Pantry clients and Supplemental Nutrition Assistance Program-Education practitioners' perspectives on factors influencing healthy eating policy, system and environmental interventions in food pantries.

The Supplemental Nutrition Assistance Program-Education identified food pantries as a targeted setting for policy, system, and environmental (PSE) interventions to promote healthy eating among households who rely on pantries to supplement their food needs. The present study sought to identify factors influencing capacity and readiness to implement healthy eating PSE interventions in food pantries. Qualitative interviews were conducted via zoom with twenty-six community residents with experience receiving SNAP benefits and twelve SNAP-Ed staff in rural and urban counties in Ohio to identify themes and indicators related to community/organisational capacity and readiness to implement healthy eating PSE interventions in food pantries. Themes and related indicators generated based on inductive and deductive coding of interview transcripts were prioritised and weighted by eleven community nutrition experts during a virtual consensus conference. Five themes emerged; expert-derived weights (scaled low, 0 to high, 1) reflect the perceived importance of each to implementation of healthy eating PSE interventions in food pantries: food pantry capacity and logistics [0⋅252], networks and relationships [0⋅228], community nutrition practitioner capacity [0⋅212], food pantry user characteristics [0⋅156], and stigma and stereotypes [0⋅1⋅52]. Overall, seventeen indicators were identified reflecting these themes. Successful and sustained PSE interventions at food pantries will require a tailored approach that considers food pantries' capacity, needs and opportunities within the community, and capacity of community nutrition practitioners. The themes and indicators identified provide guidance for responsive PSE approaches in food pantries that meet communities where they are.

Spatial availability of federally qualified health centers and disparities in health services utilization in medically underserved areas.

Federally qualified health centers (FQHCs) improve access to care for important health services (e.g., preventive care), particularly among marginalized and underserved communities. However, whether spatial availability of FQHCs influences care-seeking behavior for medically underserved residents is unclear. The objective of this study was to examine the relationships of present-day zip-code level availability of FQHCs, historic redlining, and health services utilization (i.e., at FQHCs and any health clinic/facility) in six large states. We further examined these associations by states, FQHC availability (i.e., 1, 2-4 and ≥5 FQHC sites per zip code) and geographic areas (i.e., urbanized vs. rural, redlined vs. non-redlined sections of urban areas). Using Poisson and multivariate regression models, we found that in medically underserved areas, having at least one FQHC site was associated with greater likelihood of patients seeking health services at FQHCs [rate ratio (RR) = 3.27, 95%CI: 2.27-4.70] than areas with no FQHCs available, varying across states (RRs = 1.12 to 6.33). Relationships were stronger in zip codes with ≥5 FQHC sites, small towns, metropolitan areas, and redlined sections of urban areas (HOLC D-grade vs. C-grade: RR = 1.24, 95%CI: 1.21-1.27). However, these relationships did not remain true for routine care visits at any health clinic or facility (ß = -0.122; p = 0.008) or with worsening HOLC grades (ß = -0.082; p = 0.750), potentially due to the contextual factors associated with FQHC locations. Findings suggest that efforts to expand FQHCs may be most impactful for medically underserved residents living in small towns, metropolitan areas and redlined sections of urban areas. Because FQHCs can provide high quality, culturally competent, cost-effective access to important primary care, behavioral health, and enabling services that uniquely benefit low-income and marginalized patient populations, particularly those who have been historically denied access to health care, improving availability of FQHCs may be an important mechanism for improving health care access and reducing subsequent inequities for these underserved groups.

A Qualitative Study of Health Equity's Role in Community Coalition Development.

Opioid overdose deaths are dramatically increasing in the United States and disproportionately affecting minority communities, with the increasing presence of fentanyl exacerbating this crisis. Developing community coalitions is a long-standing strategy used to address public health issues. However, there is a limited understanding of how coalitions operate amid a serious public health crisis. To address this gap, we leveraged data from the HEALing Communities Study (HCS)-a multisite implementation study aiming to reduce opioid overdose deaths in 67 communities. Researchers analyzed transcripts of 321 qualitative interviews conducted with members of 56 coalitions in the four states participating in the HCS. There were no a priori interests in themes, and emergent themes were identified through inductive thematic analysis and then mapped to the constructs of the Community Coalition Action Theory (CCAT). Themes emerged related to coalition development and highlighted the role of health equity in the inner workings of coalitions addressing the opioid epidemic. Coalition members reported seeing the lack of racial and ethnic diversity within their coalitions as a barrier to their work. However, when coalitions focused on health equity, they noted that their effectiveness and ability to tailor their initiatives to their communities' needs were strengthened. Based on our findings, we suggest two additions to enhance the CCAT: (a) incorporating health equity as an overarching construct that affects all stages of development, and (b) ensuring that data about individuals served are included within the pooled resource construct to enable monitoring of health equity.

Residing in a Food Desert and Adverse Cardiovascular Events in US Veterans With Established Cardiovascular Disease.

Residents living in a "food desert" are known to be at a higher risk for developing cardiovascular disease (CVD). However, national-level data regarding the influence of residing in a food desert in patients with established CVD is lacking. Data from veterans with established atherosclerotic CVD who received outpatient care in the Veterans Health Administration system between January 2016 and December 2021 were obtained, with follow-up information collected until May 2022 (median follow-up: 4.3 years). A food desert was defined using the United States Department of Agriculture criteria, and census tract data were used to identify Veterans in these areas. All-cause mortality and the occurrence of major adverse cardiovascular events (MACEs; a composite of myocardial infarction/stroke/heart failure/all-cause mortality) were evaluated as the co-primary end points. The relative risk for MACE in food desert areas was evaluated by fitting multivariable Cox models adjusted for age, gender, race, ethnicity, and median household income, with food desert status as the primary exposure. Of the 1,640,346 patients (mean age 72 years, women 2.7%, White 77.7%, Hispanic 3.4%), 25,7814 (15.7%) belonged to the food desert group. Patients residing in food deserts were younger; more likely to be Black (22% vs 13%)or Hispanic (4% vs 3.5%); and had a higher prevalence of diabetes mellitus (52.7% vs 49.8%), chronic kidney disease (31.8% vs 30.4%,) and heart failure (25.6% vs 23.8%). Adjusted for covariates, food desert patients had a higher risk of MACE (hazard ratio 1.040 [1.033 to 1.047]; p <0.001) and all-cause mortality (hazard ratio 1.032 [1.024 to 1.039]; p <0.001). In conclusion, we observed that a large proportion of US veterans with established atherosclerotic CVD reside in food desert census tracts. Adjusting for age, gender, race, and ethnicity, residing in food deserts was associated with a higher risk of adverse cardiac events and all-cause mortality.

Risk factors and geographic disparities in premature cardiovascular mortality in US counties: a machine learning approach.

Disparities in premature cardiovascular mortality (PCVM) have been associated with socioeconomic, behavioral, and environmental risk factors. Understanding the "phenotypes", or combinations of characteristics associated with the highest risk of PCVM, and the geographic distributions of these phenotypes is critical to targeting PCVM interventions. This study applied the classification and regression tree (CART) to identify county phenotypes of PCVM and geographic information systems to examine the distributions of identified phenotypes. Random forest analysis was applied to evaluate the relative importance of risk factors associated with PCVM. The CART analysis identified seven county phenotypes of PCVM, where high-risk phenotypes were characterized by having greater percentages of people with lower income, higher physical inactivity, and higher food insecurity. These high-risk phenotypes were mostly concentrated in the Black Belt of the American South and the Appalachian region. The random forest analysis identified additional important risk factors associated with PCVM, including broadband access, smoking, receipt of Supplemental Nutrition Assistance Program benefits, and educational attainment. Our study demonstrates the use of machine learning approaches in characterizing community-level phenotypes of PCVM. Interventions to reduce PCVM should be tailored according to these phenotypes in corresponding geographic areas.

"A win-win for all of us": COVID-19 sheds light on the essentialness of child care as key infrastructure.

Child care centers in the United States allow many parents and caregivers to work in and outside of the home and support the growth and development of children. Child care closures and COVID-19 mitigation measures at the onset of the pandemic heightened the need for and awareness of the role of child care as core infrastructure. The purpose of our study was to examine the perceived role and benefits of child care based on the lived experiences of parents/caregivers and staff navigating child care during the pandemic. We conducted in-depth qualitative interviews with parents/caregivers (n = 20) of children who attended child care and staff (n = 12) who were working at child care programs in Ohio from September to November 2020. Qualitative data were coded and analyzed through the lens of four frameworks (i.e., capabilities, developmental, economics, and mutualism) related to child well-being. Our results highlight the perceived value of child care (a) for fostering capabilities and developmental growth in children; (b) for providing economic benefits for children, parents, and staff of child care programs; and (c) as an essential infrastructure that mutually benefits children, parents, families, staff, and the community. Findings support existing evidence regarding the broader impacts of child care and further investigation into the role of child care. We highlight the potential need for further investments in policies, resources, and supports for child care that reflects its essentialness and generative role.

Food insecurity and atherosclerotic cardiovascular disease risk in adults with diabetes.

OBJECTIVES: Adults with diabetes are at an increased risk of atherosclerotic cardiovascular disease (ASCVD), and food insecurity may be a major and underappreciated risk compounder in this population. We sought to analyze the prevalence of food insecurity and its association with ASCVD in adults with diabetes. METHODS: A total of 6424 participants with diabetes were included from the 2019 and 2020 National Health Interview Survey. Food insecurity was determined with a 10-question U.S. Adult Food Security Survey Module, and classified as high, marginal, low, and very low. ASCVD was defined as a self-reported history of coronary artery disease, myocardial infarction, or stroke. RESULTS: Of the 6424 included participants (weighted: n = 21 690 217), 5 405 543 (24.4%) reported a history of ASCVD and 2 946 061 (13.3%) were identified as food insecure (low or very low food security). Adults with food insecurity were more likely to have ASCVD than adults who were food secure (28.9% vs 23.7%; P = 0.008). In the multivariate analyses adjusted for traditional cardiovascular risk factors, all levels of food insecurity were associated with ASCVD compared with food-secure adults (marginal security: odds ratio [OR]: 1.60; 95% confidence interval [CI], 1.18-2.18]; P = 0.003; low security: OR: 2.09; 95% CI, 1.58-2.74]; P < 0.001; very low security: OR: 1.69; 95% CI, 1.22-2.34]; P = 0.001). The association persisted when adjusted for income, location, education, and insurance status. In adults with diabetes and ASCVD, income was a negative factor for food insecurity (OR: 0.71; 95% CI, 0.62-0.80; P < 0.001), but female sex and smoking were positive factors (OR: 1.90; 95% CI, 1.29-2.80; P = 0.001; and OR: 1.97; 95% CI, 1.23-3.18; P = 0.005; respectively). At younger ages, the prevalence of food insecurity increased, especially in adults with ASCVD. CONCLUSIONS: We showed that 13% of U.S. adults with diabetes are food insecure, which was associated with ASCVD independent of traditional and socioeconomic risk factors. Our findings emphasize the importance of recognizing food insecurity as a driver of ASCVD in adults with diabetes, and encourage future efforts at reducing this disparity.

Improving Surveillance and Epidemic Response in Ohio Childcare Settings.

At the start of the Coronavirus Disease of 2019 (COVID-19) pandemic, the risk of cases in childcare programs was unknown. Thus, a rapid-response research approach was launched in Ohio childcare settings. Passive surveillance data from a state-operated incident reporting system were evaluated to estimate the number of COVID-19 cases from 15 August 2020 to 1 January 2021. Additionally, active surveillance with self-administered reverse transcriptase-polymerase chain reaction (RT-PCR) tests were conducted among staff at 46 childcare programs. Finally, six zoom-based focus groups with program administrators were used to gain feedback. Staff and children in childcare settings contributed 0.38% and 0.15% of the COVID-19 cases in Ohio during this timeframe, respectively. RT-PCR testing identified 3 unrecognized cases (0.88% of tests), and all occurred when the statewide positivity rate was >5%. Focus groups revealed that access to affordable cleaning supplies, masks, and reliable staffing were critical. Perhaps most importantly, we conclude that expanding the incident reporting system to include a childcare census would allow for the tracking of future health problems with highly valuable incidence rate estimations.

Community Interventions for Childhood Asthma ED Visits and Hospitalizations: A Systematic Review.

A systematic review of interventions in community environments found significant reductions in childhood asthma exacerbations leading to emergency department visits and hospitalizations. BACKGROUND AND OBJECTIVES: Structural and social determinants of childhood asthma inequities manifest within geographic communities that are often segregated. Childhood asthma disproportionately affects Black, Hispanic, and low-income populations. Community interventions have the potential to improve inequities in emergency healthcare. This systematic review was conducted to assess the effectiveness of childhood asthma community interventions and provide a conceptual model to inform implementation of future community interventions. METHODS: Publications from PubMed, ScienceDirect, CINAHL, Cochrane Library, Web of Science, and hand searched references were examined from 2010 to 2021. Community intervention studies among children with asthma were included. Main outcomes were emergency department visits and hospitalizations. Community interventions exclusively focusing on schools or hospitals were excluded. Two reviewers independently assessed eligibility for final inclusion. Emergency healthcare findings were extracted in addition to co-benefits (eg, fewer missed school days and caregiver workdays). RESULTS: Out of 1856 records, 26 publications met the inclusion criteria. Community interventions were categorized by care coordination (n = 8), policy and environmental changes (eg, smoke-free legislature, traffic reduction models, and green housing) (n = 8), home-based (n = 6), and community-based health services (n = 4). Selected studies indicated that community interventions significantly reduced childhood asthma emergency department visits and hospitalizations through increased caregiver self-efficacy, home environmental trigger reduction, and increased access to healthcare. Because of heterogeneity among studies, we were unable to conduct a meta-analysis. CONCLUSIONS: Findings show significant associations between community interventions and the reduction of emergency healthcare, suggesting a protective effect for severe cases of childhood asthma.

Understanding SNAP Recipient Characteristics to Guide Equitable Expansion of Nutrition Incentive Programs in Diverse Food Retail Settings.

Structural barriers, such as food costs, reduce access to healthy foods for populations with limited income, including those benefitting from the Supplemental Nutrition Assistance Program (SNAP). Nutrition incentive programs seek to address this barrier. Evaluations of SNAP-based incentive programming often focus on one setting (i.e., either farmers' markets or grocery stores). We examined use patterns, characteristics, and preferences among 253 SNAP consumers with access to incentive programming at both a farmers' market and a grocery store located within five miles of their home. Cross-sectional survey data were collected in 2019 in two Ohio cities. Despite geographic access, 45% of those surveyed were not using the incentive program; most non-users (80.5%) were unaware of the program. Program users compared to non-users had higher household incomes (p < 0.001) and knew more people using the program (p < 0.001). Grocery stores were the most common setting of use (59%); 29% used at farmers' markets; 11% used in both settings. User characteristics varied by store setting based on demographics, program experience, fruit and vegetable purchasing and consumption patterns, and social dynamics related to use. Our findings support comprehensive awareness-raising efforts and tailored implementation of incentive programming that attends to diverse segments of SNAP consumers to promote equity in program reach.

Health outcomes in redlined versus non-redlined neighborhoods: A systematic review and meta-analysis.

BACKGROUND: Redlining was a racialized zoning practice in the U.S. that blocked fair access to home loans during the 1930s, and recent research is illuminating health problems in the current residents of these historically redlined areas. However, this work has not yet been holistically summarized. Here, we present the first systematic review and meta-analysis comparing health outcomes in redlined versus non-redlined neighborhoods in U.S. cities. METHODS: We extracted relevant articles in PubMed, Web of Science, Cochrane and Science Direct databases published from January 2010 to September 2021. RESULTS: The search revealed 12 studies on preterm births (n = 3), gunshot-related injuries (n = 2), cancer (n = 1), asthma (n = 1), self-rated health (n = 1), multiple health outcomes (n = 2), heat-related outcomes (n = 1) and COVID-19 incidence and mortality (n = 1). A meta-analysis of three studies found the odds of having preterm birth was significantly higher (OR = 1.41, 95% CI: 1.05, 1.88; p = 0.02) among women living in redlined areas compared to those in non-redlined areas. Review of other outcomes revealed that gunshot-related injuries, asthma, heat-related outcomes, and multiple chronic conditions were worse in redlined areas, while associations with cancer varied by cancer type. In terms of cause-specific mortality, one study revealed no link between residential redlining and infant mortality rate, while one study on COVID-19 outcomes was inconclusive. CONCLUSIONS: Overall, this review presents evidence that living in historically redlined areas is associated with increased risk of multiple serious adverse health outcomes. Further research on mechanisms, remediation, and neighborhood-level interventions is needed to strengthen the understanding of the impacts of redlining on health.

Food system dynamics structuring nutrition equity in racialized urban neighborhoods.

BACKGROUND: The food system is a social determinant of health and a leverage point for reducing diet-related racial inequities. Yet, food system interventions have not resulted in sustained improvement in dietary outcomes for underrepresented minorities living in neighborhoods with a history of disinvestment. Research is needed to illuminate the dynamics structuring food systems in racialized neighborhoods to inform intervention development. OBJECTIVES: To conduct participatory research examining the complexity and inequity of food systems in historically redlined neighborhoods to identify feedback mechanisms to leverage in efforts to transform system outcomes for racial equity. METHODS: We conducted a mixed-methods study in Cleveland, Ohio, USA from 2018 to 2021 using participatory system dynamic modeling with 30 academic and community partners, in-depth qualitative interviews with 22 key stakeholders, and public convenings with 250 local food policy council affiliates. Data were synthesized into causal loop diagrams depicting feedback mechanisms reinforcing or balancing neighborhood-level food system dynamics. RESULTS: We identified 10 feedback mechanisms structuring nutrition equity, which was identified as a meta-goal for food systems in racialized neighborhoods. Feedback mechanisms were organized in 3 domains: 1) meeting basic food needs with dignity (i.e., side hustle, government benefits, emergency food assistance, stigma, and stereotypes); 2) local food supply and demand dynamics (i.e., healthy food retail, job security, food culture, and norms); and 3) community empowerment and food sovereignty (i.e., community power, urban agriculture, risk of gentrification). Five exogenous factors moderate feedback dynamics: neighborhood crisis, neighborhood investments, household costs, government benefit funding, and voter participation. CONCLUSIONS: We identified nutrition equity as an overarching goal for local food systems, which reflects a state of having freedom, agency, and dignity in food traditions resulting in people and communities healthy in body, mind, and spirit. It is a transformative goal designed to spur system-level interventions that further racial equity through improved local food system dynamics.

Fixes that Fail: A system archetype for examining racialized structures within the food system.

Access to fresh and healthy food within a neighborhood has been identified as a social mechanism contributing to community health. Grounded in the understanding that challenges related to equity within a food system are both structural and systemic, our research demonstrates how systems thinking can further understandings of food system complexity. Within systems thinking, we provide an illustration of how system archetypes offer an analytic tool for examining complex community issues. We map semi-structured interview data from community stakeholders (N = 22) to the "Fixes that Fail" system archetype to illuminate systemic challenges, such as incarceration and poverty, that structure food system inequity in urban communities. Within our research, the "Fixes that Fail" archetype provided a narrative interpretive tool for unveiling complexity within the food system and interdependencies with racialized systems such as criminal justice and labor markets. This system archetype provided an accessible approach for generating narratives about systemic complexity, the production of inequity through racialized forces, and opportunities for transformation.

Identification of factors related to food insecurity and the implications for social determinants of health screenings.

BACKGROUND: Food insecurity and other social determinants of health are increasingly being measured at routine health care visits. Understanding the needs and behaviors of individuals or families who screen positive for food insecurity may inform the types of resources they need. The goal of this research was to identify modifiable characteristics related to endorsement of two food insecurity screener questions to better understand the resources necessary to improve outcomes. METHODS: Analysis was conducted focusing on cross-sectional survey data collected in 2015-2016 from participants (N = 442) living in urban neighborhoods in Ohio with limited access to grocery stores. Food insecurity was assessed by the endorsement of at least one of two items. These were used to categorize participants into two groups: food insecure(N = 252) or food secure (N = 190). Using logistic regression, we estimated the association between several variables and the food insecure classification. RESULTS: Those that used their own car when shopping for food had lower odds of reporting food insecurity, as did those with affirmative attitudes related to the convenience of shopping for and ease of eating healthy foods. As shopping frequency increased, the odds of food insecurity increased. Food insecurity also increased with experience of a significant life event within the past 12 months. There was an 81% increase in the odds of reporting food insecurity among participants who received Supplemental Nutrition Assistance Program benefits compared to those not receiving Supplemental Nutrition Assistance Program benefits. CONCLUSIONS: Along with referrals to SNAP, clinicians can further address screening-identified food insecurity through provision of transportation supports and linkages to other social services while collaborating on community initiatives to promote convenient and easy access to healthy foods. The needs and behaviors associated with screens indicating food insecurity also have implications for impacting other SDH, and thus, health outcomes.

Racialized Experiences Differentiate Food Security Among African American Adults.

BACKGROUND: Patterns of food security persistently vary by race, yet limited research has examined how community-specific experiences of race and racism are associated with nutritional outcomes. OBJECTIVES: This analysis describes a novel approach for classifying experiences of race and racism and explores the relationship between identified classes and measures of food security and diet quality. METHODS: Cross-sectional self-reported survey data from 306 African American adults living in two urban midwestern cities were collected in 2017-2018. Measures of racialized experiences assessed consciousness of race, perceived discrimination, and health effects of perceived discrimination. Food security was measured with a six-item screener and diet quality with the Healthy Eating Index-2010. Latent class analysis was used to generate racialized classes. Bivariate analyses were conducted to examine differences in class membership by sociodemographics and nutrition outcomes. RESULTS: Participants were majority women who were receiving Supplemental Nutrition Assistance Program benefits. Three racialized classes were identified: Class 1 reported few racialized experiences (42.8% of the sample), Class 2 was racially conscious with few experiences of discrimination (45.1%), and Class 3 was both racially conscious and affected by racialized actions (12.1%). Racialized classes were significantly different in mean household income, level of education, home ownership, and job loss in the past year. Class 3 was the least represented among those that were food secure and the most represented among those that were very low food secure. There were no differences by class in Healthy Eating Index-2010 scores. DISCUSSION: Findings offer an innovative method for measuring exposures to racism and for assessing its relationship to food security. Findings highlight heterogeneity of racialized experiences in similar contexts as well as potential root cause targets such as wages, education, home ownership, and employment that may be modulated to mitigate the effects of racism on food insecurity.

Elevated Dietary Inflammation Among Supplemental Nutrition Assistance Program Recipients Provides Targets for Precision Public Health Intervention.

INTRODUCTION: The Supplemental Nutrition Assistance Program was designed to prevent food insecurity among low-income Americans and has been linked to improvements in pregnancy health, long-term child development, and criminal recidivism. However, the pursuit of food security does not ensure nutritional sufficiency, and the program has not improved diet quality or cardiometabolic mortality (i.e., heart disease, stroke, diabetes). In this study, longitudinal cohort data are used to identify by Supplemental Nutrition Assistance Program status the proinflammatory characteristics that predispose to chronic disease. METHODS: Between 2015 and 2018, annual 24-hour dietary recalls were conducted with 409 residents from low-income, urban neighborhoods in Columbus and Cleveland, Ohio (statistical analysis started in 2019). The Dietary Inflammatory Index was calculated. It provides empirically validated estimates of the internal inflammation that each diet should produce; higher Dietary Inflammatory Index scores have been associated with elevated inflammatory biomarkers. Finally, associations between Supplemental Nutrition Assistance Program and Dietary Inflammatory Index were evaluated, and dietary components that differed by Supplemental Nutrition Assistance Program status were identified. RESULTS: Supplemental Nutrition Assistance Program recipients had higher Dietary Inflammatory Index scores (+0.40, 95% CI=0.09, 0.70) and a consistently lower intake of 4 anti-inflammatory nutrients (dietary fiber, ß-carotene, magnesium, vitamin E) than nonrecipients. Vitamin D intake did not differ by Supplemental Nutrition Assistance Program status but was well below the Recommended Daily Allowance in this sample. CONCLUSIONS: Supplemental Nutrition Assistance Program recipients had elevated Dietary Inflammatory Index scores, implying higher diet-driven inflammation. This was due, in part, to low intake of 4 anti-inflammatory food components, which were higher yet still nutritionally insufficient among nonrecipients. Findings highlight specific nutritional targets for improving public health through dietary change.

A relational approach to evaluate food environments finds that the proximate food environment matters for those who use it.

Using a relational approach, this study investigates whether shopping close to home moderates the relationship between the proximate food environment and diet. To address this question, we develop the proximate food retail quality (PFRQ) score, an inverse-distance weighted measure of all food retailers within a resident's neighborhood that incorporates audit data of each food retailer. This study relies on data collected through 24-h dietary recalls and psychosocial surveys administered to 449 adults in two socioeconomically matched neighborhoods. Food retailer audits collected data on the availability, price, and quality of healthful foods. Seventy-one percent of study participants report conducting at least 50% of their food shopping within approximately one mile of their home. Household income and education are associated with likelihood to shop close to home, while access to a personal vehicle is not. Finally, results suggest that, for residents who shop primarily close to home, a one unit increase in proximate food retail environment score is associated with a 17.2-point increase in HEI-2010 score, a measure of overall diet quality that ranges from zero to 100. This study suggests that the food environment matters for those who use it and that a low-quality proximate food environment can amplify individual disadvantage.

Association between ambient air pollution and county-level cardiovascular mortality in the United States by social deprivation index.

BACKGROUND: Air pollution and socioeconomic status have both been strongly associated with cardiovascular (CV) outcomes. We sought to determine if socioeconomic status modifies the risk association between fine particulate matter air pollution (PM2.5) and CV mortality. METHODS: We linked county-level age-adjusted CV mortality data from Multiple Cause of Death files (2000-2016, ICD10: I00-I99) with 2015 Social Deprivation Index (SDI), a validated estimate of socioeconomic status, and modelled spatial and temporal mean annual PM2.5 exposures (2012-2018). Higher SDI suggests greater deprivation and lower socioeconomic status. Associations between PM2.5 and age adjusted CV mortality were estimated using linear models. RESULTS: A total of 5,769,315 cardiovascular deaths from 2012-2018 across 3106 United States counties were analyzed. Both PM2.5 (ß (SE) 7.584 (0.938), P < .001) and SDI scores (ß (SE) 0.591 (0.140), P < .001) were independently associated with age-adjusted CV mortality (R2 = 0.341). The association between PM2.5 and CV mortality were stronger among counties with highest SDI, P value for interaction = .012. CONCLUSION: Social deprivation and PM2.5 exposures were independently associated with county level age-adjusted CV mortality. The associations between PM2.5 and CV mortality were stronger in counties with high vs low social deprivation. SDI and PM2.5 represent potential targets to reduce CV mortality disparities and interventions to reduce PM2.5 exposure may be most impactful in communities of low socioeconomic status.