Evidence map›Paper›PMID 40189920›Full record

ArticleObesity (Silver Spring, Md.)2025

Sex-specific white matter alterations in children exposed to high pregestational BMI.

Samson Nivins, Jess Reynolds, Gerald F Giesbrecht, Deborah Dewey, Nicole Letourneau, Catherine Lebel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. 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

6 authors.

Samson NivinsDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-6777-9333
Jess ReynoldsThe Kids Research Institute Australia, The University of Western Australia, Perth, Western Australia, Australia.
Gerald F GiesbrechtDepartment of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Deborah DeweyDepartment of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Nicole LetourneauDepartment of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Catherine LebelDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.

Funding

Alberta Children's Hospital Research InstituteThe Canada Research Chair ProgramThe Jacobs FoundationThe Owerko Centre for Neurodevelopment and Mental Health
6 · The paper itself

Abstract

objectiveThis study investigated whether exposure to high pregestational BMI (≥ 25 kg/m

methodsA total of 90 children from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort underwent diffusion tensor imaging between ages 2 and 7 years. Data were processed using ExploreDTI to obtain mean fractional anisotropy (FA) and mean diffusivity (MD). Pregestational weight was self-reported by pregnant individuals, height was measured at enrollment, and child cognitive outcomes were assessed at ages 3 to 4 years using the Wechsler Preschool and Primary Scale of Intelligence.

resultsChildren exposed to high pregestational BMI had lower FA, but not higher MD, in the superior longitudinal fasciculus and in the body and splenium of the corpus callosum compared with unexposed children (BMI 18.5-24.9 kg/m

conclusionsHigh pregestational BMI was associated with alterations in white matter microstructure during early childhood in a sex-specific manner. Promoting healthy lifestyles and weight management among individuals of childbearing age is crucial.

Indexed as

Body Mass IndexWhite MatterAlbertaChildChild, PreschoolCognitionCorpus CallosumDiffusion Tensor ImagingFemaleHumansMaleOverweightPregnancySex Factors

Identifiers

PMID40189920
PMCPMC12119399

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.