collected data on tobacco product availability, price, and promotions from retailers on Fort Liberty (n = 14) and a random sample of off-post retailers within 10 miles of installation gates (n = 52). We calculated the mode, mean, and median price of each product, plus the difference in these prices at on- and off-post retailers. We used Welch's t-test to test differences in mean prices between on- versus off-post retailers.

RESULTS

The mode, mean, and median prices of cigarette packs and cartons were lower on-post than off-post (eg, $0.51-$0.55 cheaper for Marlboro cigarette packs on-post). However, the mode, mean, and median prices of smokeless tobacco products and little cigars were higher on-post than off-post (eg, $0.82-$0.89 more costly for Swisher Sweets 2-packs on-post).

CONCLUSIONS

Results highlight the need for continued enforcement to ensure compliance with the 2017 DoD policy. Comprehensive policy action to reduce tobacco price disparities on- and off-post is critical to reducing high rates of tobacco use among service members.

IMPLICATIONS

Despite the implementation of the 2017 DoD pricing policy, some tobacco products remain cheaper at tobacco retailers on-post compared to off-post retailers. Our results highlight the need for greater routine surveillance to increase implementation of the policy-particularly for cigarettes-to reduce high rates of tobacco use among service members.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Supply and demand effects between tobacco retailer density and smoking prevalence

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

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

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

Changes in Retail Tobacco Product Availability Following a Chicago City Ordinance Restricting Sales of Menthol and Other Flavored Tobacco Products Near Schools

BACKGROUND

In April 2016, the City of Chicago implemented an ordinance restricting the sale of all flavored (including menthol) tobacco products (FTPs), including electronic cigarettes, at retailers located within 500 feet of any public, private, or alternative elementary, middle ("primary"), or high ("secondary") school. We examined changes in retail availability of FTPs from before to after policy implementation among policy-affected retailers compared with retailers not subject to the policy.

METHOD

Observational data were collected in June to September 2015 (Wave 1; pre-policy) and November to December 2016 (Wave 2; post-policy) from a panel of 194 randomly selected policy-area stores (located within 500 feet of a school), and a panel of 199 randomly selected comparison-area stores (located more than 500 feet from a school). Using generalized estimation equation regression, we assessed differences in FTP availability changes across study areas.

RESULTS

We observed a statistically significant policy effect on FTP availability (Area × Wave interaction, p < .05); however, more than half of policy-area retailers continued to display at least one FTP after policy implementation (87.11% at Wave 1, 57.73% at Wave 2, p < .05). Similar reductions were seen for the availability of flavored cigarillos/little cigars and menthol cigarettes, while policy effects varied across store types.

DISCUSSION

FTP availability reductions appear to be associated with policy implementation, but FTPs remained readily available at retailers subject to the policy. This study contributes to the evidence base indicating that policies with exclusions or exemptions for certain flavors, products, store types, or retailer locations have a limited effect on retail availability of FTPs.

Changes in retail tobacco product sales and market share among retail payroll establishments in the U.S. Economic Census between 1997 and 2017

The tobacco industry spends the vast majority of their marketing and promotional budget at retail outlets. However, few studies have used publicly available data to examine trends in the number and types of retail establishments where tobacco products are sold. Using the U.S. Economic Census for 1997, 2002, 2007, 2012 and 2017 (the latest year), we examined the number, type, and sales of payroll establishments selling tobacco products. Nine store types accounted for 94% - 99% of tobacco product sales between 1997 and 2017. Gas/convenience stores had the greatest market share (33% - 49% of tobacco sales). The number of warehouse clubs selling tobacco quadrupled; however, market share only increased from 9.6% to 10.3%. Supermarkets experienced the largest decrease in percent of stores selling tobacco. Pharmacy tobacco sales increased in 2012 then decreased in 2017; per store sales volume more than doubled between 1997 and 2012. Online shopping accounted for less than 1% of the market share between 1997 and 2012, but rose to 6.3% in 2017. Between 1997 and 2017, consumers shifted where they purchased tobacco products. Declining tobacco sales in supermarkets is a promising trend for consumers seeking healthy food without exposure to tobacco product marketing; however, the consistently large number of tobacco retailers, and thus widespread tobacco availability, is concerning. Consumer tobacco purchase changes over time support the case for point-of-sale policies that affect different retail types, including pharmacy bans, to reduce tobacco retailer density. Additionally, the rapid shift to online tobacco purchasing in 2017 identifies a new target for enhanced regulation and enforcement.

Exploring the Presence and Type of Premium Cigar Retailers With Neighborhood Sociodemographic Correlates in the United States, 2019-2021

INTRODUCTION

Little is known about the location and store type of premium cigar retailers in the United States. Different store types may expose people to secondhand smoke (eg, cigar bar or lounge) and may also have age restrictions (eg, tobacco shops) that could reduce youth exposure to products and marketing.

AIMS AND METHODS

We obtained a national retailer dataset from the Premium Cigar Association (PCA) from 2019 to 2021. We coded store type using nine categories and used generalized estimating equations to examine associations between census tract sociodemographic characteristics and PCA store type.

RESULTS

Of the 1279 PCA retailers, the majority were cigar stores (39%), followed by tobacco shops (26%), cigar bars or lounges (20%), and beer, wine, or liquor stores (15%). Overall, there were no statistically significant associations between tract-level sociodemographic characteristics and the odds that a retailer was a specific store type versus another store type. However, PCA retailers located in tracts with a higher percentage of non-Hispanic Black residents were associated with 1.12 times the odds of being a cigar bar or lounge versus another type (95% CI, 1.02 to 1.22).

CONCLUSIONS

The majority of PCA retailers are specialty cigar stores or cigar bars or lounges, and few are more traditional tobacco retailers, such as convenience stores. We document a higher odds of a store being a cigar bar or lounge for retailers located in neighborhoods with a higher proportion of Black residents, which may contribute to inequities in tobacco-related disease and disability because of potentially greater secondhand smoke exposure.

IMPLICATIONS

Specialized retailers account for most premium cigar stores. One in five PCA retailers was a cigar bar or lounge, which raises public health concerns around exposure to secondhand smoke for patrons and employees. Local jurisdictions should examine zoning ordinances in tandem with sociodemographic characteristics to ensure inequities in the location of cigar bars or lounges are not produced or sustained given the potential harms associated with secondhand smoke exposure.

Changes in the Point-of-Sale Among Vape Shops in Six U.S. Metropolitan Areas Over Time, 2018-2021

INTRODUCTION

E-cigarette retail surveillance is needed during regulatory changes, like the U.S. increasing minimum legal sales age to 21 (T21) and flavor restrictions (2019 and 2020) and certain state/localities increasing related restrictions.

AIMS AND METHODS

We examined regulatory compliance (eg, minimum-age signage), promotional strategies (eg, health claims), and products at 2 timepoints among vape shops across six U.S. metropolitan statistical areas (MSAs; Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle). In summer 2018, pairs of trained auditors assessed randomly selected shops (n = ~30/MSA). In fall 2021, audits were conducted among 2018 shops (if open and allowed) and additional randomly selected shops (n = ~20/MSA). Data from 179 shops in 2018 and 119 in 2021 (43 from the 2018 sample) were compared.

RESULTS

There were decreases (p < .01) in the proportion of shops with (1) minimum-age signs (90.5% vs. 73.9%), (2) their own e-liquid brand (68.2% vs. 44.5%), onsite vaping (73.2% vs. 46.2%), counter seating (65.2% vs. 34.5%), and e-liquid sampling (90.0% vs. 33.6%), and (3) signs with product/price promotions (89.9% vs. 65.5%), health/cessation claims (29.1% vs. 12.6%), and cartoon imagery (27.4% vs. 11.8%). The proportions selling wet/dry vaporizers (26.4% vs. 39.5%), CBD products (23.3% vs. 71.4%), and pipes/glassware/papers (18.4% vs. 52.9%) increased. In 2021, many sold THC (12.6% e-liquids, 62.2% other products) and kratom (40.3%).

CONCLUSIONS

With increasing restrictions (eg, on flavors, sampling, and T21), fewer shops sold their own e-liquid brands or accommodated onsite use/sampling, but fewer also posted minimum-age signage. Notably, more offered cannabis-related products. These changes underscore the need for comprehensive surveillance to assess regulatory impact.

IMPLICATIONS

The past 6 years marked increasing e-cigarette sales restrictions in the United States, yet limited research has examined the implications for tobacco specialty shops selling e-cigarettes. This study found that, from 2018 to 2021, there were significant decreases in the proportion of vape shops with their own e-liquid, onsite vaping, e-liquid sampling, lounge/counter seating, and price promotions, as well as minimum-age signs. There were increases in the proportion selling cannabis-derived products and related paraphernalia. Tobacco control research and regulatory agencies must consider how tobacco specialty stores have evolved alongside legislative changes that impact them and consumers.

Alcohol and Public Health: Failure and Opportunity

Policy Points Public health science regarding alcohol consumption and problems, alcohol's role in equity and social justice, and identification of effective policy interventions has grown steadily stronger in the past 30 years. Progress on effective alcohol policies has stalled or gone backward in the United States and much of the world. Because alcohol influences at least 14 of the 17 sustainable development goals, as well as more than 200 disease and injury conditions, reducing alcohol problems should offer a platform for collaboration across public health silos but will require that public health itself respect and follow its own science.

Urban-rural differences in tobacco product availability in food retailers, United States, 2017

PURPOSE

Tobacco use prevalence is higher in rural compared to urban settings, possibly due to differences in tobacco availability, including the option to purchase food and other essential items in stores that do not sell tobacco (tobacco-free food retailers). The goal of this research is to determine whether tobacco-free food retailer availability varies by urbanicity/rurality.

METHODS

Using the 2017 National Establishment Time-Series database, we identified food retailers across all census tracts containing food retailers in the United States (n = 66,053). We used multivariable logistic and linear regression models to test whether tobacco-free food retailer availability varied across 4-levels of census tract urbanicity/rurality (urban, suburban, large town, and small town/rural) for 2 outcomes: (1) the presence of at least 1 tobacco-free food retailer and (2) the percent of all food retailers that were tobacco-free.

FINDINGS

Compared to urban core census tracts, suburban census tracts had a lower odds (aOR = 0.77, 95% CI = 0.73, 0.81) of having at least 1 tobacco-free food retailer, while small town/rural census tracts had greater odds (aOR = 1.23, 95% CI = 1.15, 1.32). Suburban census tracts (B = -2.29, P < .001) and large town census tracts (B = -1.90, P < .001) also had a lower percentage of tobacco-free food retailers compared to urban census tracts.

CONCLUSIONS

Compared to urban cores, tobacco-free food retailers were less prevalent in suburban and large town areas, though similarly or slightly more available in rural areas. Future research should assess whether these differences depend on varying store types.

Tobacco Retail Outlets, Neighborhood Deprivation and the Risk of Prenatal Smoke Exposure

INTRODUCTION

Smoking and smoke exposure among pregnant women remain persistent public health issues. Recent estimates suggest that approximately one out of four nonsmokers have measurable levels of cotinine, a marker indicating regular exposure to secondhand smoke. Epidemiological research has attempted to pinpoint individual-level and neighborhood-level factors for smoking during pregnancy. However, most of these studies have relied upon self-reported measures of smoking.

AIMS AND METHODS

To more accurately assess smoke exposure resulting from both smoking and secondhand exposure in mothers during pregnancy, we used Bayesian regression models to estimate the association of cotinine levels with tobacco retail outlet (TRO) exposure and a neighborhood deprivation index (NDI) in six counties in North Carolina centered on Durham County.

RESULTS

Results showed a significant positive association between TRO exposure (β = 0.008, 95% credible interval (CI) = [0.003, 0.013]) and log cotinine after adjusting for individual covariates (eg, age, race/ethnicity, education, marital status). TRO exposure was not significant after including the NDI, which was significantly associated with log cotinine (β = 0.143, 95% CI = [0.030, 0.267]). However, in a low cotinine stratum (indicating secondhand smoke exposure), TRO exposure was significantly associated with log cotinine (β = 0.005, 95% CI = [0.001, 0.009]), while in a high cotinine stratum (indicating active smoking), the NDI was significantly associated with log cotinine (β = 0.176, 95% CI = [0.005, 0.372]).

CONCLUSIONS

In summary, our findings add to the evidence that contextual factors are important for active smoking during pregnancy.

IMPLICATIONS

In this study, we found several significant associations that suggest a more nuanced understanding of the potential influence of environmental- and individual-level factors for levels of prenatal smoke exposure. Results suggested a significant positive association between TRO exposure and cotinine levels, after adjusting for the individual factors such as race, education, and marital status. Individually, NDI was similarly positively associated with cotinine levels as well. However, when combining TRO exposure alongside NDI in the same model, TROs were no longer significantly associated with overall cotinine levels.

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.

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).