Retail Food Environment Research Articles

Refining large-scale spatial metrics of food access

Large scale metrics of food access are frequently used to identify spatial inequities and for targeting local government intervention. The Food Access Research Atlas by the USDA and the Modified Retail Food Environment Index by the CDC are two such measures frequently used at the census-tract level. This paper uses spatial analyses to identify ways in which they can be refined for better actionability. Outcomes from this paper are threefold: (i) Upon examination of the average food environment, it finds that we might be undercounting rural census tracts with low food access relative to urban tracts; (ii) Disaggregating the often-conflated goals of physical access for food equity and nutritional access for public health might help targeting interventions; (iii) Data on food environments, and underlying assumptions on food consumption behavior should be investigated with greater caution.

SynthEco - A multi-layered digital ecosystem for analysing complex human behaviour in context

Introduction & BackgroundHuman behaviour is multi-faceted and complex, with different dimensions interacting and impacting each other and individuals operating in an environmental context. In order to understand this behaviour better, the combination of data from different sources is useful to uncover some of those interactions and complexities. We present a multi-layered digital ecosystem based on a data platform providing statistically representative synthetic population derived from census data at different geo-spatial granularity, which we call SynthEco. This platform is enriched with individual data stemming from cohorts and cross-sectional surveys and geo-scanning of different layers of socio-environmental actors and conditions to create a complex digital ecosystem.
 Objectives & ApproachThe objective of SynthEco is to allow for the analysis of behaviour, as well as health and wellbeing outcomes, through the integration of cohort and cross-sectional data into a geospatially anchored synthetic population embedded into environmental data which is forming the backdrop. We demonstrate the use of this platform on the example of Montreal, Canada. The synthetic population is first generated from census data using iterative proportional fitting, which allows for the creation of a population data set that is artificial yet statistically representative for a given geospatial granularity, such as a city. Each individual household is assigned a geospatial location, which allows for the consideration of their surrounding environment including enterprises or institutions such as schools, hospitals and the local food environment. Through fuzzy matching and statistical extrapolation, different cohort and cross-sectional survey data are then merged to individual records, in order to describe them in more detail. This includes health, as well as financial wellbeing or social environment descriptors.
 Relevance to Digital FootprintsThere are two important points made through the presented work in relation to Digital Footprints data: the first is the technical approach to merging multiple datasets describing different dimensions of interacting human characteristics and behaviour by anchoring them into a synthetic population through fuzzy record matching. The second is the consideration of a spatial dimension when describing human behaviour. This is especially important when describing behaviour within local environments, such as the interaction with local food outlets.
 ResultsRecent work in this context includes an analysis of the food environment in Montreal, Canada. It introduces a way of utilising the synthetic population to predict the healthfulness of their local environment in terms of healthy food outlets, as well as providing a platform for the analysis of food environment surveillance and intervention simulations. For this purpose, the healthfulness of different census tract regions in Montreal is calculated to identify food deserts, food swamps, as well as healthy areas as defined through the Modified Retail Food Environment Index. We test different machine learning approaches to then predict these healthfulness scores using census variables from the synthetic population in their respective census tract, achieving accuracy scores of around 0.53 to 0.60. This demonstrates that census data has some limited predictive power in explaining the healthiness of the local food environment, which could be especially relevant for situations in which no information on the retailers is available to local policy makers. Future work can extend this approach to also include further data describing the population, stemming from the integrated cohorts and survey data, which could improve the prediction accuracy or help in identifying areas of concern.
 Conclusions & ImplicationsThe presented SynthEco platform views individuals as agents nested within modular systems of systems, trying to capture both internal systems and processes as well as environmental ones within which individuals are operating. The platform thus enables the application of computational systems modelling for the analysis of individual human behaviour in contexts. As demonstrated through the example of using SynthEco in the context of healthier food environments, the approach is especially relevant to practitioners and policy makers interested in local intervention strategies and identifying areas for targeted policy related to different dimensions of health and wellbeing.

The Effect of Retail Food Environment Interventions on Dietary Behavior in Postsecondary Education Settings: A Systematic Review and Meta-analysis

BackgroundPostsecondary education institutions, where hundreds of millions of people work and study globally, are a key setting for retail food environment interventions. ObjectiveWe aimed to synthesize the evidence for the effectiveness of retail food environment interventions in improving the healthiness of dietary behavior of students and staff in postsecondary education settings. MethodsAcademic databases were searched for randomized controlled trials (RCTs) and quasi-experimental studies published until August 2023. Studies were eligible if they assessed the impact of a retail food environment intervention on healthiness of dietary behavior (purchases or consumption) in students or staff in postsecondary education settings and targeted one of the following food environment elements: placement, price, product, or promotion. Business-related outcomes (total sales, profit, or revenue) were included as secondary outcomes. Findings were synthesized in narrative form, organized by retail food environment element. Where comparable dietary outcome data were available from ≥10 interventions, findings were pooled using random effects meta-analysis. ResultsOf 10,126 studies initially identified, 55 (76% quasi-experimental) were included, describing 71 separate interventions (n = 49 single-element and n = 22 multi-element). Two-thirds (n = 47, 66%) of interventions (n = 32 single-element and n = 15 multi-element) demonstrated significant improvements in dietary behavior. Single-element interventions targeting placement (n = 1) and price (n = 3) improved dietary behavior. Most (n = 9/10, 90%) interventions targeting product availability or convenience (product element) improved dietary behavior, while n = 19/35 (54%) targeting promotion did. Pooled findings from 12 interventions reporting changes in energy content demonstrated a significant decrease in purchased or consumed energy (-7.9%; 95% confidence interval: -10.3%, -5.6%). Almost all interventions (n = 11/12, 92%) that evaluated the impact on business-related outcomes found either a significant increase or no change following the intervention. ConclusionsWe established encouraging evidence supporting the role of retail food environment interventions in postsecondary education settings to support healthy dietary behaviors of students and staff. RegistryPROSPERO (International Prospective Register of Systematic Reviews, URL: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=295836; registration number CRD42022295836).

Habitual behavior of household food expenditure by store type in the United States.

We examine how socio-demographic factors, spending habits, and characteristics of the retail food environment affect household expenditure across all food and beverage categories by store outlet in the United States. The six outlets considered are grocery stores, convenience stores, discount stores, club stores, drug stores, and dollar stores. The source of data for this analysis is the Nielsen Homescan Panel over the period between 2011 and 2015. We employ a dynamic correlated random effect Tobit model to incorporate habitual purchasing behavior as well as a novel method to deal with zero observations using the inverse hyperbolic sine transformation. The results suggest that habitual spending behavior undoubtedly is a key factor in affecting food and beverage expenditures across all store outlets. Additionally, household size, age, urbanization, education, race, ethnicity, and region are drivers of household food and beverage expenditures across the six store outlets.

The workplace as a therapeutic landscape: Understanding the effects of COVID-19 on the wellbeing of food hospitality employees

This study investigated the pandemic-related modifications to food hospitality businesses in Ontario, Canada and their effects on the health and wellbeing of workers. Semi-structured interviews were conducted with 22 food hospitality employees in Ontario between June 2020 and May 2021 as part of the Food Retail Environment Study for Health and Economic Resiliency (FRESHER). Transcripts were analyzed inductively using grounded theory as a means of allowing themes to be distilled organically from this relatively new area of research. Therapeutic landscapes emerged as a framework for the resultant themes. The three main themes in this analysis are compromised based on the physical, social, and symbolic spaces of a therapeutic landscape: physical aspects of food hospitality businesses as influencers of wellbeing, social relationships as sources of support and stress, and symbols of fear and safety within food hospitality workplaces. Results indicate that, for food hospitality employees, the workplace was an imperfect therapeutic landscape with a mix of benefits and threats to wellbeing. Further study is needed to understand how these spaces might be reconstructed to better promote wellbeing.

Spatial Patterns and Health-Based Characterization of the Retail Food Environment in Mexico City

The public health burden of obesity and non-communicable diseases in Mexico is one of the highest in the world, and one of its main causes is the change in diet of the population. The urban food environment has been suggested as a key contributor towards the increasing deterioration in diets. Our objective was to present the first spatial and health characterization of the food environment of Mexico City. The data source was the National Statistics Directory of Economic Units 2020, which provides data on the urban supply of food and beverages. Food outlets were classified into 14 types according to the food items that are mainly sold. Local spatial autocorrelation methods were used to assess the existence of spatial patterns. The results suggest all types of food outlet showed high- density clusters and low -density clusters, with the geographic location of these clusters varying based on the type of establishment and by socioeconomic status of the census tracts. This paper puts forward a health-based classification of food retail outlets, to identify the spatial distribution of food outlets in relation to nutrition and health. This could guide researchers and policymakers towards improvements, particularly to direct interventions towards specific areas of the city.

Food insecurity in people living with obesity: Improving sustainable and healthier food choices in the retail food environment-the FIO Food project.

At both UK and global level, dietary consumption patterns need to change to address environmental, health and inequality challenges. Despite considerable policy interventions, the prevalence of overweight and obesity in the United Kingdom has continued to rise with obesity now a leading cause of mortality and morbidity. Obesity prevalence is greater among those on lower incomes and the current UK food system, including government policy, does not effectively address this. Current behavioural approaches, without the support of structural changes in the system, may even widen the inequalities gap. Hence, using behavioural insights from those living with obesity and food insecurity, the project will explore potential avenues that can be applied in the food system to promote healthier choices in the food retail environment. The National Food Strategy report recommends that the UK food system should ensure "safe, healthy, affordable food; regardless of where people live or how much they earn". However, the association between food insecurity and the development of obesity is not well understood in relation to purchasing behaviours in the UK retail food environment, nor is the potential effectiveness of interventions that seek to prevent and reduce the impact of diet-induced health harms. The FIO Food (Food insecurity in people living with obesity - improving sustainable and healthier food choices in the retail food environment) project provides a novel and multi-disciplinary collaborative approach with co-development at the heart to address these challenges. Using four interlinked work packages, the FIO Food project will combine our knowledge of large-scale population data with an understanding of lived experiences of food shopping for people living with obesity and food insecurity, to develop solutions to support more sustainable and healthier food choices in the UK retail food environment.

Hospital-Based Food Environment Interventions to Improve Workforce Dietary Behaviour: A Systematic Literature Review

The aim of this study was to determine the effectiveness of hospital-based interventions in improving eating patterns and food purchasing behaviours of hospital staff. Four electronic databases were searched from inception to November 2021 for intervention studies conducted within hospital retail food environments. Studies assessing outcomes pertaining to changes in eating patterns and/or food purchasing behaviour were included. Intervention effectiveness was defined as a statistically significant change in primary outcomes. Study quality was assessed independently by two researchers using the Mixed-Methods Appraisal Tool. In total, 20 studies were included in the review. 10 studies were moderate to low quality and almost half of the included studies (n = 9) utilised a quantitative descriptive design. Intervention modes included signage and health labels (n = 17), price modifications (n = 9), recipe modifications (n = 7), choice architecture (n = 5), altering healthy food availability (n = 5) and cooking processes (n = 1). Most studies (n = 15) contained more than one intervention type within their intervention design. Significant improvements in all primary outcomes were identified within eight studies, in which all had included a point-of-purchase prompt. Multicomponent interventions that incorporate point-of-purchase prompts may be useful in improving eating patterns and/or food purchasing behaviour of hospital staff. Further rigorous research identifying the long-term effectiveness of these interventions on improving health outcomes is warranted.

Food price and availability in Solomon Islands during COVID-19: A food environment survey.

Background: In Solomon Islands, the retail food environment is an important food source, for instance, the dominant source of fresh fruit and vegetables for urban consumers is open markets. The effects of COVID-19 mitigation measures (such as restriction of human movement and border closures) in early 2020 placed food security at risk in many parts of the community. Of particular concern was the risk of price gouging in an already price-sensitive market. Aims: The study aimed to provide rapid and policy-relevant information on the pricing of foods in the urban food environment in Solomon Islands in the context of the unfolding COVID-19 pandemic. Methods: A vendor survey was conducted in July to August 2020 and repeated in July 2021 using a survey tool that collected information on type, quantity, and price of food on offer. Findings: We found price reductions among the majority of fresh fruit and non-starchy vegetables available. A trend of rising prices was reported for some other commodities, such as fresh locally caught fish. Conclusion: Our findings highlight the impact of 'schocks to the system' on food prices as a potential barrier or enabler to consumption of fresh foods purchased from urban areas - an important finding in a price sensitive market. The survey design was successful in collecting pricing data from the retail food environment during a time of external 'shock to the system'. Our approach is applicable to other settings needing a rapid survey of the external food environment.

Impact of Food Environments on Obesity Rates: A State-Level Analysis.

Limited access to healthy food in areas that are predominantly food deserts or food swamps may be associated with obesity. Other unhealthy behaviors may also be associated with obesity and poor food environments. We calculated Modified Retail Food Environment Index (mRFEI) to assess food retailers. Using data collected from the Behavioral Risk Factor Surveillance System (BRFSS) survey, the NJ Department of Health (NJDOH), and the US Census Bureau, we conducted a cross-sectional analysis of the interaction of obesity with the food environment and assessed smoking, leisure-time physical activity (LPA), and poor sleep. There were 17.9% food deserts and 9.3% food swamps in NJ. There was a statistically significant negative correlation between mRFEI and obesity rate (Pearson's r -0.13, p < 0.001), suggesting that lack of access to healthy food is associated with obesity. Regression analysis was significantly and independently associated with increased obesity prevalence (adjusted R square 0.74 and p=0.008). Obesity correlated positively with unhealthy behaviors. Each unhealthy behavior was negatively correlated with mRFEI. The mean prevalence for smoking, LPA, and sleep <7 hours was 15.4 (12.5-18.6), 26.5 (22.5-32.3), and 37.3 (34.9-40.4), respectively. Obesity tracks with food deserts and especially food swamps. It is also correlated with other unhealthy behaviors (smoking, LPA, and poor sleep).

A longitudinal assessment of racial and ethnic inequities in food environment exposure and retail market concentration.

This paper assesses trends in food environment and market concentration and racial and ethnic inequities in food environment exposure and food retail market concentration at the US census tract level from 2000 to 2019. Establishment-level data from the National Establishment Time Series were used to measure food environment exposure and food retail market concentration. We linked that dataset to race, ethnicity and social vulnerability information from the American Community Survey and the Agency for Toxic Substances and Disease Registry. A geospatial hot-spot analysis was conducted to identify relatively low and high healthy food access clusters based on the modified Retail Food Environment Index (mRFEI). The associations were assessed using two-way fixed effects regression models. Census tracts spanning all US states. 69 904 US census tracts. The geospatial analysis revealed clear patterns of areas with high and low mRFEI values. Our empirical findings point to disparities in food environment exposure and market concentration by race. The analysis shows that Asian Americans are likelier to live in neighbourhoods with a low food environment exposure and low retail market concentration. These adverse effects are more pronounced in metro areas. The robustness analysis for the social vulnerability index confirms these results. US food policies must address disparities in neighbourhood food environments and foster a healthy, profitable, equitable and sustainable food system. Our findings may inform equity-oriented neighbourhood, land use and food systems planning. Identifying priority areas for investment and policy interventions is essential for equity-oriented neighbourhood planning.

Developing Co-Creation Research in Food Retail Environments: A Descriptive Case Study of a Healthy Supermarket Initiative in Regional Victoria, Australia.

Research into the co-creation of healthy food retail is in its early stages. One way to advance co-creation research is to explore and understand how co-creation was applied in developing, implementing, and evaluating a heath-enabling initiative in a supermarket in regional Victoria, Australia. A case study design was used to explore and understand how co-creation was applied in the Eat Well, Feel Good Ballarat project. Six documents and reports related to the Eat Well, Feel Good Ballarat project were analyzed with findings from the focus groups and interviews. Motivations to develop or implement health-enabling supermarket initiatives differed among the participants. Participants considered that initial negotiations were insufficient to keep the momentum going and to propose the value to the retailers to scale up the project. Presenting community-identified needs to the supermarket helped gain the retailer's attention, whilst the co-design process helped the implementation. Showcasing the project to the community through media exposure kept the supermarket interested. Retailers' time constraints and staff turnover were considered significant barriers to partnership building. This case study contributes insights into applying co-creation to health-enabling strategies in food retail outlets using two co-creation frameworks.

Adult food choices in association with the local retail food environment and food access in resource-poor communities: a scoping review

BackgroundThere is a growing body of research on local retail food environments globally in both urban and rural settings. Despite this, little research has been conducted on adult food choices, local retail environments, and healthy food access in resource-poor communities. The purpose of this study is therefore to provide an overview of the evidence on adult food choices (measured as dietary intake) in association with the local retail food environment and food access in resource-poor communities (defined as low-income communities and/or households).MethodsWe searched nine databases for studies published from July 2005 to March 2022 and identified 2426 records in the primary and updated search. Observational studies, empirical and theoretical studies, focused on adults ≤ 65 years, published in English peer-reviewed journals, examining local retail food environments and food access, were included. Two independent reviewers screened identified articles using the selection criteria and data extraction form. Study characteristics and findings were summarized for all studies and relevant themes summarized for qualitative and mixed methods studies.ResultsA total of 47 studies were included in this review. Most studies were cross sectional (93.6%) and conducted in the United States of America (70%). Nineteen (40.4%) studies assessed the association between food choice outcomes and local retail food environment exposures, and evidence on these associations are inconclusive. Associations of certain food choice outcomes with healthy food retail environments were positive for healthy foods (in 11 studies) and unhealthy foods (in 3 studies). Associations of certain food choice outcomes with unhealthy retail food environment exposures were positive for unhealthy foods in 1 study and negative for healthy foods in 3 studies. In 9 studies, some of the food choice outcomes were not associated with retail food environment exposures. A healthy food store type and lower food prices were found to be major facilitators for healthy food access in resource-poor communities, while cost and transportation were the main barriers.ConclusionsMore research is needed on the local retail food environment in communities in low- and middle-income countries to develop better interventions to improve food choices and access to healthy foods in resource-poor communities.

CO-Creation and Evaluation of Food Environments to Advance Community Health (COACH)

Food environments are a key determinant of food intake and diet-related health. This paper describes the development of an iterative, adaptive, context-specific framework for health-enabling food environments embedded in cocreation theory. A 3-stage multimethod framework for the coproduction and prototyping of public health interventions was followed in an iterative manner during the development of the framework. These 3 stages were (1) evidence review, including systematic review, consultation with experts, and observation of current work; (2) codesign of the framework prototype with multiple stakeholders; and (3) coproduction through refinement of the prototype through stakeholder workshops and expert reviews with incorporation of researcher notes and workshop evaluation. We use the term prototype during the development phase and the term framework to report on the final product. COACH (CO-creation and evaluation of food environments to Advance Community Health) is a process framework that describes what best practice application of cocreation in health-enabling food retail environments should involve. COACH consists of 10 interdependent factors within a 4-phase continuous quality improvement cycle. The 4 phases of the cycle are engagement and governance establishment, communication and policy alignment, codesign and implementation, and monitoring and evaluation. Utilizing cocreation theory represents an innovative step in research and practice to improve the healthiness of food retail environments. COACH provides a specific, unique, and comprehensive guide to the utilization of cocreation to improve the healthiness of food environments in practice.

Co-creation of health-enabling initiatives in food retail: academic perspectives

IntroductionCo-creation of healthy food retail comprises the systematic collaboration between retailers, academics and other stakeholders to improve the healthiness of food retail environments. Research into the co-creation of healthy food retail is in its early stages. Knowledge of the roles and motivations of stakeholders in intervention design, implementation and evaluation can inform successful co-creation initiatives. This study presents academic experiences of stakeholder roles and motivations in the co-creation of healthy food retail environments.MethodsPurposive sampling of academics with research experience in the co-creation of healthy food retail initiatives. Semi-structured interviews conducted between October and December 2021 gathered participants’ experiences of multi-stakeholder collaborative research. Thematic analysis identified enablers, barriers, motivations, lessons and considerations for future co-creation of healthy food retail.ResultsNine interviewees provided diverse views and applications of co-creation research in food retail environments. Ten themes were grouped into three overarching areas: (i) identification of stakeholders required for changes to healthier food retail; (ii) motivations and interactions, which included the intrinsic desire to build healthier communities along with recognition of their work; and (iii) barriers and enablers included adequate resourcing, effective and trusting working relationships and open communications.ConclusionThis study provides insights that could help future co-creation in healthy food retail environments. Trusting and respectful relationships and reciprocal acknowledgement between stakeholders are key practices in the co-creation process. These constructs should be considered in developing and testing a model that helps to systematically co-create healthy food retail initiatives that ensure all parties meet their needs while also delivering research outcomes.

Trends in food and beverage purchases in informal, mixed, and formal food outlets in Mexico: ENIGH 1994-2020.

The retail food environment in Mexico is characterized by the co-existence of both, formal and informal food outlets. Yet, the contribution of these outlets to food purchases over time has not been documented. Understanding the longitudinal trends where Mexican households purchase their foods is critical for the development of future food retail policies. We used data from Mexico's National Income and Expenditure Survey from 1994 to 2020. We categorized food outlets as formal (supermarkets, chain convenience stores, restaurants), informal (street markets, street vendors, acquaintances), and mixed (fiscally regulated or not. i.e., small neighborhood stores, specialty stores, public markets). We calculated the proportion of food and beverage purchases by food outlet for each survey for the overall sample and stratified by education level and urbanicity. In 1994, the highest proportion of food purchases was from mixed outlets, represented by specialty and small neighborhood stores (53.7%), and public markets (15.9%), followed by informal outlets (street vendors and street markets) with 12.3%, and formal outlets from which supermarkets accounted for 9.6%. Over time, specialty and small neighborhood stores increased 4.7 percentage points (p.p.), while public markets decreased 7.5 p.p. Street vendors and street markets decreased 1.6 p.p., and increased 0.5 p.p. for supermarkets. Convenience stores contributed 0.5% at baseline and increased to 1.3% by 2020. Purchases at specialty stores mostly increased in higher socioeconomic levels (13.2 p.p.) and metropolitan cities (8.7 p.p.) while public markets decreased the most in rural households and lower socioeconomic levels (6.0 p.p. & 5.3 p.p.). Supermarkets and chain convenience stores increased the most in rural localities and small cities. In conclusion, we observed an increase in food purchases from the formal sector, nonetheless, the mixed sector remains the predominant food source in Mexico, especially small-neighborhood stores. This is concerning, since these outlets are mostly supplied by food industries. Further, the decrease in purchases from public markets could imply a reduction in the consumption of fresh produce. In order to develop retail food environment policies in Mexico, the historical and predominant role of the mixed sector in food purchases needs to be acknowledged.

The Impact of Fast-Food Density on Obesity during the COVID-19 Lockdown in the UK: A Multi-Timepoint Study on British Cohort Data

Poor food environments are considered to trigger obesity and related health complications by restricting the local food options to predominantly low quality, energy-dense foods. This study investigated the impact of the food environment on obesity with a focus on any changes that might have occurred around the COVID lockdown period in the UK when majority of the population relied on food delivery and the local food environments. The proportion of fast-food retailers in the area and the Retail Food Environment Index (RFEI) were calculated for participants of the 1970 British Cohort Study (BCS70) at three timepoints: pre-COVID (2016), the first UK nation-wide lockdown (April–May 2020) and post lockdown (September–October 2020). The association of the food environment and the odds of obesity was estimated through multivariable logistic regression, with adjustments being made for selected socioeconomic variables. A model using the fast-food proportion as the sole predictor estimated that higher fast-food proportion increased the odds of obesity by 2.41 in 2016, 2.89 during the lockdown and 1.34 post lockdown, compared with 1.87, 2.23, and 0.73, respectively, for the same three periods with adjustments being made for select socioeconomic variables. On the other hand, RFEI increased the odds of obesity only slightly at 1.01, 1.02 and 1.03, respectively, with the model with adjustments yielding respective similar values. The fast-food proportion model indicates that proximity to a poor food environment is linked to obesity, especially during the COVID lockdown period, but the impact of a poor-food environment is limited if the RFEI is used as its indicator. The findings will add much needed insights on the UK data and will inform public health planning and policy.

777 Food Swamps, Food Deserts, and Wound Healing in Burn Patients at an Urban Academic Center

Abstract Introduction Many victims of burn injury live in food deserts or food swamps. Food deserts are low-income areas with minimal or no access to nutritious foods while food swamps are areas with much greater access to unhealthy, high-calorie foods. We examined the relationship between residency in a food swamp or food desert by census tract and wound healing. Methods We performed a retrospective review of burn patients who underwent split-thickness skin grafting at an ABA verified urban academic burn center between September 2018 and August 2022. Inclusion criteria were burn area less than 20% total body surface area (TBSA), age ≥ 18, and single operation for split-thickness skin grafting. Patient residential locations were used in conjunction with Modified Retail Food Environment Index (mREFI) data to classify residency in food deserts and food swamps. The primary outcome was time to donor site healing. Time-to-event Cox proportional regression analysis was performed to evaluate risk factors for poor wound healing. Results A total of 238 patients were included in the study, of whom 110 (46.2%) were female and 128 (53.8%) were male. Mean age was 48, BMI was 28.5, TBSA 3.7, and average days to donor site healing was 26. In categorizing residency by mREFI data, 45 (18.9%) individuals had good access, 11 (4.6%) resided in food deserts, and 182 (76.5%) resided in food swamps. Although time to healing was longer on average in the food desert (25.8 days) and food swamp (26.4 days) groups compared to the group with good access to food within ½ mile (22.9 days), this difference was not statistically significant. Not having diabetes was found to be associated with shorter time to wound healing (HR=1.68, 95% CI [1.15, 2.47], p=0.007). Living in a good access area was associated with faster wound healing (compared to swamp: HR=1.23, 95% CI [0.86, 1.75], compare to desert: HR=1.06, 95% CI [0.51, 2.20]), however this association was not statistically significant. Conclusions Residency in a food swamp or food desert does not significantly influence time to healing in burn injured patients. However, not having diabetes was associated with a shorter time to wound healing. This is the first study to compare residency in food deserts or food swamps by census tract level data with time to wound healing in an urban burn population. Applicability of Research to Practice Wound healing is a complex and important process known to be affected by malnutrition. Our data contributes to the current body of literature on nutrition and wound healing.

778 Epidemiology of Food Access in an Urban Burn Population

Abstract Introduction Poverty is a known risk factor for burn injury and is associated with residency in food deserts and food swamps. Food deserts are areas with low or no access to nutritious, healthy foods while food swamps are areas with much higher access to high-calorie, unhealthy foods than to foods with good nutritious value. The purpose of our investigation was to determine the prevalence of residency in food deserts and food swamps in burn patients evaluated at an urban academic center and to determine the relationship between residency in these areas and the presence of patient comorbidities. Methods We performed a retrospective chart review of patients with burn injuries seen at an ABA verified urban academic center between January 2016 and January 2022. All patients over age 18 seen in the emergency department or admitted to the burn service were included in the study. Patient residential locations were used in conjunction with the Modified Retail Food Environment Index (mREFI) data to classify residency in food deserts and food swamps. Patient demographics and comorbidities were also recorded. Chi square and ANOVA analyses were completed to determine differences between the food desert, food swamp, and good access groups. Results A total of 3064 subjects were included in the study, of these 1370 (44.7%) were female and 1694 (55.3%) were male. In terms of access, 96 (3.1%) individuals lived in food deserts, 477 (15.6%) lived in good access areas, and 2490 (81.3%) resided in food swamps. This difference was found to be statistically significant (p &amp;lt; 0.0001). Age, sex, and BMI did not differ significantly between the three groups. A significantly higher percentage of food swamp residents had a diagnosis of diabetes (15.0%) as compared to subjects living in good food access areas (11.7%) and food deserts (8.3%), (p &amp;lt; 0.043). Hypertension was also found to be more prevalent in food swamps (24.8%) than food deserts (20.8%) and good access areas (19.3%), (p &amp;lt; 0.028). Finally, smoking was more common in food swamps (45.3%) than good access areas (40.4%) and food deserts (27.9%), (p &amp;lt; 0.0028). Conclusions A majority of burn patients reside in food swamps and residency in these areas is associated with a higher prevalence of hypertension, diabetes, and tobacco smoking. This is the first study to investigate the epidemiology of food access in an urban burn population. Applicability of Research to Practice Nutrition is known to be important to overall health and to wound healing in the setting of an acute injury. Our data contributes to the current literature on the role of nutrition in burns.

A healthier retail food environment around the home is associated with longer duration of weight-loss maintenance among successful weight-loss maintainers

Few studies have examined associations between the retail food environment and weight maintenance. This study examined the residential Retail Food Environment Index (RFEI) of weight loss maintainers and associations with weight maintenance duration, perceived effort and difficulty managing weight, and coping and monitoring strategies.Participants were 6947 members of the WW Success Registry (enrolled January 2018–February 2020), a nationwide (United States) convenience sample of individuals who lost weight using Weight Watchers (WW) and maintained a ≥ 9.1 kg weight loss for ≥1 year (Mean 24.7 kg loss for 3.4 years). Home addresses were geo-coded and the RFEI (ratio of unhealthy [fast-food and convenience stores] to healthy [supermarkets, grocery stores, and fruit/vegetable vendors] outlets) was used to classify the healthfulness of the food environments. Validated questionnaires measured psychological coping and self-monitoring.Compared to individuals living in the healthiest food environments (RFEI<1.6), those in the least healthy food environments (RFEI ≥4.0) maintained weight loss for 0.5 years less (3.2 vs 3.7 years; 95% CI between-group difference = 0.20, 0.80), reported statistically higher scores but not clinically relevant differences on perceived effort (4.6 vs. 4.5; 95% between-group difference = 0.01, 0.21) and difficulty managing their weight (3.1 vs. 3.0; 95% CI between-group difference = 0.01, 0.17) and practice of self-monitoring (2.7 vs. 2.6; 95% CI between-group difference = 0.01, 0.14). No differences in psychological coping were observed.Weight loss maintainers living in the least healthy retail food environments maintained weight loss for a shorter duration compared to those in the healthiest food environments.