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.

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 (BMIz ≥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%; χ2 = 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.
CONCLUSIONS: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.

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/m2), 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.
CONCLUSIONS: There is a strong association between living in a food desert and the development of symptomatic COVID-19 requiring hospitalization in pregnancy.

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).
CONCLUSIONS: 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.

(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.

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.

BACKGROUND: 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).
CONCLUSIONS: 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.

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.

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).
CONCLUSIONS: The surrounding food environment of patients may serve as a modifiable sociodemographic risk factor that contributes to disparities in postoperative CRC outcomes.