Food Insecurity Trajectories in the US During the First Year of the COVID-19 Pandemic.


Journal

Preventing chronic disease
ISSN: 1545-1151
Titre abrégé: Prev Chronic Dis
Pays: United States
ID NLM: 101205018

Informations de publication

Date de publication:
19 01 2023
Historique:
entrez: 19 1 2023
pubmed: 20 1 2023
medline: 24 1 2023
Statut: epublish

Résumé

The objective of this study was to characterize population-level trajectories in the probability of food insecurity in the US during the first year of the COVID-19 pandemic and to examine sociodemographic correlates associated with identified trajectories. We analyzed data from the Understanding America Study survey, a nationally representative panel (N = 7,944) that assessed food insecurity every 2 weeks from April 1, 2020, through March 16, 2021. We used latent class growth analysis to determine patterns (or classes) of pandemic-related food insecurity during a 1-year period. We found 10 classes of trajectories of food insecurity, including 1 class of consistent food security (64.7%), 1 class of consistent food insecurity (3.4%), 5 classes of decreasing food insecurity (15.8%), 2 classes of increasing food insecurity (4.6%), and 1 class of stable but elevated food insecurity (11.6%). Relative to the class that remained food secure, other classes were younger, had a greater proportion of women, and tended to identify with a racial or ethnic minority group. We found heterogeneous longitudinal patterns in the development, resolution, or persistence of food insecurity during the first year of the COVID-19 pandemic. Experiences of food insecurity were highly variable across the US population, with one-third experiencing some form of food insecurity risk. Findings have implications for identifying population groups who are at increased risk of food insecurity and related health disparities beyond the first year of the pandemic.

Identifiants

pubmed: 36657063
doi: 10.5888/pcd20.220212
pii: E03
pmc: PMC9856052
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

E03

Subventions

Organisme : NIDA NIH HHS
ID : K01 DA043659
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG054580
Pays : United States

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Auteurs

Jin E Kim-Mozeleski (JE)

Prevention Research Center for Healthy Neighborhoods, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.
Case Western Reserve University, 11000 Cedar Ave, BioEnterprise Building, 4th Fl, Cleveland, OH 44106. Email: jin.kim-mozeleski@case.edu.

Stephanie N Pike Moore (SN)

Prevention Research Center for Healthy Neighborhoods, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.

Erika S Trapl (ES)

Prevention Research Center for Healthy Neighborhoods, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.

Adam T Perzynski (AT)

Center for Health Care Research and Policy, Case Western Reserve University at MetroHealth Medical Center, Cleveland, Ohio.

Janice Y Tsoh (JY)

Department of Psychiatry and Behavioral Sciences, University of California, San Francisco.

Douglas D Gunzler (DD)

Center for Health Care Research and Policy, Case Western Reserve University at MetroHealth Medical Center, Cleveland, Ohio.

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Classifications MeSH