Evidence map›Paper›PMID 39570591›Full record

ArticleJAMA network open2024

Prenatal Diet and Infant Growth From Birth to Age 24 Months.

Monique M Hedderson, Holly B Schuh, Emily A Knapp, Traci A Bekelman, Diane J Catellier, Matt Westlake, Kristen Lyall, Rebecca J Schmidt, Anne L Dunlop, Sarah S Comstock and 9 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

19 authors.

Monique M HeddersonDivision of Research and Center for Upstream Prevention of Adiposity and Diabetes Mellitus, Kaiser Permanente Northern California, Pleasanton.
Holly B SchuhDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Emily A KnappDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Traci A BekelmanLifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora.
Diane J CatellierRTI International, Research Triangle Park, North Carolina.
Matt WestlakeRTI International, Research Triangle Park, North Carolina.
Kristen LyallA.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania.
Rebecca J SchmidtDepartment of Public Health Sciences, University of California, Davis.
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia.
Sarah S ComstockDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing.
Leda ChatziDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles.
Katherine A SauderDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora.
Karen M SwitkowskiDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Pi-I Debby LinDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Lyndsay A AvalosDivision of Research and Center for Upstream Prevention of Adiposity and Diabetes Mellitus, Kaiser Permanente Northern California, Pleasanton.
Yeyi ZhuDivision of Research and Center for Upstream Prevention of Adiposity and Diabetes Mellitus, Kaiser Permanente Northern California, Pleasanton.
Assiamira FerraraDivision of Research and Center for Upstream Prevention of Adiposity and Diabetes Mellitus, Kaiser Permanente Northern California, Pleasanton.
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
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
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
NIAID NIH HHS K01 AI153558NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES036084NIEHS NIH HHS R24 ES028533NIEHS NIH HHS U24 ES026539NIEHS NIH HHS U24 ES028533NIEHS 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 OD023249NIH 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 OD035516NIH HHS UH3 OD035536
6 · The paper itself

Abstract

Importance: Being born either small for gestational age (SGA) or large for gestational age (LGA) and experiencing rapid or slow growth after birth are associated with later-life obesity. Understanding the associations of dietary quality during pregnancy with infant growth may inform obesity prevention strategies. Objective: To evaluate the associations of prenatal dietary quality according to the Healthy Eating Index (HEI) and the Empirical Dietary Inflammatory Pattern (EDIP) with infant size at birth and infant growth from birth to age 24 months. Design, Setting, and Participants: This cohort study used data from birthing parent-child dyads in 8 cohorts participating in the Environmental influences on Child Health Outcomes program between 2007 and 2021. Data were analyzed from March 2021 to August 2024. Exposures: The HEI and the EDIP dietary patterns. Main Outcomes and Measures: Outcomes of interest were infant birth weight, categorized as SGA, reference range, or LGA, and infant growth from birth to ages 6, 12, and 24 months, categorized as slow growth (weight-for-length z score [WLZ] score difference <-0.67), within reference range (WLZ score difference -0.67 to 0.67), or rapid (WLZ score difference, >0.67). Results: The study included 2854 birthing parent-child dyads (median [IQR] maternal age, 30 [25-34] years; 1464 [51.3%] male infants). The cohort was racially and ethnically diverse, including 225 Asian or Pacific Islander infants (7.9%), 640 Black infants (22.4%), 1022 Hispanic infants (35.8%), 664 White infants (23.3%), and 224 infants (7.8%) with other race or multiple races. A high HEI score (>80), indicative of a healthier diet, was associated with lower odds of LGA (adjusted odds ratio [aOR], 0.88 [95% CI, 0.79-0.98]), rapid growth from birth to age 6 months (aOR, 0.80 [95% CI, 0.37-0.94]) and age 24 months (aOR 0.82 [95% CI, 0.70- 0.96]), and slow growth from birth to age 6 months (aOR, 0.65 [95% CI, 0.50-0.84]), 12 months (aOR, 0.74 [95% CI, 0.65-0.83]), and 24 months (OR, 0.65 [95% CI, 0.56-0.76]) compared with an HEI score 80 or lower. There was no association between high HEI and SGA (aOR, 1.14 [95% CI, 0.95-1.35]). A low EDIP score (ie, ≤63.6), indicative of a less inflammatory diet, was associated with higher odds of LGA (aOR, 1.24 [95% CI, 1.13-1.36]) and rapid infant growth from birth to age 12 months (aOR, 1.50 [95% CI, 1.18-1.91]) and lower odds of rapid growth to age 6 months (aOR, 0.77 [95% CI, 0.71-0.83]), but there was no association with SGA (aOR, 0.80 [95% CI, 0.51-1.25]) compared with an EDIP score of 63.6 or greater. Conclusions and Relevance: In this cohort study, a prenatal diet that aligned with the US Dietary Guidelines was associated with reduced patterns of rapid and slow infant growth, known risk factors associated with obesity. Future research should examine whether interventions to improve prenatal diet are also beneficial in improving growth trajectory in children.

Indexed as

Child DevelopmentAdultBirth WeightChild, PreschoolCohort StudiesDietFemaleHumansInfantInfant, NewbornInfant, Small for Gestational AgeMalePregnancy

Identifiers

PMID39570591
PMCPMC11582932

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