Evidence map›Paper›PMID 42796948›Full record

ArticleNutrients2026

Geographic and Environmental Differences in Associations Between Food Insecurity and Nutritional and Inflammatory Biomarkers Among Pregnant Participants in the

Alaijah Bashi, Viviane Schuch, Amber Dawning, Tyana T Joseph, Peter Baltrus, Carla J Moore, Erica L Johnson

Abstract read
In one paragraph

Article in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

7 authors.

Alaijah BashiMicrobiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Viviane SchuchMicrobiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Amber DawningMicrobiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.ORCID 0009-0005-1965-4041
Tyana T JosephMicrobiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.ORCID 0009-0009-3448-6823
Peter BaltrusCommunity Health and Preventative Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA.ORCID 0000-0001-9808-0501
Carla J MooreClinical Research Center, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Erica L JohnsonMicrobiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.ORCID 0000-0003-3230-8715

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
NCATS NIH HHS UL1 TR002378NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196NIMHD NIH HHS R01 MD017690NIMHD NIH HHS U54 MD007602
6 · The paper itself

Abstract

BACKGROUND/

objectivesFood insecurity (FI) affects a substantial proportion of pregnant individuals in the United States and varies across geographic contexts. Rural and urban communities differ in food access, socioeconomic conditions, and environmental exposures, yet how these differences relate to maternal biology remain misunderstood.

methodsThis study examined associations between FI, geographic context, and metabolic, nutritional, and inflammatory biomarkers among pregnant participants in the Southeastern United States (SE-US) using data from the

resultsThis study found that FI was more prevalent among rural participants than urban participants. However, in the overall cohort, FI was associated with higher body mass index, higher non-fasting glucose, higher C-reactive protein, and lower high-density lipoprotein cholesterol. Pregnant food-insecure participants also exhibited lower concentrations of vitamin B12, albumin, vitamin D, and folate, while ferritin did not differ. Stratified analyses demonstrated variability in these associations by urbanicity, with stronger and more consistent differences observed in urban populations and fewer significant differences in rural settings.

conclusionsLimitations of this study include potential residual confounding, EHR-related selection bias, exposure misclassification, and limited generalizability. Despite the limitations, recent self-reported household FI, assessed at enrollment and referring to the preceding 12 months, was associated with differences in several metabolic and nutritional biomarkers, with patterns varying by geographic context. Further longitudinal research is needed to clarify these associations and inform targeted interventions.

Indexed as

Food InsecurityInflammationNutritional StatusAdultBiomarkersFemaleFood SupplyHumansPregnancyRural PopulationSocioeconomic FactorsSoutheastern United StatesUnited StatesUrban PopulationYoung AdultBiomarkersfood environmentfood insecuritygeographic health disparitiesmaternal healthnutritional statuspregnancy outcomes

Identifiers

PMID42796948
PMCPMC13610282

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.