Community-Based Cluster-Randomized Trial to Reduce Opioid Overdose Deaths.

BACKGROUND: Evidence-based practices for reducing opioid-related overdose deaths include overdose education and naloxone distribution, the use of medications for the treatment of opioid use disorder, and prescription opioid safety. Data are needed on the effectiveness of a community-engaged intervention to reduce opioid-related overdose deaths through enhanced uptake of these practices. METHODS: In this community-level, cluster-randomized trial, we randomly assigned 67 communities in Kentucky, Massachusetts, New York, and Ohio to receive the intervention (34 communities) or a wait-list control (33 communities), stratified according to state. The trial was conducted within the context of both the coronavirus disease 2019 (Covid-19) pandemic and a national surge in the number of fentanyl-related overdose deaths. The trial groups were balanced within states according to urban or rural classification, previous overdose rate, and community population. The primary outcome was the number of opioid-related overdose deaths among community adults. RESULTS: During the comparison period from July 2021 through June 2022, the population-averaged rates of opioid-related overdose deaths were similar in the intervention group and the control group (47.2 deaths per 100,000 population vs. 51.7 per 100,000 population), for an adjusted rate ratio of 0.91 (95% confidence interval, 0.76 to 1.09; P = 0.30). The effect of the intervention on the rate of opioid-related overdose deaths did not differ appreciably according to state, urban or rural category, age, sex, or race or ethnic group. Intervention communities implemented 615 evidence-based practice strategies from the 806 strategies selected by communities (254 involving overdose education and naloxone distribution, 256 involving the use of medications for opioid use disorder, and 105 involving prescription opioid safety). Of these evidence-based practice strategies, only 235 (38%) had been initiated by the start of the comparison year. CONCLUSIONS: In this 12-month multimodal intervention trial involving community coalitions in the deployment of evidence-based practices to reduce opioid overdose deaths, death rates were similar in the intervention group and the control group in the context of the Covid-19 pandemic and the fentanyl-related overdose epidemic. (Funded by the National Institutes of Health; HCS ClinicalTrials.gov number, NCT04111939.).

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.

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.

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 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.

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.

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.

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.

Small Improvements in an Urban Food Environment Resulted in No Changes in Diet Among Residents.

Living in a low-income neighborhood with low access to healthy food retailers is associated with increased risk for chronic disease. The U.S. Healthy Food Financing Initiative (HFFI) provides resources to support the development of infrastructure to improve neighborhood food environments. This natural experiment examined a HFFI funded food hub that was designed to be implemented by a community development corporation in an urban neighborhood in Cleveland, Ohio. It was intended to increase access to affordable, local, and healthy foods; establish programs to increase social connections and support for healthy eating; and create job opportunities for residents. We used a quasi-experimental, longitudinal design to externally evaluate food hub implementation and its impact on changes to the built and social environment and dietary patterns among residents living in the intervention neighborhood (n = 179) versus those in a comparison (n = 150) neighborhood. Overall, many of the food hub components were not implemented fully, and dose and reach of the executed food hub components was low. There were statistically significant improvements in observed availability of healthy foods in the intervention neighborhood versus the comparison neighborhood. There were no changes over time in diet quality scores, total caloric intake, or fruit and vegetable intake in the intervention neighborhood. In conclusion, low dose implementation of a food hub led to small improvements in availability of healthy foods but not in dietary patterns. Findings highlight challenges to implementing a food hub in neighborhoods with low access to healthy food retailers.

Food security moderates relationship between perceived food environment and diet quality among adults in communities with low access to healthy food retail.

OBJECTIVE: To examine the relationship between food security status, diet quality measured using Healthy Eating Index-2010 (HEI-2010) scores, demographics and the following factors: perceptions of healthy food availability, healthy eating identity and perceived control of healthy eating. DESIGN: A cross-sectional study in 2016-2017 using three 24-h dietary recalls and one psychosocial survey. SETTING: Two urban communities in Cleveland and Columbus, Ohio, USA, with low access to healthy food retailers. PARTICIPANTS: Primary food shoppers living in the targeted geographic areas (N 450). RESULTS: Our results indicated that high school graduates had lower HEI-2010 scores compared with participants who had some college education or more (ß = -2·77, P = 0·02). Participants receiving Supplemental Nutrition Assistance Program (SNAP) benefits had lower HEI-2010 scores (ß = -2·69, P = 0·03). Healthy eating identity was associated with higher HEI-2010 scores (ß = 1·85, P = 0·004). Food security status moderated the relationship between perception of healthy food availability and HEI-2010 scores. Among participants with very low food security (VLFS), greater perceptions of healthy food availability were associated with higher HEI-2010 scores (ß = 3·25, P = 0·03), compared with food secure participants. Only 14 % of VLFS participants used a personal vehicle as transportation to their primary food shopping store. CONCLUSIONS: Findings offer targets for future intervention development and evaluation to promote community nutrition. These targets include strategies to improve the value of SNAP benefits, promote access to quality education, increase transportation options to healthy food retailers and develop nutrition programming to promote healthy eating identity.

Predictors of Supplemental Nutrition Assistance Program Use at Farmers' Markets With Monetary Incentive Programming.

PURPOSE: Healthy food incentive program implementation targeting people receiving Supplemental Nutrition Assistance Program (SNAP) benefits is supported by the federal Food Insecurity Nutrition Incentive (FINI) grant program. This study examined factors contributing to increased SNAP use at farmers' markets with an FINI-funded incentive program. DESIGN: Implementation evaluation. SETTING: Sixteen states and District of Columbia. PARTICIPANTS: Two hundred eighty-two FINI-funded farmers' markets open in 2016. MEASURES: Weekly SNAP sales and transactions per 1000 SNAP households in the Zip Code Tabulation Areas around markets. ANALYSIS: Two-level hierarchical regression modeling. RESULTS: Most farmers' markets (53%) had less than 100 SNAP transactions in 2016. Weekly SNAP sales and transactions per 1000 SNAP households were 69.9% and 47.7% higher, respectively, if more than 1 incentive was available versus 1. Not having paid market staff resulted in declines in these sales (-34.3%) and transactions (-38.1%) compared to markets with paid staff. There was a 6.2% and 5.1% increase in SNAP sales and transactions for each additional produce vendor. Weekly SNAP sales and transactions were about 2 to 3 times higher in rural areas compared to metropolitan. Clustering of markets within states explained 10% of the variation in weekly SNAP sales and transactions. CONCLUSION: Four implementation factors were identified that may facilitate the reach of SNAP-based monetary incentive programs at farmers' markets to maximize reach and impact among SNAP shoppers.

Identifying Indicators of Readiness and Capacity for Implementing Farm-to-School Interventions.

BACKGROUND: Farm-to-school interventions are recommended strategies to improve dietary behaviors among school-aged children. Tools are needed to assess community readiness and capacity to optimize farm-to-school implementation. The objective of this study was to identify and prioritize factors to inform tailored farm-to-school implementation by practitioners working in diverse contexts. METHODS: Practitioners and community residents (N = 194) participated in semistructured interviews (N = 18) and focus groups (N = 23). Thematic analysis was conducted to identify themes and subthemes influencing farm-to-school implementation. The subthemes were operationalized into measureable indicators. The themes and their associated indicators were prioritized through a consensus conference with an expert panel (N = 18). RESULTS: The qualitative data analysis and consensus conference yielded 4 themes and 17 indicators associated with community readiness and capacity to implement farm-to-school. The themes represent school capacity, networks and relationships, organizational and practitioner capacity, and community resources and motivations. CONCLUSIONS: Findings highlight a range of indicators of community readiness and capacity needed to support farm-to-school implementation. Results offer guidance for tailoring intervention delivery based on levels of community, school, practitioner, and organizational readiness and capacity.

Socioecological Path Analytic Model of Diet Quality among Residents in Two Urban Food Deserts.

BACKGROUND: Diet is critical to chronic disease prevention, yet there are persistent disparities in diet quality among Americans. The socioecological model suggests multiple factors, operating at multiple levels, influence diet quality. OBJECTIVE: The goal was to model direct and indirect relationships among healthy eating identity, perceived control of healthy eating, social support for healthy eating, food retail choice block scores, perceptions of healthy food availability, and food shopping behaviors and diet quality measured using Healthy Eating Index-2010 scores (HEI-2010) for residents living in two urban communities defined as food deserts. DESIGN: A cross-sectional design was used including data collected via self-reported surveys, 24-dietary recalls, and through objective observations of food retail environments. PARTICIPANTS/SETTING: Data collection occurred in 2015-2016 in two low-income communities in Cleveland (n=243) and Columbus (n=244), OH. MAIN OUTCOME MEASURE: HEI-2010 scores were calculated based on the average of three 24-hour dietary recalls using the Nutrition Data System for Research. ANALYSIS: Separate path models, controlled for income, were run for each community. Analysis was guided by a conceptual model with 15 hypothesized direct and indirect effects on HEI-2010 scores. Associations were considered statistically significant at P<0.05 and P<0.10 because of modest sample sizes in each community. RESULTS: Across both models, significant direct effects on HEI-2010 scores included healthy eating identity (ß=.295, Cleveland; ß=.297, Columbus, P<0.05) and distance traveled to primary food store (ß=.111, Cleveland, P<0.10; ß=.175, Columbus, P<0.05). Perceptions of healthy food availability had a significant, inverse effect in the Columbus model (ß=-.125, P<0.05). The models explained greater variance in HEI-2010 scores for the Columbus community compared with Cleveland (R2=.282 and R2=.152, respectively). CONCLUSIONS: Findings highlight the need for tailored dietary intervention approaches even within demographically comparable communities. Interventions aimed at improving diet quality among residents living in food deserts may need to focus on enhancing healthy eating identity using culturally relevant approaches while at the same time addressing the need for transportation supports to access healthy food retailers located farther away.

A food hub to address healthy food access gaps: Residents' preferences.

Interventions aimed at improving access to healthy food in low-income communities should consider the preferences of residents. Household food shoppers in two urban, low-income communities were asked about their preferences for vendors at, and qualities of, a potential nearby food hub. Universally, participants preferred availability of whole foods, primarily fruits and vegetables. They also favored cleanliness, quality, and affordability. The demographics and preferences of potential customers raise central issues that would need to be integrated into the development of a food hub, namely affordability (likely through subsidization), attention to accommodation and cultural accessibility, and programming that builds community.