Abstract

ObjectiveTo examine socio-demographic disparities in food insecurity during the COVID-19 pandemic and the association between food insecurity and mental health among US adults overall and communities vulnerable to food insecurity. MethodsA cross-sectional study was conducted using the 2020–2021 National Health Interview Survey of 57,456 US adults. Weighted multivariable logistic regression models were used to estimate the association between food insecurity and anxiety or depression symptoms in overall US adults and subgroups including young adults (18–34 years), females, Hispanic people, non-Hispanic Black people, individuals with prior COVID-19 infection, the unemployed, low-income participants, participants with children, and Supplemental Nutrition Assistance Program (SNAP) participants. ResultsYoung or middle age, female sex, Hispanic/non-Hispanic Black/other race/ethnicity, lower education level, unmarried/other marital status, unemployment, being below the federal poverty level, and greater number of persons in the household were associated with food insecurity (AOR ranged from 1.35 to 2.70, all p < 0.05). Food insecurity was independently associated with anxiety (AOR = 2.67, 99 % CI: 2.33, 3.06) or depression (AOR = 3.04, 99 % CI: 2.60, 3.55) symptoms in the overall adults. Significant associations between food insecurity and anxiety or depression symptoms were also observed in all subgroups (AOR ranged from 1.95 to 3.28, all p < 0.0001). Compared with overall adults, the magnitude of the association was greater for participants with children, females (for depression only), and non-Hispanic Black people (for depression only). LimitationsThe cross-sectional design prevents inference of causality. ConclusionsComprehensive policies are needed to ensure accessible and affordable food resources to reduce disparities in food insecurity and improve mental health, especially for those socioeconomically disadvantaged communities.

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