Demographic Determinants of Food Insecurity in Older Adults During the COVID-19 Pandemic

<b>Background:</b> The coronavirus disease 2019 (COVID-19) pandemic exacerbated food insecurity in the United States, with older adults facing heightened vulnerability due to fixed incomes, chronic illness, and limited mobility. <b>Methods:</b> A cross-sectional online survey was conducted with 4961 urban U.S. adults aged 65 and older. Food insecurity was assessed using the USDA Six-Item Short Form. Paired sample <i>t</i>-tests, chi-square tests, and multivariate logistic regression were used to examine demographic predictors of food insecurity before and during the pandemic. <b>Results:</b> Logistic regression indicated that race and income were significant predictors of food insecurity. African American and Hispanic participants were 92.1% and 126.4%, respectively, more likely to experience food insecurity than White participants (<i>p</i> < 0.001). Compared with those earning less than USD 50,000, participants earning USD 50,000-USD 100,000 and USD 100,000+ were 32.4% and 63.8% less likely to experience food insecurity (<i>p</i> < 0.001). Bivariate analyses showed that food insecurity increased most among African Americans (9.2%) and middle-income participants (USD 50,000-USD 100,000: 11.0%). Education did not remain significant in the adjusted model. <b>Conclusions:</b> Older adults of color and those with lower incomes were disproportionately impacted by food insecurity during the pandemic. The findings highlight the need for targeted, equity-driven policy responses to mitigate food insecurity in older adulthood.

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Publication Details

Journal
Nutrients
Published
2025-09-12
DOI
https://doi.org/10.3390/nu17182934
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
0.00
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article

Demographic Determinants of Food Insecurity in Older Adults During the COVID-19 Pandemic

Amy Schweitzer, Lillie Monroe-Lord, Tia Jeffery, Azam Ardakani et al.
Nutrients
Food Security and Health in Diverse Populations
article

Demographic Determinants of Food Insecurity in Older Adults During the COVID-19 Pandemic

Amy Schweitzer, Lillie Monroe-Lord, Tia Jeffery, Azam Ardakani, Phronie Jackson, Xuejing Duan, Elmira T. Asongwed, Elgloria A. Harrison, Eyerusalem Beza
article en

Abstract

<b>Background:</b> The coronavirus disease 2019 (COVID-19) pandemic exacerbated food insecurity in the United States, with older adults facing heightened vulnerability due to fixed incomes, chronic illness, and limited mobility. <b>Methods:</b> A cross-sectional online survey was conducted with 4961 urban U.S. adults aged 65 and older. Food insecurity was assessed using the USDA Six-Item Short Form. Paired sample <i>t</i>-tests, chi-square tests, and multivariate logistic regression were used to examine demographic predictors of food insecurity before and during the pandemic. <b>Results:</b> Logistic regression indicated that race and income were significant predictors of food insecurity. African American and Hispanic participants were 92.1% and 126.4%, respectively, more likely to experience food insecurity than White participants (<i>p</i> < 0.001). Compared with those earning less than USD 50,000, participants earning USD 50,000-USD 100,000 and USD 100,000+ were 32.4% and 63.8% less likely to experience food insecurity (<i>p</i> < 0.001). Bivariate analyses showed that food insecurity increased most among African Americans (9.2%) and middle-income participants (USD 50,000-USD 100,000: 11.0%). Education did not remain significant in the adjusted model. <b>Conclusions:</b> Older adults of color and those with lower incomes were disproportionately impacted by food insecurity during the pandemic. The findings highlight the need for targeted, equity-driven policy responses to mitigate food insecurity in older adulthood.

NutrientsVol. 17(18)
McDaniel College (US), Lehman College (US), City University of New York (US), University of the District of Columbia (US)
Openalex Percentile: Top 60%
Food Security and Health in Diverse Populations
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