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This cross-sectional study aimed to evaluate the association between the consumption of healthy and unhealthy food markers among adolescents enrolled in the ninth grade of elementary school in municipal public schools and the food environment around the schools in two municipalities of different sizes, located in Southern Brazil. The data were collected between 2022 and 2023, with 449 adolescent participants. Of these, 347 were students from the municipality of Florianópolis, and 102 were students from the municipality of Governador Celso Ramos, all aged between 13 and 17 years. The establishments located around the schools were evaluated using AUDITNOVA, an instrument that investigates the environmental dimension and food dimension. The consumption of healthy eating markers (beans, vegetables, and fresh fruits) and unhealthy eating markers (ultra-processed foods, soft drinks, sweets, and fried snacks) among students was assessed using a food frequency questionnaire. Statistically significant associations were observed between the food environment around the school and the consumption of unhealthy food markers (OR = 0.63; 95% CI = 0.41-0.98 p = 0.041) but only in the large municipality. No significant associations were found in the students' food consumption in the small municipality. A significant association between the school food environment and adolescents' consumption of unhealthy foods was observed in Florianópolis. Healthy food consumption was low among students in the small municipality, Governador Celso Ramos.

Objective: To examine endometrial cancer survivors' access to healthy food resources recommended by the Society of Gynecologic Oncology (SGO) in relation to food deserts and social health determinants., Methods: Participants included women seen for endometrial cancer treatment at an academic medical center in the Deep South from 2015 to 2020 who lived in South Carolina. Demographic and comorbidity data were abstracted from medical records. Food desert data were obtained from the United States Department of Agriculture (USDA). Each patient was assigned a socioeconomic (SES) score (SES-1 = low, SES-5 = high) using census data and a social vulnerability index (SVI) using Center for Disease Control and Prevention (CDC) data for neighborhood adverse health effects. Geospatial techniques assessed patients' driving distance from home to a healthy food resource., Results: Of the 736 endometrial cancer survivors, 31% identified as African American, and 30% lived in low SES (SES-1, SES-2) census blocks. Most survivors had low grade disease (63%) and 76% with stage 1-2 disease. Seventy percent of patients were obese (BMI ≥30 kg/m2). Forty percent of survivors lived in a food desert. Survivors living in a food desert with low SES had significantly higher social vulnerability (p = 0.0001) and lower median income (p = 0.0001). Those with low SES and living in a food desert drove further (p = 0.05, range 0.017-12.0 miles)., Conclusion: Obesity rates were high in endometrial cancer survivors living in the Deep South. Survivors with higher social vulnerability and lower SES were more likely to live in food deserts with decreased access to healthy food resources., Competing Interests: Declaration of competing interest The authors declare that there are no conflicts of interest regarding the publication of this article., (Copyright © 2024. Published by Elsevier Inc.)

Food security among rural veteran populations is an understudied subject. This study uses qualitative data from 106 semi-structured interviews conducted with staff from programs at the United States Department of Veterans Affairs (VA) and other federal agencies, staff from non-governmental organizations (NGOs), food security researchers, and food insecure veterans to identify the barriers to and facilitators for rural veteran food security. Barriers identified included external, structural barriers that exist in rural areas; internal barriers to using food assistance, such as feeling stigmatized; and barriers related to other social determinants of health, including a lack of education, employment, or housing stability.

Introduction: The food environment influences the availability and affordability of food options for consumers in a given neighborhood. However, disparities in access to healthy food options exist, affecting Black and low-income communities disproportionately. This study investigated whether racial segregation predicted the spatial distribution of supermarkets and grocery stores better than socioeconomic factors or vice versa in Cleveland, Ohio., Method: The outcome measure was the count of supermarket and grocery stores in each census tract in Cleveland. They were combined with US census bureau data as covariates. We fitted four Bayesian spatial models. The first model was a baseline model with no covariates. The second model accounted for racial segregation alone. The third model looked at only socioeconomic factors, and the final model combined both racial and socioeconomic factors., Results: Overall model performance was better in the model that considered only racial segregation as a predictor of supermarkets and grocery stores (DIC = 476.29). There was 13% decrease in the number of stores for a census tract with a higher majority of Black people compared to areas with a lower number of Black people. Model 3 that considered only socioeconomic factors was less predictive of the retail outlets (DIC = 484.80)., Conclusions: These findings lead to the conclusion that structural racism evidenced in policies like residential segregation has a significant influence on the spatial distribution of food retail in the city of Cleveland., (© 2023. The Author(s).)

Background: Socioeconomic disparities play an important role in disease epidemiology and outcomes in pregnancy., Objective: The objective was to evaluate whether pregnant women with COVID-19 living in a food desert, are at increased risk of more severe disease reflected by symptoms at presentation and need for hospitalization., Methods: In this retrospective observational study, the electronic medical records of all pregnant patients with documented SARS-CoV-2 infection were reviewed. Food deserts were defined by the USDA and the patient's residence was mapped on the Food Access Research Atlas to determine whether each patient lived within a food desert. Comparisons between those with documented symptomatic COVID-19 required hospitalization to those with documented COVID-19 without need for hospitalization were made using univariate analysis and multivariable logistic regression analysis., Results: The cohort consisted of 129 pregnant patients with COVID-19, with 59.7% (n = 77) asymptomatic and 33.3% (n = 43) requiring admission due to disease severity. The majority were Hispanic (70.5%), and obese (median BMI 31.91 kg/m 2 ), with 33.3% living in a food desert. Patients with disease severity necessitating admission were significantly more likely to reside in a food desert (46.5% vs. 27.9%, P 0.037, OR 2.246, 95% CI 1.048-4.814). No other significant differences were identified on univariate. Multivariable binary logistic regression modeling confirmed food desert residence to be the only independent predictor of more severe COVID-19., Conclusion for Practice: There is a strong association between living in a food desert and the development of symptomatic COVID-19 requiring hospitalization in pregnancy., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objective: Living in a food desert is a known negative health risk, with recent literature finding an associated higher mortality in patients with cancers. Gynecologic cancers have not specifically been studied. We aimed to describe patients with gynecologic cancers who live in a food desert and determine if there is an association between living in a food desert and gynecologic cancer mortality., Methods: The 2013-2019 California Cancer Registry (CCR) was used to identify patients with endometrial, ovarian, or cervical cancers. Patient residential census tract was linked to food desert census tracts identified by the 2015 United States Department of Agriculture Food Access Research Atlas. Comorbidity data were obtained from the California Office of Statewide Health Planning and Development database (OSHPD). Treatment, diagnosis, and survival outcomes were obtained from the CCR's variables and compared by food desert status. Five-year disease-specific survival was analyzed by applying Cox proportional hazards analysis., Results: 40,340 gynecologic cancer cases were identified. 60.1 % had endometrial cancer, 23.2 % had ovarian cancer, and 15.9 % had cervical cancer. The average age of the cohort was 59.4 years, 48.0 % was non-Hispanic White, 50.3 % was privately insured, and 6.8 % of lived in a food desert. Living in a food desert was associated with higher disease-specific mortality for patients with gynecologic cancers (endometrial cancer HR 1.43p < 0.001 95 % CI 1.22-1.68; ovarian cancer HR 1.47p < 0.001 95 % CI 1.27-1.69; cervical cancer HR 1.24p = 0.045 95 % CI 1.01-1.54)., Conclusion: Patients living in food deserts had worse disease-specific survival, making access to food a modifiable risk factor that may result in mitigating gynecologic cancer disparities., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Inc.)

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., Competing Interests: Declaration of competing interest The authors declare no conflict of interest. The study was approved by the Institutional Review Board of Kansas State University., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

(1) Background: Independently owned restaurants (IORs) are prevalent in under-resourced racial and ethnic minority communities in the US and present a unique setting for public health nutrition interventions. (2) Methods: We conducted 14 in-depth interviews with IOR owners in Baltimore about their perceptions of healthy food, and customers' acceptance of healthier menus and cooking methods and concurrent observations of the availability of healthy options on their menus. Qualitative data were coded and analyzed using ATLAS.ti. Observations were analyzed with statistical analysis performed in R. (3) Results: Owners perceived non-fried options, lean proteins, and plant-based meals as healthy. While open to using healthier cooking fats, they had mixed feelings about reducing salt, adopting non-frying methods for cooking, and adding vegetables and whole grains to the menu, and were reluctant to reduce sugar in recipes and beverages. Only 17.5% of 1019 foods and 27.6% of 174 beverages in these IORs were healthy, with no significant differences in the healthfulness of restaurant offerings within low-healthy-food-access/low-income neighborhoods and those outside. (4) Conclusion: Healthy options are generally scarce in Baltimore's IORs. Insights from owners inform future interventions to tailor healthy menu offerings that are well-received by customers and feasible for implementation.

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.

Background: As the nutritional status of people with CF (PwCF) is associated with their socioeconomic status, it is important to understand factors related to food security and food access that play a role in the nutritional outcomes of this population. We assessed the contributions of CF program-level food insecurity screening practices and area-level food access for nutritional outcomes among PwCF., Methods: We conducted a cross-sectional analysis of 2019 data from the U.S. CF Patient Registry (CFFPR), linked to survey data on CF program-level food insecurity screening and 2019 patient zip code-level food access. Pediatric and adult populations were analyzed separately. Nutritional outcomes were assessed with annualized BMI percentiles (CDC charts) for children and BMI (kg/m 2 ) for adults, with underweight status defined as BMIp <10% for children and BMI <18.5 kg/m 2 for adults, and overweight or obese status defined as BMIp >85% for children and BMI >25 kg/m 2 for adults. Analyses were adjusted for patient sociodemographic and clinical characteristics., Results: The study population included 11,971 pediatric and 14,817 adult PwCF. A total of 137 CF programs responded to the survey, representing 71% of the pediatric sample and 45% of the CFFPR adult sample. The joint models of nutritional status as a function of both program-level food insecurity screening and area-level food access produced the following findings. Among children with CF, screening at every visit vs less frequently was associated with 39% lower odds of being underweight (OR 0.61, p = 0.019), and the effect remained the same and statistically significant after adjusting for all covariates (aOR 0.61, p = 0.047). Residence in a food desert was associated both with higher odds of being underweight (OR 1.66, p = 0.036; aOR 1.58, p = 0.008) and with lower BMIp (-4.81%, p = 0.004; adjusted -3.73%, p = 0.014). Among adults with CF, screening in writing vs verbally was associated with higher odds of being overweight (OR 1.22, p = 0.028; aOR 1.36, p = 0.002) and higher BMI (adjusted 0.43 kg/m 2 , p = 0.032). Residence in a food desert was associated with higher odds of being underweight (OR 1.48, p = 0.025)., Conclusions: Food insecurity screening and local food access are independent predictors of nutritional status among PwCF. More frequent screening is associated with less underweight among children with CF, whereas screening in writing (vs verbally) is associated with higher BMI among adults. Limited food access is associated with higher odds of being underweight in both children and adults with CF, and additionally with lower BMI among children with CF. Study results highlight the need for standardized, evidence-based food insecurity screening across CF care programs and for equitable food access to optimize the nutritional outcomes of PwCF., Competing Interests: Declaration of Competing Interest Kim Reno and Cristen Clemm are employees of the Cystic Fibrosis Foundation. Georgia Brown is a person living with cystic fibrosis. All other co-authors served on the Cystic Fibrosis Foundation Food Security Committee and received a honorarium for their service., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Rapid urbanization in developing countries is increasingly becoming an important development issue due to its negative effects on poverty and food insecurity in cities. This study investigated the determinants of the food insecurity gap among urban households living in informal settlements in Nairobi, Kenya, and the role of social connectedness and the rural-urban food continuum. Using panel data collected from 385 households using a two-stage cluster sample design, the study applied panel data regression and decomposition models to understand the factors affecting food insecurity access scores and weekly household food consumption expenditure. Descriptive results showed a score of 8.00 for the pooled sample on the household food access scale, with households from other regions having a lower score (7.94) than those from the Western region (8.32). 43 % of households from Western Kenya engaged in farming in rural areas (43 %) and had higher social connectedness (45 %) than households from other regions. The results indicate that dependency ratio, income, savings, social connectedness, rural visits, and dietary knowledge are significant factors impacting food security. Decomposition of levels and change in food insecurity revealed that endowments from the random effects model contributed to reducing the food insecurity gap between households originating from the Western region and those from other regions. The study highlights the importance of considering regional factors and promoting social connectedness and rural-urban linkages in addressing food insecurity in informal urban settlements., Competing Interests: The author declare no financial interests or personal relationships which may be considered as potential competing interests., (© 2024 The Author.)

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., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Oh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

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., (Copyright © 2024 Society for Surgery of the Alimentary Tract. Published by Elsevier Inc. All rights reserved.)

Introduction: Food deserts are a major public health concern. Inadequate access to healthy food has been associated with poor nutrition and the development of dietary related chronic conditions., Objective: To determine the association between geographic access to nutritious food and preterm birth and whether gestational hypertension mediates this relationship., Methods: Food access data was retrieved from the U.S. Department of Agriculture Food Access Research Atlas (2019) and used to quantify the percentage of Census tracts within each county that were food deserts: low-income tracts with limited access to grocery stores, supermarkets, or other sources of healthy, nutritious foods. These data were merged with US birth records from 2018 to 2019 by using the maternal county of residence ( n = 7,533,319). We fit crude and adjusted logistic regression models with generalized estimating equations to determine the association between living in a food desert and the odds of preterm birth. We conducted a secondary within-group analysis by stratifying the fully adjusted model by race for non-Hispanic White and non-Hispanic Black birthing people., Results: In the fully adjusted model, we found a dose-response relationship. As the prevalence of tract-level food deserts within counties increased, so did the likelihood of preterm birth (mid-range: odds ratio (OR) = 1.04, 95% confidence interval (C.I.) 1.01-1.07; high: OR = 1.07, 95% C.I. 1.03-1.11). Similar results were seen in the White-Black stratified models. However, a disparity remained as Black birthing people had the highest odds for preterm birth. Lastly, gestational hypertension appears to mediate the relationship between nutritious food access and preterm birth (natural indirect effect (NIE) = 1.01, 95% CI = 1.00, 1.01)., Conclusion: It is salient, particularly for Black birthing people who experience high rates of adverse birth outcomes, that the role of food desert residency be explored within maternal and child health disparities.

Food insecurity and the lack of access to affordable, nutritious food are associated with poor dietary quality and an increased risk of diet-related diseases, including cardiovascular disease, diabetes, and certain types of cancer. Those of lower socioeconomic status and racial and ethnic minority groups experience higher rates of food insecurity, are more likely to live in under-resourced food environments, and continue to bear the greatest burden of diet-related chronic diseases in the United States. Despite the growing body of literature in this area, there are still significant gaps in our understanding of the various pathways that link food insecurity and neighborhood food environments to racial/ethnic and socioeconomic disparities in health and the most effective intervention strategies to address these disparities. To better understand the science in this area, the National Institutes of Health, in collaboration with the Centers for Disease Control (CDC) and Prevention and the United States Department of Agriculture (USDA), convened a virtual 3-d workshop 21-23 September 2021: Food Insecurity, Neighborhood Food Environment, and Nutrition Health Disparities: State of the Science. The workshop brought together a diverse group of researchers, practitioners, policymakers, and federal partners with expertise in nutrition, the food environment, health and social policy, and behavioral and social sciences. The workshop had the following 3 research objectives: 1) summarize the state of the science and knowledge gaps related to food insecurity, neighborhood food environments, and nutrition health disparities, 2) identify research opportunities and strategies to address research gaps, and 3) examine evidence-based interventions and implementation approaches to address food insecurity and neighborhood food environments to promote health equity. This article summarizes workshop proceedings and describes research gaps and future opportunities that emerged from discussions., (Published by Elsevier Inc.)

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., (Copyright © 2023 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.)

Deserts, swamps and food oases terms have been used to characterize the food environment according to the identified food availability. Food swamps are defined as neighborhoods with a predominance of food establishments selling ultra-processed foods compared to establishments selling healthy options. In contrast, food oases are areas with easy access to healthy and nutritious foods, such as fruits, vegetables, and other fresh foods. Food deserts describe densely populated urban areas where residents face difficulty obtaining healthy food. In this context, this work aimed to map deserts, swamps, and food oases around federal schools in Bahia, Brazil, emphasizing the importance of implementing the Brazilian National School Feeding Program (PNAE) in these schools, to guarantee food security and nutrition. An ecological study was carried out in all 35 federal schools in Bahia, Brazil, using an 800 m buffer analysis, with the school as the centroid. The geographic coordinates of schools and food establishments were initially obtained using Google Maps and later confirmed onsite. To evaluate food deserts and swamps, the methodology proposed by the CDC was used and the Modified Retail Food Environment Index (mRFEI) was calculated; when the result was equal to zero, the surrounding area was considered a food desert and values between 0.01 and 20 determined food swamps; for values above 20, the neighborhood was classified as mixed. Food oases were considered regions containing at least one supermarket within the analyzed buffer. Descriptive analyses were carried out with frequency measurements, measures of central tendency (mean and median) and dispersion (standard deviation). The food environment of schools was compared considering the number of students impacted, the area where the school was located (urban or rural) and the size of the municipalities. The average number of food establishments found was 22.39 (±13.03), with the highest averages for snack bars (7.33 ± 4.43), grocery stores (5.83 ± 4.09) and restaurants (2.94 ± 2.19). Food deserts and mixed environments were identified in 40% of the sample, while swamps represented 20% and oases 65%. An association was observed between food deserts and social vulnerability, making it necessary to emphasize the importance of adequate implementation of the PNAE in these schools to reduce food and nutritional insecurity, guaranteeing the human right to adequate and healthy food and providing better nutrition and health perspectives within the school environment and impact on students' lives through food and nutrition education actions, which are also part of the context of PNAE activities.

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., Competing Interests: Dr. Brenner reports grants from the VA, DOD, NIH, and the State of Colorado; editorial remuneration from Wolters Kluwer and the Rand Corporation; and royalties from the American Psychological Association and Oxford University Press. Dr. Lowry reports grants from the NIH; serves on the Scientific Advisory Board of Immodulon Therapeutics, Ltd.; is cofounder, board member, and chief scientific officer of Mycobacteria Therapeutics Corporation; and is a member of the faculty of the Integrative Psychiatry Institute, Boulder, CO.

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., (© 2023. The Society for Surgery of the Alimentary Tract.)

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., (© 2023. The New York Academy of Medicine.)

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., (© 2023 American Association of Public Health Dentistry.)

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., (Copyright © 2023 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

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., (Copyright © 2023 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)

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., (© 2023. The Author(s).)

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.

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., (© Copyright 2023 Springer Publishing Company, LLC.)

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 (β = - 0.20, p = 0.008) and higher adiposity (β = - 0.27, p = 0.016) and consumption of a more pro-inflammatory diet (β = - 0.25, p = 0.003) during the second trimester of pregnancy. Higher food desert severity also predicted higher percent adiposity during the second trimester (β = 0.17, p = 0.013). Food desert severity significantly mediated the relationship between lower SES and higher percent adiposity during the second trimester (β indirect  = - 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., (© 2023. The Author(s).)

Low-income families, especially those who reside in food deserts, face significant systemic barriers regarding their ability to access affordable and nutritious food. The food behaviors exhibited by low-income families are a reflection of the shortcomings of the built environment and conventional food system. Policy and public-health initiatives to improve food security have, thus far, failed to deliver interventions that simultaneously address multiple pillars of food security. Centering the voices of the marginalized and their place-based knowledge may result in the development of food-access solutions that are a much better fit for the population that they intend to serve. Community-based participatory research has emerged as a solution to better meet the needs of communities in food-systems innovation, but little is known about the extent to which direct participation improves nutritional outcomes. The purpose of this research is to answer the following question: how can food-access solutions authentically engage marginalized community members in food-system innovation, and if participation is related to changes in their food behaviors, how is it related? This action research project leveraged a mixed-methods approach to analyze nutritional outcomes and define the nature of participation for 25 low-income families who reside in a food desert. Our findings suggest that nutritional outcomes improve when major barriers to healthy food consumption are addressed, for example, time, education, and transportation. Furthermore, participation in social innovations can be characterized by the nature of involvement as either a producer or consumer, actively or inactively involved. We conclude that when marginalized communities are at the center of food-systems innovation, individuals self-select their level of participation, and when primary barriers are addressed, deeper participation in food-systems innovation is associated with positive changes in healthy food behaviors.

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., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

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., (© 2023. The Author(s).)

In the U.S. state of Arizona, nearly one-third of households experienced food insecurity during the COVID-19 pandemic, an increase from one-fourth of households before the pandemic. Previous research on food insecurity in the wake of natural and human-instigated disasters demonstrates that groups vulnerable to food insecurity before a disaster are more susceptible to food insecurity during and after that disaster; however, less is known about whether this relationship also holds true during health-related disasters, such as the COVID-19 pandemic. We explore how the COVID-19 pandemic influenced urban food insecurity patterns by analyzing the socio-demographic characteristics of food pantry clients in Maricopa County, Arizona. Using data from Phoenix Rescue Mission (PRM), a local non-profit food service provider, two binomial logistic regression models compare the socio-demographic composition of total and first-time food pantry users before and during the pandemic. In addition to an overall increase in food pantry usage during the pandemic, we find that, while certain socio-demographic groups historically vulnerable to food insecurity experienced the predicted uptick in insecurity during the pandemic, other socio-demographic disparities were attenuated. These somewhat disparate findings illustrate the complex relationship between disasters and food insecurity in an urban context, offering several avenues for future research., Supplementary Information: The online version contains supplementary material available at 10.1007/s12571-022-01336-2., Competing Interests: Ethics approvalThis research was supported by the Virginia G. Piper Charitable Trust. Piper Trust supports organizations that enrich health, well-being, and opportunity for the people of Maricopa County, Arizona. The conclusions, views, and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any supporting funders. The authors have no competing interests to declare that are relevant to the content of this article.Conflict of interestThe authors declared that they have no conflicts of interest., (© The Author(s) 2022.)

Lack of geographic access to foods has been postulated as a cause for food insecurity, which has been linked to poor nutrition, obesity, and chronic disease. Building on an established cohort of randomly selected households from a low-income, predominantly Black neighborhood, we examined household food security, distance to where study participants reported doing their major food shopping, and prices at stores where they shopped. Data from the Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health study for years 2011, 2014 and 2018 was limited to residents of the neighborhood that began as a food desert (i.e., low access to healthy foods), but acquired a full-service supermarket in 2013. We calculated descriptive statistics and compared study participants in the former food desert neighborhood whose food security improved to those whose food security did not improve across survey waves. We estimated cross sectional linear regressions using all waves of data to assess food security level among study participants. Distance to major food shopping store was positively associated with food security (p < 0.05) while food-store prices were not significantly associated with food security. Findings suggest that for predominantly low-income residents, food secure individuals traveled further for their major food shopping.

The sensory properties of foods guide food choices and intake, importantly determining nutritional and health status. In communities that have inconsistent access to nutritious foods, such as food deserts, food taste perceptions and preferences have yet to be explored. The purpose of this study was to examine how taster status (supertaster vs. non-taster) and food security status (high or marginal vs. low or very low) influences food taste intensities, food preferences and perceptions, and diet quality in a cohort of students from a food desert campus in the Central Valley of California. Moreover, the complex relationship of socioeconomic status, race/ethnicity, and sex on cardiometabolic and cognitive health warrants further examination. Two hundred fifty participants (aged 18-24 years) living in a food desert campus were recruited in 2018 for this cross-sectional study where participants underwent taste tests on selected fruits, vegetables, and nuts, and clinical tests (anthropometrics, blood glucose, blood pressure, and endothelial function), cognitive function tests (memory and attention), diet quality assessment (Healthy Eating Index (HEI)), and food preference and perception assessments. Food taste intensities were influenced by sex with bitter and umami taste intensities of several foods being perceived more intensely by males. Moreover, food liking was largely influenced by ethnicity with Hispanics having higher liking ratings for several foods compared with non-Hispanics. Both, Hispanics and females, had higher total fruit HEI scores and lower attention scores than non-Hispanics and males, respectively. Females also had lower blood pressure, reactive hyperemia index, and fasting blood glucose. Food-insecure individuals rated cost and convenience as more important factors for overall food consumption and had lower attention scores than those with higher food-security status. Future research should consider the complex interactions of factors such as taste and flavor perception, sex, ethnicity, prior exposure to foods, and other environmental factors when studying food preferences and health in young adults.

Food deserts and swamps have previously been mostly studied in Anglo-Saxon countries such as the USA and Great Britain. This research is one of the first studies to map food deserts and swamps in a mainland European, densely populated but heavily fragmented region such as Flanders. The evolution of food deserts and swamps between 2008 and 2020 was assessed. Special focus was given to areas where high numbers of elderly, young people and/or families with low income live. Food deserts were calculated based on supermarket access within 1000 m and bus stop availability, while food swamps were calculated using the Modified Food Environment Retail Index. The main cause behind the formation of food deserts in Flanders is its rapidly aging population. Food deserts with a higher number of older people increased from 2.5% to 3.1% of the residential area between 2008 and 2020, housing 2.2% and 2.8% of the population, respectively. Although the area that could become a food desert in the future due to these sociospatial and demographic evolutions is large, food deserts are currently a relatively small problem in Flanders in comparison to the widespread existence of food swamps. Unhealthy retailers outnumbered healthy retailers in 74% of residential areas in 2020, housing 88.2% of the population. These food swamps create an environment where unhealthy food choices predominate. Residential areas with a higher number of elderly people, young people and families with low incomes had healthier food environments than Flanders as a whole, because these areas are mostly found in dense urban centers where the ratio of healthy food retailers to all retailers is higher. This research showed that food deserts and swamps could be a growing problem in European regions with a high population density that experience the high pressures of competing land uses.

The concept of food environment refers to the opportunities; environments; and physical, economic, political, and socio-cultural conditions that frame the interaction of people with the food system and shape decisions about food acquisition and consumption. This study analyzes the relationships between the characteristics of urban environments and the availability of retail food through the evaluation of physical and financial access to food in the Metropolitan Area of the Valley of Mexico (MAVM) between 2010 and 2020. Using Geographic Information Systems (GISs), both physical access through network distance to economic food retail units and financial access through socioeconomic status at the block scale were evaluated. The network distance and socioeconomic status results were used as criteria for the spatially explicit classification of the MAVM into food deserts, oases, and swamps. Food deserts are the most abundant food environments but only increased in the third and fourth metropolitan contours. Swamps have increased throughout the city, related to the proliferation of convenience stores that have replaced grocery stores. This study contributes evidence at a local and regional scale required for the future urban planning of the MAVM and for public health and sustainability programs focusing on treating food-related diseases.

Background: The issue of food insecurity is becoming increasingly important to public health practitioners because of the adverse health outcomes and underlying racial disparities associated with insufficient access to healthy foods. Prior research has used data sources such as surveys, geographic information systems, and food store assessments to identify regions classified as food deserts but perhaps the individuals in these regions unknowingly provide their own accounts of food consumption and food insecurity through social media. Social media data have proved useful in answering questions related to public health; therefore, these data are a rich source for identifying food deserts in the United States., Objective: The aim of this study was to develop, from geotagged Twitter data, a predictive model for the identification of food deserts in the United States using the linguistic constructs found in food-related tweets., Methods: Twitter's streaming application programming interface was used to collect a random 1% sample of public geolocated tweets across 25 major cities from March 2020 to December 2020. A total of 60,174 geolocated food-related tweets were collected across the 25 cities. Each geolocated tweet was mapped to its respective census tract using point-to-polygon mapping, which allowed us to develop census tract-level features derived from the linguistic constructs found in food-related tweets, such as tweet sentiment and average nutritional value of foods mentioned in the tweets. These features were then used to examine the associations between food desert status and the food ingestion language and sentiment of tweets in a census tract and to determine whether food-related tweets can be used to infer census tract-level food desert status., Results: We found associations between a census tract being classified as a food desert and an increase in the number of tweets in a census tract that mentioned unhealthy foods (P=.03), including foods high in cholesterol (P=.02) or low in key nutrients such as potassium (P=.01). We also found an association between a census tract being classified as a food desert and an increase in the proportion of tweets that mentioned healthy foods (P=.03) and fast-food restaurants (P=.01) with positive sentiment. In addition, we found that including food ingestion language derived from tweets in classification models that predict food desert status improves model performance compared with baseline models that only include socioeconomic characteristics., Conclusions: Social media data have been increasingly used to answer questions related to health and well-being. Using Twitter data, we found that food-related tweets can be used to develop models for predicting census tract food desert status with high accuracy and improve over baseline models. Food ingestion language found in tweets, such as census tract-level measures of food sentiment and healthiness, are associated with census tract-level food desert status., (©Nekabari Sigalo, Beth St Jean, Vanessa Frias-Martinez. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 05.07.2022.)

Background: Community pharmacists can play an important role in helping patients who live in food deserts through screening, adjusting therapeutic recommendations and counseling practices, and making referrals to community resources. However, literature regarding community pharmacists' knowledge, practices, and attitudes regarding food deserts is scant., Objectives: The primary objective of this study was to assess Ohio community pharmacists' knowledge regarding food deserts. Secondary objectives included determining their attitudes, practices, and perceived barriers related to this topic., Methods: An anonymous 26-question survey was created and distributed to a random sample of 500 licensed community pharmacists in Ohio. Participants were granted 3 weeks to complete the survey and were offered a link to free Accreditation Council for Pharmacy Education-approved continuing pharmacy education as an incentive. The survey was deemed exempt by the Institutional Review Board., Results: The survey was successfully delivered to 491 pharmacists; 72 participated (14.7% response rate). About 43% of respondents were familiar with the term "food desert," and less than one-third (31.9%) reported being aware of community resources. Of those who thought that some of their patients lived in food deserts, the majority indicated that they did not consider it in patient interactions (65.1%) and "never" adjusted their counseling practices (65.1%). Barriers that prevented them from referring patients included lack of knowledge and confidence as well as workflow constraints. About 68% of respondents somewhat or strongly agreed that pharmacists could help patients living in food deserts, and 65.3% were interested in learning more information about food deserts., Conclusion: Deficiencies in knowledge regarding food deserts and available resources were found among Ohio community pharmacists, but they showed interest in learning more information. Efforts should be made to educate community pharmacists about food deserts and to determine how to optimize their ability to assist patients as needed., (Copyright © 2022 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.)

Family child care homes (FCCHs) are a favored child care choice for parents of young children in the U.S. Most FCCH providers purchase and prepare foods for the children in their care. Although FCCH providers can receive monetary support from the Child and Adult Care Food Program (CACFP), a federal subsidy program, to purchase nutritious foods, little is known about FCCH providers' access to nutritious foods, especially among FCCH providers serving children from communities that have been historically disinvested and predominantly Black. This study aims to describe the food desert status of FCCHs in Baltimore City, Maryland, and examine the relationship between food desert status and the quality of foods and beverages purchased and provided to children. A proportionate stratified random sample of 91 FCCH providers by CACFP participation status consented. Geographic information system mapping (GIS) was used to determine the food desert status of each participating FCCH. Participants reported on their access to food and beverages through telephone-based surveys. Nearly three-quarters (66/91) of FCCHs were located in a food desert. FCCH providers working and living in a food desert had lower mean sum scores M (SD) for the quality of beverages provided than FCCH providers outside a food desert (2.53 ± 0.81 vs. 2.92 ± 0.70, p = 0.036, respectively). Although the significant difference in scores for beverages provided is small, FCCH providers working in food deserts may need support in providing healthy beverages to the children in their care. More research is needed to understand food purchases among FCCH providers working in neighborhoods situated in food deserts.

Objectives: This study investigates the availability, accessibility, and product depth of in-store infant feeding and galactagogues products in majority Black and majority white zip codes in Los Angeles County., Methods: A cross-sectional study was conducted to determine racial/ethnic neighborhood differences in the availability of infant and follow-on formula and galactagogues products in 47 retail stores in 21 zip codes. Store-level data were collected in June 2019 and an observational tool for galactagogues products and infant/follow-on formula (availability, accessibility, product depth) was employed at each store., Results: Most of the stores were grocery stores (87.2%). Stores in majority Black zip codes had less availability of infant formula ready-to-use (p = 0.001), less accessibility of follow-on powder (p = 0.028), and availability of galactagogues beverages (p = 0.036) versus majority white zip codes. Product depth (number of brands sold) of stores with one or more brands of the aforementioned products was consistently higher in majority white zip codes compared to majority Black zip codes. Stores in majority Black zip codes were most likely to have lower availability of infant formula and galactagogues products, an important part of the food environment for infant feeding options, in particular, for lactation support., Conclusions for Practice: Most studies investigating the association of the food environment and health outcomes have focused only on solid foods. However, additional food products (e.g., liquids, powders) may be contributors to extensive disparities in infant mortality between Black and white infants and may lead to health disparities beyond infant stage (e.g., children, adolescents, and adults). Lastly, for breastfeeding inequities to decrease, pregnant and postpartum Black persons need equitable access and education on safe and quality galactagogues products., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Family Child Care Homes (FCCHs) are the second-largest childcare option in the US. Given that young children are increasingly becoming overweight and obese, it is vital to understand the FCCH mealtime environment. There is much interest in examining the impact of the Child and Adult Care Food Program (CACFP), a federal initiative to support healthy nutrition, by providing cash reimbursements to eligible childcare providers to purchase nutritious foods. This study examines the association among the FCCH provider characteristics, the mealtime environment, and the quality of foods offered to 2-5-year-old children in urban FCCHs and examines the quality of the mealtime environment and foods offered by CACFP participation. Methods: A cross-sectional design with a proportionate stratified random sample of urban FCCHs by the CACFP participation status was used. Data were collected by telephone using the Nutrition and Physical Activity Self-Assessment for Child Care survey. Results: A total of 91 licensed FCCHs (69 CACFP, 22 non-CACFP) participated. FCCH providers with formal nutrition training met significantly more of the quality standards for foods offered than providers without nutrition training ( β  = 0.22, p  = 0.034). The mealtime environment was not related to any FCCH provider characteristics. CACFP-participating FCCH providers had a healthier mealtime environment ( β  = 0.326, p  = 0.002) than non-CACFP FCCHs. Conclusions: Findings suggest that nutrition training and CACFP participation contribute to the quality of nutrition-related practices in the FCCH. We recommend more research on strengthening the quality of foods provided in FCCHs and the possible impact on childhood obesity.

Purpose: Food insecurity is an urgent crisis in the United States, with one in nine people lacking a consistent source of the food necessary for an active and healthy lifestyle. This crisis is particularly dire in Maricopa County, Arizona, where 1 in 5 children experience food insecurity, and >1 in 10 residents experience poverty. Mobile food pantries offer an additional resource to address food insecurity; however, there is minimal knowledge about how communities utilize these food distributors. Background: Research on the elderly (people >60 years) and immigrant populations shows that these populations are especially vulnerable to food insecurity. The risk these groups face is compounded in Maricopa County, the 15th largest county in the country with minimal public transit to extant resources. Mobile food pantries offer one solution to this issue, bringing groceries and other important items directly to communities. Methods: This study utilizes data from a food pantry called "Phoenix Rescue Mission" (PRM) on food insecure people's use of PRM's mobile and brick-and-mortar pantries, as well as census data. Using GIS mapping and a multinomial logistic regression model, this research identifies how different demographic groups engage with PRM's brick-and-mortar or mobile pantries. Results: Findings indicate that people aged 60-80 years and immigrant people of color are more likely to use both mobile and brick-and-mortar pantries. Conclusions: This research suggests that mobile pantries can reach the most food insecure populations and local nonprofits and governments can consider implementing mobile pantries to reach food insecure communities., Competing Interests: No competing financial interests exist., (© Lily K. Villa et al., 2022; Published by Mary Ann Liebert, Inc.)

Nearly 14% of American children aged 2-5 have obesity, with higher rates in children from lower-income and Black families. While evidence connects neighborhood socioeconomic environment (SEE) and obesity in adults and adolescents, little is known of this relationship in young children. We compared measures of SEE and family-level socio-demographic factors as predictors of obesity at age two., Methods: Family-level data from the PREVAIL Cohort, a CDC-funded birth cohort in Cincinnati, Ohio, were collected prenatally from the mothers. Residential addresses were geocoded and assigned validated measures of census tract-level SEE, including USDA food desert indicators and the Deprivation Index. Family-level and ecological SEE were compared as predictors of obesity (BMI z ≥1.65) at age two in terms of proportional differences, relative risk, and model fit statistics., Results: Residing outside of Deprivation Index High SEE neighborhoods was significantly associated with higher proportion (20.0% vs 5.9%; χ 2 = 4.36, p = 0.037) and increased risk of obesity in univariable (RR = 3.4, 95%CI: 1.26-13.86) and multivariable models (RR = 3.5, 95%CI: 1.06-11.71). There were no differences in proportion or risk of obesity by USDA food desert indicators or family-level factors. Models using categorical Deprivation Index performed better than the family-level and the USDA food desert variables in terms of model fit., Conclusion: In the PREVAIL Cohort, only category of Deprivation Index was a significant predictor of obesity in two-year-old children. Future studies are needed to evaluate the Deprivation Index as a generalizable tool to identify neighborhoods at higher risk for obesity.

Abstract: Previous empirical evidence has demonstrated that low-socioeconomic status (SES) communities have higher rates of gastroenteritis; however, there is a paucity of literature on the safety and quality of food (fresh produce) accessible to these communities. The overarching goal of this study was to investigate the microbial safety and quality of romaine lettuce from low- and high-SES neighborhoods in the Houston, TX, area. Loose-leaf romaine lettuce was purchased from low- and high-SES neighborhood retailers, and aerobic plate count, coliform, Escherichia coli, yeast, and mold assays were conducted. In addition, enrichment was performed on all samples for Listeria monocytogenes, Staphylococcus aureus, Salmonella spp., and E. coli O157:H7, and reverse transcriptase PCR analysis was carried out. The results showed that E. coli, coliform, yeast, and mold were present in significantly higher counts (P < 0.05) in produce obtained from low-SES neighborhoods compared with high-SES neighborhoods. The reverse transcriptase PCR results showed that 38% of samples from high-SES areas were positive for S. aureus versus 87% of samples from low-SES areas. None of the samples from high-SES areas were positive for the other pathogens. The samples from low-SES areas were positive for E. coli O157:H7 (4%), Salmonella spp. (53%), L. monocytogenes (13%), and S. aureus (87%). These results demonstrate a significant disparity in the quality and safety of romaine lettuce accessible to low- versus high-SES populations. Future studies can be designed to identify the specific cause of this challenge by investigating the food supply chain., (Copyright ©, International Association for Food Protection.)

Food insecurity (FI) is defined as "the limited or uncertain access to adequate food." One root cause of FI is living in a food desert. FI rates among people with cystic fibrosis (CF) are higher than the general United States (US) population. There is limited data on the association between food deserts and CF health outcomes. We conducted a retrospective review of people with CF under 18 years of age at a single pediatric CF center from January to December 2019 using demographic information and CF health parameters. Using a Geographic Information System, we conducted a spatial overlay analysis at the census tract level using the 2015 Food Access Research Atlas to assess the association between food deserts and CF health outcomes. We used multivariate logistic regression analysis and adjusted for clinical covariates and demographic covariates, using the Child Opportunity Index (COI) to calculate odds ratios (OR) with confidence intervals (CI) for each health outcome. People with CF living in food deserts and the surrounding regions had lower body mass index/weight-for-length (OR 3.18, 95% CI: 1.01, 9.40, p &nbsp;≤ 0.05 (food desert); OR 4.41, 95% CI: 1.60, 12.14, p ≤ 0.05 (600 ft buffer zone); OR 2.83, 95% CI: 1.18, 6.76, p ≤ 0.05 (1200 ft buffer zone)). Food deserts and their surrounding regions impact pediatric CF outcomes independent of COI. Providers should routinely screen for FI and proximity to food deserts. Interventions are essential to increase access to healthy and affordable food.

"Food deserts" are usually defined as geographic areas without local access to fresh, healthy food. We used community ecology statistics in supermarkets to quantify the availability of healthy food and to potentially identify food deserts as areas without a diverse selection of food, rather than a binary as to whether fresh food is present or not. We test whether produce diversity is correlated with neighborhood income or demographics. Abundance and diversity of fresh produce was quantified in supermarkets in Broward County, Florida, USA. Neighborhood income level and racial/ethnic makeup were retrieved from the U.S. Census and American Community Survey. Although diversity varied, there were no communities that had consistently less available fresh food, although the percent of a neighborhood identifying as "white" was positively correlated with produce diversity. There may be fewer choices in neighborhoods with a higher proportion of minorities, but there were no consistent patterns of produce diversity in Broward County. This method demonstrates an easy, inexpensive way to characterize food deserts beyond simple distance, and results in precise enough information to identify gaps in the availability of healthy foods.

Objective: Preterm birth (PTB) and food insecurity are two of the most significant public health crises in the United States. Effects of being underweight among populations with low food security are not well understood. We assess whether the protective effect of gestational weight gain (GWG) for women with low prepregnancy body mass index (BMI) differs by accessibility to sources of healthy food., Study Design: Population-based retrospective cohort study using Ohio birth records analyzing all live births, 2006 to 2015. Analyses were stratified by maternal BMI (underweight, normal, overweight, and obese), Institute of Medicine (IOM) recommended GWG (under vs. met), and whether the U.S. Department of Agriculture (USDA) classified the residential census tract for each birth as a food desert. Food access data were retrieved from the USDA's 2018 Food Access Research Atlas. Covariates were selected using least absolute shrinkage and selection operator regression. Logistic regression models estimated the risk ratio (RR) of PTB for each group based on under or exceeded recommended GWG (reference = met), adjusting for coexisting risk factors., Results: Analysis was performed on 1,124,299 births. PTB risk was highest for underweight women below GWG recommendations (no food desert: 21.3%, RR = 2.15, 95% confidence interval [CI]: 1.81-2.57; food desert: 21.0%, RR = 1.46, 95% CI: 0.96-2.21). Underweight women living in food deserts who exceeded GWG recommendations had lower PTB risk than those who met GWG recommendations (13.5 vs. 14.3%, RR = 0.85, 95% CI: 0.51-1.41). Factors other than GWG significantly associated with PTB included in the adjusted analysis include maternal age and race, education, marital status, interpregnancy interval, and presence of prepregnancy diabetes or hypertension., Conclusion: Underweight women who do not meet GWG recommendations are at high risk for PTB. Increasing pregnancy weight gain to a level that exceeds IOM recommendations was not associated with a reduction in PTB risk for underweight women who reside in food deserts compared with women who met GWG recommendations., Key Points: · Women with low prepregnancy BMI are at high risk of PTB.. · Food insecurity increases the risk of PTB for underweight women.. · Excessive GWG for underweight women in food deserts does not reduce PTB risk.., Competing Interests: None declared., (Thieme. All rights reserved.)

Objectives: This research offers an alternative to the singular focus on improving health services to the African American community to increase their resilience to health-related co-morbidities associated with Covid-19 deaths., Methods: This study employs a participatory action research (PAR) approach, where local non-profit organizations and researchers partnered with a challenged community in a self-study of intergenerational poverty related to health issues and the various obstacles to breaking this cycle., Results: A quantitative and qualitative analysis of interview and focus group data suggests that the majority of those living in poor neighborhoods report reducing intersectional factors that are the cause and function of intergenerational poverty would reduce poverty and by extension increase African Americans' resilience to health-related mortality., Conclusions: Analysis of data related to overlapping obstacles like lack of access to safe housing and quality health services offers both context and insight about how policies addressing poverty reduction may offer pathways for reducing the co-morbidities associated with pandemic risk for African Americans., (© 2020. W. Montague Cobb-NMA Health Institute.)