Food Insecurity and Health Care Expenditures in the United States, 2011-2013

Changes in Food Insecurity and Changes in Patient-Reported Outcomes: a Nationally Representative Cohort Study

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.

Food as Medicine Clinic: Early Results and Lessons Learned

INTRODUCTION

Hospital-based food pantries are commonly used to address food insecurity. However, few studies have examined the impact of these food pantries on patients with chronic health conditions. In this study, we sought to assess the effect of a hospital-based food pantry clinic on self-reported dietary changes, health outcomes, and resource utilization.

METHODS

This study included food insecure participants with suboptimally controlled congestive heart failure, hypertension, or diabetes who visited a Food as Medicine (FAM) clinic at an academic healthcare system between October 2018 and November 2019. The clinic provided a three-day supply of food for participants and their families up to two times per month for up to 12 months. Baseline, three-month, and six-month surveys were used to assess dietary behaviors, and electronic health record (EHR) data were used to assess health outcomes and utilization. Multivariable Poisson regression was used to explore variables associated with FAM clinic use.

RESULTS

At three months, participants self-reported improved dietary behaviors, including increased consumption of fruits and vegetables as snacks and an increased variety of fruits and vegetables consumed. There were no statistically significant changes in clinical or healthcare utilization measures, despite small absolute improvements in systolic blood pressure (SBP), hospitalizations, and emergency department (ED) visits. There was a weak association between FAM clinic visit frequency and changes in dietary behaviors.

CONCLUSION

Among patients with chronic diseases, the use of the FAM clinic was associated with improved self-reported dietary behaviors and a nonsignificant improvement in health outcomes and resource utilization.

Prevalence and risk factors of food insecurity among Californians during the COVID-19 pandemic: Disparities by immigration status and ethnicity

The COVID-19 pandemic exacerbated socioeconomic disparities in food insecurity. Non-citizens, who do not qualify for most publicly-funded food assistance programs, may be most vulnerable to food insecurity during the pandemic. However, no study has examined heterogeneity in food insecurity by immigration status and ethnicity in the context of the pandemic. We analyzed the 2020 non-restricted California Health Interview Survey to examine disparities in food insecurity by ethnicity and immigration status (i.e., US-born, naturalized, non-citizen) among Asians and Latinxs (N = 19,514) compared to US-born Whites. Weighted multivariable logistic regression analyses assessed the association of immigration status and ethnicity with food insecurity. Decomposition analyses assessed the extent to which pandemic-related economic stressors, including experiencing reduced work hours or losing a job versus pre-pandemic socioeconomic position (SEP), accounted for disparities in food insecurity by ethnicity and immigration status. Regardless of immigration status, Latinxs were more likely to experience food insecurity than Whites. Based on the adjusted analyses, non-citizen, naturalized, and US-born Latinxs had a predicted probability of 12%, 11.4%, and 11.9% of experiencing food insecurity, respectively. In contrast, non-citizen Asians, but not US-born or naturalized Asians, reported greater food insecurity than Whites (12.5% vs. 8.2%). SEP accounted for 43% to 66% of the relationship between immigration status-ethnicity and food insecurity. The pandemic exacerbated economic hardship, but food insecurity was largely explained by long-standing SEP-related factors among Latinxs, regardless of immigration status, and non-citizen Asians. To address disparities in food insecurity, social assistance programs and COVID-19 economic relief should be extended to non-citizens.

Food insecurity, social needs, and smoking status among patients in a county hospital system

Tobacco use in the U.S. is increasingly concentrated among populations with socioeconomic disadvantages such as food insecurity. Building on prior studies showing that food insecurity increases odds of cigarette smoking, the current study sought to examine how food insecurity and other social needs, particularly financial strain, transportation barriers, and housing/utility insecurity, were associated with smoking status among adult patients seen in a county hospital system. We analyzed data from the electronic health record of patients from The MetroHealth System (Cleveland, Ohio, USA), covering a two-year period since implementation of social determinants of health assessments (2019-2021; N = 45,151 patients). Logistic regression analyses were used to examine associations with smoking status. Compared to the overall smoking prevalence (21 %), smoking was higher among patients screening for transportation barriers (41 %), financial strain (39 %), food insecurity (34 %), and housing/utility insecurity (27 %). Each of these social needs was independently associated with increased odds of current smoking (all p < 0.05). Smoking prevalence increased sequentially as the number of social needs increased; with each addition of a social need, there was a dose-response association with higher odds of current smoking (adjusted ORs ranged from 1.56 to 3.76, all p < 0.001), and current smoking specifically among ever smoking patients (adjusted ORs ranged from 1.39 to 3.01, all p < 0.001). There was substantial overlap among several social needs and smoking status. Alongside improving access to evidence-based cessation treatments and services, the findings raise the possibility that addressing social needs might reduce barriers to quitting and thereby reduce tobacco use disparities.

Food Insecurity and Less Frequent Cooking Dinner at Home Are Associated with Lower Diet Quality in a National Sample of Low-Income Adults in the United States during the Initial Months of the Coronavirus Disease 2019 Pandemic

BACKGROUND

Food insecurity is a critical public health problem in the United States that has been associated with poor diet quality. Cooking dinner more frequently is associated with better diet quality.

OBJECTIVE

This study aimed to examine how food insecurity and dinner cooking frequency are associated with diet quality during the initial months of the coronavirus disease 2019 pandemic.

DESIGN

This cross-sectional study analyzed data from a national web-based survey (June 23 to July 1, 2020).

PARTICIPANTS/SETTING

Participants were 1,739 low-income (<250% of the federal poverty level) adults in the United States.

MAIN OUTCOME MEASURES

The outcome was diet quality, measured by the Prime Diet Quality Score (PDQS-30D). The PDQS-30D is a food frequency questionnaire-based, 22-component diet quality index.

STATISTICAL ANALYSES PERFORMED

Food security status (high, marginal, low, or very low) and frequency of cooking dinner (7, 5 to 6, 3 to 4, or 0 to 2 times/week) were evaluated in relation to PDQS-30D scores (possible range = zero to 126) in age- and sex and gender-, and fully adjusted linear regression models. Postestimation margins were used to predict mean PDQS-30D score by food security status and dinner cooking frequency. The interaction between food security status and frequency of cooking dinner was also tested.

RESULTS

Overall, the mean PDQS-30D score was 51.9 ± 11 points (possible range = zero to 126). The prevalence of food insecurity (low/very low) was 43%, 37% of the sample cooked 7 times/week and 15% cooked 0 to 2 times/week. Lower food security and less frequent cooking dinner were both associated with lower diet quality. Very low food security was associated with a 3.2-point lower PDQS-30D score (95% CI -4.6 to -1.8) compared with those with high food security. Cooking dinner 0 to 2 times/week was associated with a 4.4-point lower PDQS-30D score (95% CI -6.0 to -2.8) compared with cooking 7 times/week. The relationship between food insecurity and diet quality did not differ based on cooking dinner frequency.

CONCLUSIONS

During the initial months of the coronavirus disease 2019 pandemic food insecurity and less frequently cooking dinner at home were both associated with lower diet quality among low-income Americans. More research is needed to identify and address barriers to low-income households' ability to access, afford and prepare enough nutritious food for a healthy diet.

Social Risk Factors Influence Pediatric Emergency Department Utilization and Hospitalizations

OBJECTIVE

To characterize the association of children's social risk factors with total number of emergency department (ED) visits or hospitalization and time to first subsequent ED or hospitalization.

STUDY DESIGN

This was a retrospective cohort study of patients seen at a general pediatric clinic between 2017 and 2021 with documented ≥1 social risk factors screened per visit. Negative binomial or Poisson regression modeled ED utilization and hospitalizations as functions of the total number of risk factors or each unique risk factor. Time-varying Cox models were used to evaluate differences between those who screened positive and those who screened negative, controlling for demographic and clinical covariates.

RESULTS

Overall, 4674 patients (mean age, 6.6 years; 49% female; 64% Hispanic; 21% Black) were evaluated across a total of 20 927 visits. Children with risk factors had higher rates of attention-deficit hyperactivity disorder, failure to gain weight, asthma, and prematurity compared with children with no risk (all P < .01). Adjusted models show a positive association between increased total number of factors and ED utilization (incidence rate ratio [IRR], 1.18; 95% CI, 1.12-1.23) and hospitalizations (IRR, 1.36; 95% CI, 1.26-1.47). There were no associations between a positive screen and time to first ED visit (hazard ratio [HR], 0.95; 95% CI, 0.85-1.06; P = .36) or hospitalization (HR, 1.15; 95% CI, 0.84-1.59; P = .40).

CONCLUSIONS

Social risk factors were associated with increased ED utilization and hospitalizations at the patient level but were not significantly associated with time to subsequent acute care use. Future research should evaluate the effect of focused interventions on health care utilization, such as those addressing food insecurity and transportation challenges.

Strengthening Food and Nutrition Security to Promote Public Health in the United States: A Position Paper From the American College of Physicians

Food insecurity functions as a social driver of health, directly negatively impacting health status and outcomes, which can further negatively impact employment and income and increase medical expenditures-all of which exacerbates food insecurity. Progress in meaningfully reducing the food-insecurity rate has stalled in recent years. Although rates have decreased since their peak during the Great Recession, these gains have been reversed by the economic implications of the COVID-19 pandemic. As the federal government is the largest provider of food assistance, there is much potential in better leveraging nutrition assistance programs like the Supplemental Nutrition Assistance Program (SNAP) and the Child Nutrition Programs to increase access to healthful foods and improve public health. However, these programs face many funding challenges and internal shortcomings that create uncertainties and prevent maximal effect. Physicians and other medical professionals also have a role in improving nutritional health by screening for food insecurity and serving as connectors between patients, community organizations, and government services. Governments and payers must support these efforts by providing sufficient resources to practices to fulfill this role. In this position paper, the American College of Physicians (ACP) offers several policy recommendations to strengthen the federal food-insecurity response and empower physicians and other medical professionals to better address those social drivers of health occurring beyond the office doors.

Food Insecurity and Depression among US Adults: NHANES 2005-2016

A growing body of evidence suggests that food insecurity is associated with adverse mental health outcomes such as depression and anxiety. In this study, the relationship between food insecurity and depression was examined using data from the 2005−2016 National Health and Nutrition Examination Survey (NHANES). Food insecurity was assessed with the 18-item United States Food Security Survey Module with zero affirmative responses indicating high food security, 1 or 2 affirmative responses indicating marginal food security, and ≥3 affirmative responses indicating food insecurity. Depression was assessed with the Patient Health Questionnaire-9 with scores ≥10 indicating depression. Data were analyzed from 28,448 adult participants aged 20 or older. Food insecurity was present in 19.2% of the sample population (n = 5452). Food security status was significantly associated with gender, race, education level, marital status, smoking status, and BMI (Rao-Scott chi-square, p < 0.05). Fully food secure and very low food security adults experienced depression at a rate of 5.1% and 25.8%, respectively (Rao-Scott chi-square, p < 0.0001). Participants with very low food security had a significantly greater odds of depression than food secure adults, OR = 3.50 (95% CI: 2.98, 4.12). These findings suggest that food insecurity is a significant risk factors for depression in US adults over 20 years of age. To address this issue in our citizenry, police initiatives and public health interventions addressing both food access and mental health should be prioritized.

Gestational Diabetes, Subsequent Type 2 Diabetes, and Food Security Status: National Health and Nutrition Examination Survey, 2007-2018

Introduction

Despite many studies linking various risk factors to the association between gestational diabetes and subsequent type 2 diabetes, little is known about how food insecurity affects their association. We aimed to assess how the association between gestational diabetes and subsequent type 2 diabetes varies by food security status among women in the US.

Methods

This study is a secondary data analysis of 9,505 US women aged 20 years or older who had at least 1 live birth; we used cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) from 2007 through 2018. The main outcome was a diagnosis of type 2 diabetes in the subsequent years after the first live birth. We used multivariable survey-weighted negative binomial regressions to examine whether the association between gestational diabetes and subsequent type 2 diabetes differed by food security status, with and without adjusting for health behavior factors.

Results

Gestational diabetes was significantly associated with subsequent type 2 diabetes (incidence rate ratio [IRR], 2.57; 95% CI, 2.45–2.69). The association between gestational diabetes and subsequent type 2 diabetes was significantly different by food security status (IRR, 2.34; 95% CI, 2.23–2.45 among food-secure women; IRR, 2.99; 95% CI, 2.70–3.28 among food-insecure women).

Conclusion

The association between gestational diabetes and subsequent type 2 diabetes differs significantly by food security status. Public health and health care practitioners should consider food security status when designing and implementing diabetes prevention interventions for women with a history of gestational diabetes.

Food Insecurity, Missed Workdays, And Hospitalizations Among Working-Age US Adults With Diabetes

Food insecurity is associated with poor clinical outcomes among adults with diabetes, but associations with nonclinical outcomes, such as missed work, have not been well characterized. Our objective was to assess the associations between food insecurity, health-related missed workdays, and overnight hospitalizations. We pooled National Health Interview Survey data from the period 2011-18 to analyze food insecurity among 13,116 US adults ages 18-65 who had diabetes. Experiencing food insecurity, compared with being food secure, was associated with increased odds of reporting any health-related missed workdays, more than twice the rate of health-related missed workdays, and increased odds of overnight hospitalization within the prior twelve months. There was no significant association between food insecurity and the number of nights spent hospitalized. These findings underscore the broad impacts of food insecurity on health and wellness for working-age adults with diabetes. When weighing the costs and benefits of proposed interventions to address food insecurity, policy makers should consider potential benefits related to productivity in addition to implications for health care use.

Social Relationships, Food Security, Protein Intake, and Hospitalization in Homebound Older Adults: A PATH Analysis

The objective of this study was to measure direct and indirect relationships between food insecurity (FI), protein intake, social relationships, depressive symptoms, and their impact on hospitalization among home-delivered meal (HDM) recipients, compared to controls, using structural equation modeling. The analysis used data from the National Outcomes Evaluation Study (2015-2017) of the OAANSP. HDM recipients' mean usual protein intake was significantly higher than controls, but both groups had mean intakes below recommendations. Eating alone was inversely associated with lower protein intake and greater hospitalizations in controls. FI, prevalent in 25.1% of HDM recipient and 16% of controls, was associated with lower protein intake in both groups. Receiving instrumental social support was directly associated with lesser severity of FI in recipients. and more depressive symptoms only in controls. HDM recipients and controls may be at high risk for protein insufficiency, underscored by high prevalence of FI.

Food insecurity among disabled adults

Background

The relationship between disability and food insecurity is under-researched. Risk of food insecurity may vary by type and number of disabilities. We examine the hypotheses that (i) a higher number of disabilities increases risk of food insecurity and (ii) associations of physical disabilities, mental/cognitive disabilities or a combination of both types with food insecurity may differ in strength.

Methods

Data came from the fifth wave of the UK’s Food Standards Agency’s Food and You survey (2018), which contains detailed information on disability and household food insecurity. We used logistic and multinomial logistic regression to model the number and type of disabilities as predictors for food insecurity outcomes, controlling for socio-demographic factors.

Results

Both type and number of disabilities predicted food insecurity. Every additional disability was associated with higher odds of food insecurity [odds ratio (OR): 1.60, 95% confidence interval (CI): 1.40–1.83]. Among people with a disability, every additional disability was associated with 19% higher odds of food insecurity (OR: 1.19, 95% CI: 1.05–1.34). People with both physical and mental/cognitive disabilities had increased odds of severe food insecurity (OR: 8.97, 95% CI: 3.54–22.7).

Conclusion

Number and type of disabilities are associated with higher risk of food insecurity. A combination of physical and mental/cognitive disabilities, as well as having multiple disabilities are each independently associated with higher risk of food insecurity. Policy-makers may thus consider using targeted and tailored policies to reduce barriers to social and financial inclusion of disabled people to reduce food insecurity.

Financial Hardships Caused by Out-of-Pocket Abortion Costs in Texas, 2018

Objectives. To identify financial hardships related to costs of obtaining abortion care in Texas, which has the highest uninsured rate in the United States and restricts insurance coverage for abortions. Methods. We surveyed patients seeking abortion at 12 Texas clinics in 2018 regarding costs and financial hardships related to abortion care. We compared mean out-of-pocket costs and the percentage reporting hardships across income and insurance categories. Results. Of 603 respondents, 42% were Latinx, 25% White, and 21% Black or African American, and most (62.0%) reported having low incomes (< 200% federal poverty level). Mean out-of-pocket costs were $634, which varied little across insurance groups. Patients with low incomes were more likely to obtain financial assistance from an abortion fund than were wealthier patients (12.3% vs 1.6%, respectively; P < .05). Financial hardships related to abortion costs were more common among uninsured (57.6%) and publicly insured (55.1%) patients than those with private insurance (48.2%). One in 5 (19.8%) uninsured respondents delayed buying food to pay for abortion care. Conclusions. Restrictions on insurance coverage for abortions result in high out-of-pocket costs and major financial hardships for most patients with low incomes in Texas. (Am J Public Health. 2022;112(5):758-761. https://doi.org/10.2105/AJPH.2021.306701).

Association of Unmet Social Needs with Chronic Illness: A Cross-Sectional Study

Screening for social needs during routine medical visits is increasingly common. To date, there are limited data on which social needs are most predictive of health outcomes. The aim of this study is to build a predictive model from integrated social needs screening and health data to identify individual or clusters of social needs that are predictive of chronic illnesses. Using the electronic medical record data from a Federally Qualified Health Center collected from January 2016 to December 2020, demographic, diagnosis, and social needs screening data were used to look at adjusted and unadjusted associations of individual unmet social needs with chronic illnesses (n = 2497). The least absolute shrinkage and selection operator (LASSO) model was used to identify which social need(s) were associated with overall burden of chronic illness, and individual diagnoses of hypertension, obesity, diabetes, and psychiatric illness. The LASSO model identified age, race, language, gender, insurance, transportation, and food insecurity as significant predictors of any chronic illness. Using these variables in a multivariable model, transportation (adjusted odds ratio [aOR] 1.66) was the only social need that remained significantly associated with chronic illness diagnosis. Transportation need was also significantly associated with diabetes (aOR 1.44) and psychiatric illness (aOR 1.98). Food insecurity was associated with obesity (aOR 10.21). Using LASSO models to identify significant social needs, transportation was identified as a predictor in 3 of the 5 models. Further research is warranted to evaluate if addressing patients' transportation needs has the potential to mitigate chronic disease sequelae for vulnerable adults to advance health equity.

Development and assessment of a natural language processing model to identify residential instability in electronic health records' unstructured data: a comparison of 3 integrated healthcare delivery systems

OBJECTIVE

To evaluate whether a natural language processing (NLP) algorithm could be adapted to extract, with acceptable validity, markers of residential instability (ie, homelessness and housing insecurity) from electronic health records (EHRs) of 3 healthcare systems.

MATERIALS AND METHODS

We included patients 18 years and older who received care at 1 of 3 healthcare systems from 2016 through 2020 and had at least 1 free-text note in the EHR during this period. We conducted the study independently; the NLP algorithm logic and method of validity assessment were identical across sites. The approach to the development of the gold standard for assessment of validity differed across sites. Using the EntityRuler module of spaCy 2.3 Python toolkit, we created a rule-based NLP system made up of expert-developed patterns indicating residential instability at the lead site and enriched the NLP system using insight gained from its application at the other 2 sites. We adapted the algorithm at each site then validated the algorithm using a split-sample approach. We assessed the performance of the algorithm by measures of positive predictive value (precision), sensitivity (recall), and specificity.

RESULTS

The NLP algorithm performed with moderate precision (0.45, 0.73, and 1.0) at 3 sites. The sensitivity and specificity of the NLP algorithm varied across 3 sites (sensitivity: 0.68, 0.85, and 0.96; specificity: 0.69, 0.89, and 1.0).

DISCUSSION

The performance of this NLP algorithm to identify residential instability in 3 different healthcare systems suggests the algorithm is generally valid and applicable in other healthcare systems with similar EHRs.

CONCLUSION

The NLP approach developed in this project is adaptable and can be modified to extract types of social needs other than residential instability from EHRs across different healthcare systems.

Food Security Impacts of the COVID-19 Pandemic: Longitudinal Evidence from a Cohort of Adults in Vermont during the First Year

This study assessed changes in household food insecurity throughout the first year of the COVID-19 pandemic in a cohort of adults in the state of Vermont, USA, and examined the socio-demographic characteristics associated with increased odds of experiencing food insecurity during the pandemic. We conducted three online surveys between March 2020 and March 2021 to collect longitudinal data on food security, use of food assistance programs, and job disruptions during the COVID-19 pandemic. Food security was measured using the USDA six-item module. Among the 441 respondents, food insecurity rates increased significantly during the pandemic and remained above pre-pandemic levels a year after the start of the pandemic. Nearly a third (31.6%) of respondents experienced food insecurity at some point during the first year of the pandemic, with 53.1% of food-insecure households being classified as newly food-insecure. The odds of experiencing food insecurity during the pandemic varied based on socio-demographic factors. Households with children (OR 5.5, 95% CI 1.782−16.936, p < 0.01), women (OR 8.1, 95% CI 1.777−36.647, p < 0.05), BIPOC/Hispanic respondents (OR 11.8, 95% CI 1.615−85.805, p < 0.05), and households experiencing a job disruption (OR 5.0, 95% CI 1.583−16.005, p <0.01) had significantly higher odds of experiencing food insecurity during the first year of the COVID-19 pandemic, while respondents with a college degree (OR 0.08; 95% CI 0.025−0.246; p < 0.001) and household income of ≥USD 50,000 (OR 0.01; 95% CI 0.003−0.038; p < 0.001) had lower odds of experiencing food insecurity. These findings indicate that food insecurity continued to be a significant challenge one year after the start of the pandemic, which is important, given the adverse health impacts associated with food insecurity and health disparities among certain socio-demographic groups.

Food insecurity and oral health care experiences during pregnancy: Findings from the Pregnancy Risk Assessment Monitoring System

BACKGROUND

Food insecurity has emerged as a salient risk factor for poor oral health in adult populations. A separate area of research also details that both poor oral health and food insecurity during pregnancy can have adverse consequences for maternal and infant well-being. The authors examine the connection between food insecurity and women's oral health care experiences during pregnancy.

METHODS

Data from 2016 through 2019 came from the Pregnancy Risk Assessment Monitoring System (N = 21,080). Multivariable logistic regression analyses were used to assess the association between food insecurity and 6 indicators of oral health care experiences during pregnancy.

RESULTS

Food-insecure women reported worse oral health care experiences during pregnancy, including being more likely to need to see a dentist for a problem, going to see a dentist for a problem, not receiving dental prophylaxis, not talking with an oral health care provider about dental health, not knowing it was important to care for teeth, and having unmet oral health care needs.

CONCLUSIONS

Food-insecure women exhibit worse overall oral health outcomes and unmet oral health care needs during pregnancy.

PRACTICAL IMPLICATIONS

Considering the risk that both food insecurity and oral health problems pose for maternal and infant health, interventions that can reduce food insecurity and improve oral health and oral health care access among pregnant women are important steps in promoting greater health equity.

A community partnership to evaluate the feasibility of addressing food insecurity among adult patients in an urban healthcare system

BACKGROUND

Food insecurity (FI) is a significant public health problem. Possible sequelae of prolonged food insecurity include kidney disease, obesity, and diabetes. Our objective was to assess the feasibility of a partnership between Henry Ford Health System (HFHS) and Gleaners Community Foodbank of Southeastern Michigan to implement and evaluate a food supplementation intervention initiated in a hospital outpatient clinic setting.

METHODS

We established a protocol for using the Hunger Vital Signs to screen HFHS internal medicine patients for food insecurity and established the data sharing infrastructure and agreements necessary for an HFHS-Gleaners partnership that would allow home delivery of food to consenting patients. We evaluated the food supplementation program using a quasi-experimental design and constructing a historical comparison group using the electronic medical record. Patients identified as food insecure through screening were enrolled in the program and received food supplementation twice per month for a total of 12 months, mostly by home delivery. The feasibility outcomes included successful clinic-based screening and enrollment and successful food delivery to consenting patients. Our evaluation compared healthcare utilization between the intervention and historical comparison group during a 12-month observation period using a difference-in-differences (DID) analysis.

RESULTS

Of 1691 patients screened, 353 patients (20.9%) met the criteria for FI, of which 340/353 (96.3%) consented, and 256/340 (75.3%) were matched and had data sufficient for analysis. Food deliveries were successfully made to 89.9% of participant households. At follow-up, the intervention group showed greater reductions in emergency department visits than the comparison group, -41.5% and -25.3% reduction, respectively. Similar results were observed for hospitalizations, -55.9% and -17.6% reduction for intervention and control groups, respectively. DID regression analysis also showed lower trends in ED visits and hospitalizations for the intervention group compared to the comparison group.

CONCLUSIONS

Results suggest that community-health system partnerships to address patient-reported food insecurity are feasible and potentially could reduce healthcare utilization in these patients. A larger, randomized trial may be the next step in fully evaluating this intervention, perhaps with more outcomes (e.g., medication adherence), and additional covariates (e.g., housing insecurity and financial strain).

The Balance Between Food and Medical Care: Experiences of Food Insecurity Among Cancer Survivors and Informal Caregivers

Defined as an inability to acquire enough food because of insufficient money or other resources, the prevalence of food insecurity is markedly higher among cancer survivors than the general population. The objective of this qualitative study was to understand and characterize the experience of food insecurity from the perspective of cancer survivors' and their informal caregivers using qualitative interviews. Barriers to healthy eating, behaviors and strategies in times of food shortage, and unmet educational needs shaped the experience of food insecurity. These experiences and insights for addressing food insecurity in oncology practice have broad implications for future interventions.

Food for thought: Can community pharmacists help patients living in food deserts?

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.

Classification Differences in Food Insecurity Measures between the United States and Canada: Practical Implications for Trend Monitoring and Health Research

BACKGROUND

Food insecurity, inadequate access to food due to financial constraints, is a major public health issue in the United States and Canada, where the same 18-item questionnaire is used to monitor food insecurity. Researchers often assume that findings on food insecurity from the 2 countries are comparable with each other, but there are between-country differences in how food insecurity status is determined.

OBJECTIVES

We aimed to compare the distribution of household food insecurity in the Canadian population applying the US and Canadian classification schemes. We also examined the extent to which associations between food insecurity and adults' health differ under the 2 schemes.

METHODS

We used the population-representative Canadian Community Health Survey 2005-2017 linked to administrative health records. Food insecurity was measured by the Household Food Security Survey Module. Adults 18 y and older with valid food insecurity status were included from all jurisdictions except Quebec (n = 403,200). We cross-tabulated food insecurity status classified by the US and Canadian schemes. We also fitted logistic regressions on self-reported and objective health measures adjusting for confounders.

RESULTS

Applying the Canadian classification scheme, 7.7% of households were food insecure; the number fell to 6.0% with the US scheme. Associations between food insecurity status and health measures were mostly similar across classification schemes, although the associations between food insecurity and self-reported health were slightly larger if the US scheme was applied. Marginal food security/insecurity was associated with worse health measures irrespective of the classification scheme. United States-Canada discordance in classification of marginal food security/insecurity had a limited effect on health prediction.

CONCLUSIONS

United States-Canada differences in classification affected the apparent distribution of household food insecurity but not the associations between food insecurity and measures of adult health. Marginal food security/insecurity should be set apart from the food-secure group for trend monitoring and health research.

Beyond the clinical walls: registered dietitian nutritionists providing medical nutrition therapy in the home setting

BACKGROUD/OBJECTIVES

Registered dietitian nutritionists (RDN) are providers of medical nutrition therapy (MNT) to address health and chronic disease. Traditionally, RDNs have provided care in healthcare facilities including hospitals and private care facilities. The purpose of this study was to determine how RDN individualized MNT in the home impacted nutrition, physical activity, and food security.

SUBJECTS/METHODS

This is a secondary data analysis. The mean age of the participants (n = 1,007) was 51.6 years old with a mean body mass index (BMI) of 34.1 kg/m². Individualized MNT visits were delivered by an RDN in the home setting from January to December 2019. Participants were referred by healthcare professionals or self-referred. Participants had MNT benefits covered by their health insurance plan (43.3% Medicaid; 39.8% private insurance; 7.9% Medicare, 9% other). Health outcomes related to nutrition care were measured. Outcomes included self-reported consumption of nutrition factors and physical activity. Our secondary outcome focused on food security. The changes in weight, BMI, physical activity, and nutrition factors were analyzed by a linear regression model or linear mixed model, adjusting for age, sex, baseline value, and number of appointments. Food security was summarized in a 2 by 2 contingency table.

RESULTS

Baseline values had significantly negative impacts for all changes and number of appointments was significant in the changes for weight and BMI. Increases in physical activity were significant for both female and male participants, 10.4 and 12.6 minutes per day, respectively, while the changes in weight and BMI were not. Regarding dietary factors, the consumption total servings per day of vegetables (0.13) and water (3.35) significantly increased, while the consumption of total servings of whole grain (−0.27), fruit (−0.32), dairy (−0.80) and fish (−0.81) significantly decreased. About 24% (of overall population) and 45% (of Medicaid population) reported improvements in food security.

CONCLUSIONS

This study found that home visits were a useful setting for MNT delivered by RDNs. There is a strong need for individualized counseling to meet the participants' needs and personal goals.

Supplemental Nutrition Assistance Program Participation and Health Care Use in Older Adults : A Cohort Study

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.

Expanding the limits of sex: a systematic review concerning food and nutrition in transgender populations

OBJECTIVE

To examine the literature and identify main themes, methods and results of studies concerning food and nutrition addressed in research on transgender populations.

DESIGN

A systematic review conducted through July 2020 in the MedLine/PubMed, Scopus and Web of Science databases.

RESULTS

Of the 778 studies identified in the databases, we selected thirty-seven. The studies were recent, most of them published after 2015, being produced in Global North countries. The most often used study design was cross-sectional; the least frequently used study design was ethnographic. Body image and weight control were predominant themes (n 25), followed by food and nutrition security (n 5), nutritional status (n 5), nutritional health assistance (n 1) and emic visions of healthy eating (n 1).

CONCLUSIONS

The transgender community presents body, food and nutritional relationships traversed by its unique gender experience, which challenges dietary and nutritional recommendations based on the traditional division by sex (male and female). We need to complete the lacking research and understand contexts in the Global South, strategically investing in exploratory-ethnographic research, to develop categories of analysis and recommendations that consider the transgender experience.

The Nutrition-COVID-19 Interplay: a Review

Purpose of Review

Nutritional status is affected by the COVID-19 pandemic, directly or indirectly. Even with the recent rollout of the coronavirus disease 2019 (COVID-19) vaccines and availability of medicines such as remdesivir, and monoclonal antibodies, host nutritional status is pivotal in the fight against the acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and outcomes. The purpose of this review is to discuss the effects of COVID-19-related lockdown on lifestyle behaviors, and the nutritional consequences, and the direct sequelae of the infection on nutrition including potential nutritional interventions.

Recent Findings

The COVID-19-related lockdown imposed radical changes in lifestyle behaviors with considerable short-term and long-term health and nutritional consequences including weight gain and obesity and increased cardiometabolic risk, consistently linked to worsened prognosis. The extent of the impact was dependent on food insecurity, overall stress and disordered eating, physical inactivity, and exposure to COVID-19-related nutrition information sources. COVID-19 could directly induce inflammatory responses and poor nutrient intake and absorption leading to undernutrition with micronutrient deficiencies, which impairs immune system function with subsequent amplified risk of infection and disease severity. Nutrition interventions through nutrition support, dietary supplementation, and home remedies such as use of zinc, selenium, vitamin D, and omega-3 fatty acids showed the most significant promise to mitigate the course of COVID-19 infection and improve survival rates.

Summary

The nutrition-COVID-19 relationship and related dietary changes mimic a vicious cycle of the double burden of malnutrition, both obesity and undernutrition with micronutrient deficiencies, which promote infection, disease progression, and potential death.

Accelerating Evaluation of Financial Incentives for Fruits and Vegetables: A Case for Shared Measures

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.

Risk Factors for Veteran Food Insecurity: Findings from a National US Department of Veterans Affairs Food Insecurity Screener

Objective:

Food insecurity is associated with numerous adverse health outcomes. The US Veterans Health Administration (VHA) began universal food insecurity screening in 2017. This study examined prevalence and correlates of food insecurity among Veterans screened.

Design:

Retrospective cross-sectional study using VHA administrative data. Multivariable logistic regression models were estimated to identify sociodemographic and medical characteristics associated with a positive food insecurity screen.

Setting:

All US Veterans Administration (VA) medical centres (n 161). Participants: All Veterans were screened for food insecurity since screening initiation (July 2017–December 2018).

Results:

Of 3 304 702 Veterans screened for food insecurity, 44 298 were positive on their initial screen (1·3 % of men; 2·0 % of women). Food insecurity was associated with identifying as non-Hispanic Black or Hispanic. Veterans who were non-married/partnered, low-income Veterans without VA disability-related compensation and those with housing instability had higher odds of food insecurity, as did Veterans with a BMI < 18·5, diabetes, depression and post-traumatic stress disorder. Prior military sexual trauma (MST) was associated with food insecurity among both men and women. Women screening positive, however, were eight times more likely than men to have experienced MST (48·9 % v. 5·9 %).

Conclusions:

Food insecurity was associated with medical and trauma-related comorbidities as well as unmet social needs including housing instability. Additionally, Veterans of colour and women were at higher risk for food insecurity. Findings can inform development of tailored interventions to address food insecurity such as more frequent screening among high-risk populations, onsite support applying for federal food assistance programs and formal partnerships with community-based resources.

Using malnutrition and food insecurity screening to identify broader health-related social needs amongst older adults receiving emergency department care in the Southeastern United States: A cross-sectional study

Unmet health-related social needs are common amongst older US adults and impact both quality of life and health outcomes. One of the ways that unmet health-related social needs impact health is through malnutrition, an imbalance in a person's intake of energy and/or nutrients. Lack of reliable access to a sufficient quantity of nutritious food is a specific health-related social need that can be assessed rapidly and, when unmet, is a direct risk factor for malnutrition and may be indicative of a broader range of unmet health-related social needs. We conducted a cross-sectional study to characterise malnutrition and food insecurity amongst older adults receiving emergency department (ED) care using brief, validated measures and to assess the burden of a broader range of health-related social needs amongst these patients. Patients were asked about their need for and willingness to receive a range of social services. The study was conducted in an academic ED serving a racially and socioeconomically diverse population in the Southeastern United States. A convenience sample of noncritically ill adults aged 60 years and older was approached between November 2018 and April 2019. Study patients (n = 127) were predominantly non-Hispanic white (67%), community dwelling (91%) and urban residents (66%) with 28% screening positive for malnutrition risk, 16% for food insecurity and 5% for both. Of those at risk for malnutrition, 25 (69%) reported ≥2 unmet health-related social needs and 14 (38%) were receptive to social services. Amongst food insecure patients, 18 (90%) reported additional unmet health-related social needs and 13 (65%) were receptive to receiving social services. In conclusion, a brief set of questions can identify subgroups of older ED patients who are food insecure or at risk for malnutrition. Individuals who screen positive for food insecurity have a high burden of unmet health-related social needs.

Prevalence and Factors Associated with Food Insecurity among Older Adults in Sub-Saharan Africa: A Systematic Review

Food insecurity has been undermining the health and well-being of a growing number of older adults in Sub-Saharan Africa. This review aimed to examine the prevalence of food insecurity and the related contributing factors of food insecurity among older adults in Sub-Saharan Africa. We used PubMed, Scopus, ScienceDirect, and Web of Science Core Collection as our search engines and included 22 articles for data extraction. Prevalence of severe and moderate food insecurity in households with older adults ranged from 6.0 to 87.3% and from 8.3 to 48.5%, respectively. Various socio-economic (e.g., low education level, being widowed, low income, lower wealth position of households, living in a rental house, living in rural areas, lack of social grants or pensions), demographic (e.g., female, Black racial group, larger family size), and health and nutrition status-related (e.g., self-reported poor health status, having a functional and mobility-related disability, psychological disorders) factors influence food insecurity in older adults in Sub-Saharan Africa. The findings of this review can help stakeholders to prioritize the issue of food insecurity, design and implement policies and programs to improve food security among older adults in Sub-Saharan Africa.

Scaling up measurement to confront food insecurity in the USA

It is necessary to scale up measurement in order to confront the persisting problem of food insecurity in the United States (USA). The causes and consequences around food insecurity are briefly described in order to frame the complexity of the public health issue and demonstrate need for expanded measurement approaches. We assert that measurement of food security in the USA is currently based upon a core set of rigorous metrics and, moving forward, should also constitute a supplemental registry of measures to monitor and address variables that are associated with increased risk for food insecurity. Next, we depict dietary quality as a primary example of the power of measurement to make significant progress in our understanding and management of food insecurity. Finally, we discuss the translational implications in behavioral medicine required to make progress on achieving food security for all in the USA.

Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States

Background

Atherosclerotic cardiovascular disease (ASCVD) results in high out‐of‐pocket healthcare expenditures predisposing to food insecurity. However, the burden and determinants of food insecurity in this population are unknown.

Methods and Results

Using 2013 to 2018 National Health Interview Survey data, we evaluated the prevalence and sociodemographic determinants of food insecurity among adults with ASCVD in the United States. ASCVD was defined as self‐reported diagnosis of coronary heart disease or stroke. Food security was measured using the 10‐item US Adult Food Security Survey Module. Of the 190 113 study participants aged 18 years or older, 18 442 (adjusted prevalence 8.2%) had ASCVD, representing ≈20 million US adults annually. Among adults with ASCVD, 2968 or 14.6% (weighted ≈2.9 million US adults annually) reported food insecurity compared with 9.1% among those without ASCVD (P<0.001). Individuals with ASCVD who were younger (odds ratio [OR], 4.0 [95% CI, 2.8–5.8]), women (OR, 1.2 [1.0–1.3]), non‐Hispanic Black (OR, 2.3 [1.9–2.8]), or Hispanic (OR, 1.6 [1.2–2.0]), had private (OR, 1.8 [1.4–2.3]) or no insurance (OR, 2.3 [1.7–3.1]), were divorced/widowed/separated (OR, 1.2 [1.0–1.4]), and had low family income (OR, 4.7 [4.0–5.6]) were more likely to be food insecure. Among those with ASCVD and 6 of these high‐risk characteristics, 53.7% reported food insecurity and they had 36‐times (OR, 36.2 [22.6–57.9]) higher odds of being food insecure compared with those with ≤1 high‐risk characteristic.

Conclusion

About 1 in 7 US adults with ASCVD experience food insecurity, with more than 1 in 2 adults reporting food insecurity among the most vulnerable sociodemographic subgroups. There is an urgent need to address the barriers related to food security in this population.

Correlates of Transitions in Food Insecurity Status during the Early Stages of the COVID-19 Pandemic among Ethnically Diverse Households in Central Texas

Food insecurity increased substantially in the USA during the early stages of the 2020 COVID-19 pandemic. The purpose of this study was to identify potential sociodemographic and food access-related factors that were associated with continuing or transitioning into food insecurity in a diverse population. An electronic survey was completed by 367 households living in low-income communities in Central Texas during June-July 2020. Multinomial logistic regression models were developed to examine the associations among food insecurity transitions during COVID-19 and various sociodemographic and food access-related factors, including race/ethnicity, children in the household, loss of employment/wages, language, and issues with food availability, accessibility, affordability, and stability during the pandemic. Sociodemographic and food access-related factors associated with staying or becoming newly food insecure were similar but not identical. Having children in the household, changes in employment/wages, changing shopping location due to food availability, accessibility and/or affordability issues, issues with food availability, and stability of food supply were associated with becoming newly food insecure and staying food insecure during the pandemic. Identifying as Latino and/or Black was associated with staying food insecure during COVID-19. These findings suggest that the COVID-19 pandemic did not create new food insecurity disparities. Rather, the pandemic exacerbated pre-existing disparities.

The Supply of Calories, Proteins, and Fats in Low-Income Countries: A Four-Decade Retrospective Study

Over the past decades, both the quantity and quality of food supply for millions of people have improved substantially in the course of economic growth across the developing world. However, the number of undernourished people has resumed growth in the 2010s amid food supply disruptions, economic slowdowns, and protectionist restrictions to agricultural trade. Having been common to most nations, these challenges to the food security status of the population still vary depending on the level of economic development and national income of individual countries. In order to explore the long-run determinants of food supply transformations, this study employs five-stage multiple regression analysis to identify the strengths and directions of effects of agricultural production parameters, income level, price indices, food trade, and currency exchange on supply of calories, proteins, and fats across 11 groups of agricultural products in 1980-2018. To address the diversity of effects across developing nations, the study includes 99 countries of Asia, Europe, Latin America, the Middle East, and Africa categorized as low-income, lower-middle-income, and upper-middle-income economies. It is found that in low-income countries, food supply parameters are more strongly affected by production factors compared to economic and trade variables. The effect of economic factors on the food supply of higher-value food products, such as meat and dairy products, fruit, and vegetables, increases with the rise in the level of income, but it stays marginal for staples in all three groups of countries. The influence of trade factors on food supply is stronger compared to production and economic parameters in import-dependent economies irrelevant of the gross national income per capita. The approach presented in this paper contributes to the research on how food supply patterns and their determinants evolve in the course of economic transformations in low-income countries.

Food Insecurity and its Impact on Body Weight, Type 2 Diabetes, Cardiovascular Disease, and Mental Health

Purpose of Review

Food insecurity (FI) is a serious public health issue affecting 2 billion people worldwide. FI is associated with increased risk for multiple chronic diseases, including obesity, type 2 diabetes, cardiovascular disease, and mental health. We selected these four chronic diseases given their global prevalence and comorbid associations with each other. We evaluated the most recent literature published over the past 5 years and offer strategies for the screening of FI.

Recent Findings

Recent systematic reviews and meta-analyses report an association between FI and obesity in adult women as well as adult men and women living in low- and middle-income countries. Gender differences also were observed between FI and type 2 diabetes, such that adult women showed an increased risk for type 2 diabetes. This association was influenced by social determinants of health. Very low food security (i.e., high FI) was associated with increased risk for cardiovascular disease and a higher risk for cardiovascular disease mortality. Finally, several studies showed an association between FI and adverse mental health outcomes, including increased risk for stress, depression, anxiety, sleep disorders, and suicidal ideation.

Summary

FI and its negative association with body weight, type 2 diabetes, cardiovascular disease, and mental health provide a compelling rationale for identification of FI in clinical settings. Brief, well-validated screening measures are available in multiple languages. Despite the need for FI screening, many guidelines do not address its implementation. For this reason, more research and targeted interventions are needed to increase FI screening rates and close the loop in the coordination of resources.

Association between Food Insecurity, Mental Health, and Intentions to Leave the US Army in a Cross-Sectional Sample of US Soldiers

BACKGROUND

Previous research has demonstrated that certain groups in the United States are at a greater risk for food insecurity. However, food insecurity has not been sufficiently characterized in active duty military populations.

OBJECTIVES

The primary objective of this study was to determine the prevalence of marginal food insecurity at a large US Army installation. The secondary objective was to determine how marginal food insecurity may be associated with intentions to leave the US Army after the current service period ("intentions to leave").

METHODS

A cross-sectional, online survey was administered by the US Army Public Health Center at an Army installation in 2019 (n = 5677). The main predictor was the 2-item food insecurity screener (Hunger Vital Signs), and the main outcome was a 5-point Likert question, "How likely are you to leave the army after your current enlistment/service period?" that was dichotomized for this analysis. Multiple logistic regression was used to assess the association between marginal food insecurity and intentions to leave. Mental health covariates were analyzed as a potential mediator.

RESULTS

The sample was primarily male (83%), age <25 y (49%), and White (56%). One-third of respondents were classified as marginally food insecure using the Hunger Vital Signs, and 52% had intentions to leave. There was no significant association between marginal food insecurity and intentions to leave in the composite multivariable model, but mediation analyses revealed that food insecurity was significantly and independently associated with anxiety, depression, and suicidal ideation, which was in turn associated with intentions to leave.

CONCLUSIONS

The association between marginal food insecurity and mental health showed that addressing food insecurity could improve mental health and subsequently reduce intentions to leave. Solutions to reduce military food hardship include expanding Supplemental Nutrition Assistance Program eligibility requirements, improving food resources communication, and expanding healthy food choices on-post.

Participant Perceptions of a Free Fresh Produce Market at a Health Center

OBJECTIVE

To examine participant perceptions of a free, monthly produce market at a health center in Massachusetts.

DESIGN

Participants were recruited at a produce market between June 2019 and January 2020 and engaged in a 30-65-minute focus group (n = 3 English language; n = 2 Spanish; n = 2 Arabic) conducted by trained facilitators using a semistructured guide.

PARTICIPANTS

Adults (n = 49) who had attended the market at least twice in the previous 6 months.

MAIN OUTCOME MEASURES

Participant-reported facilitators, barriers, perceived benefits, and opportunities for improvement.

ANALYSIS

Conventional content analysis.

RESULTS

Reported facilitators included accessibility (eg, convenient location and timing), program experience (eg, positive volunteer interactions), and characteristics of goods and services (eg, acceptable variety of produce). Barriers fell under similar themes and included transportation challenges, poor weather, and insufficient quantity of produce for larger households. Participants perceived the market as improving diet and finances and offered suggestions for improvement: distributing nonproduce foods (eg, meat) or nonfood items (eg, toiletries) and augmenting existing initiatives aimed to help attendees make use of the produce (eg, handing out recipe cards).

CONCLUSIONS AND IMPLICATIONS

The produce market was widely accepted, and targeted areas for improvement were identified. Findings may improve existing and future charitable produce markets among diverse populations.

Caloric Restriction and Cardiovascular Health: the Good, the Bad, and the Renin-Angiotensin System

Much excitement exists over the cardioprotective and life-extending effects of caloric restriction (CR). This review integrates population studies with experimental animal research to address the positive and negative impact of mild and severe CR on cardiovascular physiology and pathophysiology, with a particular focus on the renin-angiotensin system (RAS). We also highlight the gaps in knowledge and areas ripe for future physiological research.

Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States

Background

Financial toxicity (FT) is a well-established side-effect of the high costs associated with cancer care. In recent years, studies have suggested that a significant proportion of those with atherosclerotic cardiovascular disease (ASCVD) experience FT and its consequences.

Objectives

This study aimed to compare FT for individuals with neither ASCVD nor cancer, ASCVD only, cancer only, and both ASCVD and cancer.

Methods

From the National Health Interview Survey, we identified adults with self-reported ASCVD and/or cancer between 2013 and 2018, stratifying results by nonelderly (age <65 years) and elderly (age ≥65 years). We defined FT if any of the following were present: any difficulty paying medical bills, high financial distress, cost-related medication nonadherence, food insecurity, and/or foregone/delayed care due to cost.

Results

The prevalence of FT was higher among those with ASCVD when compared with cancer (54% vs. 41%; p < 0.001). When studying the individual components of FT, in adjusted analyses, those with ASCVD had higher odds of any difficulty paying medical bills (odds ratio [OR]: 1.22; 95% confidence interval [CI]: 1.09 to 1.36), inability to pay bills (OR: 1.25; 95% CI: 1.04 to 1.50), cost-related medication nonadherence (OR: 1.28; 95% CI: 1.08 to 1.51), food insecurity (OR: 1.39; 95% CI: 1.17 to 1.64), and foregone/delayed care due to cost (OR: 1.17; 95% CI: 1.01 to 1.36). The presence of ≥3 of these factors was significantly higher among those with ASCVD and those with both ASCVD and cancer when compared with those with cancer (23% vs. 30% vs. 13%, respectively; p < 0.001). These results remained similar in the elderly population.

Conclusions

Our study highlights that FT is greater among patients with ASCVD compared with those with cancer, with the highest burden among those with both conditions.

Food insecurity, food-related characteristics and behaviors, and fruit and vegetable intake in mobile market customers

Mobile markets (MM) bring affordable, quality, healthy foods to high-need, low-food access communities. However, little is known about food insecurity of MM customers. This manuscript evaluates food insecurity prevalence in MM customers and assesses associations between food insecurity and MM use, food-related characteristics and behaviors, and fruit and vegetable (FV) intake. Customers (N = 302) completed cross-sectional surveys in summer 2019 that assessed: food security, food availability, cooking attitude, self-efficacy for healthy cooking, self-efficacy for cooking and eating FV, social connectedness, and FV intake. Descriptive and multivariate analyses were used to describe and assess associations with food insecurity and FV intake. Results show most MM customers were food insecure (85%). In logistic regression models adjusted for sociodemographic characteristics, long-term MM use (OR = 0.77, CI = 0.60-0.997), access to affordable, quality foods (OR = 0.81, CI = 0.71-0.93), and self-efficacy for both cooking healthy foods (OR = 0.88, CI = 0.80-0.97) and cooking and eating FV (OR = 0.90, CI = 0.82-0.98) were associated with lower odds of food insecurity; negative cooking attitudes (OR = 1.12, CI = 1.02-1.24) were associated with higher odds of food insecurity. Being food insecure (β = -1.37, SE=0.43, p < 0.01) was associated with poorer FV intake; this association attenuated slightly (β = -1.22, SE=0.43, p < 0.01) when length of MM use was added to the general linear model, which was also associated with higher fruit and vegetable intake (β = 0.26, SE=0.10, p = 0.01). Results suggest the MM reaches customers experiencing high levels of food insecurity and long-term MM use is associated with lower food insecurity and higher FV intake. Relationships between food insecurity and several food characteristics/behaviors provide insight for potential targets for wrap-around interventions to address food insecurity among customers. Findings suggest longitudinal evaluation of the MM's impact on food security and other food-related characteristics/behaviors is warranted.

Spatial analysis of food security in Iran: associated factors and governmental support policies

This study analyzes caloric intake in Iran as a proxy for food security to determine factors associated with caloric intake that could be impacted by policies. We modeled regional heterogeneity by analyzing a complete countrywide dataset disaggregated for rural intra-provincial areas using unique data from the Iranian Statistical Centre for 2007-2016. We applied logistic regression modeling and likelihood ratio tests to assess the association between socio-economic determinants and caloric intake among rural areas of all provinces. National policies (nation-wide food subsidies and a cash equivalent for food for each adult regardless of residence or income) had significant negative associations with caloric intake among all provinces. The detected spatial diversity suggests policies specific to each area could be more effective than a centralized national policy for food security. Rather than implementing one-size-fits-all policies, such as across-the-board cash food subsidies, the government should take a differential spatially targeted approach to directly support low-income households.

Association between Food Insecurity and Health-Related Quality of Life: a Nationally Representative Survey

BACKGROUND

Food insecurity, limited or uncertain access to enough food for an active, healthy life, affected over 37 million Americans in 2018. Food insecurity is likely to be associated with worse health-related quality of life (HRQoL), but this association has not been measured with validated instruments in nationally representative samples. Given growing interest understanding food insecurity's role in health outcomes, it would be useful to learn what HRQoL measures best capture the experience of those with food insecurity.

OBJECTIVE

To determine the association between food insecurity and several validated HRQoL instruments in US adults.

DESIGN

Cross-sectional.

PARTICIPANTS

US adults (age ≥ 18), weighted to be nationally representative.

MAIN MEASURES

Food insecurity was assessed with three items derived from the USDA Household Food Security Survey Module. HRQoL was assessed using PROMIS-Preference (PROPr), which contains 7 PROMIS domains, self-rated health (SRH), Euroqol-5D-5L (EQ-5D), Health Utilities Index (HUI), and Short Form-6D (SF-6D).

KEY RESULTS

In December 2017, 4142 individuals completed at least part of the survey (31% response rate), of whom 4060 (98.0%) reported food security information. Of survey respondents, 51.7% were women, 12.5% self-identified as black, 15.8% were Hispanic, and 11.0% did not have a high school diploma. 14.1% of respondents reported food insecurity. In adjusted analyses, food insecurity was associated with worse HRQoL across all instruments and PROMIS domains (p < .0001 for all). The magnitude of the difference between food-insecure and food-secure participants was largest with the SF-6D, EQ-5D, and PROPr; among individual PROMIS domain scores, the largest difference was for ability to participate in social roles.

CONCLUSIONS

Food insecurity is strongly associated with worse HRQoL, with differences between food-secure and food-insecure individuals best measured using the SF-6D, EQ-5D, and PROPr. Future work should develop a specific instrument to measure changes in HRQoL in food insecurity interventions.

Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

INTRODUCTION

Household food insecurity (FI) is defined as limited or uncertain access to nutritionally adequate and safe food or limited ability to obtain foods in socially acceptable ways has become a global issue in recent decades.

METHODS

This cross-sectional study was conducted in Kerman, southeast of Iran in 2019, covering 559 marginalised households. United States Department of Agriculture food security measure was used for data collection. Finally, data were analysed using t-test, χ ² , Mann-Whitney tests and logistic regression.

RESULTS

The prevalence of FI was 82% among slums households. The most important experience of FI in households was reliance on low-cost foods. There was a significant relationship between slums FI and gender of head of household, household size, household income, household education level and marital status (p ˂ 0.05). According to the results of the multivariate regression the variables of education, household income level and household size significantly determined FI (p ˂ 0.05).

CONCLUSION

The most important determinant of FI was low socioeconomic status (income, education, household size). Hence, public policies targeting socioeconomic factors should be made to improve the socioeconomic status of slum dwellers.

Buying Health For North Carolinians: Addressing Nonmedical Drivers Of Health At Scale

Since 2017 the North Carolina Department of Health and Human Services has asked how its resources could be optimized to buy health, not only health care. This has led the department to incorporate whole-person care into all of its priorities, including building a statewide infrastructure and implementing incentives to address nonmedical drivers of health-focusing on food, housing, transportation, employment, and interpersonal safety/toxic stress. This article describes four interconnected initiatives that the department has implemented or is implementing to begin integrating medical and nonmedical drivers of health. This multifaceted effort involves many partners and includes financial incentives for commercial payers, Medicare, and Medicaid that are aligned with whole-person care; a standardized screening process to identify people with unmet social resource needs across all populations; NCCARE360, the first statewide network linking health care and human services providers to one another with a shared technology platform; and a large-scale Medicaid pilot to evaluate the impact of nonmedical health interventions on health outcomes and health care costs. North Carolina's interconnected initiatives can help inform efforts around the US and generate needed evidence on how to implement systems through public-private partnerships to address nonmedical drivers of health at scale.

Strengthening the Public Health Impacts of the Supplemental Nutrition Assistance Program Through Policy

The US Department of Agriculture (USDA) Supplemental Nutrition Assistance Program (SNAP) is the cornerstone of the US nutrition safety net. Each month, SNAP provides assistance to 40 million low-income Americans-nearly half of them children. A number of changes could strengthen the public health impacts of SNAP. This review first presents a framework describing the mechanisms through which SNAP policy can influence public health, particularly by affecting the food security, the diet quality, and, subsequently, the health of SNAP participants. We then discusspolicy opportunities with the greatest potential to strengthen the public health impacts of SNAP, organized into three areas: (a) food production and distribution, (b) benefit allocation, and (c) eligibility and enrollment. For each section, we describe current policy and limitations of the status quo, suggest evidence-based opportunities for policy change to improve public health, and identify important areas for future research.