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Article

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

1
Business and Data Analytics Department, The Greater Boston Food Bank, Boston, MA 02118, USA
2
Department of Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA 02114, USA
3
Division of Nutritional Sciences, College of Human Ecology, Cornell University, Ithaca, NY 14853, USA
4
Duke Divinity School, Duke University, Durham, NC 27708, USA
5
Department of Emergency Health Services, University of Maryland Baltimore County, Baltimore, MD 21250, USA
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(12), 2531; https://doi.org/10.3390/nu14122531
Submission received: 6 May 2022 / Revised: 12 June 2022 / Accepted: 16 June 2022 / Published: 18 June 2022

Abstract

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

1. Introduction

Food insecurity, which was experienced by 10.9% of Americans in 2019, is defined as a household-level economic and social condition of limited or uncertain access to adequate food [1,2]. Due to the economic repercussions of the COVID-19 pandemic, food insecurity increased in the United States for Black and Latino, but not White, households between 2019 and 2020 [3]. Charitable and federal food assistance programs grew considerably in response to increased economic need due to ramifications of the pandemic. Charitable food assistance use increased by 50%, with one in five people using food pantries and other private food assistance programs in 2020 [4]. In the United States, hundreds of food banks provide food to tens of thousands of food pantries, which serve local communities [5]. Food pantries are operated by a variety of organizations, including non-profit organizations, faith-based organizations, and community centers. The charitable food system serves as an emergency resource for those in need of food. As an example of the increased reliance on the charitable food system during the pandemic, The Greater Boston Food Bank (GBFB) reported that the number of people who received food assistance through its food pantry network doubled between May 2019 and May 2020. GBFB also reported a 58% increase in total pounds of food that it distributed to food pantries from March to December 2020 compared to the same period in 2019, highlighting the increased demand for charitable food assistance due to the pandemic [6]. Additionally, federal food assistance increased through the allocation of an extra USD 1 billion investment for The Emergency Food Access Program (TEFAP) and a 15% increase in Supplemental Nutrition Assistance Program (SNAP) benefits [7,8].
Although evidence indicates that food assistance programs are effective at reducing food insecurity [9,10,11], a high prevalence of food insecurity in the United States persists, particularly among people of color. Food insecurity prevalence is estimated to be three times higher among non-Hispanic Black households and two times higher among Hispanic households compared to non-Hispanic White households [3]. This discrepancy may be due in part to barriers that prevent equal access to food assistance programs [12,13,14]. For example, a study among Latin American immigrants in Toronto found that barriers to food access were, in part, due to language barriers leading to limited awareness of community food resources and limited availability of culturally preferred foods [15]. Previously identified barriers to food pantry use include a lack of knowledge regarding program location, the belief that one’s need is not high enough to justify pantry use, lack of resources (e.g., time and cooking equipment), special dietary needs, and experiences of discrimination [16,17,18,19]. While stigma is also a frequently cited barrier to food pantry use [19,20], one study found that there is less stigma among the public toward food pantries than food pantry users expect [21]. It is important to fully recognize and reduce these barriers to equitably increase access and reduce disparities in pantry use and food access. However, there is a lack of research in understanding racial and ethnic differences regarding barriers to food pantry access at the state level, particularly during the COVID-19 pandemic. This study hopes to add to the literature how barriers to food pantry use vary by race and ethnicity, particularly in a time of crisis, e.g., the COVID-19 pandemic. Past research on barriers to food pantries has either focused on a specific racial/ethnic group or the impact of the pandemic, but rarely both.
This study sought to better understand: (1) racial and ethnic disparities in food insecurity prevalence and (2) barriers to and experiences with food pantry use in Massachusetts to improve equitable access to food pantries. We hypothesize that racial/ethnic minorities have a higher prevalence of food insecurity and face more barriers in using food pantries.

2. Materials and Methods

2.1. Study Design and Participants

The MA Statewide Food Access Survey was modified from a survey developed by the National Food Access and Covid Research Team (NFACT) [22]. We conducted a cross-sectional survey of adults living in Massachusetts in 2020. Participants were recruited by Qualtrics, a survey research firm, to complete an online survey on food access and food security through the Qualtrics Panels Project between 19 October 2020 and 6 January 2021. The Qualtrics Panels Project allows for demographic quotas so that survey respondents represent the demographic distribution of a population of interest [23].
Adults aged 18 years or older, living in Massachusetts since at least 1 January 2020, and with the ability to complete the online survey in English or Spanish were eligible for participation. Low-income adults were oversampled (24% with household income <$25,000, 25% with income ≥$25,000 to <$50,000, 18% with income ≥$50,000 to <$75,000, 33% with income ≥$75,000) to obtain an adequate sample of those most likely in need of food assistance (Table A1). Of the 8690 survey entrants, 3150 (36%) completed the survey. The median survey completion time was 16 min. To eliminate those who sped through the survey, respondents who completed the survey more than two standard deviations below the median duration were excluded. A total of 118 responses were excluded due to poor data quality. Exclusion criteria are outlined in Appendix A. We further excluded 104 respondents with missing data on food security status for either the year before the pandemic or during the first year of the pandemic for a total of 2928 responses (Figure A1). The survey was offered in English and Spanish: 2907 respondents (99%) completed it in English, and 21 respondents (1%) completed it in Spanish.

2.2. Measures

The survey included questions on demographics, food assistance use, and facilitators and barriers to federal and charitable food assistance use. Many survey questions referred to reference periods of “the year before the pandemic” and “since the pandemic”. We defined the start of the COVID-19 pandemic as 11 March 2020, the day of the World Health Organization declaration [24]. We use “the year before the pandemic” to refer to March 2019–March 2020 and “since the pandemic”/“the first year of the pandemic” to refer to March 2020–January 2021.
Demographics: Participants were asked to self-identify their race. Due to small sample sizes in certain racial/ethnic groups, those who responded as Middle Eastern or North African (n = 16), American Indian or Alaskan Native (n = 35), Native Hawaiian or Pacific Islander (n = 1), or other/multiracial (n = 50) were categorized as “other” race. Hispanic/Latino was defined as any person identifying as Hispanic or Latino, regardless of belonging to any other racial or ethnic group.
Food insecurity: Food insecurity was measured using the USDA 6-item U.S. Household Food Security Survey Module with two reference periods: the year before the pandemic, which was recalled retrospectively, and the past 30 days [25].
Food pantry use: Respondents were asked whether they had used food pantries (yes/no) during the pandemic.
Barriers to and experiences with food pantry use: All participants were given six statements on potential barriers to food pantry use and asked to respond to each using a Likert Scale. Additionally, participants who reported food pantry use during the pandemic were given fifteen statements on their experiences with using food pantries and asked to respond to each using a Likert Scale. The response options were “Strongly agree”, “Agree”, “Disagree”, or “Strongly disagree”, which were dichotomized to a binary “Agree”/”Disagree” for analysis.

2.3. Statistical Analysis

All analyses were restricted to those who had non-missing data on food security status before and during the pandemic. Analyses on barriers to food pantry use were restricted to adults who experienced food insecurity during the pandemic but did not use food pantries during the pandemic (n = 498). Analyses on experiences with food pantries were restricted to adults who used food pantries during the pandemic, regardless of food security status (n = 520). Participants with incomplete data on the food pantry barriers and/or experiences questions (n = 272) were excluded from analysis.
We used a raking procedure to generate sampling weights using the anesrake R package and trimmed weights greater than five. Weights were calculated using demographic distributions of gender, age group, race/ethnicity, education, income category, and geographic region for adults in Massachusetts obtained from American Community Survey (ACS) data from the United States Census Bureau website and the tidycensus R package [26]. The demographic distribution of the weighted MA Statewide Food Access Study data closely matched the ACS data, with the largest difference being that the MA Statewide Food Access Study weighted data had an overrepresentation of adults with children (Table A1).
For results to be representative of the Massachusetts adult population, all point estimates, confidence intervals, and hypothesis tests were calculated using the survey R package to account for the sampling weights. Differences in food insecurity, food pantry use, food pantry experiences, and food pantry barriers by racial/ethnic group were evaluated using χ2 tests. We used logistic regression to examine differences in food pantry barriers and experiences by racial/ethnic group. We adjusted for income category, presence of children in household, age group, education, and gender. Refer to Table A1 for covariate categories.
Analyses were conducted using R version 4.1.0 (R Core Team, Vienna, Austria). Statistical significance was defined as a 2-sided p-value less than 0.05.

3. Results

3.1. Food Insecurity

Results from the survey indicated that food insecurity in Massachusetts increased from 19% in the year before the COVID-19 pandemic (retrospectively reported) to 30% during the first year of the pandemic (Table 1). Food insecurity increased across all racial and ethnic groups, with Black and Latino adults experiencing a significantly higher prevalence of food insecurity both before and during the pandemic compared to White adults. Asian adults experienced food insecurity levels similar to those of White adults before and during the pandemic. Additionally, Black and Latino adults experienced the largest absolute differences in food insecurity prevalence among all racial/ethnic groups at 14%. Adults with children in the household had a higher prevalence of food insecurity before the pandemic compared to adults without children in the household (27% vs. 14%), as well as during the pandemic (42% vs. 22%). The absolute difference in food insecurity for adults with children was 15%, whereas this difference for adults without children was 8%. Of Latino adults with children, 64% reported being food-insecure during the pandemic, significantly higher than the 36% of White adults with children reporting food insecurity during the same time period.

3.2. Food Pantry Use

Similar to the trends seen in food insecurity prevalence, food pantry use in Massachusetts increased from 9% in the year before the pandemic to 12% during the pandemic (Table 2). Among both Asian and White adults, food pantry use increased from 6% to 9%. The prevalence of food pantry use among Black adults increased from 20% to 26% and from 21% to 28% among Latino adults. Overall, food pantry use for Black and Latino adults was significantly higher compared to White adults. Among individuals experiencing food insecurity, only 27% reported using a food pantry before the pandemic. This increased slightly to 32% during the pandemic, with most food-insecure adults still not using food pantries. Among those experiencing food insecurity during the pandemic, Latino adults reported significantly higher usage of food pantries (41%) compared to White adults (29%).

3.3. Barriers to Food Pantries

Barriers to food pantry use among those who were food-insecure but not using pantries were reported with the following frequencies: not knowing when pantries are open (59%), feeling embarrassed to use a pantry (56%), inconvenient hours/location (55%), difficulties with traveling to the pantry (53%), worried that others would find out they use the pantry (48%), and not knowing pantry locations (42%) (Table 3, Figure A2). Frequency of reported barriers differed by race/ethnicity. In total, 56% of Latino adults reported not knowing where food pantries were located compared to 39% of White adults (aOR 2.98; 95% CI 1.25–7.10). Additionally, 74% of Latino adults did not know when the pantries were open, whereas 57% of White adults expressed the same concern (aOR 2.82; 95% CI 1.23–6.45). Regarding access to food pantries, 76% of Black and 62% of Latino adults reported that the hours were not convenient compared to 51% of White adults (Black aOR 4.73, 95% CI 1.68–13.30; Latino aOR 3.61, 95% CI 1.53–8.50). For barriers related to stigma, White adults generally reported higher levels of stigma than people of color for using food pantries. A total of 65% of White adults indicated that they would feel embarrassed to use pantries, while 37% of Black (aOR 0.27, 95% CI 0.10–0.76), 32% of Latino (aOR 0.28, 95% CI 0.13–0.64), and 33% of Asian (aOR 0.23, 95% CI 0.08–0.63) adults indicated the same.

3.4. Experiences with Food Pantries

Regarding stigma and inclusion, the majority of pantry users reported feeling welcome (89%), encountering staff who speak their language (84%), receiving food that aligns with cultural beliefs (80%), and not experiencing discrimination (79%) (Table 4, Figure A3). With respect to pantry satisfaction, most pantry users would recommend food pantries to others (89%), reported the hours are convenient (74%), and that the pantry does not run out of food (52%). However, a minority of pantry users found that the lines/wait times are not long (38%). Regarding food satisfaction, pantry users agreed that the food has been helpful (85%), they know how to prepare foods (79%), pantries provide food that their household likes to eat (77%), the food is good quality (75%), and pantries provide enough food (66%).
Experiences with food pantries among pantry users during the COVID-19 pandemic were similarly analyzed using multivariable logistic regressions to identify racial/ethnic differences in food pantry experiences. Only 73% of Latino and 65% of Asian adults reported encountering food pantry staff who speak their language, which is significantly less than the 90% of White adults reporting the same (Latino aOR 0.21, 95% CI 0.08–0.57; Asian aOR 0.09, 95% CI 0.02–0.57). Latino adults were also significantly less likely to recommend food pantries to others, with only 79% agreeing compared to 93% of White adults (aOR 0.29, 95% CI 0.10–0.88). In total, 84% of Asian adults agreed that the food at pantries was good-quality, which was significantly higher than the 76% of White adults who agreed with that statement (aOR 8.85, 95% CI 1.45–53.90).

4. Discussion

In this representative survey of Massachusetts residents, we observed an increase in food insecurity and food pantry use during the first year of the COVID-19 pandemic. These measures varied by race and ethnicity, with Black and Latino adults experiencing a significantly higher prevalence of food insecurity and food pantry use both in the year before and in the first year of the pandemic compared to White adults. Nearly one-third of food-insecure adults were not using food pantries, although use slightly increased during the pandemic. Among food-insecure individuals during the pandemic, certain barriers to food pantry use varied by race and ethnicity. Latino adults reported less knowledge regarding when pantries were open and where they were located; Black and Latino adults reported more difficulty accessing pantries in terms of transportation barriers and convenient locations/hours; and White adults reported higher levels of stigma surrounding food pantry use. Experiences with food pantries among pantry users during the COVID-19 pandemic also varied by race and ethnicity. Latino and Asian adults were less likely to encounter food pantry staff who spoke their language; Latino adults were less likely to recommend food pantries to others; and Asian adults were more likely to agree that the food is of good quality than White adults.
The increases that we find in food insecurity and food pantry use are consistent with other Massachusetts and nationwide surveys conducted during the COVID-19 pandemic [27,28,29]. Conversely, findings from the US Department of Agriculture (USDA) suggest that food insecurity in the United States remained stable from 2019 to 2020 [3]. Our findings may differ for several reasons. The results from the USDA are calculated from the Current Population Survey (CPS), which was conducted by telephone during the pandemic. Survey respondents may be less likely to be truthful during a telephone interview rather than an anonymous online survey due to stigma [30]. Additionally, the estimates in the present study may be slightly overestimated due to the weighted sample having a higher prevalence of households with children compared to the ACS data (Table A1). Since households with children are more likely to face food insecurity than households without children [3], this discrepancy may skew the estimates toward a higher percentage of the overall sample being food-insecure.
Racial disparities in food insecurity have been documented for many years and throughout different economic crises [14,31]. Structural racism contributes to and reinforces the disparately negative effects of food insecurity, which have been exacerbated by COVID-19 [32,33,34]. A study conducted in South Carolina with Black households found that a one-unit increase in a lifetime racial discrimination score was associated with a 5% increase in severe food insecurity when controlling for socioeconomic and demographic factors [35]. Although we find higher use of food pantries among Black and Latino adults compared to White adults, the present study shows that the disparities in food insecurity have persisted during the COVID-19 pandemic, with Black and Latino adults significantly more likely to experience food insecurity. The reasons for this are likely varied and complex. The racial differences in barriers to and experiences with food pantry use described in this study may be rooted in factors associated with poverty (e.g., transportation difficulties, childcare costs, and limited control over work schedules), which disproportionately impacts people of color. This in turn may hinder access to food pantries and contribute to these persistent racial disparities in food security. One study suggested that the concrete barriers to food pantry use, such as poor food quality and long lines, have different cultural interpretations [36]. For example, it found that concerns around long lines were more related to having to stand next to people deemed to be of lesser moral quality than the actual process of waiting a long time in line. The authors emphasized that understanding cultural differences in barriers and perceptions of barriers is crucial for fully understanding how to help people overcome these barriers.
Food banks and pantries could work towards alleviating these barriers by having additional or more varied hours of operation, particularly outside of standard work hours, providing home delivery or transportation, and engaging with people in their community with lived experiences to best understand how to provide food access in a culturally sensitive and convenient way. Additionally, while the responses to the stigma-related questions asked in this survey indicate that White people feel more stigma around using food pantries than people of color, an alternative interpretation is that historically marginalized groups are more open to support or have experience in accessing support more often than their White counterparts. Racial differences in stigma around food assistance have been previously noted. Welfare stigma has been associated with major depressive disorder in White, middle-aged, male, and able-bodied SNAP users, which suggests a deleterious effect of welfare stigma among those who are more likely to feel stigma due to stereotypical societal expectations [37]. These race-based differences regarding stigma towards food pantry use warrant further research to better understand why these discrepancies exist and how to combat them.

Limitations and Strengths

While our survey design allowed for a representative sample of Massachusetts adults, this limited the sample size of certain racial groups, particularly Asian adults and other racial groups not described in this analysis, due to the relative racial/ethnic homogeneity in Massachusetts, where 71.1% of the population are non-Hispanic/non-Latino White [38]. The quota sampling approach we employed to obtain a representative sample is not a probability-based sampling method, which may introduce selection bias. While we weighted the sample on certain demographic variables to be representative of the Massachusetts population to account for this potential bias, there may be unknown factors associated with survey completion that we did not account for or have information about when conducting the weighting procedure. As the survey was available only in English and Spanish, this likely resulted in underreporting certain barriers to and experiences with food pantries, such as encountering staff who speak their language and receiving food that is aligned with cultural beliefs. Additionally, the survey was only offered online and therefore was not available to those without access to computers or smartphones. However, a Pew survey of Americans in 2018 found high rates of internet access (89% of non-Hispanic White, 88% of Hispanic, and 87% of Black Americans), even among low-income populations (81% among households reporting incomes of $30,000 or less) [39]. Given the ongoing pandemic, using an online survey reduced health risks for both study participants and research staff while supporting timely data collection. A further limitation is that the survey required participants to recall food insecurity and food pantry use in the year prior to the COVID-19 pandemic, which introduces the possibility of issues with recall. We did not gain a full understanding of all potential barriers to pantry use because we had a pre-defined list of barriers for respondents to choose from. Strengths of the study include a large representative sample of the Massachusetts population and detailed data on food pantry barriers and experiences. Additionally, this cross-sectional survey provided an efficient way to obtain data to address the impact of COVID-19 on food insecurity and food access in a timely manner given the urgency of the situation. It also allowed us to assess several aspects related to hunger, such as food insecurity and food pantry barriers.

5. Conclusions

Any increases in food insecurity are worrisome as the repercussions can extend beyond hunger. Food insecurity has been found to increase the risk of negative health outcomes, including diabetes, hypertension, poorer mental health, and higher healthcare costs [40,41,42]. While we found an increase in the prevalence of food insecurity during the first year of the pandemic, our findings also raise concerns for the long-term negative health outcomes related to food insecurity and hunger, particularly among communities of color.
Many programs and policies can be enacted at the community, state, and federal level to support equitable anti-hunger efforts. Community-based efforts can work to raise public awareness to reduce stigma surrounding food insecurity and share existing resources for food and financial assistance programs. Additionally, these efforts can engage with or be led from within communities of color to amplify voices of diverse individuals, increase access to bilingual staff and volunteers at food pantries, ensure that all people are welcome, reinforce that no photo identification is needed at pantries, and train anti-hunger organization staff and volunteers on recognizing implicit bias and maintaining the dignity of those requiring assistance. Efforts at the state and federal level should continue to prioritize funding as well as extend food and financial assistance policies and infrastructure investments to equitably reduce food insecurity and poverty. Policies aimed at reducing the burden of unemployment, general poverty, and income inequality will also be key in ensuring equitable hunger relief and economic recovery from the pandemic [43]. Further, as those who were already vulnerable to food insecurity were particularly impacted by the pandemic [44], poverty-reducing measures could work to reduce the burden on the charitable food system during times of widespread economic hardship [45].
Given the cross-sectional nature of this study, the data represent one snapshot of food insecurity and barriers to food pantry use during the first year of the COVID-19 pandemic. As a result, future research should continue to assess the dynamic and inequitable effects of the pandemic on food insecurity and food assistance while also evaluating the impact of the new and expanded anti-hunger programs and policies at the community, state, and federal level. Studies that assess the effect of charitable and governmental responses during the pandemic on anti-hunger efforts will allow these agencies to be better equipped to respond in the event of a similar crisis. Additionally, research that explores the role of racialized stigma would be greatly beneficial to understand why certain barriers to food pantry exist for certain groups and how to best ameliorate them.

Author Contributions

Conceptualization, R.M.Z. and L.A.C.; methodology, J.P.M. and R.M.Z.; software, J.P.M., N.W.B. and R.M.Z.; validation, J.P.M. and R.M.Z.; formal analysis, J.P.M., R.M.Z. and N.W.B.; data curation, J.P.M., N.W.B. and R.M.Z.; writing—original draft preparation, J.P.M., R.M.Z. and L.F.; writing—review and editing, J.P.M., L.F., N.W.B., D.T., A.O.-Y., N.L.W., L.A.C. and R.M.Z.; visualization, J.P.M.; supervision, L.F. and R.M.Z.; funding acquisition, D.T. and R.M.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Stop & Shop and the Hunger to Health Collaboratory (H2HC). Dr. Fiechtner is supported by grant number K23HD090222 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Institutional Review Board Statement

Ethical review and approval were waived for this study by the Institutional Review Board at D’Youville College since subjects could not be identified, directly or through identifiers linked to the subjects, and any disclosure of the human subjects’ response outside the research could not reasonably place the subjects at risk of criminal or civil liability or be damaging to the subjects’ financial standing, employability, or reputation.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are contained within the article.

Acknowledgments

This research was conducted as part of the National Food Access and COVID Research Team (NFACT). To learn more, visit: www.nfactresearch.org.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Figure A1. Study flow diagram. * Poor data quality was defined as having non-sensical free-text responses, age below 18 or above 100, survey response information which differed greatly from the Qualtrics demographic information, or more than two data flags (e.g., respondent’s age does not match household composition, reported diaper insecurity without children in household, use of school meals program or WIC without children in household, reported using food pantry but state none of their groceries come from pantry, reported using some form of pandemic food assistance generally but reported not using any specific food assistance program).
Figure A1. Study flow diagram. * Poor data quality was defined as having non-sensical free-text responses, age below 18 or above 100, survey response information which differed greatly from the Qualtrics demographic information, or more than two data flags (e.g., respondent’s age does not match household composition, reported diaper insecurity without children in household, use of school meals program or WIC without children in household, reported using food pantry but state none of their groceries come from pantry, reported using some form of pandemic food assistance generally but reported not using any specific food assistance program).
Nutrients 14 02531 g0a1
Figure A2. Barriers to food pantry use among food-insecure adults not using pantries during the COVID-19 pandemic. Chi-square tests were performed for each statement for each racial/ethnic group compared to the white reference group; * indicates a p-value < 0.05.
Figure A2. Barriers to food pantry use among food-insecure adults not using pantries during the COVID-19 pandemic. Chi-square tests were performed for each statement for each racial/ethnic group compared to the white reference group; * indicates a p-value < 0.05.
Nutrients 14 02531 g0a2
Figure A3. Experiences with food pantries among food-insecure adults during the COVID-19 pandemic. Chi-square tests were performed for each statement for each racial/ethnic group compared to the white reference group; * indicates a p-value < 0.05.
Figure A3. Experiences with food pantries among food-insecure adults during the COVID-19 pandemic. Chi-square tests were performed for each statement for each racial/ethnic group compared to the white reference group; * indicates a p-value < 0.05.
Nutrients 14 02531 g0a3
Table A1. Demographic characteristics in the weighted and unweighted sample compared to demographic distribution in Massachusetts, n = 2928.
Table A1. Demographic characteristics in the weighted and unweighted sample compared to demographic distribution in Massachusetts, n = 2928.
VariableCategoryUnweighted %Weighted %Massachusetts (ACS) %
GenderFemale68.852.352.1
Male31.247.747.9
Age group, years18–3440.329.830.5
35–5434.932.432.4
55–6413.317.316.9
65+11.420.520.2
Race/ethnicityNon-Latino White74.674.974.2
Non-Latino Black6.86.56.6
Non-Latino Asian5.16.46.6
Latino10.09.910.2
Other or Multiracial3.52.42.4
Educational attainmentHigh school or less3.58.79.3
High school graduate (including GED)22.224.324.6
Some college (no degree)21.518.818.7
Associate degree/technical school/apprenticeship11.37.27.1
Bachelor’s degree26.223.523.1
Graduate degree15.317.617.3
Household income<$10,0008.63.23.6
$10,000 to $24,99915.17.87.9
$25,000 to $49,99925.413.814.0
$50,000 to $74,99917.814.013.9
$75,000 to $99,99912.012.912.7
$100,000 to $149,99913.621.120.7
$150,000 to $199,9994.412.111.7
$200,0003.015.215.4
RegionWestern (Berkshire, Franklin, Hampshire, Hampden)14.912.312.2
Central (Worcester)14.311.911.9
Boston (Suffolk, Norfolk)20.922.222.2
Northeast (Essex, Middlesex)31.234.634.6
Southeast (Bristol, Plymouth, Barnstable, Dukes, Nantucket)18.619.119.2
Children in householdYes37.237.531.9
ACS = American Community Survey.

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Table 1. Food insecurity prevalence before and in the first year of the pandemic overall and among those with and without children in the household by race/ethnicity.
Table 1. Food insecurity prevalence before and in the first year of the pandemic overall and among those with and without children in the household by race/ethnicity.
Food Insecurity 1 Race/Ethnicityn 2Before Pandemic 3 First Year of Pandemic 4 Absolute Difference
Prevalence (95% CI) p-Value Prevalence (95% CI) p-Value
Overall Overall 2826 19% (17–21%) 30% (27%–32%) 11%
White 218415% (13–17%)Ref24% (22%–27%)Ref 9%
Black 20031% (22–40%)<0.00145% (35%–55%)<0.00114%
Latino 29244% (35–53%)<0.00158% (49%–67%)<0.00114%
Asian 15016% (8–23%)0.82326% (17%–36%)0.66011%
Adults with children in the household Overall 105227% (23–31%) 42% (38%–47%) 15%
White 71721% (17–25%)Ref36% (31%–42%)Ref15%
Black 11336% (23–48%)0.24446% (32%–60%)0.34310%
Latino 171 47% (36–59%)<0.00164% (53%–75%)0.01516%
Asian 51 19% (7–31%)0.83430% (15%–45%)0.88211%
Adults without children in the household Overall 177414% (12–17%) 22% (20%–25%) 8%
White 146712% (10–14%)Ref19% (16%–22%)Ref7%
Black 8724% (12–36%)<0.00143% (28%–58%)<0.00119%
Latino 12137% (25–50%)<0.00148% (34%–61%)<0.00110%
Asian 9913% (3–23%)0.91524% (12%–36%)0.73311%
Chi-square tests with a p-value < 0.05 are bolded. 1 Food insecurity measured using the USDA 6-item U.S. Household Food Security Survey Module. 2 “Other” race/ethnicity (Middle Eastern or North African, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or other) not included in analysis; n = 102. 3 Before pandemic period defined as year before pandemic. 4 First year of pandemic period defined as after the WHO declaration of the COVID-19 pandemic on 11 March 2020 through the end of survey collection.
Table 2. Prevalence of food pantry use before and in the first year of the pandemic overall and among those experiencing food insecurity by race/ethnicity.
Table 2. Prevalence of food pantry use before and in the first year of the pandemic overall and among those experiencing food insecurity by race/ethnicity.
Food Pantry Use Race/EthnicityBefore Pandemic 2 First Year of Pandemic 3 Absolute Difference
n 1Prevalence (95% CI) p-Value n 1Prevalence (95% CI) p-Value
OverallOverall28269% (7–10%) 282612% (11%–14%) 4%
White21846% (5–7%)Ref21849% (7%–10%)Ref 3%
Black20020% (13–28%)<0.00120026% (17%–34%)<0.0015%
Latino29221% (14–28%)<0.00129228% (20%–35%)<0.0017%
Asian1506% (2–11%)0.8001509% (3%–15%)0.9462%
Adults with food insecurity Overall82527% (22–32%) 118832% (28%–36%) 5%
White57024% (18–29%)Ref84529% (24%–34%)Ref5%
Black8232% (18–46%)0.25210540% (26%–54%)0.1238%
Latino14232% (20–43%)0.18618641% (30%–52%)0.0429%
Asian3124% (1–47%)0.9625225% (7%–43%)0.6961%
Chi-square tests with a p-value < 0.05 are bolded. 1 “Other” (Middle Eastern or North African, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or other) race/ethnicity not included in analysis; n = 102. 2 Before pandemic period defined as year before pandemic. 3 First year of pandemic period defined as after the WHO declaration of the COVID-19 pandemic on 11 March 2020 through the end of survey collection.
Table 3. Crude and adjusted odds ratios for statements pertaining to food pantry barriers by race, n = 498.
Table 3. Crude and adjusted odds ratios for statements pertaining to food pantry barriers by race, n = 498.
DomainStatementRace 1% Agree 2Unadjusted Odds Ratio (95% CI) p-ValueAdjusted Odds Ratio (95% CI)p-Value
Knowledge I do not know where the pantries are located Overall 42%
White39%Ref Ref
Black50%1.55 (0.55–4.35) 0.4021.77 (0.64–3.84)0.274
Latino56%2.31 (1.06–5.07) 0.0362.98 (1.25–7.10)0.014
Asian33%0.80 (0.24–2.62) 0.7080.76 (0.24–2.35)0.629
I do not know when they are open Overall59%
White57%Ref Ref
Black63%1.43 (0.54–3.75)0.4691.40 (0.52–3.81)0.507
Latino74%2.24 (1.07–4.68)0.0322.82 (1.23–6.45)0.014
Asian42%0.62 (0.18–2.08)0.4360.59 (0.19–1.81)0.354
Access The hours and locations are not convenient Overall 55%
White51%Ref Ref
Black76%3.67 (1.40–9.62)0.0084.73 (1.68–13.30)0.003
Latino62%2.17 (1.00–4.70)0.0513.61 (1.53–8.50)0.003
Asian42%0.80 (0.24–2.69)0.7160.90 (0.32–2.56)0.848
It is difficult for me to travel to the pantryOverall 53%
White56%Ref Ref
Black34%0.44 (0.17–1.10)0.0780.50 (0.22–1.18)0.113
Latino55%0.91 (0.39–2.10)0.8260.84 (0.37–1.93)0.687
Asian57%1.10 (0.32–3.72)0.8801.26 (0.35–4.54)0.720
StigmaI am worried people will find out I use the pantryOverall 48%
White53%Ref Ref
Black40%0.62 (0.22–1.70)0.3490.42 (0.14–1.27)0.124
Latino36%0.47 (0.21–1.03)0.0580.49 (0.21–1.11)0.086
Asian450.78 (0.23–2.62)0.6830.58 (0.18–1.51)0.233
I would feel embarrassed to useOverall 56%
White65%Ref Ref
Black37%0.34 (0.12–0.96) 0.0410.27 (0.10–0.76)0.013
Latino32%0.23 (0.11–0.48)<0.0010.28 (0.13–0.64)0.002
Asian33%0.27 (0.09–0.84)0.0240.23 (0.08–0.63)0.004
Notes: The sample is restricted to those who report being food-insecure during the COVID-19 pandemic, but do not report using a food pantry. Models were adjusted for income, presence of children in household, gender, age, and education. Odds ratios with a p-value < 0.05 are bolded. 1 Sample sizes: Overall = 498; White = 359; Black = 44; Latino = 72; Asian = 23; Incomplete responses = 243. 2 % Agree is defined as the percentage of those selecting “Strongly Agree” or “Agree”.
Table 4. Crude and adjusted odds ratios for statements pertaining to food pantry experiences by race, n = 520.
Table 4. Crude and adjusted odds ratios for statements pertaining to food pantry experiences by race, n = 520.
DomainStatementRace 1% Agree 2 Unadjusted Odds Ratio (95% CI) p-Value Adjusted Odds Ratio (95% CI) p-Value
Stigma and InclusionFood aligns with cultural beliefsOverall80%
White81%Ref Ref
Black85%1.35 (0.52–3.51)0.5311.83 (0.67–5.00)0.241
Latino69%0.53 (0.23–1.25)0.1450.78 (0.32–1.91)0.592
Asian89%2.34 (0.31–17.80)0.4101.95 (0.30–12.90)0.488
Staff speaks my languageOverall84%
White90%Ref Ref
Black85%0.63 (0.20–1.94)0.4170.58 (0.20–1.71)0.323
Latino73%0.30 (0.12–0.76)0.0110.21 (0.08–0.57)0.002
Asian65%0.08 (0.02–0.36)0.0010.09 (0.02–0.57)0.010
I have not experienced discriminationOverall79%
White81%Ref Ref
Black78%0.82 (0.32–2.10)0.6780.94 (0.30–2.95)0.920
Latino76%0.73 (0.30–1.79)0.4880.69 (0.29–1.65)0.405
Asian77%0.35 (0.07–1.74)0.2000.48 (0.10–2.31)0.358
I don’t feel embarrassed to goOverall42%
White36%Ref Ref
Black47%1.61 (0.74–3.53)0.2321.50 (0.63–3.56)0.356
Latino47%1.62 (0.81–3.27)0.1751.70 (0.88–3.30)0.114
Asian63%3.41 (0.72–16.10)0.1214.00 (0.78–20.50)0.096
I feel welcomeOverall89%
White90%Ref Ref
Black87%0.76 (0.27–2.10)0.5901.27 (0.46–3.56)0.645
Latino84%0.60 (0.26–1.39)0.2300.88 (0.28–2.81)0.834
Asian99%7.34 (0.85–63.30)0.07022.50 (2.15–236.00)0.009
Pantry SatisfactionThe pantry does not run out of foodOverall52%
White55%Ref Ref
Black69%1.85 (0.82–4.17)0.1391.73 (0.70–4.28)0.232
Latino40%0.55 (0.27–1.09)0.0860.51 (0.25–1.04)0.066
Asian41%0.31 (0.08–1.14)0.0780.34 (0.09–1.29)0.112
The hours are convenientOverall74%
White77%Ref Ref
Black65%0.54 (0.23–1.27)0.1560.61 (0.25–1.52)0.290
Latino74%0.83 (0.41–1.69)0.6050.86 (0.41–1.79)0.680
Asian72%0.87 (0.15–5.09)0.8781.76 (0.29–10.70)0.536
The lines/wait times are not longOverall38%
White39%Ref Ref
Black39%1.00 (0.44–2.27)0.9991.00 (0.45–2.21)0.996
Latino38%0.97 (0.48–1.98)0.9370.79 (0.38–1.64)0.528
Asian31%0.85 (0.16–4.37)0.8411.13 (0.18–7.33)0.897
They don’t limit how often we can visitOverall48%
White47%Ref Ref
Black58%1.56 (0.71–3.40)0.2681.33 (0.58–3.05)0.503
Latino48%1.05 (0.52–2.13)0.8940.72 (0.35–1.49)0.380
Asian43%0.56 (0.14–2.20)0.4010.86 (0.21–3.50)0.829
I would recommend to othersOverall89%
White93%Ref Ref
Black91%0.71 (0.21–2.44)0.5821.07 (0.25–4.60)0.923
Latino79%0.28 (0.09–0.81)0.0200.29 (0.10–0.88)0.029
Asian82%0.23 (0.03–1.89)0.1710.41 (0.05–3.36)0.406
Food SatisfactionFood has been helpfulOverall85%
White87%Ref Ref
Black82%0.69 (0.26–1.86)0.4671.05 (0.34–3.25)0.928
Latino84%0.80 (0.28–2.34)0.6881.87 (0.57–6.14)0.299
Asian75%0.46 (0.06–3.40)0.4440.52 (0.06–4.73)0.558
Food that household likes to eatOverall77%
White77%Ref Ref
Black78%1.06 (0.42–2.72)0.8981.75 (0.64–4.79)0.272
Latino74%0.83 (0.35–1.98)0.6791.45 (0.58–3.60)0.425
Asian79%0.92 (0.13–6.64)0.9320.97 (0.08–11.20)0.979
Food is good qualityOverall75%
White76%Ref Ref
Black77%1.06 (0.42–2.64)0.9061.88 (0.72–4.91)0.199
Latino67%0.62 (0.27–1.42)0.2621.07 (0.47–2.45)0.870
Asian84%5.94 (1.27–27.70)0.0248.85 (1.45–53.90)0.018
Provides enough food Overall66%
White67%Ref Ref
Black68%1.03 (0.45–2.37)0.9470.98 (0.37–2.57)0.960
Latino64%0.87 (0.42–1.82)0.7120.85 (0.41–1.76)0.654
Asian59%1.16 (0.23–6.00)0.8571.61 (0.34–7.64)0.549
I know how to prepare the foodsOverall79%
White84%Ref Ref
Black89%1.53 (0.53–4.41)0.4262.77 (0.93–8.26)0.068
Latino64%0.34 (0.15–0.81)0.0150.83 (0.36–1.93)0.665
Asian73%0.41 (0.07–2.22)0.2980.47 (0.08–2.91)0.417
Notes: The sample is restricted to those who reported using a food pantry during the COVID-19 pandemic. Models were adjusted for income, presence of children in household, gender, age, and education. Odds ratios with a p-value < 0.05 are bolded. 1 Sample sizes: Overall = 520; White = 359; Black = 60; Latino = 85; Asian = 16; 2 % Agree is defined as the percentage of those selecting “Strongly Agree” or “Agree”.
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Marriott, J.P.; Fiechtner, L.; Birk, N.W.; Taitelbaum, D.; Odoms-Young, A.; Wilson, N.L.; Clay, L.A.; Zack, R.M. Racial/Ethnic Disparities in Food Pantry Use and Barriers in Massachusetts during the First Year of the COVID-19 Pandemic. Nutrients 2022, 14, 2531. https://doi.org/10.3390/nu14122531

AMA Style

Marriott JP, Fiechtner L, Birk NW, Taitelbaum D, Odoms-Young A, Wilson NL, Clay LA, Zack RM. Racial/Ethnic Disparities in Food Pantry Use and Barriers in Massachusetts during the First Year of the COVID-19 Pandemic. Nutrients. 2022; 14(12):2531. https://doi.org/10.3390/nu14122531

Chicago/Turabian Style

Marriott, James P., Lauren Fiechtner, Nick W. Birk, Daniel Taitelbaum, Angela Odoms-Young, Norbert L. Wilson, Lauren A. Clay, and Rachel M. Zack. 2022. "Racial/Ethnic Disparities in Food Pantry Use and Barriers in Massachusetts during the First Year of the COVID-19 Pandemic" Nutrients 14, no. 12: 2531. https://doi.org/10.3390/nu14122531

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