Evidence map›Paper›PMID 40911564›Full record

ArticlePloS one2025

Food access and associated socioeconomic factors in the Durham-Chapel Hill Metropolitan Statistical Area (MSA), North Carolina.

Zahra Al Hamdani, Matthew Jansen, Tia Marie Francis, Philip McDaniel, Lisa Jo Melnyk

Abstract read
In one paragraph

Article in PloS one, 2025. 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. Review
  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

5 authors.

Zahra Al HamdaniDepartment of Environmental Sciences and Engineering, 135 Dauer Drive, University of North Carolina- Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-3973-1452
Matthew JansenUniversity Libraries, Davis Library, 208 Raleigh St, University of North Carolina- Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-1594-8377
Tia Marie FrancisUniversity Libraries, Davis Library, 208 Raleigh St, University of North Carolina- Chapel Hill, North Carolina, United States of America.
Philip McDanielUniversity Libraries, Davis Library, 208 Raleigh St, University of North Carolina- Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-1099-737X
Lisa Jo MelnykDepartment of Environmental Sciences and Engineering, 135 Dauer Drive, University of North Carolina- Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-1500-9473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adversity of diet-related diseases is increased because of food insecurity . North Carolina is higher than the national average (11.7%) in food insecurity at 13.9%. The availability of healthy foods in households depends on the spatial access within the food environment where people reside or work. This study characterized the food environment, food access and associated socioeconomic factors in the Durham-Chapel Hill metropolitan statistical area (MSA) at a census block group level. Using GIS and statistical techniques, the average weighted median (AWM) was devised as measure of access for food outlets; associations between the AWM and socioeconomic variables were then investigated using multivariate regressions. For everyone in the MSA, the analysis showed lowest accessibility for fruit and vegetable markets (AWM = 2), and the highest accessibility for restaurants (AWM = 136). Relative to the White population, percentage point increase in the African American population in a block group led to a statistically significant increase in access to all categories of food outlets, with the highest increase in access of fruits and vegetable markets at 4% (p < 0.001). For every person increase in household size a decrease there was a decrease in the AWM of fruit and vegetable markets and food banks by 40%. The approach used in this study can be used in across localities measure access at a higher geographic granularity (block group level) and the associated sociodemographic factors. The results highlight disparities in food access which may require public health interventions.

Indexed as

Food InsecurityFood SupplyFamily CharacteristicsFruitHumansNorth CarolinaRestaurantsSocioeconomic FactorsVegetables

Identifiers

PMID40911564
PMCPMC12412965

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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.