Evidence map›Paper›PMID 42196738›Full record

ArticleInternational journal of environmental research and public health2026

African American Food Environments and Anti-Inflammatory Intake in Pregnancy.

Najjuwah Walden, Rachel Tabak, Derek S Brown, Joan Luby, Barbara Warner, Tara Smyser, Cynthia Rogers, Deanna Barch, Sarah K England, Tonni Oberly and 2 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Najjuwah WaldenDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0002-9487-5857
Rachel TabakSchool of Public Health, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0003-2967-3906
Derek S BrownSchool of Public Health, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0001-9908-9882
Joan LubyDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
Barbara WarnerDepartment of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0002-9910-4461
Tara SmyserDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
Cynthia RogersDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
Deanna BarchDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.
Sarah K EnglandDepartment of Obstetrics & Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0003-4247-0281
Tonni OberlyCollege of Public Health, The Ohio State University, Columbus, OH 43210, USA.
Christopher SmyserDepartment of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
Lora IannottiSchool of Public Health, Washington University in St. Louis, St. Louis, MO 63110, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
March of Dimes Prematurity Research Center N/ANCATS NIH HHS TL1 TR002344NCATS NIH HHS UL1 TR002345NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092950NIMH NIH HHS 5 R01 MH113883-04
6 · The paper itself

Abstract

Understanding the spatial determinants of food intake is crucial for establishing links between maternal food environments, diet, and health outcomes. Therefore, this study aimed to identify how the distance and density of built food environments in proximity to African American pregnant women living in urban settings are associated with nutrient-dense, anti-inflammatory food intake. We hypothesized that living closer to grocery stores and farther from fast-food restaurants and convenience stores is associated with increased intake. We also hypothesized that higher grocery-store density and a lower density of fast-food restaurants and convenience stores is associated with increased intake. Using cross-sectional data from the Early Life Adversity, Biological Embedding (eLABE) and Risk for Developmental Precursors of Mental Disorders Study, as well as geographic information system (GIS) data and linear regression analyses, we examined the relationships between the built food environment and food intake in the St. Louis metropolitan area, adjusting for covariates. This analysis revealed that shorter distance to fast-food restaurants and longer distance to grocery stores were associated with higher legume intake in adjusted models. These findings highlight nuanced and counterintuitive associations, underscoring the need for additional research to understand why more distant grocery stores and closer fast-food restaurants are linked to higher legume intake among African Americans.

Indexed as

Black or African AmericanDietFood SupplyAdultCross-Sectional StudiesFast FoodsFemaleHumansMissouriPregnancyRestaurantsYoung Adultconvenience storedietfast-foodfood environmentfood intakegrocery storeprenatal healthurban health

Identifiers

PMID42196738
PMCPMC13206721

What OpenQuestion holds

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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.