Food Insecurity during the First Year of COVID-19: Employment and Sociodemographic Factors among Participants in the CHASING COVID Cohort Study

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Citation

Ng, Yvette; Chang, Mindy; Robertson, McKaylee; Grov, Christian; Maroko, Andrew; Zimba, Rebecca; Westmoreland, Drew; Rane, Madhura; Mirzayi, Chloe; & Parcesepe, Angela M., et al. (2023). Food Insecurity during the First Year of COVID-19: Employment and Sociodemographic Factors among Participants in the CHASING COVID Cohort Study. Public Health Reports, 138(4), 671-680. PMCID: PMC10200805

Abstract

OBJECTIVE: While much has been reported about the impact of the COVID-19 pandemic on food insecurity, longitudinal data and the variability experienced by people working in various industries are limited. This study aims to further characterize people experiencing food insecurity during the pandemic in terms of employment, sociodemographic characteristics, and degree of food insecurity.
METHODS: The study sample consisted of people enrolled in the Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study from visit 1 (April-July 2020) through visit 7 (May-June 2021). We created weights to account for participants with incomplete or missing data. We used descriptive statistics and logistic regression models to determine employment and sociodemographic correlates of food insecurity. We also examined patterns of food insecurity and use of food support programs.
RESULTS: Of 6740 participants, 39.6% (n = 2670) were food insecure. Non-Hispanic Black and Hispanic (vs non-Hispanic White) participants, participants in households with children (vs no children), and participants with lower (vs higher) income and education levels had higher odds of food insecurity. By industry, people employed in construction, leisure and hospitality, and trade, transportation, and utilities industries had the highest prevalence of both food insecurity and income loss. Among participants reporting food insecurity, 42.0% (1122 of 2670) were persistently food insecure (

URL

http://dx.doi.org/10.1177/00333549231170203

Reference Type

Journal Article

Year Published

2023

Journal Title

Public Health Reports

Author(s)

Ng, Yvette
Chang, Mindy
Robertson, McKaylee
Grov, Christian
Maroko, Andrew
Zimba, Rebecca
Westmoreland, Drew
Rane, Madhura
Mirzayi, Chloe
Parcesepe, Angela M.
Kulkarni, Sarah G.
Salgado-You, William
Cohen, Nevin
Nash, Denis

Article Type

Regular

PMCID

PMC10200805

Data Set/Study

Communities, Households and SARS/CoV-2 Epidemiology (CHASING) COVID Cohort Study

Continent/Country

United States

State

Nonspecific

Race/Ethnicity

Hispanic
Asian
Black
White

ORCiD

Parcesepe - 0000-0002-4321-125x