Evidence map›Paper›PMID 35987904›Full record

ArticleJournal of nutrition education and behavior2022

Geospatial Reach of the Maryland COVID-19 School Meals Response: Spring 2020.

Jared T McGuirt, Hannah Lane, M Chela Cooper, Leslie Sessoms-Parks, Ann Pulling Kuhn, Erin R Hager

Abstract read
In one paragraph

Article in Journal of nutrition education and behavior, 2022. 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. Observational
  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.

Jared T McGuirtDepartment of Nutrition, University of North Carolina Greensboro, Greensboro, NC. Electronic address: jtmcguir@uncg.edu.
Hannah LaneDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC.
M Chela CooperOffice of School and Community Nutrition Programs, Maryland State Department of Education, Baltimore, MD.
Leslie Sessoms-ParksOffice of School and Community Nutrition Programs, Maryland State Department of Education, Baltimore, MD.
Ann Pulling KuhnDepartment of Pediatrics, School of Medicine, University of Maryland, Baltimore, MD.
Erin R HagerDepartment of Pediatrics, School of Medicine, University of Maryland, Baltimore, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExamine characteristics of pandemic meal site (n = 602) location and meals served per site in Maryland, Spring 2020, following federal/state waivers for local meal site placement decision-making.

methodsUsing geographic information systems, we connected meal sites to census tract-level data and generated service areas from sites and distances from population-weighted census tract centroids to the closest pandemic meal site. Regression analysis determined associations of census tract pandemic meal site count and meals served per site with socioeconomic and demographic variables.

resultsCensus tracts with more meal sites were urban (P < 0.001), food deserts (P < 0.001), and had higher percentages of children in poverty (P < 0.001). Sites serving fewer meals were in food deserts (P < 0.001) and areas with more children in poverty (P < 0.001). CONCLUSIONS AND IMPLICATIONS: Waivers allowing local meal site placement decision-making supported meal sites in high-need areas. Geospatial approaches could optimize site locations to ensure maximum reach to populations in need. Additional supports may be needed to ensure children in poverty areas receive meals distributed at these sites.

Indexed as

COVID-19ChildHumansMarylandMealsPandemicsSchoolsCOVID-19GISpovertyschool mealsurban

Identifiers

PMID35987904
PMCPMC9385400

What OpenQuestion holds

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Registered trials

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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.