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Emergency Free School Meal Distribution During the COVID-19 Pandemic in High-Poverty Urban Settings - 18/04/24

Doi : 10.1016/j.jand.2023.11.006 
Theresa Bui, MS 1, Emily M. Melnick, PhD, MPH 2, , Daoqin Tong, PhD 3, Francesco Acciai, PhD 2, Michael J. Yedidia, PhD, MPH 4, Punam Ohri-Vachaspati, PhD, RD 2
1 College of Medicine, University of Arizona, Phoenix, Arizona 
2 College of Health Solutions, Arizona State University, Phoenix, Arizona 
3 School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona 
4 Center for State Health Policy, Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, New Jersey 

Address correspondence to: Emily M. Melnick, PhD, MPH, College of Health Solutions, Arizona State University, 550 N 3rd St, Phoenix, AZ 85004.College of Health SolutionsArizona State University550 N 3rd StPhoenixAZ85004

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Abstract

Background

The coronavirus disease 2019 pandemic triggered nationwide school closures in March 2020, putting millions of children in the United States who were reliant on subsidized school meals at risk of experiencing hunger. In response, the US Department of Agriculture mobilized the Summer Food Service Program and Seamless Summer Option program to provide emergency free school meals. There is a need to investigate the effectiveness of these programs in covering underresourced communities during the pandemic.

Objective

This study assessed associations between meal distribution and census tract demographics (ie, poverty level, race/ethnicity, and deprivation level based on social deprivation index score).

Design

An observational study using longitudinal meal distribution data collected over an 18-month period following school closures (March 2020 to August 2021).

Participants and setting

Monthly meal distribution data were collected for community sites serving 142 census tracts within 4 urban New Jersey cities predominantly populated by people with low incomes and from racial and ethnic minority groups.

Main outcome measures

Main outcome measures were the number of meals served monthly by Summer Food Service Program and Seamless Summer Option meal sites.

Statistical analyses performed

A 2-part multivariable regression approach was used to analyze the data.

Results

In the first step, logistic regression models showed that high-deprivation tracts were more likely to serve meals during the observed period (odds ratio 3.43, 95% CI 1.001 to 11.77; P = 0.0499). In the second step, among tracts that served any meals during the observed period, mixed effects negative binomial regression models showed that high-poverty and high-deprivation tracts served comparatively more meals (incidence rate ratio [IRR] 2.83, 95% CI 2.29 to 3.51; P < 0.001 and IRR 1.94, 95% CI 1.65 to 2.28; P < 0.001, respectively).

Conclusions

Findings show that meal distribution during the pandemic was higher within census tracts with higher poverty and deprivation levels, indicating that underresourced communities with higher need had more free meals available during this unprecedented public health emergency.

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Keywords : COVID-19, Food insecurity, School meals, Summer Food Service Program, Seamless Summer Option


Plan


 STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
 FUNDING/SUPPORT This research was supported by a grant from the Eunice Kennedy Shriver National Institute of Child Health & Human Development (No. R01HD104708).
 ACKNOWLEDGEMENTS The authors thank the staff at the New Jersey Department of Agriculture who provided us with meal site claims data, and research team members within the Arizona State University Food Policy and Environment Research Group who assisted with data entry.
 AUTHOR CONTRIBUTIONS T. Bui, E. Melnick, and P. Ohri-Vachaspati conceptualized the study. T. Bui wrote the first draft. All authors made substantial contributions to the study design, interpretation of results, and reviewed and commented on subsequent drafts of the manuscript. They gave final approval of the version to be published, agree to be accountable for all aspects of the work, and ensure that any potential questions related to the accuracy or integrity of any part of the work will be appropriately investigated and resolved.


© 2024  Academy of Nutrition and Dietetics. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 124 - N° 5

P. 636-643 - mai 2024 Retour au numéro
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