Evidence map›Paper›PMID 41199269›Full record

ArticleBMC medicine2025

Maternal body mass index in early pregnancy and autism in offspring: a population-based cohort study in Sweden and Denmark.

Matilda Morin, Weiyao Yin, Heidi MacLean, Bernie Devlin, Abraham Reichenberg, Shanna H Swan, Joseph D Buxbaum, Diana Schendel, Martina Persson, Thomas Munk Laursen and 5 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

15 authors.

Matilda MorinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, 171 77, Sweden. matilda.morin@ki.se.
Weiyao YinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, 171 77, Sweden.
Heidi MacLeanDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Bernie DevlinDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Abraham ReichenbergSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, USA.
Shanna H SwanDepartment of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, USA.
Joseph D BuxbaumDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA.
Diana SchendelNational Center for Registry-Based Research, Aarhus University, Aarhus, Denmark.
Martina PerssonDivision of Pediatrics, Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden.
Thomas Munk LaursenNational Center for Registry-Based Research, Aarhus University, Aarhus, Denmark.
Alexander KolevzonDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA.
Jakob GroveDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Lambertus KleiDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Kathryn RoederDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Sven SandinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, 171 77, Sweden.

Funding

Autism Risk and Maternal Cardiometabolic Health (ARCH) studyR01HD098883 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI REICHENBERG, ABRAHAM, SCHENDEL, DIANA · 2019 to 2023
$3.4M
Autism in Preterm BirthR01HD113669 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sven Sandin · 2024 to 2026
$1.6M
Eunice Kennedy Shriver National Institute of Child Health and Human Development HD098883NICHD NIH HHS R01 HD098883NICHD NIH HHS R01 HD113669Vetenskapsrådet 2021-02141
6 · The paper itself

Abstract

backgroundElevated maternal pre-pregnancy body mass index (BMI) has been suggested to increase risk of offspring autism spectrum disorder (ASD) but evidence is mixed across heterogeneous studies and robust estimates spanning the full BMI range are lacking. This study examined the association between maternal BMI and offspring ASD in a harmonized, two-nation study and across the full BMI range.

methodsWe included all singleton children born in Denmark 2004-2018 and Sweden 1998-2019 to parents of Nordic origin (n = 2,072,445), with follow-up from age 2 until 31 December 2021, or 2022, respectively. Maternal BMI recorded at the first antenatal visit was obtained from the Swedish and Danish Medical Birth Registers and was analyzed as a continuous variable and in World Health Organization-defined categories of underweight (BMI < 18.5), normal weight (18.5-24.9), overweight (25-29.9), obese class I (30-34.9), and obese class II-III (≥ 35). The relative risk of ASD was estimated as hazard ratios (HR) from Cox regression models, adjusted for birth year and parental age, educational level, income, and psychiatric history at time of childbirth, using data from national health and population registers. Both country-specific and pooled analyses were conducted. Subgroup and sensitivity analyses, including a sibling comparison, were performed to address the specificity and robustness of findings.

resultsA total of 58,416 (2.8%) children were diagnosed with ASD during follow-up. The risk of ASD exhibited a J-shaped association with BMI, which gradually increased for mothers with both lower and higher BMI compared to BMI 22 (mid-normal range) (HR = 1.16 [95% CI 1.06-1.27] for BMI 15, and HR = 1.50 [95% CI 1.46-1.53] for BMI 30 in the fully adjusted model). Adjustment for familial factors in a sibling comparison attenuated associations.

conclusionsBoth high and low maternal BMI are associated with an increased risk of ASD in the offspring. Familial factors, including genetic and environmental components consistent between siblings, may explain part of the association.

Indexed as

Autism Spectrum DisorderAutistic DisorderBody Mass IndexPrenatal Exposure Delayed EffectsAdultChildChild, PreschoolCohort StudiesDenmarkFemaleHumansMaleMothersPregnancyRisk FactorsSwedenAutism spectrum disorderBody mass indexCohort studyPregnancyRegistries

Identifiers

PMID41199269
PMCPMC12593900

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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.