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Food Insecurity and Health-Related Concerns Among Elementary Schoolteachers During the COVID-19 Pandemic

Fangyu Li, MS1; Nivedhitha Parthasarathy, MPH2; Feng Zhang, MS3; Ru-Jye Chuang, DrPH1; Mallika Mathur, MPH1; Mike Pomeroy, MPH4; Jacqueline Noyola, BS4; Christine M. Markham, PhD2; Shreela V. Sharma, PhD, RDN1 (View author affiliations)

Suggested citation for this article: Li F, Parthasarathy N, Zhang F, Chuang R, Mathur M, Pomeroy M, et al. Food Insecurity and Health-Related Concerns Among Elementary Schoolteachers During the COVID-19 Pandemic. Prev Chronic Dis 2022;19:210392. DOI: http://dx.doi.org/10.5888/pcd19.210392external icon.



What is already known about this topic?

In the US, the prevalence of food insecurity among teachers is higher than the national average. The association between food insecurity and health-related concerns among teachers during the COVID-19 pandemic has not been investigated.

What is added by this report?

The prevalence of food insecurity during the COVID-19 pandemic in a survey of elementary schoolteachers was 29.1%. Food insecurity was positively associated with poor general health, greater stress, concerns about various social determinants of health, and changes in fruit and vegetable consumption during the COVID-19 pandemic.

What are the implications for public health practice?

A confluence of various physical, mental health, and social determinants of health concerns among elementary schoolteachers warrants attention.



US school systems underwent major upheaval, including closures, implementation of virtual and/or hybrid learning, and stringent infection mitigation protocols, during the initial phase of the COVID-19 pandemic. We aimed to examine the association between food insecurity and perceived health, perceived stress, and social determinants of health concerns among elementary schoolteachers serving predominantly low-income children during the COVID-19 pandemic.


Brighter Bites, a nonprofit organization that weekly distributes fresh fruits and vegetables and nutrition education materials to more than 300 schools serving racial and ethnic minority populations with low income, conducts annual surveys of participating teachers to help determine subsequent efforts to support schools and families during the school year. We analyzed self-reported data collected electronically by the Brighter Bites teachers survey in 76 elementary schools during summer 2020. We used generalized linear mixed models to measure the association between food insecurity and health-related concerns.


Of 862 teachers who responded to the survey, 685 answered the 2 questions about food insecurity status; of these, 199 (29.1%) reported experiencing food insecurity. Food insecurity was positively associated with poor perceived general health, greater perceived stress, concerns about various social determinants of health, and changes in fruit and vegetable consumption during the COVID-19 pandemic.


Our study demonstrated the high prevalence of food insecurity and highlights its associated factors among elementary schoolteachers during the COVID-19 pandemic. It calls attention to the high correlation of various concerns among elementary schoolteachers during the COVID-19 pandemic. Further intervention and policy efforts are needed to relieve food insecurity–related concerns and enhance well-being among teachers.



In the US, approximately 4 million schoolteachers served approximately 56.6 million students attending public and private elementary and secondary schools during the 2019–2020 academic year (1). Compared with people in other professions, teachers earn lower wages, experience greater imbalances in effort and reward, have more occupational stress, have unhealthier eating habits, show more signs of poor physical and mental well-being, and have higher levels of food insecurity (2,3). Food insecurity is defined as the lack of nutritious foods in sufficient quantities or the disruption of eating patterns to maintain good health (4). Prior studies showed disproportionately higher rates of food insecurity among teachers than among the general US population (2,5). Additionally, studies before the pandemic showed that teachers had low levels of fruit and vegetable consumption and high intake of unhealthy foods, which puts them at increased risk for chronic conditions, such as diabetes, hypertension, and hyperlipidemia (6,7).

In 2020, the COVID-19 pandemic resulted in school closures, alterations in teaching schedules for the school year, and economic hardships (8). Teachers rapidly pivoted to virtual teaching and managing an ever-changing school environment while attending to their own health and wellness and that of their families (9). The US unemployment rate reached an all-time high of 14.8% in April 2020, putting a financial burden on nearly all people in the US (10,11). Given the national financial crisis caused by the pandemic and the higher rates of food insecurity among teachers than among the general US population before the pandemic, we sought to assess the impact of the COVID-19 pandemic on the financial stability and health of teachers. However, the literature on this topic is scarce. While previous studies demonstrated the consequences of food insecurity among preschool teachers (12,13), few assessed food-related needs among elementary schools serving racial and ethnic minority populations with low income, particularly during the COVID-19 pandemic. The purpose of our study was to describe the prevalence of food insecurity and other social determinants of health, including financial stability, employment concerns, housing, transportation, childcare, and access to health care, during the initial phase of the COVID-19 pandemic among teachers in public schools serving racial and ethnic minority families with low incomes in the US. We also explored associations between food insecurity and perceived health, perceived stress, changes in consumption of fruits and vegetables, and concerns about various social determinants of health.



Since 2012, Brighter Bites (14), an evidence-based food co-operative program, has been implemented at more than 300 schools and summer programs in racially and ethnically diverse, low-income neighborhoods with the goal of changing behavior among children and their parents to prevent obesity and maintain long-term health. The Brighter Bites program offers weekly distributions of 50 servings of fresh, primarily donated fruits and vegetables to all parents and teachers in participating schools for 16 weeks during the school year. Schools with greater than 75% of students enrolled in the free or reduced-price lunch program are eligible for Brighter Bites. The nutrition education provided by the Brighter Bites team includes the teacher-led, evidence-based Coordinated Approach to Child Health (CATCH) program (15) in schools in Austin, Dallas, and Houston, Texas; and the District of Columbia; the Youth Understanding MyPlate (YUM) program (16) in schools in Southwest Florida; and parent education via bilingual (English and Spanish) nutrition handbooks and recipe cards. In each school year of implementation, quantitative data are collected by using a cross-sectional survey of Brighter Bites staff members, parents, and teachers. The University of Texas Health Science Center at Houston, School of Public Health, (UTHealth) is the evaluation partner for Brighter Bites and has a data-sharing agreement with Brighter Bites, a 501(c)(3) organization. The study protocol and methodology were approved by the UTHealth Committee for Protection of Human Subjects Institutional Review Board.

Data collection

Because of pandemic-related school closures in March 2020, Brighter Bites implementation in schools came to a halt as schools turned to virtual delivery of education. Distribution of Brighter Bites food was shifted from classroom delivery to pre-prepared produce boxes for onsite pickup by families and teachers from March through August 2020. Brighter Bites operations also pivoted to support virtual implementation of the teacher-led nutrition education curriculum. UTHealth administered the Brighter Bites Teacher Survey electronically via Qualtrics (Qualtrics.XM) to all employed teachers in participating schools enrolled with Brighter Bites during the 2019–2020 school year. The purpose of the survey (37 questions) was 2-fold: first, to assess the implementation of the nutrition education activities in the schools, and second, to cross-sectionally assess the impact of the pandemic on teacher food insecurity, other social determinants of health, and perceived health and stress. This study focuses on the second aspect of the survey. The survey was sent to all 3,068 teachers across 90 Brighter Bites–participating schools starting June 15 and ending September 8, 2020, with up to 8 reminder emails per teacher for completion; 862 teachers from 76 schools responded to the survey (28.1% overall response rate). City- and region-specific response rates were 31.9% (275 of 862) in Houston, 19.1% (165 of 862) in Dallas, 27.7% (239 of 862) in Austin, 10.3% (89 of 862) in Southwest Florida, and 10.7% (92 of 862) in the District of Columbia.

Sociodemographic characteristics. The survey collected sociodemographic information from all survey participants, including sex, race and ethnicity, city of residence, teaching role at school, and years of experience as a teacher.

Food insecurity. Food insecurity was measured by using a previously validated 2-item questionnaire with a 60-day reference period (17), which included the statements “You worried whether your food would run out before you got money to buy more” and “The food you bought just didn’t last and you didn’t have money to get more.” A 3-point response scale (never true, sometimes true, and often true) was used to assess teachers’ food insecurity status. Participants who selected “sometimes true” or “often true” for either of the 2 statements were classified as food insecure, and all others were classified as food secure (17).

Psychosocial factors and social determinants of health. Perceived self-reported general health was assessed on a 5-point scale ranging from poor to excellent; perceived stress was measured through the question “In the last two months, due to COVID-19 and related challenges (eg, school and childcare closures, online teaching, and other personal challenges) how often have you felt nervous and ‘stressed’?”; a 5-point response scale ranged from “never” to “very often” (18). We also assessed pandemic-related social determinants of health by asking if participants had concerns about the following areas: financial stability, changes in employment status, availability or affordability of food or housing, access to transportation, childcare, or clinic/doctor. Participants reported having concerns in any area by answering yes to the yes/no question, “Due to COVID-19, are you concerned about any of the following in regard to you and your family [Choose all that apply]?” (19,20).

Behavioral factors. Behavioral factors, including whether teachers received Brighter Bites produce bags, were assessed by using the question “Did you receive Brighter Bites bags this year? (Weekly bags of produce).” Changes in fruit and vegetable intake were assessed both before and during COVID-19 by using 2 items: “As a result of Brighter Bites, has your intake of fruits and vegetables: increased/decreased/stayed the same as before?”, and “Due to COVID-19, has your consumption of fruits and vegetables: increased/decreased/stayed the same?”

Participation in government assistance programs. Teachers were asked about their participation in nutrition-related government assistance programs. The survey asked, “Does your family use the following programs [Choose all that apply]? Eg, Women, Infants, and Children (WIC), Supplemental Nutrition Assistance Program (SNAP) benefits, and free/reduced meal programs.”

Statistical analysis

We used SAS Studio version 3.8 (SAS Institute Inc) to perform all analyses. We computed descriptive statistics, including frequencies and proportions for all sociodemographic characteristics, psychosocial factors, social determinants of health, and behavioral factors. We used χ2 tests to assess whether the proportions of respondents who were food insecure differed by sex, race and ethnicity, city or region, teachers’ roles at school, years working in the current position, or concerns about COVID-19–related social determinants of health and whether they received Brighter Bites produce bags, changed their consumption of fruits and vegetables as a result of COVID-19 or participation in Brighter Bites, or participated in government assistance programs. For variables that resulted in small numbers (eg, received Brighter Bites produce bags, frequency of fruit and vegetable intake before the COVID-19 pandemic, participation in nutrition-related government assistance programs), we used Fisher exact tests to determine differences by food insecurity status. Perceived general health and stress levels were ordinal variables; therefore, we used Cochran–Armitage trend exact tests to determine whether proportions were significantly different by food insecurity status. We used multilevel univariate and multivariable generalized linear mixed models (GLMMs) to determine associations between food insecurity and general health, stress level, social determinants of health concerns during COVID-19, and changes in fruit and vegetable consumption before and after adjustment for other covariates (ie, sex, race and ethnicity, and city/region). We combined the categories excellent, very good, and good into “good” and fair and poor into “not good” self-reported general health in the GLMMs. We measured food insecurity as the dependent variable in the GLMMs, whereas general health, stress level, social determinants of health concerns during COVID-19, and changes in fruit and vegetable consumption were independent variables added into the model one at a time. Because of small numbers of survey respondents who participated in government assistance programs, we did not include this variable in the GLMM. We applied repeated measures to account for school-level clustering adjusted as a random effect. Significance levels were set at P < .05.



Of 862 teachers who completed the survey, 685 (79.5%) responded to the 2 questions on food insecurity status and were included in analysis (Table 1). Of these, 199 (29.1%) reported experiencing food insecurity. In the overall sample, most (86.2%) teachers were female and 512 (74.8%) were from Texas. Teachers in Austin had the highest nonresponse rate (78.4%) to the food insecurity questions. Compared with other racial and ethnic groups, Hispanic teachers were the largest group (41.0%) and the largest group (51.9%) not responding to the questions on food insecurity status; Hispanic teachers also had the highest percentage (52.9%) of respondents who reported having food insecurity. We did not find other demographic differences between teachers who responded to the food insecurity questions and those who did not. Most respondents were teaching faculty (91.2%); 53.8% had fewer than 5 years of working experience in the position. Overall, 15.3% of the teachers reported being in poor or fair health. Results of the stratified analysis showed that perceived general health varied by food insecurity status; food-insecure respondents had higher rates of poor or fair health than their food secure counterparts (P = .03). Overall, 85.4% of teachers reported being stressed/nervous either sometimes, fairly often, or very often. In stratified analysis, the percentage of teachers who reported being stressed/nervous fairly often/very often was higher among those who were food insecure than among those who were food secure (59.3% vs 43.0%; P < .001).

Forty percent of respondents were concerned about financial stability, and more than 20% were concerned about changed employment status, availability and affordability of food, and access to a clinic/doctor. All concerns related to social determinants of health, such as financial stability and changed employment status, significantly varied by food insecurity status. Receiving Brighter Bites produce bags was not significantly correlated with food insecurity status. Teachers with either increased or decreased fruit and vegetable intake were more food insecure than teachers whose consumption stayed the same (P < .001). Similarly, participation in SNAP and free or reduced-price meal programs differed significantly by food insecurity status such that a larger percentage of teachers who were food insecure (vs food secure) participated in these government assistance programs (P = .009 and P < .001, respectively).

Teachers who self-reported fair or poor general health had greater odds than teachers in good general health of having food insecurity (adjusted odds ratio [OR], 1.84; 95% CI, 1.15–2.92) (Table 2). Similarly, teachers’ stress level was also significantly and positively associated with food insecurity. Teachers who were sometimes or fairly often/very often stressed/nervous had greater odds than teachers who never/almost never felt stressed/nervous of having food insecurity (adjusted OR, 2.80; 95% CI, 1.41–5.57 for sometimes; adjusted OR, 4.74; 95% CI, 2.41–5.57 for fairly often/very often). Meanwhile, teachers with concerns about financial stability had greater odds than teachers without these concerns of experiencing food insecurity (adjusted OR, 6.29; 95% CI, 4.24–9.34). Teachers who responded yes to being concerned about changed employment status (adjusted OR, 2.46; 95% CI, 1.65–3.67), availability of food (adjusted OR, 3.54; 95% CI, 2.35–5.33), affordability of food (adjusted OR, 4.33; 95% CI, 2.91–6.44), availability and/or affordability of housing (adjusted OR, 4.11; 95% CI, 2.44–6.94), access to transportation (adjusted OR, 6.27; 95% CI, 2.92–13.47), access to childcare (adjusted OR, 2.23; 95% CI, 1.32–3.76) and access to clinic/doctor (adjusted OR, 1.93; 95% CI, 1.28–2.90) had significantly greater odds than teachers without these concerns of having food insecurity. Teachers whose fruit and vegetable consumption increased and teachers whose consumption decreased as a result of the COVID-19 pandemic had significantly greater odds than teachers whose consumption stayed the same of experiencing food insecurity (adjusted OR, 1.77; 95% CI, 1.17–2.68 and adjusted OR, 2.97; 95% CI, 1.85–4.77, respectively).



Our findings showed a high prevalence (29.1%) of household food insecurity during the COVID-19 pandemic among elementary schoolteachers employed at schools participating in the Brighter Bites program. Moreover, a significant proportion of our teachers reported being stressed, having poor health, and having concerns about social determinants of health needs during this time. COVID-19 has resulted in many hardships, particularly for low-income and racial and ethnic minority groups in the US, who are historically at higher risk for food insecurity and disproportionately higher risk for negative health and economic outcomes (21). In March and April 2020, national estimates of food insecurity reached 38%, which tripled the average prevalence of food insecurity in the previous 5 years (22). During the pandemic-induced lockdown in 2020, schools in many countries closed for extended periods, and 468,800 employees in US public schools lost their jobs in April 2020 alone (23). Moreover, teachers earn 20% less than workers with similar education and experience, and up to one-quarter of teachers leave the profession every year (24). The COVID-19 pandemic could have further exacerbated financial challenges, potentially resulting in the food-related concerns we observed. Additionally, the high prevalence of food insecurity found in our study was likely further influenced by seasonality because households with children no longer had access to school meals during the summer months (25).

Our study found that food insecurity was associated with poor perceived health, greater mental stress, and concerns about social determinants of health; these findings concur with findings of previous studies (19,26). Seligman and Schillinger (27) presented a conceptual framework for how the combination of stress and food insecurity could affect health: families who are on a limited budget do not have the time and money needed for essential nutrition and medical care, which compounds the effect on health and health outcomes. Furthermore, the time and money needed to respond to health conditions further strains the household budget, causing the cycle to continue (27). Prior research demonstrated an association between the burden of chronic diseases and food insecurity (28). Numerous studies also reported that food insecurity was associated with an increased risk of adverse mental health outcomes, including generalized anxiety, stress, and posttraumatic stress disorder, both before and during COVID-19 (29,30). Food insecurity is also positively correlated with other social determinants of health, such as financial instability and changed employment status (31). Various studies, even pre-pandemic studies, demonstrated high levels of stress and burnout among US elementary schoolteachers (32). Furthermore, in the workplace, the pandemic has created stressful working conditions for teachers (33). Those results, along with the results of our study, highlight that psychosocial stress could lead to chronic absenteeism among teachers and affect the quality of education delivered at schools; the research also underscores an immediate need to implement evidence-based wellness strategies at the workplace and outside the workplace to address these concerns (33,34). Additionally, policy approaches are needed to address financial stress, such as increasing teacher salaries, establishing workplace policies to provide teachers with help in preventing or reducing stress and burnout, and providing strong professional development opportunities for all teachers across rich and poor school districts (35).

In our study, food-insecure teachers were more likely than food-secure teachers to change fruit and vegetable consumption in either a positive or negative direction. These results concur with those of recent studies that reported food-insecure respondents consumed fewer fruits and vegetables than food-secure respondents and were more likely to report decreasing their consumption after the pandemic began (36,37). Several factors may explain why fresh fruit and vegetable consumption decreased in the beginning of the pandemic, including low availability and poor quality, high price, reduced grocery shopping, and concerns about food contamination (38,39). Whether this behavioral change remained warrants investigation.

Finally, our results suggest the need for interventions to maintain teachers’ financial stability and improve their access to food and health care. Despite the strong evidence showing that participating in nutrition assistance programs improves food security as well as current and long-term health outcomes (40) and despite a high prevalence of food insecurity (29.1%) in our study population, we found that less than 10% of the teachers in our study were enrolled in a government assistance program (eg, WIC, SNAP benefits). Participation in government assistance programs such as SNAP could provide the critical access to food that teachers may need at this time. However, it is unclear whether the low participation rates reflect the lack of eligibility among our teacher population or whether other factors influence these participation rates. Results of our study underscore the need to explore these factors and improve access to these services in our teacher population. Although federally funded efforts (eg, Pandemic EBT [Electronic Benefits Transfer], summer food service programs) were deployed to assist children in continued access to affordable food, to our knowledge, no such efforts were available for schoolteachers, and as such they were not eligible to participate (41,42). Future policies should also include teachers in government assistance programs during times of crisis.

This study had several limitations. First, the Brighter Bites Teacher Survey was limited in the number of sociodemographic factors collected because of the main purpose of the survey, an interest in preventing a burden on respondents, and the nature of sensitive information. We did not collect data on several factors, such as household income, that would further our understanding of food insecurity status (43). Second, in this cross-sectional study, we collected responses from the survey at one point in time, which precludes causal interpretations. Moreover, the snapshot does not represent the long-term behavior of teachers; we were unable to assess any longitudinal behavior changes. To address this limitation to a certain extent, we included questions on “prior to school closure due to COVID-19” or “due to COVID-19” in half of the questions about fruit and vegetable consumption. Third, only a subgroup of teachers employed at schools implementing Brighter Bites completed the survey; therefore, findings from the convenience sample of teachers in our study may not be generalizable to the Brighter Bites teacher population or all elementary schoolteachers in the US. However, we had a 100% response rate at the school level.

Our study described the high prevalence of food insecurity and its associated factors, including poor general health, psychosocial stress, social determinants of health, and health behaviors among elementary schoolteachers during the COVID-19 pandemic. Future studies could further explore teachers’ experiences during the pandemic longitudinally and the need to provide institutional support to mitigate food insecurity and enable well-being among teachers.



We acknowledge the support of US Department of Agriculture SNAP–Education, the Michael & Susan Dell Center for Healthy Living, and Brighter Bites for their support on the project. We also acknowledge the participating schools and teachers for their participation. No copyrighted materials were used in this article.


Author Information

Corresponding Author: Shreela V. Sharma, PhD, RDN, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Herman Pressler RAS E-643, Houston, TX 77030. Telephone: 713-500-9344. Email: Shreela.V.Sharma@uth.tmc.edu.

Author Affiliations: 1Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas. 2Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas. 3Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas. 4Brighter Bites, Houston, Texas.



  1. National Center for Education Statistics. Fast facts: teacher characteristics and trends. 2021. Accessed August 8, 2021. https://nces.ed.gov/fastfacts/display.asp?id=28
  2. Otten JJ, Bradford VA, Stover B, Hill HD, Osborne C, Getts K, et al. The culture of health in early care and education: workers’ wages, health, and job characteristics. Health Aff (Millwood) 2019;38(5):709–20. CrossRefexternal icon PubMedexternal icon
  3. Swigonski NL, James B, Wynns W, Casavan K. Physical, mental, and financial stress impacts of COVID-19 on early childhood educators. Early Child Educ J 2021;49(5):799–806. CrossRefexternal icon PubMedexternal icon
  4. Nord M, Andrews M, Carlson S. Measuring food security in the United States: household food security in the United States, 2005. Economic Research Report Number 29. US Department of Agriculture, Economic Research Service; 2005.
  5. US Department of Agriculture, Economic Research Service. Food security and nutrition assistance. Accessed August 9, 2021. https://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/food-security-and-nutrition-assistance
  6. Sharma S, Dortch KS, Byrd-Williams C, Truxillio JB, Rahman GA, Bonsu P, et al. Nutrition-related knowledge, attitudes, and dietary behaviors among Head Start teachers in Texas: a cross-sectional study. J Acad Nutr Diet 2013;113(4):558–62. CrossRefexternal icon PubMedexternal icon
  7. Gundersen C, Ziliak JP. Food insecurity and health outcomes. Health Aff (Millwood) 2015;34(11):1830–9. CrossRefexternal icon PubMedexternal icon
  8. Jain S, Lall M, Singh A. Teachers’ voices on the impact of COVID-19 on school education: are ed-tech companies really the panacea? Contemp Educ Dialogue 2020;18(1):58–89. CrossRefexternal icon
  9. Ford TG, Kwon KA, Tsotsoros JD. Early childhood distance learning in the U.S. during the COVID pandemic: challenges and opportunities. Child Youth Serv Rev 2021;131:106297. CrossRefexternal icon
  10. Falk G, Romero PD, Nicchitta IA, Nyhof EC. Unemployment rates during the COVID-19 pandemic. 2021. Accessed August 9, 2021. https://sgp.fas.org/crs/misc/R46554.pdf
  11. Steiner ED, Woo A. Job-related stress threatens the teacher supply: key findings from the 2021 State of the U.S. Teacher Survey. Santa Monica (CA): RAND Corporation; 2021.
  12. Ramezani Ahmadi A, Heshmat R, Vedadhir A, Sobhani R, Ahmadi Taheri S, Pouraram H. Food insecurity is related to women’s mental and physical health in Babolsar, Iran. Nutr Food Sci Res. 2017;4(3):3–10. CrossRefexternal icon
  13. Hernandez DC, Reesor LM, Murillo R. Food insecurity and adult overweight/obesity: gender and race/ethnic disparities. Appetite 2017;117:373–8. CrossRefexternal icon PubMedexternal icon
  14. Sharma SV, Markham C, Chow J, Ranjit N, Pomeroy M, Raber M. Evaluating a school-based fruit and vegetable co-op in low-income children: a quasi-experimental study. Prev Med 2016;91:8–17. CrossRefexternal icon PubMedexternal icon
  15. Hoelscher DM, Springer AE, Ranjit N, Perry CL, Evans AE, Stigler M, et al. Reductions in child obesity among disadvantaged school children with community involvement: the Travis County CATCH Trial. Obesity (Silver Spring) 2010;18(Suppl 1):S36–44. CrossRefexternal icon PubMedexternal icon
  16. Coker C, Shelnutt K, Headrick L, Sari H, Hart C. Youth understanding MyPlate improves behaviors of elementary school students. J Nutr Educ Behav 2016;48(7):S22–3. CrossRefexternal icon
  17. Hager ER, Quigg AM, Black MM, Coleman SM, Heeren T, Rose-Jacobs R, et al. Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics 2010;126(1):e26–32. CrossRefexternal icon PubMedexternal icon
  18. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav 1983;24(4):385–96. CrossRefexternal icon PubMedexternal icon
  19. 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:E119. CrossRefexternal icon PubMedexternal icon
  20. RTI International. RTI surveyed 1,000 Americans about awareness, perceptions of COVID-19. RTI International. Accessed February 22, 2022. https://www.rti.org/focus-area/coronavirus-united-states-survey
  21. Wolfson JA, Leung CW. Food insecurity during COVID-19: an acute crisis with long-term health implications. Am J Public Health 2020;110(12):1763–5. CrossRefexternal icon PubMedexternal icon
  22. Fitzpatrick KM, Harris C, Drawve G, Willis DE. Assessing food insecurity among US adults during the COVID-19 pandemic. J Hunger Environ Nutr 2020;16(1):1–18. CrossRefexternal icon
  23. Economic Policy Institute. Public education job losses in April are already greater than in all of the Great Recession. Published June 3, 2020. Accessed August 9, 2021. https://www.epi.org/blog/public-education-job-losses-in-april-are-already-greater-than-in-all-of-the-great-recession
  24. Hadavi T. 2020 has shone a light on the importance of good teachers, but many are paid less than a living wage in the U.S. CNBC. Published December 11, 2020. Accessed August 9, 2021. https://www.cnbc.com/2020/12/11/why-teachers-salaries-are-so-low-in-the-us.html
  25. Huang J, Barnidge E, Kim Y. Children receiving free or reduced-price school lunch have higher food insufficiency rates in summer. J Nutr 2015;145(9):2161–8. CrossRefexternal icon PubMedexternal icon
  26. Darling KE, Fahrenkamp AJ, Wilson SM, D’Auria AL, Sato AF. Physical and mental health outcomes associated with prior food insecurity among young adults. J Health Psychol 2017;22(5):572–81. CrossRefexternal icon PubMedexternal icon
  27. Seligman HK, Schillinger D. Hunger and socioeconomic disparities in chronic disease. N Engl J Med 2010;363(1):6–9. CrossRefexternal icon PubMedexternal icon
  28. Tarasuk V, Mitchell A, McLaren L, McIntyre L. Chronic physical and mental health conditions among adults may increase vulnerability to household food insecurity. J Nutr 2013;143(11):1785–93. CrossRefexternal icon PubMedexternal icon
  29. Wolfson JA, Garcia T, Leung CW. Food insecurity is associated with depression, anxiety, and stress: evidence from the early days of the COVID-19 pandemic in the United States. Health Equity 2021;5(1):64–71. CrossRefexternal icon PubMedexternal icon
  30. Whittle HJ, Sheira LA, Wolfe WR, Frongillo EA, Palar K, Merenstein D, et al. Food insecurity is associated with anxiety, stress, and symptoms of posttraumatic stress disorder in a cohort of women with or at risk of HIV in the United States. J Nutr 2019;149(8):1393–403. CrossRefexternal icon PubMedexternal icon
  31. Riches G. Thinking and acting outside the charitable food box: hunger and the right to food in rich societies. Dev Pract 2011;21(4–5):768–75. CrossRefexternal icon
  32. Hagermoser Sanetti LM, Boyle AM, Magrath E, Cascio A, Moore E. Intervening to decrease teacher stress: a review of current research and new directions. Contemp Sch Psychol 2021;2(4):416–25.
  33. Southern Education Foundation. Teacher stress and burnout: the high cost of low social and emotional development. Published July 2021. Accessed September 11, 2021. https://www.southerneducation.org/publications/teacher-stress-and-burnout
  34. Odebode AA. Influence of psychosocial factors on job performance of female teachers in Kwara State, Nigeria. Int J Instruction 2018;11(3):233–48. CrossRefexternal icon
  35. Adamson F, Darling-Hammond L. Addressing the inequitable distribution of teachers: what it will take to get qualified, effective teachers in all communities. Stanford Center for Opportunity Policy in Education. Published December 2011. Accessed August 11, 2021. https://edpolicy.stanford.edu/sites/default/files/publications/addressing-inequitable-distribution-teachers-what-it-will-take-get-qualified-effective-teachers-all-_1.pdf
  36. Ebadi N, Ahmadi D. Association between food insecurity and low fruit and vegetable intake in the UK in 2016: a cross-sectional study. Lancet 2019;394:S36. CrossRefexternal icon
  37. Litton MM, Beavers AW. The relationship between food security status and fruit and vegetable intake during the COVID-19 pandemic. Nutrients 2021;13(3):1–14. CrossRefexternal icon PubMedexternal icon
  38. Mead D, Ransom K, Reed SB, Sager S. The impact of the COVID-19 pandemic on food price indexes and data collection. US Bureau of Labor Statistics. Monthly Labor Review; 2020. Accessed August 8, 2021. https://www.bls.gov/opub/mlr/2020/article/the-impact-of-the-covid-19-pandemic-on-food-price-indexes-and-data-collection.htm
  39. Graham L. Why are some grocery store shelves still empty and what’s up with those unfamiliar brands? Michigan Radio. Published May 6, 2020. Accessed February 8, 2022. https://www.michiganradio.org/economy/2020-05-06/why-are-some-grocery-store-shelves-still-empty-and-whats-up-with-those-unfamiliar-brands
  40. Keith-Jennings B, Llobrera J, Dean S. Links of the Supplemental Nutrition Assistance Program with food insecurity, poverty, and health: evidence and potential. Am J Public Health 2019;109(12):1636–40. CrossRefexternal icon PubMedexternal icon
  41. Texas Health & Human Services Commission. Pandemic-EBT (P-EBT) due to COVID-19. Accessed February 8, 2022. https://www.hhs.texas.gov/services/health/coronavirus-covid-19/coronavirus-covid-19-information-people-receiving-services/pandemic-ebt-p-ebt-due-covid-19
  42. Benefits.gov. Summer food service program for Texas. Accessed February 22, 2022. https://www.benefits.gov/benefit/1754
  43. Fafard St-Germain AA, Tarasuk V. Homeownership status and risk of food insecurity: examining the role of housing debt, housing expenditure and housing asset using a cross-sectional population-based survey of Canadian households. Int J Equity Health 2020;19(1):5. CrossRefexternal icon PubMedexternal icon



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Table 1. Characteristics of Teachers Participating in the Brighter Bites Teacher Survey (N = 685), by Food Insecurity Status, in 5 US Locales, 2020
Variable No. (%)a P valueb
Overall Food secure Food insecure
Food insecurity status 685 (100.0) 486 (70.9) 199 (29.1)
Male 93 (13.8) 58 (12.1) 35 (17.9) .05
Female 582 (86.2) 420 (87.9) 162 (82.2)
Race and ethnicity
Black or African American 105 (16.5) 74 (16.5) 31 (16.6) <.001
Mexican American, Latino, or Hispanic 261 (41.0) 162 (36.1) 99 (52.9)
Otherc 53 (8.3) 30 (6.7) 23 (12.3)
White 217 (34.1) 183 (40.8) 34 (18.2)
City or region of residence
Austin, Texas 27 (4.0) 21 (4.3) 6 (3.0) .64
Dallas, Texas 228 (33.3) 161 (33.2) 67 (33.7)
Houston, Texas 257 (37.6) 175 (36.1) 82 (41.2)
Southwest Floridad 82 (12.0) 62 (12.8) 20 (10.0)
District of Columbia 90 (13.2) 66 (13.6) 24 (12.1)
Role at school
Teaching faculty 625 (91.2) 444 (91.4) 181 (91.0) .87
Administration 60 (8.8) 42 (8.6) 18 (9.0)
Years working in the current position
<5 338 (53.8) 236 (53.6) 102 (54.3) .89
≥5 290 (46.2) 204 (46.4) 86 (45.7)
Psychosocial factors
Self-described general health
  Poor 5 (0.7) 4 (0.8) 1 (0.5) .03e
  Fair 100 (14.6) 59 (12.1) 41 (20.6)
  Good 299 (43.6) 219 (45.1) 80 (40.2)
  Very good 205 (29.9) 142 (29.2) 63 (31.7)
  Excellent 76 (11.1) 62 (12.8) 14 (7.0)
  Never/almost never 100 (14.6) 87 (17.9) 13 (6.5) <.001e
  Sometimes 258 (37.7) 190 (39.1) 68 (34.2)
  Fairly often/very often 327 (47.7) 209 (43.0) 118 (59.3)
Concerns about social determinants of health
  Financial stability 271 (39.6) 132 (27.2) 139 (69.8) <.001
  Changed employment status 163 (23.8) 89 (18.3) 74 (37.2) <.001
  Availability of food 157 (22.9) 75 (15.4) 82 (41.2) <.001
  Affordability of food 193 (28.2) 91 (18.7) 102 (51.3) <.001
  Availability/affordability of housing 87 (12.7) 38 (7.8) 49 (24.2) <.001
  Access to transportation 39 (5.7) 12 (2.5) 27 (13.6) <.001f
  Access to childcare 76 (11.1) 43 (8.8) 33 (16.6) .003
  Access to clinic/doctor 162 (23.6) 97 (20.0) 65 (32.7) <.001
Behavioral factors
Received Brighter Bites produce bags
  Yes 657 (95.9) 464 (95.5) 193 (97.0) .52f
  No 28 (4.1) 22 (4.5) 6 (3.0)
Fruit and vegetable intake as a result of Brighter Bites
  Increased 467 (71.2) 307 (66.3) 160 (82.9) <.001f
  Decreased 3 (0.5) 1 (0.2) 2 (1.0)
  Stayed the same 186 (28.4) 155 (33.5) 31 (16.1)
Fruit and vegetable consumption during COVID-19 pandemic
  Increased 221 (32.3) 144 (29.6) 77 (38.7) <.001
  Decreased 134 (19.6) 77 (15.8) 57 (28.6)
  Stayed the same 330 (48.2) 265 (54.5) 65 (32.7)
Participation in government assistance programs
  WIC 11 (1.6) 7 (1.4) 4 (2.0) .74f
  SNAP benefits 8 (1.2) 2 (0.4) 6 (3.0) .009f
  Free or reduced-price meals at school 36 (5.3) 16 (3.3) 20 (10.0) <.001

Abbreviations: —, does not apply, SNAP, Supplemental Nutrition Assistance Program; WIC, Special Supplemental Nutrition Program for Women, Infants, and Children.
a Not all values in categories add to value in column header because not all survey participants answered all questions. Percentages are based on number of survey participants who answered question.
b Compared food-secure participants and food-insecure participants. P value calculated by using χ2 test unless specified otherwise; significant at P < .05.
c Includes Asian/Pacific Islander and mixed race.
d Southwest Florida includes Immokalee.
e Cochran–Armitage trend exact test.
f Fisher exact test.

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Table 2. Associations Between Psychosocial and Behavioral Factors and Food Insecurity Among Teachers Participating in the Brighter Bites Teacher Survey (N = 685), 5 US Locales, 2020a
Variables Unadjusted GLMM model Adjusted GLMM modelb
OR (95% CI) P valuec Adjusted OR (95% CI) P valuec
Self-reported general health
Good (good, very good, or excellent) 1 [Reference] 1 [Reference]
Not good (fair or poor) 1.79 (1.16–2.76) .008 1.84 (1.15–2.92) .01
Never/almost never 1 [Reference] 1 [Reference]
Sometimes 2.40 (1.26–4.57) .008 2.80 (1.41–5.57) .003
Fairly often/very often 3.80 (2.03–7.10) <.001 4.74 (2.41–5.57) <.001
Financial stability
No 1 [Reference] 1 [Reference]
Yes 6.20 (4.31–8.91) <.001 6.29 (4.24–9.34) <.001
Changed employment status
No 1 [Reference] 1 [Reference]
Yes 2.63 (1.82–3.81) <.001 2.46 (1.65–3.67) <.001
Availability of food
No 1 [Reference] 1 [Reference]
Yes 3.83 (2.63–5.58) <.001 3.54 (2.35–5.33) <.001
Affordability of food
No 1 [Reference] 1 [Reference]
Yes 4.55 (3.18–6.53) <.001 4.33 (2.91–6.44) <.001
Availability and/or affordability of housing
No 1 [Reference] 1 [Reference]
Yes 3.84 (2.42–6.11) <.001 4.11 (2.44–6.94) <.001
Access to transportation
No 1 [Reference] 1 [Reference]
Yes 6.19 (3.06–12.50) <.001 6.27 (2.92–13.47) <.001
Access to childcare
No 1 [Reference] 1 [Reference]
Yes 2.04 (1.25–3.33) .004 2.23 (1.32–3.76) .003
Access to clinic/doctor
No 1 [Reference] 1 [Reference]
Yes 1.94 (1.34–2.81) <.001 1.93 (1.28–2.90) .002
Fruit and vegetables consumption as a result of the COVID-19 pandemic
Stayed the same 1 [Reference] 1 [Reference]
Increased 2.17 (1.47–3.20) <.001 1.77 (1.17–2.68) .007
Decreased 3.01 (1.94–4.66) <.001 2.97 (1.85–4.77) <.001

Abbreviations: GLMM, generalized linear mixed models; OR, odds ratio.
a Austin, Texas; Dallas, Texas; Houston, Texas; Southwest Florida (Immokalee); District of Columbia.
b Adjusted for sex, race and ethnicity, and city or region.
c P value calculated by using GLMM. Significant at P < .05.


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Page last reviewed: May 26, 2022