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    Food insecurity and COVID-19 food-related perceptions practices and problems: A three-state descriptive study

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    food-insecurity-and-covid-19-food-related-perceptions-practices-and-problems-a-three-state-descriptive-study.pdf (330.8Kb)
    Links to Files
    https://www.cambridge.org/core/journals/disaster-medicine-and-public-health-preparedness/article/food-insecurity-and-covid19-foodrelated-perceptions-practices-and-problems-a-threestate-descriptive-study/D15AA3CC414E3CEE2BB0112D15984253
    Permanent Link
    https://doi.org/10.1017/dmp.2022.250
    http://hdl.handle.net/11603/26375
    Collections
    • UMBC Emergency Health Services Department
    • UMBC Faculty Collection
    Metadata
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    Author/Creator
    Koyratty, Nadia
    Clay, Lauren
    Penta, Samantha
    Silver, Amber
    Author/Creator ORCID
    https://orcid.org/0000-0001-6035-6920
    https://orcid.org/0000-0003-3334-9666
    Date
    2022-11-03
    Type of Work
    24 pages
    Text
    journal articles
    postprints
    Citation of Original Publication
    Koyratty, Nadia, Lauren Clay, Samantha Penta, and Amber Silver. "Food Insecurity and COVID-19 Food-related Perceptions Practices and Problems: A Three-state Descriptive Study." Disaster Medicine and Public Health Preparedness, 2022, 1-24. doi:10.1017/dmp.2022.250.
    Rights
    This accepted version of the article may differ from the final published version. This is an Accepted Manuscript for Disaster Medicine and Public Health Preparedness as part of the Cambridge Coronavirus Collection. © 2022 Society for Disaster Medicine and Public Health, Inc.
    Access to this item will begin on 05-03-2023
    Abstract
    Objective: To compare food insecurity (FI) risk, and food-related COVID-19 infection risk perceptions, practices, and problems (3P) in Washington (WA), New York (NY) and Louisiana (LA). Methods: Data from the RAPID Multi-Wave Risk Perception Study was collected via online surveys between 19 May to 14 July 2020 (N=1260). Multivariable-adjusted logistic and ordinal regressions were performed for odds of FI risk and 3P during these early months of the pandemic. Results: The determinants of FI risk in all states included income, age, and employment. Some determinants were state-specific: households with members at high risk for COVID-19 (WA and NY), ethnicity (NY), education and relationship status (LA). The odds of FI risk were higher among those who perceived higher likelihood of COVID-19 infection via in-store shopping (OR=1.34, 95%CI: 1.06, 1.70), and improperly cooked food (OR=1.87, 95%CI: 1.46, 2.41). FI risk was associated with higher odds of problems related to food affordability (OR=10.66, 95%CI: 7.87, 14.44), preference (OR=2.51, 95%CI: 1.86, 3.39), sufficiency (OR=2.63, 95%CI: 1.96, 3.54), food sources (OR=7.68, 95%CI: 5.73, 10.31), food storage capacity (OR=0.48, 95%CI: 0.36, 0.66), and knowing where to find help in obtaining food (OR=7.68, 95%CI: 5.73, 10.31), most of which did not differ by state. No association was found between food insecurity risk and food-related practices. Conclusion: Better food preparedness is needed to reduce FI risk during pandemics in specific groups in WA, NY, and LA. Specifically, food affordability, sufficiency, storage, sources and increasing knowledge on food programs are limitations that need to be addressed for emergency situations.


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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.