The Impact of the COVID-19 Pandemic on Food Access: Insights from First-Person Accounts in a Safety-Net Health Care System.

The COVID-19 pandemic disproportionately affected populations that were already facing socioeconomic disadvantages and limited access to health care services. The livelihood of millions was further compromised when strict shelter-in-place measures forced them out of their jobs. The way that individuals accessed food during the early stages of the COVID-19 pandemic drastically changed as a result of declines in household income, food chain supply disruptions, and social distance measures. This qualitative study examined the food access experiences of participants enrolled in a safety-net health care system-based, free, monthly fruit and vegetable market in the Metro Boston area during the first six months of the COVID-19 pandemic. The findings offer rich qualitative information to understand the financial repercussions of the pandemic on food access.

Assessing the effect of adverse economic events on severity of hunger among food pantry clients.

This study assessed relationship between adverse economic events (AEE) and hunger level (i.e., little to no, moderate, severe). A cross-sectional survey was conducted from June to August 2018 in 10 food pantries with 616 food pantry users. Hunger level was assessed by the Household Hunger Scale. AEE were evaluated over the past 3 months. Participants (60.55%) experienced unexpected or increased medical expenses (17.69%), job loss (13.64%), pay reduction (11.85%), and death of a family member (9.09%). Pay reduction (OR = 1.87, 95% CI: 1.12, 3.14) and increased debt (OR = 2.71, 95% CI: 1.92, 3.84) were associated with moderate hunger; death of a family member (OR = 2.43, 95% CI: 1.21, 4.90), pay reduction (OR = 2.95, 95% CI: 1.24, 7.04), and increased debt (OR = 3.46, 95% CI: 1.98, 6.04) were associated with severe hunger. Awareness of AEE can inform public health programs and policies for people in need of additional resources, which is essential in times of increased economic instability.

A Mixed-Methods Approach to the Development of a Disaster Food Security Framework.

BACKGROUND: Limited research on food systems and food insecurity (FI) following disasters finds contextual differences in post-disaster food systems that shape dimensions of FI. Measurement limitations make it difficult to address FI and develop effective practices for disaster-affected communities. OBJECTIVE: To develop, validate, and test a Disaster Food Security Framework (DFSF). DESIGN: Mixed-methods approach was used, including in-depth interviews to understand lived experiences during disasters; expert panel input to validate DFSF designed using responses from in-depth interviews; and quantitative testing of robustness of DFSF using the coronavirus disease 2019 pandemic as a disaster example. PARTICIPANTS AND SETTING: The in-depth interviews included participants from Vermont (n = 5), North Carolina (n = 3), and Oklahoma (n = 2) who had been living in those states during Hurricane Irene (2011), Hurricane Florence (2018), the Moore tornadoes (2013), and coronavirus disease 2019 pandemic (2020). The expert panel consisted of researchers and practitioners from different US geographical regions and food-related disciplines (n = 18). For the quantitative testing survey, data from 4 US states (New York, New Mexico, Vermont, and Maryland; n = 3,228) from the National Food Access and COVID Research Team was used. MAIN OUTCOME MEASURES: The outcomes from the in-depth interviews were dimensions of disaster FI, those from the expert panel was a content validity ratio, and those from the quantitative testing was the number of items and components to be included. ANALYSES PERFORMED: Inductive and deductive reasoning were using when reporting on the in-depth interviews and expert panel results, including frequencies. The quantitative testing was conducted using multiple correspondence analysis. RESULTS: The in-depth interviews revealed four dimensions of FI: availability (supply and donation), accessibility (economic, physical, and social), acceptability (preference and health), and agency (infrastructure and self-efficacy). The panel of experts reported high content validity for the DFSF and its dimensions (content validity ratio >0.42), thus giving higher credibility to the DFSF. Multiple correspondence analysis performed on 25 food-related variables identified one component with 13 indicators representing three of the four dimensions: availability, acceptability, and accessibility, but not agency.

Socio-demographic factors associated with hunger among food pantry users in Eastern Massachusetts.

To assess the determinants of hunger among food pantry users, the present study used a cross-sectional survey that included a modified Household Hunger Scale to quantify hunger. Mixed-effects logistic regression models were used to assess the relationship between hunger categories and various household socio-demographic and economic characteristics, such as age, race, household size, marital status and experience of any economic hardship. The survey was administered to food pantry users from June 2018 to August 2018 at various food pantries across Eastern Massachusetts with 611 food pantry users completing the questionnaire at any of the 10 food pantry sites. One-fifth (20⋅13 %) of food pantry users experienced moderate hunger and 19⋅14 % experienced severe hunger. Food pantry users who were single, divorced or separated; had less than a high school education; working part-time, unemployed or retired; or, who earned incomes less than $1000 per month were most likely to experience severe or moderate hunger. Pantry users who experienced any economic hardship had 4⋅78 the adjusted odds of severe hunger (95 % CI 2⋅49, 9⋅19), which was much larger than the odds of moderate hunger (AOR 1⋅95; 95 % CI 1⋅10, 3⋅48). Younger age and participation in WIC (AOR 0⋅20; 95 % CI 0⋅05-0⋅78) and SNAP (AOR 0⋅53; 95 % CI 0⋅32-0⋅88) were protective against severe hunger. The present study illustrates factors affecting hunger in food pantry users, which can help inform public health programmes and policies for people in need of additional resources. This is essential particularly in times of increasing economic hardships recently exacerbated by the COVID-19 pandemic.

A food bank program to help food pantries improve healthy food choices: mixed methods evaluation of The Greater Boston Food Bank's Healthy Pantry Program.

BACKGROUND: The Greater Boston Food Bank's (GBFB) Healthy Pantry Program (HPP) is an online training that teaches food pantry staff to implement behavioral nudges (e.g., traffic-light nutrition labels, choice architecture) to promote healthier client choices. This study assessed if HPP was associated with healthier food bank orders by food pantries and identified implementation facilitators and barriers. METHODS: This mixed methods study collected quantitative data from a matched cohort of 10 HPP food pantries and 99 matched control food pantries in eastern Massachusetts that allow clients to choose their own food, and qualitative data from structured individual interviews with 8 HPP pantry staff. A difference-in-differences analysis compared changes in percentage of pantries' food bank orders (by weight) of foods labeled green/yellow (healthier choices) and fresh produce from baseline to 6 and 10 months between HPP and control pantries. Interviews were coded for implementation facilitators and barriers. RESULTS: Before starting HPP, green-yellow ordering was 92.0% (SD 4.9) in control and 87.4% (SD 5.4) in HPP pantries. Participation in HPP was not associated with changes in green-yellow or fresh produce ordering at 6 or 10 months. HPP implementation facilitators included HPP training being accessible (sub-themes: customizable, motivating) and compatible with client-choice values. Barriers included resource limitations (sub-themes: staff shortage, limited space) and concerns about stigmatizing client food choices with use of labels for unhealthy foods. CONCLUSIONS: An online program to help pantries promote healthier client choices was not associated with changes in how much healthy food pantries ordered from the food bank, suggesting it did not substantially change client choices. Implementation challenges and high baseline healthy ordering may have influenced HPP's effectiveness.

Facilitators and Barriers to Patient Attendance at a Free Health Center Produce Market.

INTRODUCTION: Patient participation in healthcare system‒sponsored efforts to address food insecurity varies widely. This mixed-methods study sought to understand the patient sociodemographic factors associated with and barriers and facilitators to the use of a monthly produce market held at Cambridge Health Alliance in partnership with The Greater Boston Food Bank. METHODS: Baseline surveys (N=715) were conducted from February 2019 to March 2020 before market attendance, followed by 1-year follow-up surveys (n=514) and qualitative interviews (n=45). Robust Poisson regression estimated associations between sociodemographic characteristics and market attendance. Analyses were conducted from 2021 to 2022. RESULTS: A total of 37.1% attended the market ≥1 time. Market attendance was associated with being aged 30-49 years (Risk Ratio (RR)=1.36, 95% CI=1.00, 1.86), having a monthly household income <$1,000 (RR=1.73, 95% CI=1.29, 2.32), identifying as Asian (RR=2.48, 95% CI=1.58, 3.89), having a preferred language for medical care other than English (RR=1.35, 95% CI=1.03, 1.76), being retired (RR=1.90, 95% CI=1.17, 3.08), and living in the city of the market's location (RR=1.36, 95% CI=1.12, 1.63). Barriers included limited time (28%), work conflict (23%), forgetfulness (23%), and not knowing market location/date (22%). Interviews revealed that accessibility barriers (e.g., limited market hours, transportation issues, competing demands, medical conditions, long lines) were obstacles to attendance, whereas access to novel, healthy foods motivated attendance. CONCLUSIONS: Healthcare-based food distributions have the potential to reach patients with unmet food needs who cannot or would not access other forms of food assistance. Time constraints, physical limitations, and transportation challenges impact attendance; program modifications are necessary to improve accessibility.

Racial/Ethnic Disparities in Food Pantry Use and Barriers in Massachusetts during the First Year of the COVID-19 Pandemic.

This study sought to describe racial disparities in food insecurity, food pantry use, and barriers to and experiences with food pantries during the first year of the COVID-19 pandemic. We surveyed 2928 adults in Massachusetts regarding food access in the year before and during the first year of the pandemic. Weighted multivariable logistic regression models assessed racial differences in barriers to and experiences with pantry use during the pandemic. Black and Latino adults experienced the highest prevalence of food insecurity and pantry use. Additionally, Black and Latino adults reported more barriers to, but less stigma around, pantry use compared to White adults. Latino adults were less likely to know about pantry hours/locations and encounter staff who spoke their language. Black and Latino adults were also more likely to find pantry hours/locations inconvenient and have difficulty with transportation. The COVID-19 pandemic resulted in increased food insecurity, and food access inequities persisted. Programmatic policies to improve pantry access in communities of color could include increasing the hours/days that pantries are open, increasing bilingual staff, providing transportation or delivery, and creating multilingual public awareness campaigns on how to locate pantries.

Associations of percentage energy intake from total, animal and plant protein with overweight/obesity and underweight among adults in Addis Ababa, Ethiopia.

OBJECTIVE: This study investigated associations between types and food sources of protein with overweight/obesity and underweight in Ethiopia. DESIGN: We conducted a cross-sectional dietary survey using a non-quantitative FFQ. Linear regression models were used to assess associations between percentage energy intake from total, animal and plant protein and BMI. Logistic regression models were used to examine the associations of percentage energy intake from total, animal and plant protein and specific protein food sources with underweight and overweight/obesity. SETTING: Addis Ababa, Ethiopia. PARTICIPANTS: 1624 Ethiopian adults (992 women and 632 men) aged 18-49 years in selected households sampled using multi-stage random sampling from five sub-cities of Addis Ababa. RESULTS: Of the surveyed adults, 31 % were overweight or obese. The majority of energy intake was from carbohydrate with only 3 % from animal protein. In multivariable-adjusted linear models, BMI was not associated with percentage energy from total, plant or animal protein. Total and animal protein intake were both associated with lower odds of overweight/obesity (OR per 1 % energy increment of total protein 0·92; 95 % CI: 0·86, 0·99; P = 0·02; OR per 1 % energy increment of animal protein 0·89; 95 % CI: 0·82, 0·96; P = 0·004) when substituted for carbohydrate and adjusted for socio-demographic covariates. CONCLUSION: Increasing proportion of energy intake from total protein or animal protein in place of carbohydrate could be a strategy to address overweight and obesity in Addis Ababa; longitudinal studies are needed to further examine this potential association.

Diaper Need During the COVID-19 Pandemic Associated with Poverty, Food Insecurity, and Chronic Illness: An Analysis of a Representative State Sample of Caretakers with Young Children.

Objectives: Diaper need is an important form of material hardship for families with young children. This study quantified diaper need during the COVID-19 pandemic and examined factors associated with diaper need. Methods: Using a representative statewide sample of adults in Massachusetts, diaper need was assessed during the COVID-19 pandemic among respondents with at least one child 0-4 years of age in diapers (n=353). Bivariate tests examined associations between diaper need and individual and household factors. Multivariable regression was used to examine associations between diaper need and demographic factors, job loss, and mental health during the pandemic. Results: More than one in three respondents reported diaper need (36.0%). Demographic factors associated with diaper need were age <25 years, Latino ethnicity, having less than a high school degree, unemployment before the pandemic, household income <$50,000, household food insecurity, or having a household member with a chronic disease. Diaper need was higher among respondents who utilized a nutrition assistance program or a food pantry during the pandemic. In multivariable analyses considering job loss and mental health during the pandemic, diaper need was associated with household income <$50,000 (odds ratio [OR] 3.61; confidence interval [95% CI] 1.40-9.26) and a chronic disease diagnosis within the household (OR 4.26; 95% CI 1.77-10.29). Conclusions: This study indicates a level of diaper need similar to what was documented before the COVID-19 pandemic despite federal stimulus payments and increased distributions by local diaper banks. The findings identify groups at increased risk and suggest opportunities to reach those at risk through food assistance programs.

Food insecurity and the role of food assistance programs in supporting diet quality during the COVID-19 pandemic in Massachusetts.

Background: Economic and supply chain shocks resulting from the COVID-19 pandemic in 2020 led to substantial increases in the numbers of individuals experiencing food-related hardship in the US, with programs aimed at addressing food insecurity like the Supplemental Nutrition Assistance Program (SNAP) and food pantries seeing significant upticks in utilization. While these programs have improved food access overall, the extent to which diet quality changed, and whether they helped mitigate diet quality disruptions, is not well understood. Objective: To evaluate food insecurity, food pantry and/or SNAP participation associations with both diet quality as well as perceived disruptions in diet during the COVID-19 pandemic among Massachusetts adults with lower incomes. Methods: We analyzed complete-case data from 1,256 individuals with complete data from a cross-sectional online survey of adults (ages 18 years and above) living in Massachusetts who responded to "The MA Statewide Food Access Survey" between October 2020 through January 2021. Study recruitment and survey administration were performed by The Greater Boston Food Bank. We excluded respondents who reported participation in assistance programs but were ineligible (n = 168), those who provided straightlined responses to the food frequency questionnaire component of the survey (n = 34), those with incomes above 300% of the federal poverty level (n = 1,427), those who completed the survey in 2021 (n = 8), and those who reported improved food insecurity (n = 55). Current dietary intake was assessed via food frequency questionnaire. Using Bayesian regression models, we examined associations between pandemic food insecurity, perceived disruption in diet, diet quality, and intakes of individual foods among those who completed a survey in 2020. We assessed interactions by pantry and SNAP participation to determine whether participation moderated these relationships. Results: Individuals experiencing food insecurity reported greater disruption in diet during the pandemic and reduced consumption of healthy/unhealthy foods. Pantry participation attenuated significant associations between food insecurity and lower consumption of unhealthy (b = -1.13 [95% CI -1.97 to -0.31]) and healthy foods (b = -1.07 [-1.82 to -0.34]) to null (unhealthy foods: -0.70 [-2.24 to 0.84]; healthy foods: 0.30 [-1.17 to 1.74]), whereas SNAP participation attenuated associations for healthy foods alone (from -1.07 [-1.82 to -0.34] to -0.75 [-1.83 to 0.32]). Results were robust to choice of prior as well as to alternative modeling specifications. Conclusion: Among adults with lower incomes, those experiencing food insecurity consumed less food, regardless of healthfulness, compared to individuals not experiencing food insecurity. Participation in safety-net programs, including SNAP and pantry participation, buffered this phenomenon. Continued support of SNAP and the food bank network and a focus on access to affordable healthy foods may simultaneously alleviate hunger while improving nutrition security.

A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic profoundly affected food systems including food security. Understanding how the COVID-19 pandemic impacted food security is important to provide support and identify long-term impacts and needs. OBJECTIVE: The National Food Access and COVID research Team (NFACT) was formed to assess food security over different US study sites throughout the pandemic, using common instruments and measurements. This study presents results from 18 study sites across 15 states and nationally over the first year of the COVID-19 pandemic. METHODS: A validated survey instrument was developed and implemented in whole or part through an online survey of adults across the sites throughout the first year of the pandemic, representing 22 separate surveys. Sampling methods for each study site were convenience, representative, or high-risk targeted. Food security was measured using the USDA 6-item module. Food security prevalence was analyzed using ANOVA by sampling method to assess statistically significant differences. RESULTS: Respondents (n = 27,168) indicate higher prevalence of food insecurity (low or very low food security) since the COVID-19 pandemic, compared with before the pandemic. In nearly all study sites, there is a higher prevalence of food insecurity among Black, Indigenous, and People of Color (BIPOC), households with children, and those with job disruptions. The findings demonstrate lingering food insecurity, with high prevalence over time in sites with repeat cross-sectional surveys. There are no statistically significant differences between convenience and representative surveys, but a statistically higher prevalence of food insecurity among high-risk compared with convenience surveys. CONCLUSIONS: This comprehensive study demonstrates a higher prevalence of food insecurity in the first year of the COVID-19 pandemic. These impacts were prevalent for certain demographic groups, and most pronounced for surveys targeting high-risk populations. Results especially document the continued high levels of food insecurity, as well as the variability in estimates due to the survey implementation method.

Providing Food Assistance During the COVID-19 Pandemic: A Case Study of a Free Produce Market at a Health Care Center.

The COVID-19 pandemic has worsened economic precarity and nearly doubled food insecurity in the United States. We describe how a free produce market at a Massachusetts health center adapted to exponentially increase its reach and offerings while continuing to safely distribute food to a low-income community during the pandemic.

Massachusetts General Hospital Revere Food Pantry: Addressing hunger and health at an academic medical center community clinic.

Food insecurity is defined by limited access to adequate food. As a result, it is associated with chronic disease for millions of Americans. Healthcare systems take responsibility for improving patient health and thus are well positioned to create food security interventions that improve health. Given that dietary recommendations now emphasize plant-based foods (such as vegetables, fruits, legumes, and whole grains), interventions could prioritize distributing plant-based foods that promote health and reduce food insecurity. We developed a plant-based food pantry at the Massachusetts General Hospital Revere Healthcare Center, an academic medical center-affiliated community clinic that serves many patients with food insecurity. We partnered with a local food bank and used a color-coded nutrition ranking system to prioritize healthy foods. What began as a pilot program for patients with food insecurity and chronic disease expanded to serve the entire clinic population in response to rising community level food insecurity resulting from the COVID-19 pandemic. We developed and modified a workflow that provided an average of 384 recipients (i.e., patients and their household members) with food monthly during the 10-month study period. A total of 117,742 pounds of food was distributed. Next steps for the food pantry will include investigating health outcomes, assessing patient satisfaction with plant-based foods, and securing sustainable funding. Our experience can be used to guide other health organizations interested in the intersection of food security and chronic disease management.

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.

Life expectancy and agricultural environmental impacts in Addis Ababa can be improved through optimized plant and animal protein consumption.

In Ethiopia, children and adults face a double burden of malnutrition, with undernutrition and stunting coexisting with non-communicable diseases. Here we use a framework of comparative risk assessment, local dietary surveys and relative risks from large observational studies to quantify the health and environmental impacts of meeting adult and child recommended daily protein intakes in urban Addis Ababa. We find that plant-based foods, especially legumes, would have the lowest environmental impact and substantially increase life expectancy in adults, while animal-source proteins could be beneficial for children. This context-specific approach-accounting for regional constraints and trade-offs-could aid policymakers in developing culturally appropriate, nutritionally adequate and sustainable dietary recommendations.

Improving Hypertension Outcome Measurement in Low- and Middle-Income Countries.

High blood pressure is the leading modifiable risk factor for mortality, accounting for nearly 1 in 5 deaths worldwide and 1 in 11 in low-income countries. Hypertension control remains a challenge, especially in low-resource settings. One approach to improvement is the prioritization of patient-centered care. However, consensus on the outcomes that matter most to patients is lacking. We aimed to define a standard set of patient-centered outcomes for evaluating hypertension management in low- and middle-income countries. The International Consortium for Health Outcomes Measurement convened a Working Group of 18 experts and patients representing 15 countries. We used a modified Delphi process to reach consensus on a set of outcomes, case-mix variables, and a timeline to guide data collection. Literature reviews, patient interviews, a patient validation survey, and an open review by hypertension experts informed the set. The set contains 18 clinical and patient-reported outcomes that reflect patient priorities and evidence-based hypertension management and case-mix variables to allow comparisons between providers. The domains included are hypertension control, cardiovascular complications, health-related quality of life, financial burden of care, medication burden, satisfaction with care, health literacy, and health behaviors. We present a core list of outcomes for evaluating hypertension care. They account for the unique challenges healthcare providers and patients face in low- and middle-income countries, yet are relevant to all settings. We believe that it is a vital step toward international benchmarking in hypertension care and, ultimately, value-based hypertension management.

Patient Perceptions in Mast Cell Disorders.

Understanding experiences, perceptions, and perspectives of patients with a mast cell disorder (MCD), including cutaneous mastocytosis, systemic mastocytosis, mast cell activation syndromes, and hereditary α-tryptasemia, is an important aspect of successful care, treatment, and informed development of novel therapies. This article reviews existing studies and presents new data on MCD patient perceptions regarding medical care, symptoms, allergies/sensitivities, triggers, future health/disease progression, treatment, impact on daily living, quality of life, support needs, and concerns regarding possible familial disease. Discussion includes aspects affecting the MCD community that require further consideration and development.

Validity of an FFQ to measure nutrient and food intakes in Tanzania.

OBJECTIVE: FFQ are often used to estimate food and nutrient intakes to rank individuals by their level of intake. We evaluated the relative validity of a semi-quantitative FFQ created for use in Tanzania by comparing it with two 24 h diet recalls. DESIGN: We measured relative validity of the FFQ with deattenuated energy-adjusted rank correlations for nutrients, deattenuated rank correlations for food groups, and performed a cross-classification analysis of energy-adjusted nutrient quartiles using percentage of agreement and Bland-Altman analysis. SETTING: Interviews were conducted in 2014 in participants' homes in Ukonga, Dar es Salaam, Tanzania. SUBJECTS: We surveyed 317 adults aged 40 years or older from the general public. RESULTS: Deattenuated energy-adjusted rank correlation coefficients of nutrients ranged from -0·03 for riboflavin to 0·41 for percentage of energy from carbohydrates, with a median correlation of 0·21. Coefficients for food groups ranged from 0·00 for root vegetables to 0·51 for alcohol, with a median of 0·35. Relative to the average of the two 24 h diet recalls, the FFQ overestimated energy intake and intakes of all nutrients and food groups, other than tea, with ratios among nutrients ranging from 1·34 for SFA to 7·08 for vitamin A; and among food groups from 0·92 for tea to 9·00 for fruit. The percentage of participants classified into the same nutrient intake quartile ranged from 23 % for SFA to 32 % for both niacin and pantothenic acid, with a median of 28 %. CONCLUSIONS: The FFQ performed moderately well in urban Tanzanian adults.