Changes in home food inventories and food procurement practices during the COVID-19 pandemic.

Supplemental Nutrition Assistance Program (SNAP) benefits are designed to buffer families from food insecurity, but studies suggest that most benefits are used by midmonth. In this study, we examined whether the home food environment varies across the SNAP benefits cycle among participating families . Participants in this mixed-methods study were 30 SNAP participants who were primary caregivers of a child ages 4-10 years. The home food environment was measured 1 week before SNAP benefit replenishment and again within 1 week after replenishment by using the Home Food Inventory. Household food insecurity was assessed by using the US Department of Agriculture Household Food Security Survey. Wilcoxon rank tests were used to evaluate changes in median Home Food Inventory subscales and food insecurity pre- to post-replenishment. Qualitative interviews with participating caregivers were conducted to explore contextual factors influencing the home food environment across the benefits cycle. Participants had significantly fewer types of vegetables (median: 7.0 vs 8.5, median difference 1.73, 95% confidence interval: 0.5-2.5, P = .03) and higher food insecurity pre- versus post-replenishment (median: 4.0 vs 2.0, median difference 1, 95% confidence interval: 0.1-1.5, P = .03). Caregivers described employing a variety of intentional strategies to reduce cyclic variation in food availability. Findings suggest that there is relatively limited cyclic variation in the home food environment among families participating in SNAP. This may be explained by a number of assistance programs and behavioral strategies caregivers used to make food last and buffer against scarcity. Future research should evaluate the relationship between the degree of home food environment changes and child health outcomes.

A Consideration of the Evaluation of Demonstration Projects to End Childhood Hunger (EDECH)

The Development, Implementation, and Evaluation of Innovative Strategies to Reduce Food Insecurity among Children in the United States

Background Food insecurity (FI) is an adverse social determinant of health (SDoH) prevalent among pediatric cancer patients and associated with poorer health outcomes in general pediatrics. Receipt of federal SNAP benefits reduces FI in general pediatrics, and is thus a marker of appropriate resource support to mitigate adverse SDoH. Dana-Farber Cancer Institute (DFCI) Acute Lymphoblastic Leukemia (ALL) Consortium Trial 16-001 is the first pediatric oncology clinical trial to prospectively collect parent-reported SDoH, including income, SNAP receipt, and FI. We investigated whether income-eligible pediatric ALL families were successfully receiving SNAP benefits, and whether SNAP receipt was associated with FI. Methods Secondary analysis of children aged 1-17 years with de novo ALL enrolled on the DFCI 16-001-embedded SDoH cohort study at 6 US centers from 2017-2022. We utilized parent-reported SDoH data at diagnosis (T0) and 6-mos (T1) into therapy to identify families as (1) SNAP-eligible, proxied as household income <130% Federal Poverty Level based on federal guidelines; and (2) food insecure, based on validated 2-item screen. McNemar’s test compared SNAP receipt at T0 vs T1 among those eligible at both timepoints. Associations between SNAP eligibility, SNAP receipt, and FI were evaluated with chi-square tests. Results At T0, among 262 evaluable families, 21% reported FI. A total of 20% (n=53) were SNAP-eligible, of whom 60% (n=32) reported FI and 53% (n=28) were receiving SNAP. Among 28 SNAP-recipient families, 61% reported FI. Similarly, at T1, among 223 evaluable families, 25% reported FI. A total of 28% (n=62) were SNAP-eligible, of whom 58% (n=36) reported FI and 58% (n=36) were receiving SNAP. Among 36 SNAP-recipient families, 56% reported FI. A significantly higher proportion of the 33 families SNAP-eligible at both T0 and T1 were receiving SNAP at T1 (70%) compared to T0 (52%) (p=0.034). Among eligible families, SNAP receipt was not associated with lower odds of FI at T0 (OR 1.03, p=0.96) or T1 (OR 0.83, p=0.73). Discussion FI, a well-defined adverse SDoH associated with inferior health outcomes, is highly prevalent among a trial-enrolled pediatric ALL population. Despite care delivery at highly resourced centers with dedicated staff to address social needs, a substantial proportion of likely eligible families (as proxied by income) were not receiving SNAP benefits 6-mos into therapy. Further, receipt of SNAP was inadequate to ameliorate FI in this cohort, with ~60% of SNAP recipients reporting concurrent FI both at T0 and T1. Ensuring successful connection of eligible families to existing benefits is an essential first step. However, high rates of FI among SNAP recipients indicate that resource navigation, though necessary, is not sufficient to address FI for this population. These data provide immediate targets for health equity interventions—including systematic benefits navigation, direct resource provision, and policy-based approaches for benefits augmentation—to address adverse SDoH and improve cancer outcomes. Citation Format: Rahela Aziz-Bose, Yael Flamand, Puja J. Umaretiya, Lenka Ilcisin, Ariana Valenzuela, Peter D. Cole, Lisa M. Gennarini, Justine M. Kahn, Kara M. Kelly, Bruno Michon, Thai-Hoa Tran, Jennifer J. G. Welch, Lewis B. Silverman, Kira Bona. Food insecurity and receipt of Supplemental Nutrition Assistance Program (SNAP) benefits among income-eligible US pediatric acute lymphoblastic leukemia patients enrolled on a multi-center clinical trial [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr B096.

Associations between Food Insecurity, Supplemental Nutrition Assistance Program (SNAP) Benefits, and Body Mass Index among Adult Females

OBJECTIVES/GOALS: The Fulkerson Home Food Inventory (HFI) is widely used to assess the home food environment, a key target of behavioral weight loss trials. However, no standardized report is available. We created publicly available procedures to automate and standardize HFI reporting, yielding a personalized report to enhance this measures clinical utility. METHODS/STUDY POPULATION: Parents in the TEENS adolescent behavioral weight loss trial complete the HFI at 0-, 2-, 4-, 8-, and 12m and receive personalized reports at each timepoint. In REDCap, participants identify foods available in their home. HFI syntax is applied to calculate the obesogenic home food availability score. Categories of foods found are identified, with specific guidance provided to enhance their home food environment. Prior to automation, procedures were time intensive and error prone. To address this, HFI data are exported into Excel by a PowerShell (v7.2) command-line script using Python (v3.10) with the REDCap API. Results are calculated with F# (v6.0) using Microsoft Excel Interop API and inserted into a report template with F# using the Microsoft Publisher Interop API. This process is repeated at each timepoint. RESULTS/ANTICIPATED RESULTS: The new automated procedures significantly reduce time to generate reports and enhance accuracy. Procedures yield a 2-page individualized report that includes the obesogenic home food environment score and identifies categories of healthy items found (e.g., fruits, vegetables, whole grains) as well as areas of improvement (e.g., high-fat dairy products, processed meats). Specific items found in each category are identified. The report identifies food found in the home (e.g., chicken nuggets) with suggested healthier substitutions (e.g., lean chicken breast). This syntax and commands will be made publicly available for use in the scientific and clinical community. DISCUSSION/SIGNIFICANCE: These publicly available procedures optimize, automate, and standardize reporting for the HFI. Procedures improve efficiency within large-scale clinical trials and yield a personalized report to enhance the clinical utility of this measure and empower participants to make informed decisions about their health behaviors.

Behavioral weight loss (BWL) for pediatric obesity includes guidance on improving the home food environment and dietary quality; yet food insecurity presents barriers to making these changes. This study examined if home food environment, dietary quality, energy intake, and body weight changes during adolescent obesity treatment differed by food security status, and if changes in the home food environment were associated with changes in dietary quality and energy intake by food security status. Adolescents (n = 82; 13.7 ± 1.2 years) with obesity participated in a 4-month BWL treatment. Food insecurity, home food environment (Home Food Inventory [HFI]), dietary quality (Healthy Eating Index [HEI]), energy intake, and body mass index (BMI) were assessed at baseline and post-treatment. A reduced obesogenic home food environment and improved dietary quality were observed for food secure (ps < 0.01), but not insecure households (ps > 0.05) (mean difference, HFI: −6.6 ± 6.4 vs. −2.4 ± 7.4; HEI: 5.1 ± 14.4 vs. 2.7 ± 17.7). Energy intake and BMI decreased for adolescents in food secure and insecure households (ps < 0.03) (mean difference; energy intake: −287 ± 417 vs. −309 ± 434 kcal/day; BMI: −1.0 ± 1.4 vs. −0.7 ± 1.4). BWL yielded similar reductions in energy intake and body weight yet did not offer the same benefits for improved dietary quality and the home food environment for adolescents with food insecurity.

Association between Travel Times and Food Procurement Practices among Female Supplemental Nutrition Assistance Program Participants in Eastern North Carolina

Supplemental Nutrition Assistance Program (SNAP): A Personal Story on Health and Nutrition Education

Measuring the Effects of a Demonstration to Reduce Childhood Food Insecurity: A Randomized Controlled Trial of the Nevada Healthy, Hunger Free Kids Project

P101 - Reliability of the Self-Report Home Food Inventory and the Food Preparation Supplies Checklist in College Students

Heterogeneous Impact of Supplemental Nutrition Assistance Program Benefit Changes on Food Security by Local Prices

The Supplemental Nutrition Assistance Program (SNAP) serves as the primary tool to alleviate food insecurity in the United States. Its effectiveness has been demonstrated in numerous studies, but the majority of SNAP recipients are still food insecure. One factor behind this is the difference in food prices across the country—SNAP benefits are not adjusted to reflect these differences. Using information from Feeding America's Map the Meal Gap (MMG) project, we compare the cost of a meal by county based on the Thrifty Food Plan (TFP)—which is used to set the maximum SNAP benefit—with the cost of the average meal for low-income food-secure households. We find that the cost of the latter meal is higher than the TFP meal for over 99 percent of the counties. We next consider the reduction in food insecurity if, by county, the maximum SNAP benefit level was set to the cost of the average meal for low-income food-secure households. We find that if this approach were implemented, there would be a decline of 50.9 percent in food insecurity among SNAP recipients at a cost of $23 billion.

An Increase in SNAP Benefits Did Not Impact Food Security or Diet Quality in Youth

The prevalence of food insecurity (FI) on university campuses is increasing. This study explored the prevalence of food and nutrition insecurity (NI) among dental students and barriers and interventions to address them. A cross-sectional web-based survey was conducted. Validated tools were used to assess FI and NI. Univariate binary logistic regressions and a multivariable logistic regression model identified factors independently associated with FI. The response rate was 11.9% (n = 67). The mean age was 28.4 years; 67% were D1/D2 students; 53.7% were female, 15.2% identified as Hispanic, and 50.7% as White. Forty percent experienced FI; 24.2% had low nutrition security (NS), and 26.9% reported partial or full responsibility for others' living expenses. Twenty-four percent were married, 25.8% used a food pantry; 11.1% had unsuccessfully applied for Supplemental Nutrition Assistance Program benefits. In the adjusted model, low NS, nonmarried status, and food pantry use increased the likelihood of FI (odds ratios of 16.854, 10.182, and 9.123, respectively). Common barriers and potential interventions to address FI and NI were explored. The prevalence of FI in this sample was greater than the national average. Those who were unmarried, had low NS, and used a food pantry were significantly more likely to have FI. Proposed interventions include student services enhancements and curriculum modifications on nutrition and wellness. Further research is necessary with a larger sample to understand factors contributing to NI and FI among dental students.