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PREVENTING CHRONIC DISEASE P U B L I C H E A L T H R E S E A R C H , P R A C T I C E , A N D P O L I C Y Volume 17, E119 OCTOBER 2020

ORIGINAL RESEARCH

Social Determinants of Health–Related Needs During COVID-19 Among Low-Income

Households With Children

Shreela V. Sharma, PhD, RDN, LD1; Ru-Jye Chuang, DrPH1; Melinda Rushing, MSW1; Brittni Naylor, MPH1; Nalini Ranjit, PhD2; Mike Pomeroy, MPH3; Christine Markham, PhD4

Accessible Version: www.cdc.gov/pcd/issues/2020/20_0322.htm

Suggested citation for this article: Sharma SV, Chuang RJ, Rushing M, Naylor B, Ranjit N, Pomeroy M, et al. Social Determinants of Health–Related Needs During COVID-19 Among Low-Income Households With Children. Prev Chronic Dis 2020; 17:200322. DOI: https://doi.org/10.5888/pcd17.200322.

PEER REVIEWED

Summary

What is already known on this topic?

Little is known about the social needs of low-income households with chil- dren during the coronavirus-2019 (COVID-19) pandemic.

What is added by this report?

We conducted a rapid-response survey on social needs, COVID-19–related concerns, and diet-related behaviors during the shelter-in-place phase of the US pandemic among low-income households with children enrolled in a nutrition program. We found high levels of financial instability; concern about unemployment, food insecurity, and COVID-19; and reduced fre- quency of eating out and grocery shopping.

What are the implications for public health practice?

Government and community agencies must have a role in developing short- and long-term strategies to address the needs of our most vulner- able and underserved populations.

Abstract

Introduction Little is known about the social needs of low-income households with children during the coronavirus-2019 (COVID-19) pandemic. Our objective was to conduct a cross-sectional quantitative and qualitative descriptive analysis of a rapid-response survey among low-income households with children on social needs, COVID- 19–related concerns, and diet-related behaviors.

Methods We distributed an electronic survey in April 2020 to 16,435 famil- ies in 4 geographic areas, and 1,048 responded. The survey asked families enrolled in a coordinated school-based nutrition program about their social needs, COVID-19–related concerns, food insec- urity, and diet-related behaviors during the pandemic. An open- ended question asked about their greatest concern. We calculated descriptive statistics stratified by location and race/ethnicity. We used thematic analysis and an inductive approach to examine the open-ended comments.

Results More than 80% of survey respondents were familiar with COVID- 19 and were concerned about infection. Overall, 76.3% reported concerns about financial stability, 42.5% about employment, 69.4% about food availability, 31.0% about housing stability, and 35.9% about health care access. Overall, 93.5% of respondents re- ported being food insecure, a 22-percentage-point increase since fall 2019. Also, 41.4% reported a decrease in fruit and vegetable intake because of COVID-19. Frequency of grocery shopping de- creased and food pantry usage increased. Qualitative assessment identified 4 main themes: 1) fear of contracting COVID-19, 2) dis- ruption of employment status, 3) financial hardship, and 4) exacer- bated food insecurity.

Conclusion Our study highlights the compounding effect of the COVID-19 pandemic on households with children across the spectrum of so- cial needs.

Introduction Coronavirus disease 2019 (COVID-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a worldwide pandemic (1). As of September 2020, the United States is the epicenter of the pandemic, with more than 6.3 million

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions.

This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.

www.cdc.gov/pcd/issues/2020/20_0322.htm • Centers for Disease Control and Prevention 1

confirmed cases and more than 189,000 fatalities (2). Starting in early and mid-March, many US states began implementing social distancing measures and lockdowns, which prompted retail out- lets, restaurants, schools, universities, businesses, and other entit- ies to close, and implemented a work-from-home policy where possible. As a result of the pandemic, unemployment rose to an all-time high of 14.7% in April 2020, and more than 10% of Americans filed for unemployment from April through July 2020 (3). Furthermore, thousands of people diagnosed and hospitalized with COVID-19 are experiencing employment challenges in con- junction with large medical bills (4–6). For most Americans, ac- cess to health care is directly related to employment, so that loss of employment means loss of health care. A secondary effect of school closures is the lack of access to national school lunch and/ or breakfast programs (free or reduced-price meals) for children, thus increasing the risk of food insecurity among low-income fam- ilies. By April 2020, approximately 38% of American households were experiencing food insecurity (7). With the continued threat of COVID-19, unemployment and financial instability may rise, pushing families into making trade-offs between basic needs such as food and shelter (ie, paying rent this week instead of buying food) (8). Basic human needs, also called the social determinants of health, include employment, food security, housing security, ac- cess to health care, and transportation; the lack of these is linked to poor health outcomes (9).

Brighter Bites is a nonprofit, evidence-based school health pro- gram that distributes fresh produce weekly to low-income famil- ies and provides nutrition education in school and for parents (10,11). Only schools that have more than 75% of children en- rolled in a free or reduced-price meals program are eligible to par- ticipate in Brighter Bites. The program, which uses a school co-op concept, is disseminated in Southwest Florida and 5 US cities: Houston, Austin, Dallas, New York City, and Washington, DC. More than 100 schools participated during the 2019–2020 school year. Brighter Bites has improved dietary behaviors and the home nutrition environment among participating families (10). However, as a result of COVID-19–related school closures, pro- gram implementation has paused. To better understand the ongo- ing needs of families and provide critical services during the pan- demic, Brighter Bites conducted a rapid-response survey in April 2020 in 4 locations (Houston, Dallas, Washington, DC, and South- west Florida) among participating families. The survey asked about financial stability, employment status, food security, hous- ing security, transportation needs, access to child care, and access to health care. At the time the survey was conducted, all 4 loca- tions were under shelter-in-place orders, which included social distancing, school closures, and suspension of all nonessential ser- vices. The objective of our study was to quantitatively and qualit- atively describe the data obtained from this rapid-response survey.

Methods Brighter Bites distributed the survey electronically in April 2020 in English and Spanish via Formsite (Vroman Systems, Inc) to 16,436 Brighter Bites families (56.9% in Houston, 29.2% in Dal- las, 7.8% in the District of Columbia, and 6.1% in Southwest Flor- ida) who were enrolled in the program during the 2019–2020 school year and provided their telephone number in fall 2019. Pro- gram staff members distributed survey links through text mes- sages. The overall survey response rate was 6.4% (1,048 of 16,436). Response rates by location were 7.7%, Houston; 3.8%, Dallas; 6.4%, Washington, DC; and 6.9%, Southwest Florida. Sur- vey completion was voluntary. We obtained informed consent from all respondents, and one parent or adult per family com- pleted the survey. Brighter Bites collected all data and shared de- identified data with the University of Texas Health Science Cen- ter for analysis as part of a data-sharing agreement. All proced- ures were approved by the University of Texas Health Science Center’s Committee for Protection of Human Subjects.

Data collection

The 30-item self-report survey took approximately 10 minutes to complete.

Sociodemographic characteristics. The survey collected data on re- spondent’s sex, respondent’s relat ionship to the chi ld, respondent’s and child’s race/ethnicity, respondent’s employment status, respondent’s education level, and enrollment in govern- ment assistance programs. Program options were the Special Sup- plemental Nutrition Program for Women, Infants, and Children (WIC), Supplemental Nutrition Assistance Program (SNAP), Double Dollars, Medicaid/Texas Health Steps, Medicare, national school lunch and/or breakfast programs (free or reduced-price meals), and Children’s Health Insurance Program (CHIP).

COVID-19–related concerns. The survey asked respondents how much they had seen or heard about COVID-19. Four response op- tions ranged from “nothing at all” to “a great deal.” The survey also asked about respondents’ perceived concern for themselves and their children in contracting COVID-19. Response options were on a 4-point Likert-type scale ranging from strongly dis- agree to strongly agree. These questions were adapted from previ- ously administered surveys (12).

Social determinants of health. The survey asked respondents about their concerns during the pandemic about financial stability, em- ployment status, availability of food, affordability of food, avail- ability or affordability of housing, access to reliable transportation, access to childcare, and access to a clinic or physician. The survey provided a checklist for these 8 items, and respondents could

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check all that applied. The survey also invited respondents to write in any other concerns by using this statement: “Please share your greatest concern at this time, or any other thoughts you would like to share with us.”

Food insecurity. The parent or another adult in the family used the 2-item Hunger Vital Sign screening questionnaire developed and validated by Hager et al (13) to report household food security status during the COVID-19 pandemic. If the respondent indic- ated “often true” or “sometimes true” to either of the 2 questions, we considered the household food insecure. If a respondent answered “never true” to both questions, we considered the house- hold food secure.

Food shopping frequency and behavior. The survey used items ad- apted from the National Cancer Institute’s 2007 Food Attitudes and Behavior Survey (14). Respondents reported the frequency (times per month) and type of store at which their household shopped for fruits and vegetables. Response options were a large chain grocery store or supermarket, a small local store or corner store, a farmers market/food co-op/farm stand, and a food bank/ food pantry or other food distributions. Additionally, the survey asked respondents about their store-shopping practices: whether they physically shopped inside the store, shopped online with curbside pick-up, or shopped online with goods delivered to home. Respondents could check all that applied.

Dietary habits. The survey asked respondents about their fre- quency of eating out at restaurants in the previous 7 days and whether their frequency of eating out had changed because of the pandemic (15). The survey also asked if, because of COVID-19, their consumption of fruits and vegetables had increased, de- creased, or stayed the same.

Statistical analysis

Quantitative data analysis. We performed all analyses on de- identified data using Stata version 15.0 (StataCorp LLC). We computed means, standard deviations, and frequency distributions overall and stratified by race/ethnicity. We used the χ2 test or Fish- er exact test and 1-way analysis of variance to compute differ- ences in responses by city and race/ethnicity. For 3 variables (food insecurity, frequency of eating out, and frequency of shopping for produce) we compared responses on similar items in data collec- ted from 3,880 families in the same 4 locations in fall 2019, be- fore the start of the Brighter Bites program; we used the χ2 test to assess changes. Significance was set at P <.05 for all tests. The fall 2019 survey and April 2020 survey used similar questions for the 3 variables, except for the question on type of store. Both surveys

provided at least 1 example of each type of store, but the baseline survey did not list “other food distributions” in the same category as food bank/food pantry.

Qualitative data. We collated and analyzed responses to the open- ended question, “Please share your greatest concern at this time, or any other thoughts you would like to share with us.” We used thematic analysis to analyze the survey data by using an inductive approach in which we derived codes and themes on the basis of the content from the survey data (16,17). Two trained coders inde- pendently coded the comments by using an open coding method in Microsoft Word to establish initial coding themes and subthemes. Next, the 2 coders collectively assessed the themes and subthemes for agreement and created a codebook with definitions for each theme. Finally, the coders used this codebook to reconfirm the coding of the themes and subthemes in qualitative comments.

Results Overall, the demographic characteristics of respondents did not vary substantially by site (Table 1). Most (68.2%) respondents resided in Houston; 97.0% were female; 85.9% were Hispanic, 7.1% were African American, and 50.5% were mostly or only Spanish speaking; the mean age was 36.7 years. On average, 25.1% and 28.2% of families reported receiving WIC or SNAP, respectively. Also, 46.7% of families reported receiving Medicaid, and 74.4% of the children participated in free or reduced-price meals programs. A greater proportion in Houston and Washington, DC, than in the other 2 locations received Medicaid or CHIP (P < .001), whereas a smaller proportion of children in Dallas than in the other 3 locations participated in free or reduced-price meals programs (P = .04). These differences, however, were small.

Because demographic characteristics did not vary by site, our ex- amination of COVID-19–related knowledge, risks, attitudes, and behaviors across racial/ethnic groups did not adjust for site differ- ences. Most (81.8%) respondents reported knowing a great deal about COVID-19 and were concerned about being infected them- selves (87.3%) or their children being infected (87.0%) (Table 2). A smaller proportion of African American respondents than re- spondents in other racial/ethnic groups were concerned about be- ing infected with COVID-19 themselves (38.7%) and about their child being infected (39.3%) (P < .001).

Overall, 76.3% of respondents reported concerns about financial stability, 42.5% were concerned about their employment, 69.4% about availability of food, 49.5% about affordability of food, 31.0% about housing stability, and 35.9% about access to a clinic or physician. A small proportion of respondents expressed con- cern about reliable transportation (6.4%) and childcare (8.2%). When we stratified results by race/ethnicity, a significantly great-

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er proportion of African American (64.9%) and Non-Hispanic White (63.2%) respondents, compared with Hispanic respondents or in the “other” racial/ethnic group, was concerned about afford- ability of food (P = .009). Moreover, a smaller proportion of His- panic respondents (6.3%) than African American (23.0%), Non- Hispanic White (15.8%), or “other” (17.1%) racial ethnic groups was concerned with access to childcare (P < .001) (Table 2).

Overall, diagnosis of COVID-19 and prevalence of pre-existing conditions, such as diabetes, heart disease, and being immune compromised, were less than 5% among respondents at the time of survey completion. When asked about their general health status, 25.0% of respondents reported their health status to be fair or poor, with no significant differences by race/ethnicity.

Overall, 93.5% of respondents reported being food insecure in April 2020. In fall 2019, before Brighter Bites, 71.5% of respond- ents reported being food insecure (P < .001) (Figure). A signific- antly greater proportion of Hispanic respondents (94.7%) than re- spondents in other racial/ethnic groups reported food insecurity (P < .001) (Table 2). Overall, 61.6% of respondents reported never eating food from a restaurant during the previous 7 days (includ- ing take-out), with a smaller proportion of non-Hispanic White families (34.2%) than other racial/ethnic groups never eating out (P < .001). In fall 2019, 12.7% of families reported never eating out (P < .001). In addition, 83.5% of respondents reported decreas- ing the frequency of eating out because of COVID-19, with a greater proportion of Hispanic families (84.9%) than families in other racial/ethnic groups reporting decreased frequency (P = .003).

Figure. COVID-19-related changes in food insecurity, eating out, and food shopping behavior among low-income households with children (N = 1,048), Brighter Bites. All changes were significant at P < .001, except for shopping at a farmers market/food co-op/farm stand ≥1 time per week (P = .31).

Most (97.1%) Brighter Bites families reported shopping at a large grocery store during the pandemic but at varying frequencies. Al- most half (49.1%) reported in April 2020 shopping at least once per week, whereas 62.4% reported shopping at least once per week in fall 2019 (P < .001) (Figure). Moreover, in fall 2019 only 3.2% reported shopping at a food bank or food pantry or at other distributions at least once per week, where 13.4% reported shop- ping at these food outlets at least once per week in April 2020 (P < .001). When asked about the effect of COVID-19 on fruit and ve- getable consumption, 41.4% of families reported a decrease in in- take of fruits and vegetables because of COVID-19; we found no significant differences by race/ethnicity in this response (Table 2).

Qualitative analysis

Four themes emerged from the analysis of write-in responses to the question about immediate concerns during the COVID-19 pan- demic (Table 3): 1) fear of contracting COVID-19, 2) disruption of employment status, 3) financial hardship, and 4) exacerbated food insecurity. Collectively, all themes stemmed from fear of contracting COVID-19. As indicated in subthemes and comments, many respondents were concerned about contracting COVID-19 themselves or concerned about a family member contracting COVID-19. The concerns were due to various reasons, such as lack of personal protective equipment and working in frontline jobs. Respondents also expressed concern about an inability to pay bills, rent, and for other basic needs because of closure-related un- employment. Respondents were also uncertain about how they were going to access food as social distancing and the pandemic continued. In addition, respondents were concerned about limited produce at various food stores, spiked produce prices, and the fin- ances required to purchase food for their families.

Discussion The COVID-19 pandemic is occurring in the context of a global economic crisis, both of which highlight health and social chal- lenges for the most vulnerable people in our communities. To our knowledge, our study is the first to use a mixed-methods qualitat- ive and quantitative assessment to understand the social needs of low-income families with children during the pandemic. Moreover, our study provides insight into these needs during the pandemic’s acute phase, when all 4 cities in the study sample were under shelter-in-place orders.

Understanding the social needs of our most vulnerable families with children is critical because of the health disparities associ- ated with COVID-19 prevention and treatment (18). Low-income racial/ethnic minority populations, predominantly Hispanic and African American populations, are struggling with an increased risk of COVID-19 infection and COVID-19–related complica-

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tions and mortality (19–22). These increases in risk are likely due to health inequities, which result in a disproportionately greater prevalence of obesity, diabetes, respiratory disorders and other predisposing conditions among Hispanic and African American populations (23). Inequities exist in social and structural factors, such as access to food, employment, transportation, housing, poverty, education, and health literacy (24). An overwhelming ma- jority of our study families were food insecure, were experiencing financial instability, and had concerns about their employment status. Furthermore, about one-third of respondents expressed con- cern about access to health care, which would increase their risk of illness of death, not just from COVID-19, but from other health conditions as well.

We obtained further insights into the needs and concerns of sur- vey respondents in the qualitative comments, which identified 4 themes: fear of contracting COVID-19, unemployment, financial hardship, and food insecurity. Interestingly, a smaller proportion of African American respondents than respondents in other racial/ ethnic groups were concerned with being infected with COVID- 19. This difference may be due to a disparity in health literacy and should be explored in future studies, given the high proportion of COVID-19–related complications and death in the African Amer- ican population. Our qualitative assessment also demonstrated that although most respondents reported following safety guidelines, some expressed fear of becoming infected in public spaces. One subtheme was lack of personal protective equipment among fam- ily members working in a high-risk environment. In light of these concerns, Brighter Bites has partnered with other nonprofit organ- izations to provide masks for families at many of their food distri- bution locations. Similarly, concerns about disruption of employ- ment and financial hardship identified such acute problems as in- ability to pay rent or bills. These results underscore how COVID- 19 and the related economic crisis have not only caused physical harm but have further destabilized people who were already strug- gling. The number of unemployed people in the United States in- creased by 11.5 million from February to September 2020 (25), and this number may increase. Brighter Bites developed a set of comprehensive resources to disseminate to their families via text, ema i l ed news le t t e r s , and the Br igh t e r B i t e s webs i t e (www.brighterbites.org). These resources include information on where to get tested for COVID-19, how to register for govern- ment assistance programs, COVID-19 prevention practices, and maintaining healthy eating, physical activity, and mental health.

Our study demonstrated a significant increase in food insecurity during the pandemic and a decrease in intake of healthy food such as fruits and vegetables. In addition, 41% of respondents said that their intake of fruits and vegetables decreased because of COVID- 19, and 83% said their frequency of eating food from restaurants

decreased because COVID-19. Qualitative comments provided ad- ditional insight, with many respondents expressing a concern about a general scarcity of food. This general scarcity was attrib- uted to a lack of availability and affordability and less frequent grocery shopping because of presumed store closures or fear of contracting COVID-19. Seligman et al posited a conceptual frame- work for the relationships among financial stress, food insecurity, and health (26). They suggested that the combination of stress (resulting from unemployment and financial hardship) and poor nutrition can challenge disease prevention and management be- cause these stressors strain the household budget, leaving little money for healthy foods and resulting in disordered eating (ie, consumption of unhealthy processed, nutrient-deficient foods), and increased medical care resulting in spending trade-offs (26). Furthermore, school and childcare closures, which halt school meals for children, have further pushed families into stress and food insecurity. Strategies to support meals for children, such as expanding and supporting enrollment in government assistance programs (eg, Pandemic-EBT), distribution of food for pick-up through schools, and other policy strategies should be considered (27,28).

The strengths of our study include a sample drawn from 4 US loc- ations and a survey administered when all 4 areas were experien- cing similar COVID-19 mitigation strategies. In addition, the study fills a gap in knowledge on the social needs of low-income households with children during COVID-19. Moreover, we con- ducted the qualitative analysis to help contextualize the quantitat- ive findings, and these analyses indicated COVID-19–related shifts in food-related practices and behaviors among respondents.

Our study has several limitations. Our sample is not representat- ive of the general population in the 4 locations surveyed or Bright- er Bites members but is a biased sample of families who likely needed help during this time. Furthermore, the sample size differed across the locations on the basis of the proportion of fam- ilies enrolled in the Brighter Bites program. Also, the changes we observed in food insecurity, eating out, and food shopping prac- tices could be attributed to other policy, systems, or environment- al factors unrelated to COVID-19. Finally, our cross-sectional de- scriptive study does not allow us to draw conclusions on cause and effect; our study is a snapshot at an early moment in the pandemic and serves as a baseline for examining patterns of change and causal associations in future studies.

Our results highlight the compounding effect of the COVID-19 pandemic across the spectrum of basic social needs among low- income households with children. Our study is a call to action for government and community agencies to deploy short- and long- term strategies to address the needs of our most vulnerable popula- tions.

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http://www.brighterbites.org

Acknowledgments Funding for the study was provided by Brighter Bites through Feeding Texas and the Texas Health and Human Services Com- mission. The funder/sponsor did not participate in the work. We acknowledge the Michael & Susan Dell Center for Healthy Liv- ing for their support of the project. The authors also acknowledge the families who participated in this study. Finally, we thank Brighter Bites staff members, participating schools, and parents for their support of the project. Dr Sharma is on the board of dir- ectors (an unpaid, advisory board position) of Brighter Bites, the goal of which is to improve access to fresh fruits and vegetables and nutrition education among underserved communities. The oth- er authors have no conflicts of interest relevant to this article to disclose. No copyrighted materials were used in this article.

Author Information Corresponding Author: Shreela Sharma, PhD, RDN, LD, Professor, Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, 1200 Pressler St, Houston, TX 77030. Telephone: 713-500-9344. Email : [email protected].

Author Affiliations: 1Department of Epidemiology, Human Genetics and Environmental Sciences, Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas. 2Department of Health Promotion and Behavioral Sciences, Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center, Austin Regional Campus, Austin, Texas. 3Brighter Bites, Houston, Texas. 4Department of Health Promotion and Behavioral Sciences. The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas.

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Dunn CG, Kenney E, Fleischhacker SE, Bleich SN. Feeding low-income children during the Covid-19 pandemic. N Engl J Med 2020;382(18):e40.

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Texas Health & Human Services Commission. Pandemic-EBT (P-EBT) due to COVID-19. https://hhs.texas.gov/services/ heal th/coronavirus-covid-19/coronavirus-covid-19- information-texans/pandemic-ebt-p-ebt-due-covid-19. Accessed August 27, 2020.

28.

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Tables

Table1. Demographic Characteristics of Brighter Bite Respondents (N = 1,048) to a COVID-19 Survey of Low-Income Households With Children, Overall and by Loc- ation, April 2020a

Variable Overall

(N = 1,048)b Houston

(n = 715)b Dallas

(n = 181)b Washington, DC

(n = 82)b Southwest Florida

(n = 70)b P Valuec

Percentage of respondents 100.0 68.2 17.3 7.8 6.7 —

Respondent race

Black or African American 74 (7.1) 52 (7.3) 7 (3.9) 12 (14.8) 3 (4.3) .08d

Mexican American, Latino, or Hispanic

894 (85.9) 603 (85.1) 164 (90.6) 63 (77.8) 64 (91.4)

Non-Hispanic White 38 (3.7) 29 (4.1) 6 (3.3) 1 (1.2) 2 (2.9)

Other 35 (3.4) 25 (3.5) 4 (2.2) 5 (6.2) 1 (1.4)

Language spoken at home

Most or only English 169 (16.1) 124 (17.4) 23 (12.7) 12 (14.6) 10 (14.3) .11e

Both English and Spanish equally 326 (31.1) 218 (30.5) 58 (32.0) 20 (24.4) 30 (42.9)

Most or only Spanish 529 (50.5) 356 (49.9) 99 (54.7) 46 (56.1) 28 (40.0)

Other language 23 (2.2) 16 (2.2) 1 (0.6) 4 (4.9) 2 (2.9)

Respondent sex

Male 31 (3.0) 18 (2.5) 7 (3.9) 2 (2.4) 4 (5.7) .34d

Female 1,014 (97.0) 695 (97.5) 173 (96.1) 80 (97.6) 66 (94.3)

No. of people living in home, mean (SD)

Children (<18 y) 2.7 (1.1) 2.7 (1.1) 2.6 (1.1) NA 2.7 (1.1) .74f

Elders (≥65 y) 0.3 (0.6) 0.3 (0.6) 0.2 (0.5) NA 0.05 (0.3) .01f,g

Adults (18 to <65 y) 2.4 (0.9) 2.4 (0.9) 2.5 (0.9) NA 2.3 (1.0) .44f

Total 4.7 (2.0) 5.1 (1.5) 5.1 (1.5) NA 5.1 (1.2) <.001f,g

Parent age, mean (SD), y 36.7 (7.3) 36.8 (7.4) 36.4 (7.3) NA 36.1 (6.3) .64f

Does your family use the following?

WIC 261 (25.1) 171 (24.0) 41 (23.0) 23 (28.8) 26 (37.1) .08d

SNAP 293 (28.2) 213 (29.8) 46 (25.7) 19 (24.4) 15 (21.7) .35d

Double Dollars 8 (0.8) 5 (0.7) 3 (1.7) 0 0 .43d

Medicaid/Texas Health Steps 485 (46.7) 372 (52.2) 84 (47.2) 11 (14.1) 18 (26.1) <.001d,g

Medicare 128 (12.3) 65 (9.1) 19 (10.7) 28 (35.0) 16 (22.9) <.001d,g

Abbreviations: CHIP, Children’s Health Insurance Program; NA, not applicable; SNAP, Supplemental Nutrition Assistance Program; WIC, Special Supplemental Nutri- tion Program for Women, Infants, and Children. a Brighter Bites is a nonprofit organization whose mission is to improve access to fresh fruits and vegetables and nutrition education among underserved com- munities. The survey was administered electronically in April 2020 to 16,436 Brighter Bites families who were enrolled in the program during the 2019–2020 school year. Response was voluntary. All values are number (percentage) unless otherwise indicated. Percentages may not add to 100 because of rounding. b Number is the total number of survey responses received overall and in each city. Because survey completion was voluntary, not all respondents answered all questions; thus, values for each variable may not sum to value in column head. c Significance set at P < .05 for all tests. d Fisher exact test. e χ2 test. f 1-way analysis of variance. g Stratified analysis showed significant differences (P < .05) in sociodemographic variables by city.

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Table1. Demographic Characteristics of Brighter Bite Respondents (N = 1,048) to a COVID-19 Survey of Low-Income Households With Children, Overall and by Loc- ation, April 2020a

Variable Overall

(N = 1,048)b Houston

(n = 715)b Dallas

(n = 181)b Washington, DC

(n = 82)b Southwest Florida

(n = 70)b P Valuec

Free/reduced-price meals 777 (74.4) 543 (76.1) 118 (65.6) 62 (75.6) 54 (78.3) .04d,g

CHIP 173 (16.6) 100 (14.0) 35 (19.6) 29 (35.8) 9 (13.0) <.001d,g

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Table 2. Descriptive Analysis of COVID-19–Related Concerns, Social Determinants of Health, and Dietary Behaviors Among Brighter Bite Respondents (N = 1,048) to COVID-19 Survey of Low-Income Households With Children, Overall and by Race/Ethnicity, April 2020a

Variable Overall

(N = 1,048)b Hispanic

(n = 894)b African American

(n = 74)b

Non-Hispanic White

(n = 38)b Other

(n = 35)b P Valuec

Sociodemographic Characteristics

Parent sex

Male 31 (3.0) 20 (2.2) 3 (4.1) 2 (5.4) 6 (17.1) <.001d,e

Female 1,008 (97.0) 873 (97.8) 71 (95.9) 35 (94.6) 29 (82.9)

Language spoken at home

Most or only English 169 (16.2) 68 (7.6) 61 (82.4) 26 (68.4) 14 (40.0) <.001d,e

Both English and Spanish equally 326 (31.3) 314 (35.1) 3 (4.1) 8 (21.1) 1 (2.9)

Most or only Spanish 524 (50.3) 508 (56.8) 2 (2.7) 3 (7.9) 11 (31.4)

Other language 22 (2.1) 4 (0.5) 8 (10.8) 1 (2.6) 9 (25.7)

No. of people living in home

Children (<18 y) 2.7 (1.1) 2.7 (1.1) 2.7 (1.1) 2.6 (1.2) 2.3 (1.0) .38f

Elders (≥65 y) 0.2 (0.6) 0.2 (0.5) 0.5 (0.8) 0.4 (0.8) 0.5 (0.8) .005e,f

Adults (18 to <65 y) 2.4 (0.9) 2.4 (0.9) 2.0 (0.9) 2.2 (0.9) 2.1 (0.8) .001e,f

Total 4.8 (1.1) 4.8 (1.9) 4.1 (2.2) 4.8 (1.7) 4.2 (2.2) .004e,f

Parent age, mean (SD), y 36.6 (7.2) 36.2 (6.7) 40.3 (10.6) 38.4 (9.6) 38.2 (7.3) <.001e,f

Does your family use the following?

WIC 258 (24.9) 214 (24.1) 26 (35.1) 9 (23.7) 9 (25.7) .21f

SNAP 290 (28.1) 241 (27.2) 27 (36.5) 13 (34.2) 9 (25.7) .29f

Double Dollars 8 (0.8) 5 (0.6) 2 (2.7) 1 (2.6) 0 .10d

Medicaid/Texas Health Steps 481 (46.6) 406 (45.9) 42 (56.8) 20 (52.6) 13 (37.1) .17f

Medicare 127 (12.3) 102 (11.5) 14 (18.9) 8 (21.1) 3 (8.6) .08d

Free or reduced-price meals 771 (74.2) 661 (74.1) 60 (81.1) 28 (73.7) 22 (62.9) .24f

CHIP 172 (16.6) 148 (16.7) 14 (18.9) 4 (10.5) 6 (17.1) .75d

COVID-19–Related Concerns

How much have you seen or heard about COVID-19?

Nothing at all 3 (0.3) 2 (0.2) 1 (1.4) 0 0 <.001d,e

A fair amount 60 (5.8) 42 (4.7) 6 (8.1) 5 (13.2) 7 (20.0)

Not very much 127 (12.2) 120 (13.4) 3 (4.1) 2 (5.3) 2 (5.7)

A great deal 851 (81.8) 730 (81.7) 64 (86.5) 31 (81.6) 26 (74.3) a Brighter Bites is a nonprofit organization whose mission is to improve access to fresh fruits and vegetables and nutrition education among underserved com- munities. The survey was administered the survey electronically in April 2020 to 16,436 Brighter Bites families who were enrolled in the program during the 2019–2020 school year. Response was voluntary. All values are number (percentage) unless otherwise indicated. Percentages may not add to 100 because of rounding. b Number is the total number of survey responses received overall and by race/ethnicity. Because survey completion was voluntary, not all respondents answered all questions; thus, values for each variable may not sum to value in column head. c Significance set at P < .05 for all tests. d Fisher exact test. e Stratified analysis showed significant differences (P < .05) in sociodemographic variables by city. f 1-way analysis of variance. g χ2 test.

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Variable Overall

(N = 1,048)b Hispanic

(n = 894)b African American

(n = 74)b

Non-Hispanic White

(n = 38)b Other

(n = 35)b P Valuec

I am concerned that I will get the coronavirus

Strongly disagree 37 (3.9) 12 (1.5) 17 (27.4) 6 (16.2) 2 (6.3) <.001d,e

Disagree 82 (8.7) 51 (6.3) 21 (33.9) 7 (18.9) 3 (9.4)

Agree 247 (26.3) 211 (26.2) 11 (17.7) 12 (32.4) 13 (40.6)

Strongly agree 572 (61.0) 533 (66.1) 13 (21.0) 12 (32.4) 14 (43.8)

I am concerned that my child will get the coronavirus (question asked of parents only)

Strongly disagree 47 (4.9) 22 (2.6) 18 (29.5) 5 (13.5) 2 (6.1) <.001d,e

Disagree 78 (8.1) 47 (5.7) 19 (31.2) 8 (21.6) 4 (12.1)

Agree 208 (21.6) 176 (21.3) 13 (21.3) 13 (35.1) 5 (15.2)

Strongly agree 631 (65.4) 582 (70.4) 11 (18.0) 11 (29.8) 22 (66.7)

Due to the coronavirus, are you concerned about any of the following in regards to you and your family? (check all that apply)

Financial stability 794 (76.3) 682 (76.3) 58 (78.4) 30 (78.9) 24 (68.6) .69g

My employment status will change in the near future

442 (42.5) 377 (42.2) 29 (39.2) 17 (44.7) 19 (54.3) .49g

Availability of food 722 (69.4) 612 (68.5) 51 (68.9) 30 (78.9) 29 (82.9) .17g

Affordability of food 515 (49.5) 424 (47.4) 48 (64.9) 24 (63.2) 19 (54.3) .009e,g

Availability or affordability of housing 323 (31.0) 264 (29.5) 31 (41.9) 13 (34.2) 15 (42.9) .06g

Access to reliable transportation 67 (6.4) 57 (6.4) 5 (6.8) 2 (5.3) 3 (8.6) .88d

Access to childcare 85 (8.2) 56 (6.3) 17 (23.0) 6 (15.8) 6 (17.1) <.001d,e

Access to your clinic/doctor 374 (35.9) 314 (35.1) 31 (41.9) 16 (42.1) 13 (37.1) .56d

Which of the following is true for you?

I have not experienced any symptoms of coronavirus

1,033 (99.2) 888 (99.3) 73 (98.6) 37 (97.4) 35 (100.0) .36d

I am currently experiencing the symptoms but have not been diagnosed

6 (0.6) 4 (0.5) 1 (1.4) 1 (2.6) 0

I have already been diagnosed with coronavirus

2 (0.2) 2 (0.2) 0 0 0

I have been diagnosed with coronavirus and have recovered

0 0 0 0 0

Prevalence of Preexisting Health Conditions Known to Increase Risk of COVID-19

Check any of the below health conditions apply to you or a member of your immediate family who live with you

a Brighter Bites is a nonprofit organization whose mission is to improve access to fresh fruits and vegetables and nutrition education among underserved com- munities. The survey was administered the survey electronically in April 2020 to 16,436 Brighter Bites families who were enrolled in the program during the 2019–2020 school year. Response was voluntary. All values are number (percentage) unless otherwise indicated. Percentages may not add to 100 because of rounding. b Number is the total number of survey responses received overall and by race/ethnicity. Because survey completion was voluntary, not all respondents answered all questions; thus, values for each variable may not sum to value in column head. c Significance set at P < .05 for all tests. d Fisher exact test. e Stratified analysis showed significant differences (P < .05) in sociodemographic variables by city. f 1-way analysis of variance. g χ2 test.

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Variable Overall

(N = 1,048)b Hispanic

(n = 894)b African American

(n = 74)b

Non-Hispanic White

(n = 38)b Other

(n = 35)b P Valuec

Diagnosed by a doctor as having diabetes

No one in my family 700 (74.5) 609 (74.6) 48 (80.0) 26 (72.2) 17 (60.7) .40d

Myself 58 (6.2) 51 (6.3) 4 (6.7) 2 (5.6) 1 (3.6)

One or more member(s) of my family 182 (19.4) 156 (19.1) 8 (13.3) 8 (22.2) 10 (35.7)

Diagnosed by a doctor as having heart disease

No one in my family 854 (90.9) 742 (90.9) 59 (98.3) 29 (80.6) 24 (85.7) .05d

Myself 14 (1.5) 14 (1.7) 0 0 0

One or more member(s) of my family 72 (7.7) 60 (7.4) 1 (1.7) 7 (19.4) 4 (14.3)

Diagnosed by a doctor as having autoimmune conditions or going through cancer treatment

No one in my family 862 (91.6) 757 (92.5) 52 (88.1) 30 (83.3) 23 (82.1) .007d,e

Myself 25 (2.7) 16 (2.0) 5 (8.5) 2 (5.6) 2 (7.1)

One or more member(s) of my family 54 (5.7) 45 (5.5) 2 (3.4) 4 (11.1) 3 (10.7)

Diagnosed by a doctor as having chronic lung disease or moderate to severe asthma

No one in my family 772 (81.8) 673 (82.1) 51 (85.0) 25 (69.4) 23 (82.1) .10d

Myself 25 (2.7) 18 (2.2) 3 (5.0) 3 (8.3) 1 (3.6)

One or more member(s) of my family 147 (15.6) 129 (15.7) 6 (10.0) 8 (22.2) 4 (14.3)

Is a current smoker

No one in my family 860 (90.7) 763 (92.6) 49 (81.7) 25 (69.4) 23 (82.1) <.001d,e

Myself 21 (2.2) 12 (1.5) 4 (6.7) 4 (11.1) 1 (3.6)

One or more member(s) of my family 67 (7.1) 49 (6.0) 7 (11.7) 7 (19.4) 4 (14.3)

How would you rate your current health status?

Poor 26 (2.4) 22 (2.5) 2 (2.7) 0 1 (2.9) .64d

Fair 235 (22.6) 203 (22.7) 12 (16.2) 11 (28.9) 9 (25.7)

Good 469 (45.1) 405 (45.4) 31 (41.9) 16 (42.1) 17 (48.6)

Very good 183 (17.6) 154 (17.3) 16 (21.6) 7 (18.4) 6 (17.1)

Excellent 128 (12.3) 109 (12.2) 13 (17.6) 4 (10.5) 2 (5.7)

Food Insecurity and Diet-Related Behaviors During COVID-19 Pandemic

Food insecurity due to coronavirus

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Variable Overall

(N = 1,048)b Hispanic

(n = 894)b African American

(n = 74)b

Non-Hispanic White

(n = 38)b Other

(n = 35)b P Valuec

Food secure 68 (6.5) 47 (5.3) 8 (10.8) 6 (15.8) 7 (20.0) <.001g

Food insecure 973 (93.5) 847 (94.7) 66 (89.2) 32 (84.2) 28 (80.0)

During the past 7 days, how many times did your family eat food from any type of restaurant (including take-out)?

Never 641 (61.6) 561 (62.8) 45 (60.8) 13 (34.2) 22 (62.9) <.001d,e

1–2 times per week 370 (35.6) 317 (35.5) 22 (29.7) 21 (55.3) 10 (28.6)

3–4 times per week 21 (2.0) 12 (1.3) 5 (6.8) 3 (7.9) 1 (2.9)

5–6 times per week 6 (0.6) 3 (0.3) 1 (1.4) 1 (2.6) 1 (2.9)

≥7 times per week 2 (0.2) 0 1 (1.4) 0 1 (2.9)

Due to coronavirus, has your frequency of eating food from restaurants changed?

Decreased 869 (83.5) 759 (84.9) 55 (74.3) 26 (68.4) 29 (82.9) .003d,e

Stayed the same 133 (12.8) 105 (11.7) 17 (23) 6 (15.8) 5 (14.3)

Increased 39 (3.8) 30 (3.4) 2 (2.7) 6 (15.8) 1 (2.9)

Due to coronavirus, currently how often do you buy or get fruits and vegetables and other groceries for the family from these locations?

A large grocery store or super market?

Never 30 (2.9) 28 (3.1) 0 1 (2.6) 1 (2.9) .02d,e

Less than once a month 130 (12.5) 103 (11.5) 16 (21.6) 2 (5.3) 9 (25.7)

1 or 2 times per month 373 (35.8) 330 (36.9) 22 (29.7) 14 (36.8) 7 (20.0)

1 time per week 379 (36.4) 331 (37.0) 21 (28.4) 15 (39.5) 12 (34.3)

≥2 times per week 129 (12.4) 102 (11.4) 15 (20.3) 6 (15.8) 6 (17.1)

A small local store or corner store

Never 485 (46.6) 409 (45.8) 32 (43.2) 21 (55.3) 23 (65.7) .009d,e

Less than once a month 177 (17.0) 145 (16.2) 20 (27.0) 8 (21.1) 4 (11.4)

1 or 2 times per month 171 (16.4) 150 (16.8) 12 (16.2) 2 (5.3) 7 (20.0)

1 time per week 161 (15.5) 150 (16.8) 4 (5.4) 7 (18.4) 0

≥2 times per week 46 (4.4) 39 (4.4) 6 (8.1) 0 1 (2.9)

A farmers market/food co-op/farm stand

Never 828 (82.7) 725 (84.7) 45 (61.6) 30 (79.0) 28 (82.4) <.001d,e

Less than once per month 87 (8.7) 65 (7.6) 14 (19.2) 4 (10.5) 4 (11.8)

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Variable Overall

(N = 1,048)b Hispanic

(n = 894)b African American

(n = 74)b

Non-Hispanic White

(n = 38)b Other

(n = 35)b P Valuec

1 or 2 times per month 42 (4.2) 29 (3.4) 8 (11.0) 3 (7.9) 2 (5.9)

1 time per week 27 (2.7) 23 (2.7) 3 (4.1) 1 (2.6) 0

≥2 times per week 17 (1.7) 14 (1.6) 3 (4.1) 0 0

A food bank/food pantry, or other food distributions

Never 516 (49.7) 448 (50.2) 31 (41.9) 18 (47.4) 19 (54.3) .12d

Less than once a month 214 (20.6) 179 (20.1) 24 (32.4) 7 (18.4) 4 (11.4)

1 or 2 times per month 169 (16.3) 138 (15.5) 14 (18.9) 11 (29.0) 6 (17.1)

1 time per week 114 (11.0) 103 (11.6) 4 (5.4) 2 (5.3) 5 (14.3)

≥2 times per week 26 (2.5) 24 (2.7) 1 (1.4) 0 1 (2.9)

At this time, how do you or your family member(s) shop at these grocery stores or super markets? (check all that apply)

Physically shop inside the store 970 (93.2) 834 (93.3) 71 (96.0) 35 (92.1) 30 (85.7) .24d

Shop online with curbside pick-up 79 (7.6) 56 (6.3) 13 (17.6) 7 (18.4) 3 (8.6) .001d,e

Shop online and delivered to home 21 (2.0) 11 (1.2) 6 (8.1) 0 4 (11.4) <.001d,e

Due to the coronavirus, has your consumption of fruits and vegetables . . .

Decreased 431 (41.4) 367 (41.1) 27 (36.5) 18 (47.4) 19 (54.3) .57g

Stayed the same 296 (28.4) 260 (29.1) 21 (28.4) 8 (21.1) 7 (20.0)

Increased 314 (30.2) 267 (29.9) 26 (35.1) 12 (31.6) 9 (25.7) a Brighter Bites is a nonprofit organization whose mission is to improve access to fresh fruits and vegetables and nutrition education among underserved com- munities. The survey was administered the survey electronically in April 2020 to 16,436 Brighter Bites families who were enrolled in the program during the 2019–2020 school year. Response was voluntary. All values are number (percentage) unless otherwise indicated. Percentages may not add to 100 because of rounding. b Number is the total number of survey responses received overall and by race/ethnicity. Because survey completion was voluntary, not all respondents answered all questions; thus, values for each variable may not sum to value in column head. c Significance set at P < .05 for all tests. d Fisher exact test. e Stratified analysis showed significant differences (P < .05) in sociodemographic variables by city. f 1-way analysis of variance. g χ2 test.

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Table 3. Thematic Assessment of Comments From Low-Income Households With Children (N = 1,048), Brighter Bites COVID-19 Survey, April 2020

Themes Description of Code Quote

Fear of contracting COVID-19

Fear of contracting COVID-19 for family My biggest worry is that my family gets infected. I worry that I get sick since I’m pregnant.

Concerned about when COVID-19 will end My worry is that this won’t end and we won’t be able to take care of our kids.

Fear of COVID-19 spreading I’m worried about people making each other sick since not everyone is practicing distancing and you don’t know who is sick because they haven’t checked everyone (like for example when you go to the supermarket and people aren’t wearing masks).

Fear of children contracting COVID-19 My biggest worry is getting sick, or that my kids get sick, or ending up without food or money to pay the bills.

Fear of going out (eg, stores) because of COVID-19

My biggest worry is going out and getting the coronavirus.

Fear of grocery shopping because of COVID- 19

A lot of fear about getting infected while going to the store early to buy food, and that my kids get sick.

Fear of returning to normalcy after COVID-19 Going back to be in a store, park, schools and being with the family, without any worry of some infection.

Fear of safety for family We should stay home. I’m worried about my children’s safety.

Lack of seriousness about COVID-19 among other people

A lot of people go to the supermarkets, Walmart, H.E.B, Fiesta, among others without masks, latex gloves and at the entrance of these establishments, nobody says anything to them, they also touch products and the carts without gloves and many parents take their kids to the supermarket.

Taking necessary preventive measurements for family at home to avoid contracting COVID- 19

Trying not to go out and follow the recommendation to stay at home and not expose kids to this virus.

Concern about having to work with no personal protective equipment

I’m worried about my husband getting sick and spreading it to me and my kids because he’s still working and his job doesn’t provide protection.

Fear because of COVID-19 of having to go into work

My biggest concern is about my husband who is working picking tomatoes and he says that a lot of the workers aren’t being as careful as they should about coronavirus and that the bosses don’t care about them. Because a lot of people already have the flu. And I’m scared that we’re all going to get sick.

Disruption of employment status

Lack of employment What’s happening is really hard because there’s no work but being healthy is the important thing.

Fear of being unemployed My worry is that my husband can lose his job due to the pandemic that we’re going through.

Working less hours due to COVID-19 That my husband has very little work.

Lack of employment at a restaurant My biggest worry is that this virus last for months since I work in a restaurant, and my savings are drying up day by day.

Financial hardship Concern about not having enough money to pay bills/utilities

We’re just worried about how to pay the bills this month.

Concern about not having enough money to pay rent

My biggest worry is not being able to pay next month’s rent and not knowing where to go.

Lack of finances I’m worried about my children’s food and about work. There are bills to pay and no money.

Unable to meet kids’ needs I’m worried about how to feed my kids because there’s no work right now.

Fear of being homeless That we don't have work and can’t pay the rent and bills, and that this ends up with my kids having no place to live.

Fear of inability to take care of family I am the only financial support for my family, so if anything happened to me, I don't know what would happen to my loved ones.

Lack of necessities/supplies That we don’t have masks, gloves, or disinfectant wipes because you can’t find them at the stores.

Fear of not having necessities/ supplies I’m worried that my kids won’t have food (fruits, vegetables, milk, and basic hygiene items) because there’s not enough opportunity for work.

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Table 3. Thematic Assessment of Comments From Low-Income Households With Children (N = 1,048), Brighter Bites COVID-19 Survey, April 2020

Themes Description of Code Quote

Economic instability Economic instability, since unemployment comes from it.

Financial instability It’s stressful, and the financial uncertainty.

Worry/fear of future financial challenges My biggest worry is not having an income for my family and that our savings run out.

Ineligible for government assistance Food is running out for my children, I have no work, no money, I don’t even qualify for the check that Mr. Donald Trump is sending out.

Reduced quality of life We’re just worried about having a better standard of living than right now. I hope this is over fast. There’s no work, no money and bills don’t offer forgiveness. There’s no help with bills, and the food is very limited.

Concern about increased prices of food in stores

That food is scarce, and when there is some the price is high, starting with our produce.

Exacerbated food insecurity

Concern about not having enough food for family and/or children

I’m worried about not having enough food for my kids.

Lack of food for family and/or children I don't have enough food for my kids.

Need for produce We need more fruits and vegetables.

Immediate need for food I feel worried because I’m not giving enough vegetables and fruit to my children since my husband only works 3 days, and I’m not working because my baby was just born, so there are 4 children and 2 adults and I’m short of food and diapers for my baby, but what I need is food for the family.

Decreased amount of food [T]he fact that they can’t eat enough fruit or food that they like.

Fear of grocery shopping because of COVID- 19

That I don’t want to go to the store and that I run out of food, scared to go out.

Stores not having enough food for buyers It’s been difficult to find fresh produce in the stores.

Concern about increased prices of food in stores

That food is scarce, and when there is some the price is high, starting with our produce.

Fear of stores closing and not being able to get food

That they close all the stores where you can find food.

PREVENTING CHRONIC DISEASE VOLUME 17, E119

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16 Centers for Disease Control and Prevention • www.cdc.gov/pcd/issues/2020/20_0322.htm

Published 2020. This article is a U.S. Government work and is in the public domain in the USA.