Evidence map›Paper›PMID 42031491›Full record

ArticleBMJ open2026

Glycemia Range and Offspring Weight and adiposity in response To Human milk (GROWTH) study: protocol for an observational cohort designed to study lactational programming.

Jami L Josefson, Brigid Gregg, Sarbattama Sen, Kumaravel Rajakumar, Elisabeth C McGowan, Adin-Cristian Andrei, Aminata B Arend, Anne-Marie Rick, Emily Marshall, Karyna Caal and 1 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 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

11 authors.

Jami L JosefsonDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Brigid GreggDepartment of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.
Sarbattama SenWomen & Infants Hospital of Rhode Island, Providence, Rhode Island, USA.
Kumaravel RajakumarDepartment of Pediatrics, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Elisabeth C McGowanWomen & Infants Hospital of Rhode Island, Providence, Rhode Island, USA.
Adin-Cristian AndreiDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Aminata B ArendAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Anne-Marie RickDepartment of Pediatrics, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Emily MarshallAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Karyna CaalAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Daniel T RobinsonDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA daniel-robinson@northwestern.edu.ORCID http://orcid.org/0000-0003-2450-9680

Funding

The GROWTH Study, Glycemia Range and Offspring Weight and adiposity in response To Human milkR01HD109260 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Brigid Ellen Gregg, Jami L Josefson · 2023 to 2026
$7.6M
NICHD NIH HHS R01 HD109260
6 · The paper itself

Abstract

introductionMaternal human milk feedings continue an offspring's exposure to the programming stimuli of maternal metabolism during the postnatal period. While considerable research focuses on associations between in utero environments and offspring metabolic disease, few studies have been able to specifically measure how human milk composition modifies programming of children's growth in conjunction with comprehensive measures of maternal glycaemia during pregnancy. METHODS AND ANALYSIS: The Glycemia Range and Offspring Weight and adiposity in response To Human milk (GROWTH) Study is a longitudinal cohort enrolling women with a singleton pregnancy who (1) undergo serial testing of glycaemia during pregnancy and (2) are intending to provide their breast milk through direct breastfeeding or pumped milk as the primary nutrition for their infant. Enrolment started in October 2023 and is expected to be completed in December 2026. Key procedures include virtual lactation support visits, serial human milk sampling at three time points, maternal and infant blood sampling, serial maternal and child anthropometric measurements and diet assessment. After delivery, mother-child dyads are followed until children turn 2 years of age. The primary exposure variable is maternal glycaemia obtained from a fasting, 3 hour 100 g oral glucose tolerance test performed at 24-28 weeks of gestation, and the primary outcome measure is the composite of human milk linoleic and docosahexaenoic acid concentrations in milk samples collected at 1 month postpartum. ETHICS AND DISSEMINATION: Lurie Children's Hospital Institutional Review Board (IRB) provides central oversight of the GROWTH Study in conjunction with each participating centre's IRB. The GROWTH Study data has the potential to inform perinatal health and future research in lactation and human milk science by providing comprehensive measures of human milk composition and early childhood growth and body composition parameters impacted by maternal metabolism in pregnancy.

Indexed as

AdiposityBlood GlucoseLactationMilk, HumanAdultBreast FeedingChild DevelopmentChild, PreschoolDevelopmental Origins of Health and DiseaseFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleObservational Studies as TopicBlood GlucoseDiabetes in pregnancyInfantNUTRITION & DIETETICSObesity

Identifiers

PMID42031491
PMCPMC13110522

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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.