Evidence map›Paper›PMID 37297472›Full record

ArticleFoods (Basel, Switzerland)2023

An Analysis of Socioeconomic Determinants of the Black-White Disparity in Food Insecurity Rates in the US.

Mya Price, Tia Jeffery

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Mya PriceCollege of Agriculture, Urban Sustainability, and Environmental Sciences, University of the District of Columbia, 4200, Connecticut Ave., Washington, DC 20008, USA.
Tia JefferyCollege of Agriculture, Urban Sustainability, and Environmental Sciences, University of the District of Columbia, 4200, Connecticut Ave., Washington, DC 20008, USA.ORCID 0000-0001-5627-392X
University of the District of Columbia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research has not fully explored socioeconomic factors that influence the Black-White food insecurity disparities at the state and county levels in the United States. The goal of this study was to identify socioeconomic determinants associated with the Black-White food insecurity gap in the US at the state and county levels with rigorous quantitative investigation. The 2019 Map the Meal Gap dataset and multivariate regression analyses were used to identify factors associated with the prevalence of the Black-White disparity in food insecurity rates. Unemployment rate and median income gaps were found to be the strongest predictors of the Black-White disparity in food insecurity and the Black food insecurity rates in both state- and county-level models. Specifically, a 1% increase in Black unemployment rate compared with White unemployment rate was associated with a 0.918% and 0.232% increase in the Black-White disparity in food insecurity on average at the state and county levels, respectively. This study highlights the potential root causes of food insecurity and significant socioeconomic determinants associated with the Black-White food insecurity gap at the state and county levels in the US. Policymakers and program creators should implement action plans to address the income disparities and reduce unemployment rates among Blacks to eradicate this gap and ensure equity in food access between Blacks and Whites.

Indexed as

food insecurityracial disparitiessocioeconomic status

Identifiers

PMID37297472
PMCPMC10252281
OpenAlexW4379229246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.