Chronic disease self-management within the monthly benefit cycle of the Supplemental Nutrition Assistance Program

Exploring Sociodemographic and Chronic Disease Factors Associated With Chronic, Seasonal, Intramonthly, and Intermittent Presentations of Food Security Instability

BACKGROUND

Food insecurity impacts 13.5 million US households yearly. Although food security instability (FS-I) can have many temporal presentations, these are not measured in the current US Household Food Security Survey Module.

OBJECTIVE

Explore sociodemographic and chronic disease correlates of 4 FS-I types (chronic, seasonal, intramonthly, and intermittent) using a 3-item US Household Food Security Survey Module instability supplement.

DESIGN

This study was a secondary analysis of cross-sectional survey pilot data collected to validate the US Household Food Security Survey Module instability supplement.

PARTICIPANTS AND SETTING

Adults at risk for food insecurity (n = 420) were recruited and answered the survey on their households' behalf from April to June 2021. The participants were recruited from 7 community organizations from 5 states (California, Florida, Maryland, North Carolina, and Washington).

MAIN OUTCOME MEASURES

The main outcomes were the odds of having a chronic, seasonal, intramonthly, or intermittent FS-I score ≥1 based on several sociodemographic factors and having ≥1 chronic disease.

STATISTICAL ANALYSES PERFORMED

Differences among the 4 FS-I types were analyzed using contingency tables and χ2 tests of independence. Then, mixed-effects logistic binary and conditional regressions were run for each FS-I type using clustering by state and odds ratios and 95% CI to interpret results.

RESULTS

The most common FS-I type experienced by the sample was intramonthly (n = 183 [43%]). Nonchronic food insecurity was most likely to happen during the winter, at the end of the month, or randomly with no certain time frame. FS-I in any form was associated with low income, chronic FS-I was associated with younger age and male sex, seasonal FS-I was associated with having no government-subsidized health insurance and females, intramonthly FS-I was associated with participation in nutrition assistance programs, and intermittent FS-I had lower odds among Hispanic/Latino households.

CONCLUSIONS

Further research is needed to explore other FS-I correlates and establish causative relationships; however, these results can be used with clinical judgment for targeted food insecurity screening and treatment.

The lived experience of food insecurity among adults with obesity: a quantitative and qualitative systematic review

BACKGROUND

Food insecurity and obesity are increasing both globally and in the UK. In this review we systematically assess the lived experiences of people with obesity who are food insecure and often turn to food banks.

METHODS

We systematically searched electronic databases from January 2007 until October 2022. Data from eligible studies were extracted and the studies assessed for quality. Thematic analysis and narrative synthesis approach was used to analyse the extracted data.

RESULTS

Six themes were identified among 25 included studies, including: the financial cost of food; psychological aspects related to food insecurity; geographical access and the food environment; food practices in the home; experience of food assistance; and parental-child relationships. The cost of healthy food and psychological factors were identified as key driving factors of the relationship between food insecurity and obesity. Psychological factors such as depression, low self-esteem and stress played an important part in the lived experience of people with obesity and food insecurity.

CONCLUSION

The food environment provides context in which food decisions are made, therefore, systems change is necessary to ensure families can afford the food that enables a healthy diet. For clinicians, identification, and attention to the impact of food insecurity on people with obesity are important.

Factors associated with food insecurity among the chronically ill population during the COVID-19 pandemic in the United States

Introduction

Little is known about food insecurity among Americans with chronic diseases, one of the vulnerable groups in health care. Factors influencing food insecurity among this population group are especially poorly understood.

Methods

Using data from the COVID Impact Survey, this cross-sectional study sought to examine food insecurity among adults with chronic diseases in the United States and to identify factors associated with their risks for food insecurity during the COVID-19 pandemic.

Results

Nearly 28% of the national and 32% of the regional samples from the COVID Impact Survey were at risk for food insecurity. The logistic regressions show that chronically ill US adults with one of the following characteristics have higher odds of being at risk for food insecurity: younger than 60 years, having financial stress, unemployed, having received food from a food pantry, without health insurance, having a household income lower than $100,000, and without a college degree.

Discussion

Targeted policies and programs are warranted to address underlying determinants of food insecurity that adults with chronic illnesses experience.

New measures to assess the "Other" three pillars of food security-availability, utilization, and stability

BACKGROUND

In recent reviews of available measures, no existing measures assessed all four pillars of food security and most only assessed one or two pillars-predominantly the access pillar. The purpose of this study was to preliminarily develop novel measures of availability, utilization, and stability that are complementary to the USDA's household food security survey measure (HFSSM).

METHODS

A formative phase included an expert advisory group, literature scans, and interviews with individuals experiencing food insecurity. From April-June 2021, the new measures were piloted in five states (California, Florida, Maryland, North Carolina, and Washington). The cross-sectional pilot survey included the new measures (perceived limited availability, utilization barriers, and food insecurity stability), scales and items for validation (e.g., food security, and self-reported dietary and health outcomes), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal consistency was assessed using Kuder-Richardson formula 21 (KR21), and convergent and discriminant validity were assessed using Spearman's correlation coefficients. Also, a brief screener version was created for the utilization barriers measure that may be necessary for certain applications (e.g., clinical intake screening to inform referrals to assistance programs).

RESULTS

The analytic samples (perceived limited availability (n = 334); utilization barriers (n = 428); food insecurity stability (n = 445)) were around 45 years old on average, most households had children, over two-thirds were food insecure, over three-fourths were women, and the samples were racially/ethnically diverse. All items loaded highly and unambiguously to a factor (factor loadings range 0.525-0.903). Food insecurity stability showed a four-factor structure, utilization barriers showed a two-factor structure, and perceived limited availability showed a two-factor structure. KR21 metrics ranged from 0.72 to 0.84. Higher scores for the new measures were generally associated with increased food insecurity (rhos = 0.248-0.497), except for one of the food insecurity stability scores. Also, several of the measures were associated with statistically significantly worse health and dietary outcomes.

CONCLUSIONS

The findings support the reliability and construct validity of these new measures within a largely low-income and food insecure sample of households in the United States. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may be used in various applications to promote a more comprehensive understanding of the food insecurity experience. Such work can help inform novel intervention approaches to address food insecurity more fully.

Medically tailored meals for food insecurity and type 2 diabetes: Protocol for the Food as Medicine for Diabetes (FAME-D) trial

BACKGROUND

Food insecurity is associated with worse glycemic management for individuals with type 2 diabetes mellitus (T2DM), but whether medically tailored meals (MTM), a food insecurity intervention, can improve glycemic management is unclear.

OBJECTIVE

To describe the protocol for a trial assessing whether an MTM plus lifestyle intervention improves hemoglobin A1c (HbA1c) and participant-reported outcomes, relative to a food subsidy (money that can be spent on foods participants choose), for adults with both T2DM and food insecurity.

METHODS

The Food as Medicine for Diabetes (FAME-D) randomized clinical trial (goal n = 200) is a pragmatic trial with an active comparator. Participants, who will have T2DM and report food insecurity, will be randomly assigned to a 6-month MTM plus telephone-delivered lifestyle change intervention, or a 6-month food subsidy ($40/month). The primary outcome is HbA1c at 6 months. Secondary outcomes include HbA1c at 12 months to assess whether the intervention effect (if any) is sustained, along with weight, food insecurity, diabetes distress, and health-related quality of life. Qualitative analyses of semi-structured interviews will help understand why, how, and under what circumstances the intervention achieved its observed results.

CONCLUSION

Results from FAME-D will help inform clinical management of food insecurity when it co-occurs with T2DM. Further, results may be useful as healthcare payors are considering coverage for MTM interventions.

CLINICALTRIALS

gov: NCT04828785.

The SNAP Cycle and Diabetes Management During a One-Time Change in Disbursement Schedule

OBJECTIVE

The 2018-2019 federal government partial shutdown resulted in a one-time disruption to the usual disbursement schedule of Supplemental Nutrition Assistance Program (SNAP) benefits nationwide. We assessed the relationship between this disruption and hyperglycemia and hypoglycemia medical encounters among beneficiaries with diabetes.

RESEARCH DESIGN AND METHODS

To estimate whether the one-time change in benefit disbursement affected the monthly cycle of hyperglycemia or hypoglycemia encounter rates, we used linked administrative Medicaid claims and SNAP disbursement data from West Virginia in a fixed-effects model with interactions between week of the month and the two months of interest-January and February 2019. We controlled for week, month, year, and county effects as well as individual characteristics, and we clustered SEs by individual.

RESULTS

We found that the early disbursement of SNAP benefits in January 2019 resulted in a spike in hyperglycemia four times the rate in a typical month. Further, we found a decrease in both hyperglycemia and hypoglycemia in late February.

CONCLUSIONS

Our findings suggest that the early distribution of benefits led to a temporary increase in food consumption among West Virginia Medicaid beneficiaries with diabetes. Findings from late February also imply that individuals may have a way to prepare for reduced food resources. These results shed new light on the effects of unexpected changes to the timing of safety net payments as well as an understanding of unintended consequences of government shutdowns.

Food Allergies in Inner-City Schools: Addressing Disparities and Improving Management

OBJECTIVE

Food allergy (FA) affects approximately 8% of children in the United States. Management comprises both preventing and treating allergic reactions, which poses unique challenges in the inner-city school setting. In this article, we review the epidemiology of FA in school-aged children and management challenges and opportunities specific to the inner-city population.

DATA SOURCES

A literature search of the PubMed database was performed to identify published literature on FA epidemiology, FA management, school policies, disparities, inner-city, race, ethnicity, and socioeconomic status.

STUDY SELECTIONS

Relevant articles on FA management best practices and challenges in schools, with a particular emphasis on inner-city schools and populations and socioeconomic, racial, and ethnic disparities, were reviewed in detail.

RESULTS

Disparities in FA prevalence, management, and treatment exist. Additional research is needed to better characterize these disparities and elucidate the mechanisms leading to them. There is a lack of evidence-based interventions for the prevention and treatment of food allergic reactions in schools and specifically in inner-city schools, in which a greater proportion of students may rely on school food.

CONCLUSION

There are opportunities for partnership among health care providers, schools, and communities to address unmet needs in FA management and disparities in the inner-city school setting.

Addressing patient’s unmet social needs: disparities in access to social services in the United States from 1990 to 2014, a national times series study

Background

To address patient’s unmet social needs and improve health outcomes, health systems have developed programs to refer patients in need to social service agencies. However, the capacity to respond to patient referrals varies tremendously across communities. This study assesses the emergence of disparities in spatial access to social services from 1990 to 2014.

Methods

Social service providers in the lower 48 continental U.S. states were identified annually from 1990 to 2014 from the National Establishment Times Series (NETS) database. The addresses of providers were linked in each year to 2010 US Census tract geometries. Time series analyses of annual counts of services per Km² were conducted using Generalized Estimating Equations with tracts stratified into tertiles of 1990 population density, quartiles of 1990 poverty rate and quartiles of 1990 to 2010 change in median household income.

Results

Throughout the period, social service agencies/Km² increased across tracts. For high population density tracts, in the top quartile of 1990 poverty rate, compared to tracts that experienced the steepest declines in median household income from 1990 to 2010, tracts that experienced the largest increases in income had more services (+ 1.53/Km², 95% CI 1.23, 1.83) in 1990 and also experienced the steepest increases in services from 1990 to 2010: a 0.09 services/Km²/year greater increase (95% CI 0.07, 0.11). Similar results were observed for high poverty tracts in the middle third of population density, but not in tracts in the lowest third of population density, where there were very few providers.

Conclusion

From 1990 to 2014 a spatial mismatch emerged between the availability of social services and the expected need for social services as the population characteristics of neighborhoods changed. High poverty tracts that experienced further economic decline from 1990 to 2010, began the period with the lowest access to services and experienced the smallest increases in access to services. Access was highest and grew the fastest in high poverty tracts that experienced the largest increases in median household income. We theorize that agglomeration benefits and the marketization of welfare may explain the emergence of this spatial mismatch.

The Relationship between Household SNAP Participation, Parent Feeding Styles, and Child Eating Behaviors

This cross-sectional analysis of the Minnesota Now Everybody Together for Amazing Healthful Kids (NET-Works) study evaluated whether SNAP participation was associated with specific parental feeding styles and child eating behaviors. Associations between parent-reported feeding styles and child eating behaviors and SNAP participation were examined using multiple linear regression analyses and responses from 534 parent/child dyads (49.1% female children, 91.7% female parents). SNAP participation was not associated with specific feeding styles or child eating behaviors when adjusting for food insecurity, timing in SNAP cycle, and other covariates in this large, ethnically and racially diverse sample of predominantly mothers and preschool-aged children. Other factors, such as food insecurity, not SNAP participation, may influence parental feeding and child eating behaviors, and screening by health care providers is recommended.

Food and financial coping strategies during the monthly Supplemental Nutrition Assistance Program cycle

One in seven Americans participates in the Supplemental Nutrition Assistance Program (SNAP), making it the largest federally funded food assistance program. SNAP benefits are distributed once per month and both food spending and calorie consumption tend to decrease as time from benefit distribution increases. The monthly SNAP benefit cycle has serious implications for the health and financial stability of low-income families, a growing number of whom rely on SNAP as their sole source of income. Relatively little is known about the specific coping strategies households use to manage the SNAP cycle. The purpose of this study is to provide a critical exploration of the nature and timing of coping strategies for managing the SNAP cycle, including implications these coping mechanisms have for health and financial stability. This paper presents data from a prospective cohort study of mothers (n = 12) receiving SNAP benefits in Philadelphia between 2016 and 17. Both in-depth qualitative and survey methods were used. Participants reported on a variety of coping strategies they used to manage the SNAP cycle, including adjustments to shopping and eating patterns, mental accounting, emotional resilience, and social support. Instrumental social support was particularly vital in the final days of the benefit cycle, as were skipping meals and purchasing less expensive, energy-dense foods. Constant vigilance was required throughout the month to manage financial instability. The coping strategies for managing the SNAP cycle have short-term benefits, such as buffering against hunger and financial instability, however these survival strategies may have negative long-term repercussions for physical and financial health.

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Coping strategies included adjusting shopping/eating, mental accounting, and social support.

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SNAP was divided by trip type; first trip for essential food items, later trips for fill-in items.

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End-of-month diet changes included skipping meals and buying cheaper, more energy-dense foods.

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Instrumental social support was most critical in final days of the benefit cycle.

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Constant vigilance was required throughout the month to manage financial instability.