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Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic
OBJECTIVES: The prevalence and severity of food insecurity exists disproportionately among different population groups in the United States, with the potential to exacerbate health disparities among at-risk communities. Overall food insecurity has increased during the COVID-19 pandemic, but whether...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193564/ http://dx.doi.org/10.1093/cdn/nzac048.013 |
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author | Fan, Zhongqi Nguyen, Kimberly El-Abbadi, Naglaa Simpson, Ryan Zhou, Bingjie Rogers, Gail Chui, Kenneth Naumova, Elena |
author_facet | Fan, Zhongqi Nguyen, Kimberly El-Abbadi, Naglaa Simpson, Ryan Zhou, Bingjie Rogers, Gail Chui, Kenneth Naumova, Elena |
author_sort | Fan, Zhongqi |
collection | PubMed |
description | OBJECTIVES: The prevalence and severity of food insecurity exists disproportionately among different population groups in the United States, with the potential to exacerbate health disparities among at-risk communities. Overall food insecurity has increased during the COVID-19 pandemic, but whether this additional burden is experienced differentially among certain population groups requires further study. This study seeks to investigate the association between food insecurity and socioeconomic factors among the US population during the COVID-19 pandemic, comparing rate of food insecurity by age, gender, and racial groups to identify vulnerable populations. METHODS: Data from the 2020–21 US Census Bureau's Household Pulse Survey were used, from 06-January 2021 to 05-July 2021 (N = 884,695). The data were combined to increase the sample size and statistical power. Complex survey design was applied to represent the US population. The outcome of being food insecure was defined as “Sometimes/always don't have enough food to eat,” and a logistic regression model was fitted to show the association with sociodemographic factors. Proportion of participants reporting food insecurity were examined by age, gender, and racial group to identify the intersection of demographic factors with the highest food insecurity rate. RESULTS: We found that compared to males, females had higher likelihood of being food insecure (OR = 1.25, 95%CI:1.21,1.29); compared to 65+ years, people aged 25–39 years were more food insecure (OR = 3.3, 95%CI: 3.06,3.56); compared to white, the non-Hispanic black (NHB) shows an elevated likelihood of food insecurity (OR = 2.18, 95%CI: 2.1,2.27). We also found that the probability of food insecurity increases with more children in the household and decreases with higher education level. Among all job types, people who are self-employed had lowest likelihood of being food insecure. Loss of job was strongly associated with food insecurity (OR = 3.21, 95%CI: 3.10,3.31). The most vulnerable group was NHB, 25–39 years old, male, with a 24.8% (N = 3,857) rate of food insecurity. CONCLUSIONS: This analysis shows national food insecurity disparities among demographic and socioeconomic factors during the COVID-19 pandemic. Future research aims to examine how the additional burden from COVID-19 was managed by communities identified as most at-risk. FUNDING SOURCES: N/A. |
format | Online Article Text |
id | pubmed-9193564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91935642022-06-14 Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic Fan, Zhongqi Nguyen, Kimberly El-Abbadi, Naglaa Simpson, Ryan Zhou, Bingjie Rogers, Gail Chui, Kenneth Naumova, Elena Curr Dev Nutr COVID-19 and Nutrition OBJECTIVES: The prevalence and severity of food insecurity exists disproportionately among different population groups in the United States, with the potential to exacerbate health disparities among at-risk communities. Overall food insecurity has increased during the COVID-19 pandemic, but whether this additional burden is experienced differentially among certain population groups requires further study. This study seeks to investigate the association between food insecurity and socioeconomic factors among the US population during the COVID-19 pandemic, comparing rate of food insecurity by age, gender, and racial groups to identify vulnerable populations. METHODS: Data from the 2020–21 US Census Bureau's Household Pulse Survey were used, from 06-January 2021 to 05-July 2021 (N = 884,695). The data were combined to increase the sample size and statistical power. Complex survey design was applied to represent the US population. The outcome of being food insecure was defined as “Sometimes/always don't have enough food to eat,” and a logistic regression model was fitted to show the association with sociodemographic factors. Proportion of participants reporting food insecurity were examined by age, gender, and racial group to identify the intersection of demographic factors with the highest food insecurity rate. RESULTS: We found that compared to males, females had higher likelihood of being food insecure (OR = 1.25, 95%CI:1.21,1.29); compared to 65+ years, people aged 25–39 years were more food insecure (OR = 3.3, 95%CI: 3.06,3.56); compared to white, the non-Hispanic black (NHB) shows an elevated likelihood of food insecurity (OR = 2.18, 95%CI: 2.1,2.27). We also found that the probability of food insecurity increases with more children in the household and decreases with higher education level. Among all job types, people who are self-employed had lowest likelihood of being food insecure. Loss of job was strongly associated with food insecurity (OR = 3.21, 95%CI: 3.10,3.31). The most vulnerable group was NHB, 25–39 years old, male, with a 24.8% (N = 3,857) rate of food insecurity. CONCLUSIONS: This analysis shows national food insecurity disparities among demographic and socioeconomic factors during the COVID-19 pandemic. Future research aims to examine how the additional burden from COVID-19 was managed by communities identified as most at-risk. FUNDING SOURCES: N/A. Oxford University Press 2022-06-14 /pmc/articles/PMC9193564/ http://dx.doi.org/10.1093/cdn/nzac048.013 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | COVID-19 and Nutrition Fan, Zhongqi Nguyen, Kimberly El-Abbadi, Naglaa Simpson, Ryan Zhou, Bingjie Rogers, Gail Chui, Kenneth Naumova, Elena Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title | Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title_full | Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title_fullStr | Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title_full_unstemmed | Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title_short | Disparities in Food Insecurity During the Coronavirus Disease 2019 Pandemic |
title_sort | disparities in food insecurity during the coronavirus disease 2019 pandemic |
topic | COVID-19 and Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193564/ http://dx.doi.org/10.1093/cdn/nzac048.013 |
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