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

Author:

Ng Yvette1ORCID,Chang Mindy2,Robertson McKaylee2,Grov Christian23,Maroko Andrew24,Zimba Rebecca2,Westmoreland Drew2,Rane Madhura2,Mirzayi Chloe25,Parcesepe Angela M.267,Kulkarni Sarah2,Salgado-You William2,Cohen Nevin1,Nash Denis25

Affiliation:

1. Graduate School of Public Health and Health Policy, Urban Food Policy Institute, City University of New York, New York, NY, USA

2. Institute for Implementation Science in Population Health, City University of New York, New York, NY, USA

3. Department of Community Health and Social Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA

4. Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA

5. Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA

6. Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

7. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

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 (≥4 consecutive visits) and 43.9% (1172 of 2670) did not use any food support programs. Conclusions: The pandemic resulted in widespread food insecurity in our cohort, much of which was persistent. In addition to addressing sociodemographic disparities, future policies should focus on the needs of those working in industries vulnerable to economic disruption and ensure those experiencing food insecurity can access food support programs for which they are eligible.

Funder

National Institute of Allergy and Infectious Diseases

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health

Reference33 articles.

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5. Food Access Worries, Food Assistance Use, Purchasing Behavior, and Food Insecurity Among New Yorkers During COVID-19

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