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PURPOSE OF REVIEW: Because nutrition plays a crucial role in the development of chronic diseases, ensuring nutrition security is important for promoting population health. Nutrition security is defined as having consistent and equitable access to healthy, safe, affordable foods essential to optimal health and well-being. Distinguished from food security, nutrition security consists of two constructs: healthy diets and nutritional status. The study aimed to identify population measures that reflect the important constructs of nutrition security (i.e., healthy diets and nutritional status) to inform U.S. nutrition security assessment and monitoring. RECENT FINDINGS: Through a narrative review conducted across multiple databases, associations between subconstructs of healthy diets and nutritional status were identified. Of the six subconstructs that constitute healthy diets, nutrient adequacy and moderation were most often used to assess and monitor healthfulness of U.S. population diets and were associated with health outcomes. There is little evidence of an association between health outcomes and macronutrient balance or diversity in the U.S. Thirteen instruments were identified as potentially suitable for measuring at least one subconstruct of healthy diet in the population. This review highlights the importance of nutrition security in addressing population health challenges. It emphasizes the potential use of multiple instruments and measures to comprehensively monitor population nutrition security and inform intervention strategies. Identifying feasible and practical measures for assessing and monitoring nutrition security is imperative for advancing population health and mitigating the burden of chronic diseases.
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BACKGROUND: Severe hypoglycemia is a serious adverse drug event associated with hypoglycemia-prone medications; older patients with diabetes are particularly at high risk. Economic food insecurity (food insecurity due to financial limitations) is a known risk factor for hypoglycemia; however, less is known about physical food insecurity (due to difficulty cooking or shopping for food), which may increase with age, and its association with hypoglycemia. OBJECTIVE: Study associations between food insecurity and severe hypoglycemia. DESIGN: Survey based cross-sectional study. PARTICIPANTS: Survey responses were collected in 2019 from 1,164 older (≥ 65 years) patients with type 2 diabetes treated with insulin or sulfonylureas. MAIN MEASURES: Risk ratios (RR) for economic and physical food insecurity associated with self-reported severe hypoglycemia (low blood glucose requiring assistance) adjusted for age, financial strain, HbA1c, Charlson comorbidity score and frailty. Self-reported reasons for hypoglycemia endorsed by respondents. KEY RESULTS: Food insecurity was reported by 12.3% of the respondents; of whom 38.4% reported economic food insecurity only, 21.1% physical food insecurity only and 40.5% both. Economic food insecurity and physical food insecurity were strongly associated with severe hypoglycemia (RR = 4.3; p = 0.02 and RR = 4.4; p = 0.002, respectively). Missed meals ("skipped meals, not eating enough or waiting too long to eat") was the dominant reason (77.5%) given for hypoglycemia. CONCLUSIONS: Hypoglycemia prevention efforts among older patients with diabetes using hypoglycemia-prone medications should address food insecurity. Standard food insecurity questions, which are used to identify economic food insecurity, will fail to identify patients who have physical food insecurity only.
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Emerging adulthood, the period between ages 18 and 25, is distinct from older and younger populations in terms of both physiology and social circumstances. As a critical developmental window with long-lasting repercussions, emerging adulthood presents a key opportunity for prevention of cardiovascular disease. Despite significant advances in diabetes and cardiovascular disease prevention for other age groups, 18-25 year-olds remain underrepresented in research. Using diabetes prevention as an example, we analyzed the cited evidence behind four major guidelines that influence US clinical practice on screening and management of prediabetes in children and adults, revealing that the majority of these studies in both the pediatric and adult literature do not include emerging adults in their study populations. This gap between the pediatric and adult diabetes prevention literature creates a missing link connecting childhood risks to adult chronic disease. In this article, we draw attention to this often overlooked age group, and provide tangible recommendations as a path forward for both pediatric and adult researchers to increase the representation of emerging adults in diabetes prevention and other cardiovascular disease prevention studies.
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Government, health care systems and payers, philanthropic entities, advocacy groups, nonprofit organizations, community groups, and for-profit companies are presently making the case for Food is Medicine (FIM) nutrition programs to become reimbursable within health care services. FIM researchers are working urgently to build evidence for FIM programs' cost-effectiveness by showing improvements in health outcomes and health care utilization. However, primary collection of this data is costly, difficult to implement, and burdensome to participants. Electronic health records (EHRs) offer a promising alternative to primary data collection because they provide already-collected information from existing clinical care. A few FIM studies have leveraged EHRs to demonstrate positive impacts on biomarkers or health care utilization, but many FIM studies run into insurmountable difficulties in their attempts to use EHRs. The authors of this commentary serve as evaluators and/or technical assistance providers with the United States Department of Agriculture's Gus Schumacher Nutrition Incentive Program National Training, Technical Assistance, Evaluation, and Information Center. They work closely with over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects, which, as of 2023, span 34 US states and territories. In this commentary, we describe recurring challenges related to using EHRs in FIM evaluation, particularly in relation to biomarkers and health care utilization. We also outline potential opportunities and reasonable expectations for what can be learned from EHR data and describe other (non-EHR) data sources to consider for evaluation of long-term health outcomes and health care utilization. Large integrated health systems may be best positioned to use their own data to examine outcomes of interest to the broader field.
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Electronic Health Records , Food , Humans , United States , Data Collection , BiomarkersABSTRACT
Background: Food insecurity, lack of consistent access to the food needed for an active, healthy life, harms population health. Although substantial biomedical evidence examines the connections between food insecurity and health, fewer studies examine why food insecurity occurs. Methods: We propose a conceptual understanding of food insecurity risk based on institutions that distribute income-the factor payment system (income distribution stemming from paid labor and asset ownership), transfers within households, and the government tax-and-transfer system. A key feature of our understanding is 'roles' individuals inhabit in relation to the factor payment system: child, older adult, disabled working-age adult, student, unemployed individual, caregiver, or paid laborer. A second feature is that the roles of others in an individual's household also affect an individual's food insecurity risk. We tested hypotheses implied by this understanding, particularly hypotheses relating to role, household composition, and income support programs, using nationally-representative, longitudinal U.S. Current Population Survey data (2016-2019). Results: There were 16,884 participants (year 1 food insecurity prevalence: 10.0%). Inhabiting roles of child (Relative Risk [RR] 1.79, 95% Confidence Interval [95%CI] 1.67 to 1.93), disabled working age-adult (RR 3.74, 95%CI 3.25 to 4.31), or unemployed individual (RR 3.29, 95%CI 2.51 to 4.33) were associated with a greater risk of food insecurity than being a paid laborer. Most food insecure households, 74.8%, had members inhabiting roles of child or disabled working age-adult, and/or contained individuals who experienced job loss. Similar associations held when examining those transitioning from food insecurity to food security in year 2. Conclusions: The proposed understanding accords with the pattern of food insecurity risk observed in the U.S. An implication is that transfer income programs for individuals inhabiting roles, such as childhood and disability, that limit factor payment system participation may reduce food insecurity risk for both those individuals and those in their household.
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Introduction: Food insecurity negatively impacts public health and costs the U.S. healthcare system $53 billion annually. Immigrants are at higher risk of food insecurity. We sought to (1) characterize the prevalence of food insecurity among immigrants (i.e., noncitizens and naturalized citizens) and U.S.-born citizens and (2) determine whether Supplemental Nutrition Assistance Program utilization and income-poverty ratio levels impact the relationship between immigration status and food insecurity. Methods: Multivariable logistic regression models were used to determine the odds of food insecurity (dependent variables) using nationally representative data from the 2019-2020 National Health Interview Survey. Independent variables included immigration status, Supplemental Nutrition Assistance Program utilization, income-poverty ratio, and other important demographics. AORs with their 95% CIs are reported. Analysis was conducted in 2022. Results: After controlling for independent variables, noncitizens had 1.28 (95% CI=1.02, 1.61) times higher odds of food insecurity than U.S.-born citizens. There was no food insecurity disparity between naturalized citizens and U.S.-born citizens. However, the association between immigration status and food insecurity varied significantly at different levels of Supplemental Nutrition Assistance Program utilization and income-poverty ratio. There were no food insecurity disparities between immigrants and U.S.-born citizens when they utilized the Supplemental Nutrition Assistance Program and when they had an income below 200% federal poverty level. Noncitizens who did not utilize the Supplemental Nutrition Assistance Program or those with an income above 200% federal poverty level were more likely to report food insecurity than their U.S.-born counterparts (AOR=1.32, 95% CI=1.01, 1.73 and AOR=1.88, 95% CI=1.24, 2.86, respectively). Moreover, naturalized citizens with an income above 200% federal poverty level were also more likely to report food insecurity than their U.S.-born counterparts (AOR=1.61, 95% CI=1.21, 2.14). Conclusions: Supplemental Nutrition Assistance Program utilization may likely eliminate food insecurity disparities among immigrants and U.S.-born citizens. However, among non-Supplemental Nutrition Assistance Program utilizers, significant food insecurity disparities remained between noncitizens and U.S.-born citizens after adjusting for independent variables. In addition, among individuals with incomes above 200% federal poverty level, significant food insecurity disparities were observed between immigrants and U.S.-born citizens. More research is needed to further understand the role that fear of deportation, ineligibility or lack of awareness about eligibility for the Supplemental Nutrition Assistance Program, and other factors such as structural racism play in food insecurity disparities between immigrants and U.S.-born citizens.
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Little is known about food insecurity and the extent of Supplemental Nutrition Assistance Program (SNAP) participation in the heterogeneous Asian American population. Using California Health Interview Survey data from the period 2011-20, we examined both issues among low-income Asian American adults from six origin groups: Chinese, Filipino, Japanese, Korean, South Asian, and Vietnamese. We found high and varied levels of overall food insecurity, with the highest burden among Filipino adults (40 percent). Food insecurity by severity was also heterogenous; very low food security affected 2 percent of Chinese adults but 9 percent and 10 percent of Filipino and Japanese adults, respectively. Participation in CalFresh (California-implemented SNAP) ranged from 11 percent and 12 percent among Korean and Chinese adults, respectively, to 20 percent among Vietnamese adults. Compared with English-proficient low-income Asian American adults, those with limited English proficiency were no less likely to participate in CalFresh, possibly reflecting language assistance required by California law and provided by community-based organizations. These results underscore the importance of collecting and reporting disaggregated data by Asian origin group that could inform targeted outreach and interventions.
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Asian , Food Assistance , Food Insecurity , Adult , Humans , Food Supply , Poverty , CaliforniaABSTRACT
This JAMA Forum discusses the key food is medicine (FIM) actions being taken by the federal government and individual state governments and key nongovernmental actions that are advancing FIM.
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Government , Medicine , FoodABSTRACT
Food insecurity increases the risk of developing diabetes and its complications. In this article, we describe the complex relationship that exists between food insecurity and diabetes and describe potential mechanisms that may underlie this association. We then describe how two different types of interventions, food-is-medicine and federal nutrition assistance programs, may help address both food insecurity and health. Finally, we outline the research, policy, and practice opportunities that exist to address food insecurity and reduce diabetes-related health disparities.
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Diabetes Mellitus , Food Supply , Humans , Nutritional Status , Diabetes Mellitus/epidemiology , Food , Food InsecurityABSTRACT
The US Department of Agriculture's Economic Research Service leads the federal government in data development and research on food security in US households. Nutrition security is an emerging concept that, although closely related, is distinct from food security. No standard conceptualization or measure of nutrition security currently exists. We review the existing research on nutrition security and how it is informed by the more robust literature on food security and diet quality. Based on this review, we propose a conceptual framework for understanding nutrition security and its relationship to food security. We identify two constructs (healthy diets and nutritional status) and multiple subconstructs that form the basis of nutrition security. The proposed framework and corresponding constructs are intended to provide (a) understanding of how nutrition security arises and how it differs from food security, (b) background on why assessment and monitoring of nutrition security is important, and (c) guidance for a research agenda that will further clarify the meaning of nutrition security and its measurement.
Subject(s)
Diet , Nutritional Status , United States , Humans , Health Status , Diet, Healthy , EatingABSTRACT
Women with low household income and from racial/ethnic minority groups are at elevated risk of food insecurity. Food insecurity during pregnancy is associated with overall less healthy diets, lower intake of the pregnancy-supportive nutrients iron and folate, and significant variations in diet across the course of a month. The goal of this study was to explore the impact of an ongoing $40/month supplement for fruits and vegetables (F&Vs) provided to pregnant people enrolled in the Special Supplemental Nutrition Program for Women and Children (WIC). Our primary outcome was food insecurity using the USDA 6-item survey, and our secondary outcome was dietary intake of F&Vs based on the 10-item Dietary Screener Questionnaire. Participants in intervention and comparison counties completed surveys at enrollment and approximately three months later (n = 609). Mean ± SD food insecurity at baseline was 3.67 ± 2.79 and 3.47 ± 2.73 in the intervention and comparison groups, respectively, and the adjusted between-group change from baseline to follow-up in food insecurity was 0.05 [95% CI: −0.35, 0.44] (p > 0.05). F&V intake (in cup equivalents) was 2.56 ± 0.95 and 2.51 ± 0.89 at baseline in the two groups, and the adjusted mean between-group difference in changes from baseline was −0.06 [−0.23, 0.11] (p > 0.05). Recruitment and data collection for this study coincided with the most intensive of America's COVID relief efforts. Our results may indicate that small increases in highly targeted food resources make less of a difference in the context of larger, more general resources being provided to individuals and households in need.
Subject(s)
COVID-19 , Food Assistance , Child , Diet , Ethnicity , Female , Food Security , Food Supply , Fruit , Humans , Minority Groups , Pregnancy , VegetablesABSTRACT
Nutritionally inadequate dietary intake is a leading contributor to chronic cardiometabolic diseases. Differences in dietary quality contribute to socioeconomic and racial and ethnic health disparities. Food insecurity, a household-level social or economic condition of limited access to sufficient food, is a common cause of inadequate dietary intake. Although US food assistance policies and programs are designed to improve food security, there is growing consensus that they should have a broader focus on nutrition security. In this policy statement, we define nutrition security as an individual or household condition of having equitable and stable availability, access, affordability, and utilization of foods and beverages that promote well-being and prevent and treat disease. Despite existing policies and programs, significant gaps remain for achieving equity in nutrition security across the life span. We provide recommendations for expanding and improving current food assistance policies and programs to achieve nutrition security. These recommendations are guided by several overarching principles: emphasizing nutritional quality, improving reach, ensuring optimal utilization, improving coordination across programs, ensuring stability of access to programs across the life course, and ensuring equity and dignity for access and utilization. We suggest a critical next step will be to develop and implement national measures of nutrition security that can be added to the current US food security measures. Achieving equity in nutrition security will require coordinated and sustained efforts at the federal, state, and local levels. Future advocacy, innovation, and research will be needed to expand existing food assistance policies and programs and to develop and implement new policies and programs that will improve cardiovascular health and reduce disparities in chronic disease.
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American Heart Association , Food Assistance , Diet , Food Supply , Humans , Nutrition Policy , Nutritional Status , United StatesABSTRACT
The COVID-19 pandemic resulted in widespread school closures, reducing access to school meals for millions of students previously participating in the US Department of Agriculture (USDA) National School Lunch Program (NSLP). School-prepared meals are, on average, more nutritious than home-prepared meals. In the absence of recent data measuring changes in children's diets during the pandemic, this article aims to provide conservative, back-of-the-envelope estimates of the nutritional impacts of the pandemic for school-aged children in the United States. We used administrative data from the USDA on the number of NSLP lunches served in 2019 and 2020 and nationally representative data from the USDA School Nutrition and Meal Cost Study on the quality of school-prepared and home-prepared lunches. We estimate changes in lunchtime calories and nutrients consumed by NSLP participants from March to November 2020, compared to the same months in 2019. We estimate that an NSLP participant receiving no school meals would increase their caloric consumption by 640 calories per week and reduce their consumption of nutrients such as calcium and vitamin D. Because 27 to 78 million fewer lunches were served per week in March-November 2020 compared to the previous year, nationally, students may have consumed 3 to 10 billion additional calories per week. As students return to school, it is vital to increase school meal participation and update nutrition policies to address potentially widening nutrition disparities.
Subject(s)
COVID-19 , Food Services , COVID-19/epidemiology , COVID-19/prevention & control , Child , Humans , Lunch , Pandemics/prevention & control , Schools , United States/epidemiologyABSTRACT
Background: Race/ethnicity and low English proficiency healthcare disparities are well established in the United States. We sought to determine if there are race/ethnicity differences in anti-obesity medication (AOM) prescription rates among youth with severe obesity treated in a pediatric weight management clinic and if, among youth from non-primary English speaking families, there are differences in prescriptions between those using interpreters during visits versus not. Methods: We reviewed electronic health records of 2- to 18-year-olds with severe obesity seen from 2012 to 2021. Race/ethnicity was self-report, and AOMs included topiramate, stimulants (e.g. phentermine, lisdexamfetamine), naltrexone (±bupropion), glucagon-like peptide-1 agonists, and orlistat. We used general linear regression models with log-link to compare incidence rate ratios (IRRs) within the first 1 and 3 years of being followed, controlling for age, percent of the 95th BMI percentile (%BMIp95), number of obesity-related comorbidities (e.g. insulin resistance, hypertension), median household income, and interpreter use. We repeated similar analyses among youth from non-primary English speaking families, comparing those using interpreters versus not. Results: 1,725 youth (mean age 11.5 years; %BMIp95 142%; 53% non-Hispanic White, 20% Hispanic/Latino, 16% non-Hispanic black; 6% used interpreters) were seen, of which 15% were prescribed AOMs within 1 year. The IRR for prescriptions was lower among Hispanic/Latino compared to non-Hispanic White youth at one (IRR 0.70; CI: 0.49-1.00; p = 0.047) but not 3 years. No other statistically significant differences by race/ethnicity were found. Among non-primary English speaking families, the IRR for prescriptions was higher at 1 year (IRR 2.49; CI: 1.32-4.70; p = 0.005) in those using interpreters versus not. Conclusions: Among youth seen in a pediatric weight management clinic, AOM prescription incidence rates were lower in Hispanics/Latinos compared to non-Hispanic Whites. Interpreter use was associated with higher prescription incidence rates among non-primary English speakers. Interventions to achieve equity in AOM prescriptions may help mitigate disparities in pediatric obesity.
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Food banks and pantries provide food to millions of food-insecure households each year. However, there has been limited research to understand the extent to which they improve food security. This is a secondary, prespecified analysis of a randomized controlled trial (ClinicalTrials.gov ID: NCT02569060). We examined whether an enhanced food bank intervention impacted the food security status of adults with diabetes. Using a crossover design, participants (n = 568) were randomly assigned to receive the intervention (usual pantry services plus twice-monthly diabetes-specific food boxes, diabetes self-management education, health care referrals, and glucose monitoring) or 6 mo of usual services. Results demonstrate a statistically significant improvement in food insecurity among participants following the intervention phase compared with the control phase (mean: 0.49-point decrease; 95% CI: 0.21, 0.77; P = 0.0006). This finding adds to evidence that the charitable food system plays an important role in mitigating short-term food insecurity for adults with diabetes.
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BACKGROUND: Cross-sectional studies have found that health-related quality of life and mental health are worse among food-insecure compared with food-secure individuals. However, how these outcomes change as food insecurity changes is unclear. OBJECTIVE: To evaluate how common patient-reported health-related quality of life and mental health scales change in response to changes in food security. DESIGN: Retrospective cohort study using data representative of the civilian, adult, non-institutionalized population of the USA. PARTICIPANTS: Food insecure adults who completed the 2016-2017 Medical Expenditure Panel Survey. MAIN MEASURES: Mental health, as measured by the mental component score of the Veterans Rand 12-Item Health Survey (VR-12) (primary outcome), along physical health (physical component score of the VR-12), self-rated health status, psychological distress (Kessler 6), depressive symptoms (PHQ2), and the SF-6D measure of health utility. We fit linear regression models adjusted for baseline outcome level, age, gender, race/ethnicity, education, health insurance, and family size followed by predictive margins to estimate the change in outcome associated with a 1-point improvement in food security. KEY RESULTS: A total of 1,390 food-insecure adults were included. A 1-point improvement in food security was associated with a 0.38 (95%CI 0.62 to 0.14)-point improvement in mental health, a 0.15 (95%CI 0.02 to 0.27)-point improvement in psychological distress, a 0.05 (95%CI 0.01 to 0.09)-point improvement in depressive symptoms, and a 0.003 (95%CI 0.000 to 0.007)-point improvement in health utility. Point estimates for physical health and self-rated health were in the direction of improvement, but were not statistically significant. CONCLUSIONS: Improvement in food insecurity was associated with improvement in several patient-reported outcomes. Further work should investigate whether similar changes are seen in food insecurity interventions, and the most useful scales for assessing changes in health-related quality of life and mental health in food insecurity interventions.
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Food Supply , Quality of Life , Adult , Humans , Cross-Sectional Studies , Cohort Studies , Retrospective Studies , Food Insecurity , Patient Reported Outcome MeasuresABSTRACT
Food insecurity, or lack of consistent access to enough food, is associated with low intakes of fruits and vegetables (FVs) and higher risk of chronic diseases and disproportionately affects populations with low income. Financial incentives for FVs are supported by the 2018 Farm Bill and United States (U.S.) Department of Agriculture's Gus Schumacher Nutrition Incentive Program (GusNIP) and aim to increase dietary quality and food security among households participating in the Supplemental Nutrition Assistance Program (SNAP) and with low income. Currently, there is no shared evaluation model for the hundreds of financial incentive projects across the U.S. Despite the fact that a majority of these projects are federally funded and united as a cohort of grantees through GusNIP, it is unclear which models and attributes have the greatest public health impact. We explore the evaluation of financial incentives in the U.S. to demonstrate the need for shared measurement in the future. We describe the process of the GusNIP NTAE, a federally supported initiative, to identify and develop shared measurement to be able to determine the potential impact of financial incentives in the U.S. This commentary discusses the rationale, considerations, and next steps for establishing shared evaluation measures for financial incentives for FVs, to accelerate our understanding of impact, and support evidence-based policymaking.
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Food Assistance , Vegetables , Food Supply , Fruit , Humans , Motivation , United StatesABSTRACT
BACKGROUND: Older adults dually eligible for Medicare and Medicaid have particularly high food insecurity prevalence and health care use. OBJECTIVE: To determine whether participation in the Supplemental Nutrition Assistance Program (SNAP), which reduces food insecurity, is associated with lower health care use and cost for older adults dually eligible for Medicare and Medicaid. DESIGN: An incident user retrospective cohort study design was used. The association between participation in SNAP and health care use and cost using outcome regression was assessed and supplemented by entropy balancing, matching, and instrumental variable analyses. SETTING: North Carolina, September 2016 through July 2020. PARTICIPANTS: Older adults (aged ≥65 years) dually enrolled in Medicare and Medicaid but not initially enrolled in SNAP. MEASUREMENTS: Inpatient admissions (primary outcome), emergency department visits, long-term care admissions, and Medicaid expenditures. RESULTS: Of 115 868 persons included, 5093 (4.4%) enrolled in SNAP. Mean follow-up was approximately 22 months. In outcome regression analyses, SNAP enrollment was associated with fewer inpatient hospitalizations (-24.6 [95% CI, -40.6 to -8.7]), emergency department visits (-192.7 [CI, -231.1 to -154.4]), and long-term care admissions (-65.2 [CI, -77.5 to -52.9]) per 1000 person-years as well as fewer dollars in Medicaid payments per person per year (-$2360 [CI, -$2649 to -$2071]). Results were similar in entropy balancing, matching, and instrumental variable analyses. LIMITATION: Single state, no Medicare claims data available, and possible residual confounding. CONCLUSION: Participation in SNAP was associated with fewer inpatient admissions and lower health care costs for older adults dually eligible for Medicare and Medicaid. PRIMARY FUNDING SOURCE: National Institutes of Health.