Evidence map›Paper›PMID 41095491›Full record

ArticleHealthcare (Basel, Switzerland)2025

Food Insecurity, Walkability, and Social Determinants of Health: A Cross-Sectional, County-Level Study of Associations with Maternal and Infant Mortality in the United States.

Brooklyn Stone, Azita Amiri, Shuang Zhao, Shima Hamidi, Paige Johnson, Debra Bruns

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brooklyn StoneCollege of Nursing, The University of Alabama in Huntsville, Huntsville, AL 35805, USA.
Azita AmiriCollege of Nursing, The University of Alabama in Huntsville, Huntsville, AL 35805, USA.
Shuang ZhaoDepartment of Political Science, The University of Alabama in Huntsville, Huntsville, AL 35899, USA.ORCID 0000-0002-3392-0554
Shima HamidiBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Paige JohnsonCapstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35487, USA.
Debra BrunsCapstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35487, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompared to other high-income countries, US women face higher maternal and infant mortality rates.

methodsThis study used structural equation modeling (SEM) to examine cross-sectional, county-level associations between structural and intermediary social determinants of health (SDOHs) and maternal and infant mortalities, based on the World Health Organization's Commission on Social Determinants of Health framework.

resultsOur findings suggest maternal mortality may be linked to increased food insecurity, food assistance, distance to obstetric care, and decreased walkability and marriage rates. Our modeling also points toward a connection between infant mortality and increased food insecurity, food assistance, Black race, mental distress, and decreased walkability, education, and income. SEM revealed significant direct and indirect effects of these SDOHs. Notably, food insecurity and walkability had direct associations with both maternal and infant mortality in both SEM models.

conclusionsThe findings underscore the need for policy, practice, and research efforts to address key SDOHs and reduce mortality disparities in the US.

Indexed as

distance to obstetricseducationfood assistancefood insecurityhousehold incomeinfant mortalitymarital statusmaternal mortalitymental distressraceSDOHsocial determinants of healthwalkability

Identifiers

PMID41095491
PMCPMC12523423

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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.