Evidence map›Paper›PMID 41111261›Full record

ArticleAmerican journal of epidemiology2026

Applying mixtures methodology to analyze how exposure to structural racism and economic disadvantage affect perinatal health outcomes: an ECHO study.

Dana E Goin, Ronel Ghidey, Holly Schuh, Lorraine T Dean, Emily Barrett, Theresa M Bastain, Jessie P Buckley, Nicole R Bush, Marie Camerota, Kecia N Carroll and 27 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

37 authors.

Dana E GoinDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0002-7557-7977
Ronel GhideyECHO Data Analysis Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Holly SchuhDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Emily BarrettDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States.
Theresa M BastainDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States.
Jessie P BuckleyDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Nicole R BushDepartment of Psychiatry and Behavioral Sciences and Department of Pediatrics, UCSF, San Francisco, CA, United States.
Marie CamerotaDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, United States.
Kecia N CarrollDivision of General Pediatrics, Department of Pediatrics and Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Nicholas CragoeBeckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Lara J CushingDepartment of Environmental Health Sciences, University of California Los Angeles, Los Angeles, CA, United States.ORCID 0000-0003-0640-6450
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0001-9514-8929
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States.
Stephanie M EickGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, United States.ORCID 0000-0001-6695-3291
Amy J ElliottCenter for Pediatric and Community Research, Avera Research Institute, Sioux Falls, SD, United States.
Tali FelsonDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Program on Reproductive Health and the Environment, School of Medicine, UCSF, San Francisco, CA, United States.
Sarah Dee GeigerDepartment of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Frank D GillilandDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States.
Tamarra James-ToddDepartment of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0003-3589-5169
Linda G KahnDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States.ORCID 0000-0002-6512-6160
Matt KasmanEconomic Studies, Brookings Institution, Washington, DC, United States.ORCID 0000-0002-0860-3442
Jordan R KuiperDepartment of Environmental and Occupational Health, The George Washington University Milken Institute School of Public Health, Washington, DC, United States.ORCID 0000-0002-4285-1562
Bennett LeventhalPsychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL, United States.
Maristella LucchiniDepartment of Psychiatry, Columbia University, New York, NY, United States.
Morgan NelsonCenter for Pediatric and Community Research, Avera Research Institute, Sioux Falls, SD, United States.
Gwendolyn NormanDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Chaela NutorDepartment of Psychology, Emory University, Atlanta, GA, United States.
T Michael O'SheaDepartment of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, United States.
Amy M PadulaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Program on Reproductive Health and the Environment, School of Medicine, UCSF, San Francisco, CA, United States.
Susan L SchantzBeckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Shilpi S Mehta-LeeDepartment of Obstetrics and Gynecology, NYU Langone Health, Brooklyn, NY, United States.
Benjamin SteigerDepartment of Environmental Health Sciences, Columbia University, New York, NY, United States.
Tracey J WoodruffDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Program on Reproductive Health and the Environment, School of Medicine, UCSF, San Francisco, CA, United States.
Rosalind J WrightDepartment of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Rachel A Morello-FroschDepartment of Environmental Science, Policy, and Management & School of Public Health, University of California, Berkeley, CA, United States.ORCID 0000-0003-1153-7287
ECHO Cohort Consortium+

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUH3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2018 to 2026
$64.8M
The NYU Children’s Health & Environment Study: an ECHO CohortUH3OD023305 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Akhgar Ghassabian, Leonardo Trasande · 2018 to 2026
$59.5M
Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
ECHO Laboratory Core at Vanderbilt for Integrated Sample Biobanking and ProcessingU24OD035523 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Suman Ranjan Das, NATASHA Bassam HALASA · 2023 to 2026
$32.8M
Environmental Influences on Childhood Outcomes in the Northern Plains Safe Passage Study CohortsUH3OD023279 · OD · AVERA MCKENNAN · PI Amy J Elliott, Christine W Hockett · 2018 to 2026
$31.7M
(Coordinating Center U24OD023382Data Analysis Center U24OD023319Environmental influences on Child Health Outcomes (ECHO) Program, Office of the Director, National Institutes of Health U2COD023375NCATS NIH HHS UL1 TR004419NIEHS NIH HHS P30 ES010126NIEHS NIH HHS U24 ES026539NIEHS NIH HHS U2C ES026533NIEHS NIH HHS U2C ES026542NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030851NIEHS NIH HHS U2C ES030857NIEHS NIH HHS U2C ES030859NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U24 OD035523NIH HHS U2C OD023375NIH HHS UG3 OD023248NIH HHS UG3 OD023288NIH HHS UG3 OD035508NIH HHS UG3 OD035509NIH HHS UG3 OD035513NIH HHS UG3 OD035516NIH HHS UG3 OD035517NIH HHS UG3 OD035518NIH HHS UG3 OD035519NIH HHS UG3 OD035521NIH HHS UG3 OD035526NIH HHS UG3 OD035527NIH HHS UG3 OD035528NIH HHS UG3 OD035529NIH HHS UG3 OD035532NIH HHS UG3 OD035533NIH HHS UG3 OD035536NIH HHS UG3 OD035537NIH HHS UG3 OD035540NIH HHS UG3 OD035542NIH HHS UG3 OD035543NIH HHS UG3 OD035544NIH HHS UG3 OD035546NIH HHS UG3 OD035550NIH HHS UH3 OD023244NIH HHS UH3 OD023248NIH HHS UH3 OD023249NIH HHS UH3 OD023251NIH HHS UH3 OD023253NIH HHS UH3 OD023268NIH HHS UH3 OD023271NIH HHS UH3 OD023272NIH HHS UH3 OD023275NIH HHS UH3 OD023279NIH HHS UH3 OD023282NIH HHS UH3 OD023285NIH HHS UH3 OD023286NIH HHS UH3 OD023287NIH HHS UH3 OD023288NIH HHS UH3 OD023289NIH HHS UH3 OD023290NIH HHS UH3 OD023305NIH HHS UH3 OD023313NIH HHS UH3 OD023318NIH HHS UH3 OD023320NIH HHS UH3 OD023328NIH HHS UH3 OD023332NIH HHS UH3 OD023337NIH HHS UH3 OD023342NIH HHS UH3 OD023344NIH HHS UH3 OD023347NIH HHS UH3 OD023348NIH HHS UH3 OD023349NIH HHS UH3 OD023365NIH HHS UH3 OD023389NIH HHS UH3 OD035509NIH HHS UH3 OD035518NIH HHS UH3 OD035519NIH HHS UH3 OD035521NIH HHS UH3 OD035526NIH HHS UH3 OD035528NIH HHS UH3 OD035529NIH HHS UH3 OD035536NIH HHS UH3 OD035542NIH HHS UH3 OD035543NIH HHS UH3 OD035546NIMH NIH HHS K01 MH129510Office of Behavioral and Social Science Research ES0266542Office of Behavioral and Social Science Research U24ES026539Office of Behavioral and Social Science Research U24OD035523Office of Behavioral and Social Science Research U2CES026533Office of Behavioral and Social Science Research U2CES026542Office of Behavioral and Social Science Research U2CES026555Office of Behavioral and Social Science Research U2CES026561Office of Behavioral and Social Science Research U2CES030851Office of Behavioral and Social Science Research U2CES030857Office of Behavioral and Social Science Research U2CES030859Office of Behavioral and Social Science Research UG3OD035508Office of Behavioral and Social Science Research UG3OD035509Office of Behavioral and Social Science Research UG3OD035513Office of Behavioral and Social Science Research UG3OD035516Office of Behavioral and Social Science Research UG3OD035517Office of Behavioral and Social Science Research UG3OD035518Office of Behavioral and Social Science Research UG3OD035519Office of Behavioral and Social Science Research UG3OD035521Office of Behavioral and Social Science Research UG3OD035526Office of Behavioral and Social Science Research UG3OD035527Office of Behavioral and Social Science Research UG3OD035528Office of Behavioral and Social Science Research UG3OD035529Office of Behavioral and Social Science Research UG3OD035532Office of Behavioral and Social Science Research UG3OD035533Office of Behavioral and Social Science Research UG3OD035536Office of Behavioral and Social Science Research UG3OD035537Office of Behavioral and Social Science Research UG3OD035540Office of Behavioral and Social Science Research UG3OD035542Office of Behavioral and Social Science Research UG3OD035543Office of Behavioral and Social Science Research UG3OD035544Office of Behavioral and Social Science Research UG3OD035546Office of Behavioral and Social Science Research UG3OD035550Office of Behavioral and Social Science Research UG3/UH3OD023244Office of Behavioral and Social Science Research UG3/UH3OD023248Office of Behavioral and Social Science Research UG3/UH3OD023249Office of Behavioral and Social Science Research UG3/UH3OD023251Office of Behavioral and Social Science Research UG3/UH3OD023253Office of Behavioral and Social Science Research UG3/UH3OD023272Office of Behavioral and Social Science Research UG3/UH3OD023275Office of Behavioral and Social Science Research UG3/UH3OD023279Office of Behavioral and Social Science Research UG3/UH3OD023282Office of Behavioral and Social Science Research UG3/UH3OD023285Office of Behavioral and Social Science Research UG3/UH3OD023288Office of Behavioral and Social Science Research UG3/UH3OD023289Office of Behavioral and Social Science Research UG3/UH3OD023290Office of Behavioral and Social Science Research UG3/UH3OD023305Office of Behavioral and Social Science Research UG3/UH3OD023313Office of Behavioral and Social Science Research UG3/UH3OD023337Office of Behavioral and Social Science Research UG3/UH3OD023342Office of Behavioral and Social Science Research UG3/UH3OD023344Office of Behavioral and Social Science Research UG3/UH3OD023348Office of Behavioral and Social Science Research UG3/UH3OD023349Office of Behavioral and Social Science Research UG3/UH3OD023365Office of Behavioral and Social Science Research UG3/UH3OD023389Office of Behavioral and Social Science Research UH3OD023268Office of Behavioral and Social Science Research UH3OD023271Office of Behavioral and Social Science Research UH3OD023286Office of Behavioral and Social Science Research UH3OD023287Office of Behavioral and Social Science Research UH3OD023318Office of Behavioral and Social Science Research UH3OD023320Office of Behavioral and Social Science Research UH3OD023328Office of Behavioral and Social Science Research UH3OD023332Office of Behavioral and Social Science Research UH3OD023347
6 · The paper itself

Abstract

Our objective was to examine the role of structural racism and economic disadvantage in perinatal health inequities using the Environmental influences on Child Health Outcomes Cohort. Participants' addresses were linked to area-level measures of life expectancy, education, unemployment, health insurance, jail rate, segregation, and housing cost burden. We created absolute measures to represent economic disadvantage and relative measures comparing values for Black or Latinx people to White people in the same area to represent structural racism. We used quantile G-computation to estimate the effects of a one-quartile increase in all exposures simultaneously on fetal growth and gestational age measures. A one-quartile increase in economic disadvantage was associated with a reduction in birthweight [(-25.65 grams, 95% CI (-45.83, -5.48)], but not gestational age [-0.02 weeks, 95% CI (-0.13, 0.09)]. With a one-quartile increase in Latinx-White structural racism, we observed reductions in birthweight [-80.83, 95% CI (-143.42, -18.23)] among Latinx participants. A one-quartile increase in Black-White structural racism was weakly associated with lower birthweight among Black participants [-15.70, 95% CI (-82.89, 51.48)] but was associated with higher birthweight among White participants [57.47, 95% CI (13.26, 101.67)]. Our findings suggest co-occurring forms of structural inequity likely influence racialized disparities in fetal growth outcomes.

Indexed as

Health Status DisparitiesRacismAdultBirth WeightBlack or African AmericanFemaleFetal DevelopmentGestational AgeHispanic or LatinoHumansInfant, NewbornPregnancyPregnancy OutcomeSocioeconomic FactorsWhite Peopledisparitiesperinatal healthpreterm birthsocial determinants of healthstructural racism

Identifiers

PMID41111261
PMCPMC13063399

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