Development of a systematic social observation tool for monitoring use of harm reduction supplies.

BACKGROUND: Harm reduction services such as safer injection supply distribution are essential to reducing morbidity and mortality among people who use drugs (PWUD); however, local use of harm reduction supplies (e.g., tourniquets, saline solution) is difficult to routinely and systematically monitor. The purpose of this study was to develop and validate a systematic social observation tool designed to assess use of harm reduction supplies at the street block level. METHODS: Data collection took place on a random sample of 150 blocks located throughout the Kensington neighborhood of North Philadelphia from November 2021 to January 2022. We measured inter-rater reliability by two-way mixed-effects intra-class correlation coefficients (ICC) with the consistency agreement definition and internal consistency reliability using Cronbach's alpha and McDonald's omega. Exploratory factor analysis with principal component extraction and promax rotation assessed internal consistency. We validated scales against locations of public syringe disposal boxes, a proxy measure for areas of concentrated drug use, using logistic regression. RESULTS: Naloxone canisters, syringe caps, saline and sterile water solution bottles showed the highest reliability (ICC≥0.7). Items also showed high internal consistency (alpha, omega>0.7). Exploratory factor analysis identified one, three-item scale with high internal consistency: syringe caps, vials, and baggies (alpha = 0.85; omega = 0.85)-all supplies used concurrently with drug injection but not discarded in syringe disposal boxes. Drug use (OR = 1.78, 95 % CI = (1.48, 2.23)), harm reduction (OR = 3.53, 95 % CI = (2.20, 6.12)), and EFA scales (OR = 1.85, 95 %CI = (1.51, 2.34)) were significantly and positively associated with being within walking distance (≤0.25 miles or 0.4 km) of a syringe disposal box. CONCLUSION: This study provides an efficient tool with high reliability and validity metrics to assess community uptake of harm reduction supplies designed for use by community organizations, policy makers, or other groups providing resources to PWUD.

Establishing the Relative Accuracy of Using City Directories as Proxies to Define and Reconstruct Historical Alcohol Environments.

OBJECTIVE: Research on alcohol environments has established that poorer and minoritized communities are frequently overburdened by off-premise outlets (e.g., liquor stores). These outlets have more associated harms, including increased alcohol consumption and crime rates. Little, if any, research has shown how these socio-spatial disparities in exposure have grown or shifted over time, and no studies have established a method for re-creating historical alcohol environments. METHOD: Our results suggest that in our study city of Flint, MI, disparities in the alcohol environment have narrowed since 1950. Although liquor stores are still more likely to be located in poorer and more heavily African American neighborhoods, the pattern has become insignificant over time. Furthermore, the number of alcohol outlets per capita has declined. Thus, although the city remains more overburdened with alcohol outlets than its suburbs, the disparity has shrunk. CONCLUSIONS: This work has implications for those working in alcohol prevention and policy, as well as in urban planning. Practitioners and researchers can use this method to model alcohol availability over time in their own communities, which helps better inform the discussion on disparities experienced in poor and minoritized neighborhoods.

Peer Recovery Coaches Perceptions of Their Work and Their Implications for Training, Support and Personal Recovery.

The peer recovery workforce, including individuals in sustained recovery from substance use, has grown rapidly in the previous decades. Peer recovery coaches represent a scalable, resource-efficient, and acceptable approach to increasing service delivery, specifically among individuals receiving substance use services in low-resource communities. Despite the potential to improve access to care in traditionally underserved settings, there are a number of barriers to successfully integrating peer recovery coaches in existing recovery services. The current study presents results from two focus groups composed of peer recovery coaches. Findings suggest that peer recovery coaches report discordance between their perceived role and their daily responsibilities and experience both inter- and intrapersonal challenges that impact their own recovery processes. These results point to several promising policy and structural changes that may support and enhance this growing workforce.

Using trajectory modeling of spatio-temporal trends to illustrate disparities in COVID-19 death in flint and Genesee County, Michigan.

COVID-19's rapid onset left many public health entities scrambling. But establishing community-academic partnerships to digest data and create advocacy steps offers an opportunity to link research to action. Here we document disparities in COVID-19 death uncovered during a collaboration between a health department and university research center. We geocoded COVID-19 deaths in Genesee County, Michigan, to model clusters during two waves in spring and fall 2020. We then aggregated these deaths to census block groups, where group-based trajectory modeling identified latent patterns of change and continuity. Linking with socioeconomic data, we identified the most affected communities. We discovered a geographic and racial gap in COVID-19 deaths during the first wave, largely eliminated during the second. Our partnership generated added and immediate value for community partners, including around prevention, testing, treatment, and vaccination. Our identification of the aforementioned racial disparity helped our community nearly eliminate disparities during the second wave.

Trajectory Modeling of Spatio-Temporal Trends in COVID-19 Incidence in Flint and Genesee County, Michigan.

PURPOSE: The establishment of community-academic partnerships to digest data and create actionable policy and advocacy steps is of continuing importance. In this paper, we document COVID-19 racial and geographic disparities uncovered via a collaboration between a local health department and university research center. METHODS: We leverage individual level data for all COVID-19 cases aggregated to the census block group level, where group-based trajectory modeling was employed to identify latent patterns of change and continuity in COVID-19 diagnoses. RESULTS: Linking with socioeconomic data from the census, we identified the types of communities most heavily affected by each of Michigan's two waves (in spring and fall of 2020). This includes a geographic and racial gap in COVID-19 cases during the first wave, which is largely eliminated during the second wave. CONCLUSIONS: Our work has been extremely valuable for community partners, informing community-level response toward testing, treatment, and vaccination. In particular, identifying and conducting advocacy on the sizeable racial disparity in COVID-19 cases during the first wave in spring 2020 helped our community nearly eliminate disparities throughout the second wave in fall 2020.

Symptoms of Depression and Anxiety Among Black Medical Students: the Role of Peer Connectedness and Perceived Discrimination.

This study examined the association between discrimination, peer connectedness, and mental health symptoms among Black medical students. Data were collected from a convenience sample of Black medical students via an anonymous electronic questionnaire (n = 733) in year 2020. The Patient-Reported Outcomes Measurement Information System Depression and Anxiety forms were used to measure depression and anxiety symptoms. Structural equation modeling was used to examine the association between discrimination, peer connectedness, and mental health symptoms (Mplus 7.3). The majority of the participants were female (80%), approximately 40% were third or fourth year medical school students, and 13% had a clinical diagnosis of depression/anxiety before medical school. About half of the students reported being watched more closely than their classmates, and 66% reported feeling the need to work twice as hard as others to get the same treatment or evaluation. The majority of students reported that their peers were supportive of their academic success (60.7%), and 53% reported that students often or always invited them to social outings. The mean T-score for depressive symptoms was 53.6 (SD = 7.8), and the mean T-score for anxiety symptoms was 58.6 (SD = 8.4). Overall, findings indicated a high prevalence of anxiety and depression symptoms among Black medical students, and increased discrimination was associated with more mental health symptoms among males. Additionally, increased peer connectedness was associated with fewer symptoms of anxiety among males and females and fewer depressive symptoms among females. Addressing discrimination among medical students may improve mental health among Black medical students.

Evaluation of a Local Ordinance to Prevent Any Underage Purchases in Liquor Stores: The Need for Enforcement.

OBJECTIVE: In June 2012, Baltimore City, MD, enacted legislation (commonly referred to as the Mosby Bill) prohibiting all liquor stores (outlets that primarily sell alcoholic beverages) from selling "any food, goods, wares, supplies, or other merchandise to any person under the age of 18." Three years after enactment, we evaluated the impact of this legislation on non-alcohol product sales among youth. METHOD: Research assistants (RAs) ages 16-20 were trained in using a standardized observational tool to quantify and record characteristics of the outlets, including products sold. A trained pair comprising one RA age 16 to 20 and one RA exactly age 18 were sent into every liquor store (i.e., packaged goods stores and bar/taverns with packaged goods sales) in Baltimore to conduct the assessment and make a non-alcohol purchase. Since the research was not conducted in concert with the police, the 18-year-old RA made the purchase attempt while the other (age 16 to 20) RA completed the assessment. RESULTS: Purchase attempts were made at 502 liquor stores, and 352 of those attempts were successful (able to make purchase without being asked for identification or age; noncompliance rate = 68.1%). Noncompliance was highest among packaged goods stores compared with bar/taverns, and in neighborhoods with a lower median household income and a higher proportion of African American residents (p < .050). Noncompliant outlets were also located closer to public schools (p < .050). CONCLUSIONS: This evaluation demonstrates that, in the absence of enforcement, ordinances are neither likely to be honored nor to achieve the intended public health benefits.

Linking historical discriminatory housing patterns to the contemporary food environment in Baltimore.

Food access literature links disinvested communities with poor food access. Similarly, links are made between discriminatory housing practices and contemporary investment. Less work has examined the relationship between housing practices and food environment disparities. Our central premise is that these practices create distinctions in food environment quality, and that these disparities may have implications for food system advocacy and policymaking. In this paper, we link an objective food environment assessment with a spatial database highlighting redlining, blockbusting, and gentrification in Baltimore, Maryland, USA. Standard socioeconomic and housing characteristics are used to control for race, income, and housing composition in a multivariate regression analysis. Our findings highlight that blockbusting-rather than redlining-most strongly shapes poor food access. Redlining and gentrification, meanwhile, are associated with better food access. These findings raise important points about future policy discussions, which should instead be focused on ameliorating more contemporary patterns of housing inequality.

Discrepancies in Local, State, and National Alcohol Outlet Listings: Implications for Research and Interventions.

BACKGROUND: The availability of local, state, and national data on alcohol outlet density have important implications for policies and interventions aiming to reduce alcohol-related problems. High-quality data on locations of alcohol outlets is important to accurately inform community interventions and public health initiatives, but such data is often not maintained, readily available, or of sufficient quality. Objectives: This study aims to examine the discrepancies between alcohol outlet databases and how neighborhood characteristics (i.e. income, majority racial population, urbanicity) are associated with the discrepancies between databases. Methods: Data was collected from national (n = 1), local (n = 2), and state databases (n = 3). Negative binomial regression models were used to assess discrepancies in alcohol outlet count at the ZIP code level based on the data source. Results: The average density of alcohol outlets (per 1000 residents) ranged from 0.71 to 2.17 in Maryland, 1.65 to 5.17 in Wisconsin, and 1.09 to 1.22 in Oregon based on different sources of data. Findings suggest high income areas (>200% poverty level) have fewer discrepancies (IR = 0.775, p < 0.01), low income areas (below poverty level) have greater discrepancies (IR = 4.990, p < 0.01), and urban areas tend to have fewer discrepancies (IR = 0.378, p < 0.01) between datasets. Conclusion: Interventions and policies depend on valid and reliable data; researchers, policymakers, and local agencies need to collaborate to develop methods to maintain accurate and accessible data.

Using Zoning as a Public Health Tool to Reduce Alcohol Outlet Oversaturation, Promote Compliance, and Guide Future Enforcement: a Preliminary Analysis of Transform Baltimore.

Alcohol outlet oversaturation often exacerbates negative public health outcomes. Recently, Baltimore City passed an extensive zoning rewrite ("TransForm Baltimore") that sought to give local government and residents a tool to reduce alcohol outlet oversaturation through land use regulation. The present investigation evaluated the outlet and neighborhood characteristics of stores impacted by two components of TransForm Baltimore: (1) a requirement that taverns licensed for on-premise consumption in addition to off-premise, carryout sales generate at least 50% of their business from on-premise sales, and (2) a requirement to close, repurpose, or relocate all package stores (i.e., off-premise alcohol outlets) that have been operating as "non-conforming" in residential zones since 1971. Research assistants visited every off-premise alcohol outlet in the city (n = 685) to complete an observational assessment. Approximately 77% (n = 530) of these off-premise alcohol outlets were open, including 292 taverns and 238 package stores. t tests and chi-square tests were used to compare neighborhood characteristics (neighborhood disadvantage, median household income, and racial segregation) of sham taverns (i.e., taverns with less than 50% space dedicated for on-premise sales that were primarily operating as a package store) and non-conforming package stores. Of the 292 taverns accessible during the study, the remainder were chronically closed (n = 130); 24 (8.2%) were deemed sham taverns. Sham taverns were more likely to be located in communities with more economic disadvantage and lower median household income (t test; p < 0.05). Compared to taverns, a lower proportion of sham taverns had visible dance floor space, patrons drinking, and menus available (chi-square test; p < 0.001). There were 80 residentially zoned, non-conforming alcohol outlets. These non-conforming alcohol outlets were disproportionately distributed in predominately poor and African American communities (t test; p < 0.05). As compared to conforming alcohol outlets, more non-conforming alcohol outlets sold sex paraphernalia and healthy foods (chi-square test; p < 0.05). With active enforcement, TransForm Baltimore offers the opportunity for local government and residents to improve public health and increase health equity in vulnerable and marginalized neighborhoods.

Measurement of Social Processes at the Neighborhood Level in Baltimore City.

Small-area ecological research is critical to inform place-based interventions at the neighborhood level; however, objective measurement of the social context has been limited. The current study extends the application of the Neighborhood Inventory for Environmental Typology (NIfETy) through the development and evaluation of measures of social context for a longer period of observation (3 years) and at a larger area of aggregation (census tract clusters) compared to previous studies using measures at the block-face level from a single observation. Observations from the 172-item inventory were collected from a random sample of block faces (n = 793) in Baltimore City annually over a three-year period. Through a multistep process including replication of previous measures, data reduction, and factor analysis, six unique neighborhood-level indices were generated to describe the environmental context: drug and alcohol use, violence, physical disorder, epicenter, youth activity, and improvements. An assessment of measurement consistency and validity provided support for some indices, while others had notable limitations. These indices can assist local policymakers and public health practitioners assessing the needs of individual neighborhoods and evaluating the effectiveness of place-based interventions designed to improve the neighborhood environment and population health outcomes.

Alcohol Advertising and Violence.

INTRODUCTION: Numerous studies have found associations between alcohol outlet density and violence, but it is unknown whether alcohol advertisements visible outside outlets are also associated with violent crime. Baltimore City, MD enacted restrictions on retail alcohol establishment advertising practices as of June 5, 2017. This study examines the association between alcohol advertisements visible outside off-premise alcohol outlets and violent crime before this restriction. METHODS: Outlet observations (n=683) were conducted in summer 2015, and violent crime data (n=24,085) were from June 5, 2015, through June 4, 2017. The number of violent crimes per square mile within 1,000 feet of outlets was summed using kernel density estimation. In 2018-2019, authors used mixed models with a Simes-Benjamini-Hochberg correction for multiple testing. RESULTS: Roughly half (47%, n=267) of the outlets with complete data (n=572) had alcohol advertisements visible from the exterior. Outlets with alcohol advertisements had 15% more violent crimes per square mile within 1,000 feet (eß=1.15, 95% CI=1.07, 1.25, q<0.001) after adjusting for neighborhood context. All associations between alcohol advertisements and specific types of violent crime were significant, with the association strongest for homicides (eß=1.28, 95% CI=1.13, 1.46, q<0.001). There was no association between cigarette advertisements and violent crime (eB=1.08, 95% CI=0.92, 1.26, q=0.43). CONCLUSIONS: Alcohol advertisements visible outside off-premise outlets were associated with increased violent crime over and above the association between the outlets themselves and violent crime. Reducing alcohol advertising visible from the street may decrease risk of violent crime that is associated with alcohol outlets.

Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation.

A growing body of evidence suggests that characteristics of the neighborhood environment in urban areas significantly impact risk for drug use behavior and exposure to violent crime. Identifying areas of community need, prioritizing planning projects, and developing strategies for community improvement require inexpensive, easy to use, evidence-based tools to assess neighborhood disorder that can be used for a variety of research, urban planning, and community needs with an environmental justice frame. This study describes validation of the Neighborhood Inventory for Environmental Typology (NIfETy), a neighborhood environmental observational assessment tool designed to assess characteristics of the neighborhood environment related to violence, alcohol, and other drugs, for use with Google Street View (GSV). GSV data collection took place on a random sample of 350 blocks located throughout Baltimore City, Maryland, which had previously been assessed through in-person data collection. Inter-rater reliability metrics were strong for the majority of items (ICC ≥ 0.7), and items were highly correlated with in-person observations (r ≥ 0.6). Exploratory factor analysis and constrained factor analysis resulted in one, 14-item disorder scale with high internal consistency (alpha = 0.825) and acceptable fit indices (CFI = 0.982; RMSEA = 0.051). We further validated this disorder scale against locations of violent crimes, and we found that disorder score was significantly and positively associated with neighborhood crime (IRR = 1.221, 95% CI = (1.157, 1.288), p < 0.001). The NIfETy provides a valid, economical, and efficient tool for assessing modifiable neighborhood risk factors for drug use and violence prevention that can be employed for a variety of research, urban planning, and community needs.

Coping, Discrimination, and Physical Health Conditions Among Predominantly Poor, Urban African Americans: Implications for Community-Level Health Services.

African Americans and ethnic minorities experience racial discrimination in a variety of settings. Racial discrimination is a potent stressor that has been linked to psychosocial stress and poor physical health. To cope with discriminatory experiences and daily life event stressors, African Americans frequently use the concept of John Henryism (a high effort coping strategy with prolonged exposure to stress). This cross-sectional analysis explored the relationship between racism/discrimination, John Henryism, and health problems in a predominately African American sample. Data were collected through health care screenings for hypertension, diabetes, and obesity and a self-report survey to assess experiences of discrimination and use of John Henryism. Logistic and linear regression models were used to assess the relationship between the John Henryism score, racism/discrimination score, and health problems among 352 participants. John Henryism was associated with a decrease in systolic blood pressure (b = - 12.50, 95% CI = - 23.05, - 1.95) among men, after adjusting for experiences of racism/discrimination and demographic characteristics. Experiences of racism/discrimination were associated with an increase in systolic blood pressure (b = 11.23, 95% CI = 0.38, 22.09) among men, after adjusting for John Henryism and demographic characteristics. Among women, there was no association found between John Henryism and experiences of racism/discrimination with systolic blood pressure. No association was found between John Henryism and experiences of racism/discrimination with being overweight/obese in women nor men. The study found that John Henryism was positively associated with the health of men, while experiences of racism/discrimination were negatively associated with their health. Limitations of the study are discussed, and recommendations are made to guide future research exploring the concept of John Henryism as a relevant factor between stress, racial discrimination and poor health.

Racial discrimination, John Henryism coping, and behavioral health conditions among predominantly poor, urban African Americans: Implications for community-level opioid problems and mental health services.

The current study examined the relationship between John Henryism Active Coping (JHAC), experiences of racial discrimination, and behavioral health outcomes in a community sample of 319 Black adults. Assessments included primary health care screenings as well as self-reported survey questions to assess JHAC, experiences of discrimination, and self-reported behavioral health. Logistic regression models, adjusted for control variables, found a significant relationship between JHAC and having an opioid problem (odds ratio [OR] = 0.95, p = 0.003) and needing mental health services (OR = 0.95, p < 0.001), such that higher levels of coping were associated with lower odds of reporting an opioid problem and needing mental health services. Notably, racial discrimination was not significantly independently associated with behavioral health. Implications for interventions and community programming are discussed.

Community-engaged development of a GIS-based healthfulness index to shape health equity solutions.

Addressing health disparities requires both community engagement and an understanding of the social determinants of health. Although elements of the built environment can influence behavior change in public health interventions, such determinants have not been explicitly teased out via participatory mapping. An opportunity exists to integrate community voice in the development of such metrics. To fill this gap and inform the deployment of public health interventions in the Flint (USA) Center for Health Equity Solutions (FCHES), we created a means of assessing spatially-varying community needs and assets in a geographic information system (GIS), what we refer to as a healthfulness index. We engaged community and academic partners in their expert opinions on features of Flint's built environment that may promote or inhibit healthy behaviors via a multiple-criteria decision analysis framework. Experts selected from and ranked 29 variables in 6 categories (including amenities, environment, greenspace, housing, infrastructure, and social issues) using the analytic hierarchy process. The resulting matrices of expert opinions were aggregated and appended as weights for each variable's corresponding map layer. When combined through map algebra, composite scores yield spatially-varying healthfulness indices which signal any neighborhood's relative health promoting qualities (along a 0-100 scale). Results varied substantially across Flint, with the middle belt scoring highest and older neighborhoods in the northeast and north center of the city scoring lowest. Scores were aggregated to 38 Flint neighborhoods; for each of two project-specific indices, these ranged from lows of 38.7 (Hilborn Park) and 41.8 (Columbia Heights) to highs of 52.9 (College Cultural) and 58.0 (University Ave Corridor). We hypothesize that-even when controlling for individual-level factors-we will measure better and more sustained behavior change among participants living in neighborhoods with high healthfulness scores. Future work will examine this hypothesis and determine the importance of such indices in other similar communities.

When Marijuana Is Used before Cigarettes or Alcohol: Demographic Predictors and Associations with Heavy Use, Cannabis Use Disorder, and Other Drug-related Outcomes.

Recent loosening of state and federal policy restrictions on marijuana, along with changes in social norms regarding marijuana use and decreases in prevalence of other types of substance use, may lead to increases in youth initiating marijuana before other types of substances such as alcohol and tobacco. We investigated predictors and potential consequences of initiating marijuana before other drugs for youth aged 12-21-years in the USA. Nationally representative, cross-sectional survey data from the US National Survey on Drug Use and Health supplied self-reported age of first marijuana, cigarettes, alcohol, other tobacco, and other illegal drug use among 12-21-year-old samples from 2004 to 2014 (n = 275,559). We first examined the degree to which initiating marijuana use first was associated with sex, age, race/ethnicity, and survey year. Then, we examined whether using marijuana first predicted heavy marijuana use, cannabis use disorder (CUD), alcohol use disorder (AUD), nicotine dependence (ND), or lifetime use of other illegal drugs. Among all survey youth (substance users and non-users), the proportion using marijuana first increased from 4.8 to 8.8% from 2004 to 2014. Those using marijuana first (vs. alcohol or cigarettes first) were more likely to be male and older and Black, American Indian/Alaskan Native, multiracial, or Hispanic than White or Asian. Among substance users and adjusting for age of onset and the number of substances used, using marijuana first was associated higher odds of heavy current marijuana use and CUD. In recent years, youth have been increasingly likely to use marijuana as their first drug and sequence of initiation is associated with race/ethnicity, gender, and age. Using marijuana first might increase the chance of heavy use and CUD.

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.

Individual and Neighborhood Factors Associated With Sexual Behavior Classes in an Urban Longitudinal Sample.

BACKGROUND: This study aimed to increase understanding of the clustering of sexual behaviors in an urban sample of emerging adults, and the individual and neighborhood factors associated with sexual behavior patterns to provide insight into reducing the disproportionate burden of poor sexual outcomes among urban African Americans. METHODS: We draw on 2 cohorts of urban, predominantly African American youth first assessed at age 6 years and follow-up to emerging adulthood (mean age, 20 years; n = 1618). Latent class analyses by gender identified co-occurrence of sexual behavior. RESULTS: We found 3 classes for both males and females: high-risk (13% of males, 15% of females), low-risk (54% of males, 56% of females) and no-risk (33% of males, 29% of females). Membership in the high-risk class was associated with school dropout, a substance use disorder diagnosis, having a criminal arrest, pregnancy, and sexually transmitted diseases for both males and females. High-risk females also had higher rates of depression. Low-risk males and females also had elevated risk of pregnancy and parenthood. Neighborhood factors distinguished the high- and no-risk classes for males and females, including the neighborhood environment scale, which assessed poverty, safety, drug activity, and crime/violence in the neighborhood. Neighborhood religiosity was inversely associated with membership in the high-risk class compared with the no-risk class for females only. Neighborhood racism distinguished those in the high-risk class compared with the no-risk class for males. CONCLUSIONS: Future work should take into account the clustering of sexual risk behaviors. Specific neighborhood factors could be addressed to reduce sexual health disparities.

Understanding the relationship between alcohol outlet density and life expectancy in Baltimore City: The role of community violence and community disadvantage.

This research investigated the relationship between alcohol outlet density (AOD) and life expectancy, as mediated by community violence and community disadvantage. We used linear regression models to assess bivariate and multivariate relationships. There was a negative bivariate association between liquor store density and average life expectancy (ß = -7.3370, p < 0.001). This relationship was partially attenuated when controlling for community disadvantage and fully attenuated when controlling for community violence. Bars/taverns (i.e., on-premise) were not associated with average life expectancy (ß = -0.589, p = 0.220). Liquor store density is associated with higher levels of community disadvantage and higher rates of violence, both of which are associated with lower life expectancies. Future research, potential intervention, and current related policies are discussed.