Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models.

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Association of county-level food deserts and food swamps on postoperative outcomes among patients undergoing colorectal surgery.

BACKGROUND: Although malnutrition has been linked to worse healthcare outcomes, the broader context of food environments has not been examined relative to surgical outcomes. We sought to define the impact of food environment on postoperative outcomes of patients undergoing resection for colorectal cancer (CRC). METHODS: Patients who underwent surgery for CRC between 2014 and 2020 were identified from the Medicare database. Patient-level data were linked to the United States Department of Agriculture data on food environment. Multivariable regression was used to examine the association between food environment and the likelihood of achieving a textbook outcome (TO). TO was defined as the absence of an extended length of stay (≥75th percentile), postoperative complications, readmission, and mortality within 90 days. RESULTS: A total of 260,813 patients from 3017 counties were included in the study. Patients from unhealthy food environments were more likely to be Black, have a higher Charlson Comorbidity Index, and reside in areas with higher social vulnerability (all P < .01). Patients residing in unhealthy food environments were less likely to achieve a TO than that of patients residing in the healthiest food environments (food swamp: 48.8% vs 52.4%; food desert: 47.9% vs 53.7%; P < .05). On multivariable analysis, individuals residing in the unhealthy food environments had lower odds of achieving a TO than those of patients living in the healthiest food environments (food swamp: OR, 0.86; 95% CI, 0.83-0.90; food desert: OR, 0.79; 95% CI, 0.76-0.82); P < .05). CONCLUSION: The surrounding food environment of patients may serve as a modifiable sociodemographic risk factor that contributes to disparities in postoperative CRC outcomes.

Promoting healthful food purchases through in-store interventions: Empirical evidence from rural food deserts.

Effective ways to promote healthful food intake in rural areas are understudied. The paper evaluated whether a two-component, in-store intervention designed to encourage healthy food purchases was associated with improved healthfulness scores of food items purchased by shoppers in rural food deserts. One component introduced a point-of-sales label that assigned a single numerical score to each food item facilitating direct comparisons of the product's nutrition with those of other products shelved around it. The other component was a one-day nutrition education workshop promoted within the store. Interventions took place in 2015 at two stores in rural counties in the U.S. Midwest. Four stores in similar communities were selected as the control group. We applied a difference-in-difference model to estimate changes in the healthfulness of food items purchased attributable to the intervention among shoppers at the treatment stores (n = 486) and control stores (n = 10,759) using store transaction data. Healthfulness of food items was measured in terms of food scores published by the Environmental Working Group on a 1-10 scale. Both components had minimal impacts on the scores, although 0.2 and 0.1 points increases in the score per item and score per dollar were statistically significant at the 1% level respectively. A year after the intervention, these small effects of the intervention further diminished compared to the immediately after implementation. Results suggest the average effects of intervention across the study communities had limited practical significance but benefited some rural residents who were exposed to the intervention.

Social inequities in food deserts and food swamps in a northeastern Brazilian capital.

This study identified food deserts and swamps, investigating their associations with socioeconomic and demographic conditions. This ecological study was conducted using data from urban census tracts in the city of Recife, which were considered the unit of analysis. Information on food retail was obtained from government sources in 2019. Census tracts below the 25th percentile in the density of healthy food retail (i.e., those that predominantly sell natural or minimally processed foods, mixed businesses, and super- and hypermarkets) were classified as food deserts. Census tracts above the 25th percentile in the density of unhealthy food retail (i.e., those selling primarily ultra-processed foods) were considered food swamps. The socioeconomic and demographic conditions of the census tracts were evaluated using variables from the 2010 census (per capita income, average income, race, literacy of the head of household, and the availability of essential services) and the Health Vulnerability Index. Census tracts considered food deserts (28.5%) were more vulnerable, characterized by lower income and access to essential services, more illiterate residents and more minorities (Black/Indigenous/mixed race). Food swamps (73.47%) were more prevalent in less vulnerable neighbourhoods characterized by higher percentages of literate residents and Whites, greater purchasing power, and better basic sanitation. The characteristics of Recife's food deserts and swamps demonstrate social inequalities in the food environment. Public facilities could play a vital role in promoting healthy eating within food deserts. Additionally, future implementation of taxes on ultra-processed foods and the provision of tax subsidies to natural or minimally processed food sellers might contribute to fostering healthier dietary choices.

Food Desert Residence Is Not Associated With Dietary Adherence or Complication Rates in Patients With Isolated Mandibular Fractures.

BACKGROUND: Mandible fracture management requires postoperative dietary modifications to promote healing. Over 20 million Americans live in food deserts, low-income neighborhoods over one mile from a grocery store. The relationship between food desert residence (FDR) and adherence to postoperative dietary instructions remains unexplored. PURPOSE: This study's purpose is to evaluate the relationships between FDR, known risk factors, dietary adherence, and complications among patients with isolated mandible fractures. STUDY DESIGN, SETTING, SAMPLE: This retrospective cohort study was conducted at a level 1 trauma center and analyzed patients with mandible fractures between January 2015 and December 2020. Inclusion criteria included operative treatment of adult patients for mandible fractures; pregnant, incarcerated, and patients with incomplete data were excluded. PREDICTOR VARIABLE: FDR was the predictor variable of interest. FDR (coded yes or no) was generated by converting patient addresses to census tract GeoIDs and comparing them to the US Department of Agriculture Food Access Research Atlas. MAIN OUTCOME VARIABLES: The study examined two outcome variables: dietary adherence and postoperative complications. Dietary adherence was coded as adherent or nonadherent, indicating documented compliance with postoperative dietary modifications. Postoperative complications were coded as present or absent, reflecting infection, hardware failure, and mandible malunion or nonunion. COVARIATES: The covariates analyzed included age, sex, ethnicity, mechanism of injury, medical and psychiatric comorbidities (including diagnoses such as diabetes, hypertension, and schizophrenia), and tobacco use. ANALYSES: Relative risks (RRs) and multivariate logistic regression models were generated for both outcome variables. Two-tailed P values < 0.05 were considered statistically significant. RESULTS: During the study period, 143 patients had complete data allowing for FDR and dietary adherence determination, 124 of whom (86.7%) had complication data recorded. Of the cohort, 51/143 (35.7%) resided within a food desert, 30/143 (21.0%) exhibited dietary nonadherence, and 46/124 (37.1%) experienced complications. FDR was not associated with increased risk of dietary nonadherence (RR 0.92, 95% confidence interval [CI] 0.52 to 1.61, P = .76) or complications (RR 1.19, 95% CI 0.75 to 1.89; P = .46). On multivariate regression, dietary nonadherence was associated with increased complications (odds ratio 2.85, 95% CI 1.01 to 8.09, P = .049). CONCLUSION AND RELEVANCE: There was no association between FDR and dietary nonadherence or complications in mandible fracture patients. However, dietary nonadherence was associated with complications, highlighting the need for further research and intervention.

Food deserts and dental care utilization in the United States.

OBJECTIVES: Although food deserts are known to impact health and healthcare utilization, no research has investigated the relationship between food deserts and dental care utilization. This study aimed to fill this gap by assessing the relationship between living in a food desert and self-reported dental care utilization in the past year. METHODS: Data are from the National Longitudinal Study of Adolescent to Adult Health (N = 10,495). The association between food deserts and dental care utilization was assessed using covariate-adjusted multiple logistic regression. RESULTS: Living in a food desert was associated with higher odds of not utilizing dental care in the past year. This association was concentrated among high-poverty areas (≥20% poverty rate). CONCLUSIONS: The current study is the first to assess the relationship between living in a food desert and dental care utilization. The findings demonstrate that individuals living in low-income urban food deserts may be at increased risk for not utilizing dental care.

Association of County-Level Food Deserts and Food Swamps with Hepatopancreatobiliary Cancer Outcomes.

BACKGROUND: Malnutrition has been linked to the development of hepatopancreatobiliary (HPB) cancer. We sought to examine the association between food swamps and food deserts on surgical outcomes of patients with HPB cancer. METHODS: Patients who underwent surgery for HPB cancer between 2014 and 2020 were identified from the Medicare Standard Analytic Files. Patient-level data were linked to the United States Department of Agriculture data on food swamps and deserts. Multivariable regression was performed to examine the association between the food environment and outcomes. RESULTS: Among 53,426 patients, patients from the worse food environment were more likely to be Black, have a higher Charlson Comorbidity Index, and reside in areas with high social vulnerability. Following surgery, the overall incidence of textbook outcome (TO) was 41.6% (n = 22,220). Patients residing in the worse food environments less often achieved a TO versus individuals residing in the healthiest food environments (food swamp: 39.4% vs. 43.9%; food desert: 38.5% vs 42.2%; p < 0.05). On multivariable analysis, individuals residing in the poorest food environments were associated with lower odds of achieving TO compared with individuals living in healthiest food environments (food swamp: OR 0.83, 95%CI 0.75-0.92, food desert: OR 0.86, 95%CI 0.76-0.97; both p < 0.05). CONCLUSION: The surrounding food environment of patients may serve as a modifiable socio-demographic risk factor that contributes to disparities in surgical outcomes of HPB cancer.

Food desert residence has limited impact on veteran fecal microbiome composition: a U.S. Veteran Microbiome Project study.

IMPORTANCE: Social and economic inequities can have a profound impact on human health. The inequities could result in alterations to the gut microbiome, an important factor that may have profound abilities to alter health outcomes. Moreover, the strong correlations between social and economic inequities have been long understood. However, to date, limited research regarding the microbiome and mental health within the context of socioeconomic inequities exists. One particular inequity that may influence both mental health and the gut microbiome is living in a food desert. Persons living in food deserts may lack access to sufficient and/or nutritious food and often experience other inequities, such as increased exposure to air pollution and poor access to healthcare. Together, these factors may confer a unique risk for microbial perturbation. Indeed, external factors beyond a food desert might compound over time to have a lasting effect on an individual's gut microbiome. Therefore, adoption of a life-course approach is expected to increase the ecological validity of research related to social inequities, the gut microbiome, and physical and mental health.

Changes of Grocery Shopping Frequencies and Associations with Food Deserts during the COVID-19 Pandemic in the United States.

The COVID-19 pandemic has dramatically altered people's lives in multiple aspects, including grocery shopping behaviors. Yet, the changing trend of grocery shopping frequencies during the COVID-19 and its associations with food deserts remain unclear. We aimed to (1) examine variations of grocery shopping frequencies at county level in the USA during the COVID-19 pandemic from March 2020 to December 2021; (2) investigate associations between grocery shopping frequencies and food deserts during the COVID-19 pandemic; and (3) explore heterogeneity in grocery shopping frequencies-food desert associations across urban and rural areas. The county-level grocery shopping frequencies were derived from a grocery pattern dataset obtained from SafeGraph. We divided the 22-month period into 5 stages and employed the growth curve modeling to estimate the trajectories of grocery shopping frequencies and the associations between grocery shopping frequencies and food deserts in each stage, separately. Results revealed that grocery shopping frequencies experienced a "W-shaped" pattern from March 2020 to December 2021. Counties with the least percent of food deserts had slower decrease in grocery shopping frequencies at the initial stage and recovered more rapidly at later stages. Counties with the highest percent of food deserts were subject to deprivation amplification as a result of the pandemic. We also found differences existed in the grocery shopping frequencies-food desert associations between metropolitan counties and rural counties. Our findings suggest the impacts of COVID-19 on grocery shopping frequencies varied across different time periods, shedding light on designing different strategies to reduce the risk of contagion while shopping inside of grocery stores. Further, our findings highlight an urgent need to help people living in food deserts (especially in rural counties) to procure healthy foods safely during health emergencies like COVID-19 pandemic which disrupt mobility and social behaviors.

Combining crowd-sourcing, census data, and public review forums for real-time, high-resolution food desert estimation.

BACKGROUND: It has been hypothesized that low access to healthy and nutritious food increases health disparities. Low-accessibility areas, called food deserts, are particularly commonplace in lower-income neighborhoods. The metrics for measuring the food environment's health, called food desert indices, are primarily based on decadal census data, limiting their frequency and geographical resolution to that of the census. We aimed to create a food desert index with finer geographic resolution than census data and better responsiveness to environmental changes. MATERIALS AND METHODS: We augmented decadal census data with real-time data from platforms such as Yelp and Google Maps and crowd-sourced answers to questionnaires by the Amazon Mechanical Turks to create a real-time, context-aware, and geographically refined food desert index. Finally, we used this refined index in a concept application that suggests alternative routes with similar ETAs between a source and destination in the Atlanta metropolitan area as an intervention to expose a traveler to better food environments. RESULTS: We made 139,000 pull requests to Yelp, analyzing 15,000 unique food retailers in the metro Atlanta area. In addition, we performed 248,000 walking and driving route analyses on these retailers using Google Maps' API. As a result, we discovered that the metro Atlanta food environment creates a strong bias towards eating out rather than preparing a meal at home when access to vehicles is limited. Contrary to the food desert index that we started with, which changed values only at neighborhood boundaries, the food desert index that we built on top of it captured the changing exposure of a subject as they walked or drove through the city. This model was also sensitive to the changes in the environment that occurred after the census data was collected. CONCLUSIONS: Research on the environmental components of health disparities is flourishing. New machine learning models have the potential to augment various information sources and create fine-tuned models of the environment. This opens the way to better understanding the environment and its effects on health and suggesting better interventions.

Association of Living in a Food Desert and Poor Periconceptional Diet Quality in a Cohort of Nulliparous Pregnant Individuals.

BACKGROUND: A poor diet can result from adverse social determinants of health and increases the risk of adverse pregnancy outcomes. OBJECTIVE: We aimed to assess, using data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be prospective cohort, whether nulliparous pregnant individuals who lived in a food desert were more likely to experience poorer periconceptional diet quality compared with those who did not live in a food desert. METHODS: The exposure was living in a food desert based on a spatial overview of food access indicators by income and supermarket access per the Food Access Research Atlas. The outcome was periconceptional diet quality per the Healthy Eating Index (HEI)-2010, analyzed by quartile (Q) from the highest or best (Q4, reference) to the lowest or worst dietary quality (Q1); and secondarily, nonadherence (yes or no) to 12 key aspects of dietary quality. RESULTS: Among 7,956 assessed individuals, 24.9% lived in a food desert. The mean HEI-2010 score was 61.1 of 100 (SD: 12.5). Poorer periconceptional dietary quality was more common among those who lived in a food desert compared with those who did not live in a food desert (Q4: 19.8%, Q3: 23.6%, Q2: 26.5%, and Q1: 30.0% vs. Q4: 26.8%, Q3: 25.8%, Q2: 24.5%, and Q1: 22.9%; overall P < 0.001). Individuals living in a food desert were more likely to report a diet in lower quartiles of the HEI-2010 (i.e., poorer dietary quality) (aOR: 1.34 per quartile; 95% CI: 1.21, 1.49). They were more likely to be nonadherent to recommended standards for 5 adequacy components of the HEI-2010, including fruit, total vegetables, greens and beans, seafood and plant proteins, and fatty acids, and less likely to report excess intake of empty calories. CONCLUSIONS: Nulliparous pregnant individuals living in a food desert were more likely to experience poorer periconceptional diet quality compared with those who did not live in a food desert.

Violence Within Food Deserts: A Block-Group Examination of Food Access, Racial Composition, and Violent Crime.

While there is substantial public health literature that documents the negative impacts of living in "food deserts" (e.g., obesity and diabetes), little is known regarding whether living in a food desert is associated with increased criminal victimization. With the block group as the unit of analysis, the present study examines whether there is a relationship between food deserts and elevated crime counts, and whether this relationship varies by racial composition. Results from multiple count models suggest that living in a food desert is not associated with higher levels of violent or property crime. But multiplicative models interacting percent Black with food deserts revealed statistically significant associations with violent crime but not property crime. Alternatively, multiplicative models interacting percent White with food deserts revealed statistically significant associational reductions in violent crimes. Several policy and research implications are discussed.

Association of Food Deserts and Food Swamps With Obesity-Related Cancer Mortality in the US.

Importance: Obesity-related cancers account for 40% of all cancers in the US. Healthy food consumption is a modifiable factor shown to reduce obesity-related cancer mortality, but residing in areas with less access to grocery stores (food deserts) or higher access to fast food (food swamps) reduces healthy food access and has been understudied. Objective: To analyze the association of food deserts and food swamps with obesity-related cancer mortality in the US. Design, Setting, and Participants: This cross-sectional ecologic study used US Department of Agriculture Food Environment Atlas data from 2012, 2014, 2015, 2017, and 2020 and Centers for Disease Control and Prevention mortality data from 2010 to 2020. A total of 3038 US counties or county equivalents with complete information on food environment scores and obesity-related cancer mortality data were included. An age-adjusted, generalized, mixed-effects regression model was performed for the association of food desert and food swamp scores with obesity-related cancer mortality rates. Data were analyzed from September 9, 2022, to September 30, 2022. Exposures: Food swamp score was calculated as the ratio of fast-food and convenience stores to grocery stores and farmers markets. Higher food swamp and food desert scores (20.0 to ≥58.0) indicated counties with fewer healthy food resources. Main Outcomes and Measures: Obesity-related cancer (based on the International Agency for Research on Cancer evidence between obesity and 13 types of cancer) mortality rates were categorized as high (≥71.8 per 100 000 population) vs low (<71.8 per 100 000 population) per county. Results: A total of 3038 counties or county equivalents with high obesity-related cancer mortality rates had a higher percentage of non-Hispanic Black residents (3.26% [IQR, 0.47%-26.35%] vs 1.77% [IQR, 0.43%-8.48%]), higher percentage of persons older than 65 years (15.71% [IQR, 13.73%-18.00%] vs 15.40% [IQR, 12.82%-18.09%]), higher poverty rates (19.00% [IQR, 14.20%-23.70%] vs 14.40% [IQR, 11.00%-18.50%]), higher adult obesity rates (33.00% [IQR, 32.00%-35.00%] vs 32.10% [IQR, 29.30%-33.20%]), and higher adult diabetes rates (12.50% [IQR, 11.00%-14.20%] vs 10.70% [IQR, 9.30%-12.40%]) compared with counties or county equivalents with low obesity-related cancer mortality. There was a 77% increased odds of having high obesity-related cancer mortality rates among US counties or county equivalents with high food swamp scores (adjusted odds ratio, 1.77; 95% CI, 1.43-2.19). A positive dose-response relationship among 3 levels of food desert and food swamp scores and obesity-related cancer mortality was also observed. Conclusions and Relevance: The findings of this cross-sectional ecologic study suggest that policy makers, funding agencies, and community stakeholders should implement sustainable approaches to combating obesity and cancer and establishing access to healthier food, such as creating more walkable neighborhoods and community gardens.

The association between food desert severity, socioeconomic status, and metabolic state during pregnancy in a prospective longitudinal cohort.

Poor metabolic health during pregnancy is associated with health concerns for pregnant individuals and their offspring. Lower socioeconomic status (SES) is one risk factor for poor metabolic health, and may be related to limited access to healthful and affordable foods (e.g., living in a food desert). This study evaluates the respective contributions of SES and food desert severity on metabolic health during pregnancy. The food desert severity of 302 pregnant individuals was determined using the United States Department of Agriculture Food Access Research Atlas. SES was measured using total household income adjusted for household size, years of education, and amount of reserve savings. Information about participants' glucose concentrations one hour following an oral glucose tolerance test during the second trimester was extracted from medical records and percent adiposity during the second trimester was assessed using air displacement plethysmography. Information about participants' nutritional intake during the second trimester was obtained by trained nutritionists via three unannounced 24-h dietary recalls. Structural equation models showed that lower SES predicted higher food desert severity (ß = - 0.20, p = 0.008) and higher adiposity (ß = - 0.27, p = 0.016) and consumption of a more pro-inflammatory diet (ß = - 0.25, p = 0.003) during the second trimester of pregnancy. Higher food desert severity also predicted higher percent adiposity during the second trimester (ß = 0.17, p = 0.013). Food desert severity significantly mediated the relationship between lower SES and higher percent adiposity during the second trimester (ßindirect = - 0.03, 95% CI [- 0.079, - 0.004]). These findings indicate that access to healthful and affordable foods is a mechanism by which SES contributes to adiposity during pregnancy and may inform interventions intended to improve metabolic health during pregnancy.

Food Deserts Increase Readmission After Esophagectomy for Cancer: A Multi-institutional Study.

BACKGROUND: Food deserts are low-income census tracts with poor access to supermarkets and are associated with worse outcomes in breast, colon, and a small number of esophageal cancer patients. This study investigated residency in food deserts on readmission rates in a multi-institutional cohort of esophageal cancer patients undergoing trimodality therapy. METHODS: A retrospective review of patients who underwent trimodality therapy at 6 high-volume institutions from January 2015 to July 2019 was performed. Food desert status was defined by the United States Department of Agriculture by patient ZIP Code. The primary outcome was 30-day readmission after esophagectomy. Multilevel, multivariable logistic regression was used to model readmission on food desert status adjusted for diabetes, insurance type, length of stay, and any complication, treating the institution as a random factor. RESULTS: Of the 453 records evaluated, 425 were included in the analysis. Seventy-three patients (17.4%) resided in a food desert. Univariate analysis demonstrated food desert patients had significantly increased 30-day readmission. No differences were seen in length of stay, complications, or 30-day mortality. In the adjusted logistic regression model, residing in a food desert remained a significant risk factor for readmission (odds ratio, 2.11; 95% CI, 1.07-4.15). There were no differences in 30-day, 90-day, or 1-year mortality based on food desert status, although readmission was associated with worse 90-day and 1-year mortality. CONCLUSIONS: Food desert residence was associated with 30-day readmission after esophagectomy in patients undergoing trimodality treatment for esophageal cancer in this multi-institutional population. Identification of patients residing in a food desert may allow surgeons to focus preventative interventions during treatment and postoperatively to improve outcomes.

Ecological study of the association between socioeconomic inequality and food deserts and swamps around schools in Rio de Janeiro, Brazil.

BACKGROUND: Previous research suggests that unhealthy community food environments around schools contribute to unhealthy eating habits and negative health outcomes among the youth. However, little is known about how socioeconomic inequalities in those community food environments are associated with food deserts and food swamps across schools' neighborhoods. METHODS: An ecological study was carried out in all 3,159 public and private schools in Rio de Janeiro, Brazil. Three measures of socioeconomic inequality were evaluated: per capita income, segregation index and deprivation index. The community school food environment was analyzed by metrics of food swamps and food deserts. RESULTS: Food deserts and food swamps were simultaneously more prevalent in neighborhoods of the lowest income, high deprivation, and high segregation. Spatial socioeconomic disparities at the neighborhoods of schools were associated with food deserts and food swamps in Rio de Janeiro. CONCLUSIONS: Our results point to a spatial socioeconomic inequality of establishments that sell food around schools in a Brazilian metropolis, indicating that the areas of greatest deprivation of food services are also the areas with the worst socioeconomic characteristics.

Prevalence of Food Insecurity and Living in a Food Desert among Individuals with Serious Mental Illnesses in Public Mental Health Clinics.

Very little is known about the prevalence of food insecurity-and living in a food desert-among persons with serious mental illnesses, such as schizophrenia and major mood disorders. This study evaluated those prevalences and assessed for associations with six other variables. Surveys were conducted with 300 patients with a psychotic or mood disorder receiving outpatient services at five community mental health agencies in Washington, D.C. The prevalences of low food security and very low food security were 68.9% and 46.8%, compared to national rates of 13.7% (13.2% in Washington, D.C.) and 5.4% (4.8% in Washington, D.C.). 50.0% of participants lived in food desert census tracts, which was associated with both severe and morbid obesity (p = .02 and p = .03, respectively). Additional research, evaluation of clinical implications, and potential policy approaches to these concerning social determinants of physical and mental health, in an already vulnerable patient population, are warranted.

Presença de desertos alimentares em um distrito sanitário de uma capital brasileira: um estudo descritivo e exploratório sobre a distribuição espacial de estabelecimentos comerciais de alimentos / Food deserts in a health district of a Brazilian capital: a descriptive and exploratory study on the spatial distribution of commercial food establishments

Introdução: O ambiente alimentar que a comunidade está inserida pode influenciar, positiva ou negativamente no acesso à alimentação de qualidade e consequentemente na sua saúde. Objetivo: Identificar a presença de desertos alimentares em um distrito sanitário de uma capital brasileira. Métodos: Estudo descritivo, transversal e exploratório, utilizando dados secundários de diferentes fontes institucionais para mapear a distribuição espacial de estabelecimentos de comercialização de alimentos: restaurantes, padarias, supermercados, minimercados/mercearias, hortifrutigranjeiros, vendedores ambulantes e lanchonetes/fastfood. Os estabelecimentos foram agrupados nas categorias in natura, ultraprocessados e mistos, de acordo com a predominância do tipo de alimentos comercializados. Para a análise, a densidade de estabelecimentos in natura juntamente com os mistos por mil habitantes (usuários cadastrados nos centros de saúde) foram calculadas.  Resultados: Foram investigados 111 estabelecimentos, sendo 20% que comercializavam alimentos in natura (saudáveis), 27% alimentos ultraprocessados (não saudáveis) e 53% considerados mistos. Conclusões: Foram observadas áreas que podem ser consideradas desertos alimentares, locais onde há pouca (ou ausência) de oferta de alimentos in natura, e por consequência dificultando o acesso a alimentos saudáveis.

Introduction: The communities' food environment can positively or negatively influence access to quality food and consequently, people's health. Objective: Identify the presence of food deserts in a health district of a Brazilian capital. Methods: Descriptive, cross-sectional and exploratory study, using secondary data from different institutional sources to map the spatial distribution of food establishments such as restaurants, bakeries, supermarkets, minimarkets/grocery stores, fruit and vegetable stores, street vendors and cafeterias/fast food. The establishments were grouped into fresh, ultra-processed and mixed food categories, according to the predominance of the type of food offered. For the purpose of analysis, the density of fresh food establishments together with mixed food establishments per thousand inhabitants (as registered in the health centers) was calculated.  Results: A total of 111 establishments were investigated, 20% selling fresh foods (healthy), 27% ultra-processed foods (unhealthy) and 53% considered mixed food sellers. Conclusions: Areas that can be considered food deserts were found, i.e. places where there is little (or absence) of fresh food supply, and consequently making access to healthy foods difficult.