Evidence map›Paper›PMID 37935347›Full record

Observational studyJournal of the Academy of Nutrition and Dietetics2024

Emergency Free School Meal Distribution During the COVID-19 Pandemic in High-Poverty Urban Settings.

Theresa Bui, Emily M Melnick, Daoqin Tong, Francesco Acciai, Michael J Yedidia, Punam Ohri-Vachaspati

Abstract readObservational Study
In one paragraph

Observational study in Journal of the Academy of Nutrition and Dietetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Theresa BuiCollege of Medicine, University of Arizona, Phoenix, Arizona.
Emily M MelnickCollege of Health Solutions, Arizona State University, Phoenix, Arizona. Electronic address: emily.melnick@asu.edu.
Daoqin TongSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona.
Francesco AcciaiCollege of Health Solutions, Arizona State University, Phoenix, Arizona.
Michael J YedidiaCenter for State Health Policy, Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, New Jersey.
Punam Ohri-VachaspatiCollege of Health Solutions, Arizona State University, Phoenix, Arizona.

Funding

The Impact of Covid-19 Related School Closures on Children's Weight StatusR01HD104708 · NICHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI OHRI-VACHASPATI, PUNAM · 2020 to 2024
$3.8M
NICHD NIH HHS R01 HD104708
6 · The paper itself

Abstract

backgroundThe 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.

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

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

settingMonthly 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 measuresMain 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.

resultsIn 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).

conclusionsFindings 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.

Indexed as

COVID-19Food ServicesChildEthnicityHumansMealsMinority GroupsPandemicsPovertyUnited StatesCOVID-19Food insecuritySchool mealsSeamless Summer OptionSummer Food Service Program

Identifiers

PMID37935347
PMCPMC11032230

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.