Evidence map›Paper›PMID 41275908›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2026

Cross-Setting Replication of the Associations Between Maternal Health and Autism.

Vahe Khachadourian, Meredith Anderson, Elias Speleman Arildskov, Jakob Grove, Abraham Reichenberg, Sven Sandin, Diana Schendel, Stefan Nygaard Hansen, Lisa A Croen, Magdalena Janecka

Abstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 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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0cells of the map it votes in
0citing papers in PubMed
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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

10 authors.

Vahe KhachadourianNYU Grossman School of Medicine, New York, New York.
Meredith AndersonKaiser Permanente Northern California, Pleasanton, California.
Elias Speleman ArildskovAarhus University, Aarhus, Denmark.
Jakob GroveAarhus University, Aarhus, Denmark.
Abraham ReichenbergIcahn School of Medicine at Mount Sinai, New York, New York.
Sven SandinIcahn School of Medicine at Mount Sinai, New York, New York; Karolinska Institutet, Stockholm, Sweden.
Diana SchendelAarhus University, Aarhus, Denmark; Drexel University, Philadelphia, Pennsylvania; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Stefan Nygaard HansenAarhus University, Aarhus, Denmark.
Lisa A CroenKaiser Permanente Northern California, Pleasanton, California.
Magdalena JaneckaNYU Grossman School of Medicine, New York, New York. Electronic address: magdalena.janecka@nyulangone.org.

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
Maternal health in pregnancy and autism risk - genetic and non-genetic mechanisms - Administrative SupplementR01MH124817 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JANECKA, MAGDALENA · 2021 to 2025
$3.0M
Training the next generation of clinical neuroscientistsT32MH122394 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rene S. Kahn, ANTONIA S NEW · 2020 to 2026
$2.5M
NICHD NIH HHS R01 HD098883NIMH NIH HHS R01 MH124817NIMH NIH HHS T32 MH122394
6 · The paper itself

Abstract

objectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition with early-life origins. Maternal health conditions during pregnancy have been linked to autism risk, but most studies have focused on single populations, thus limiting generalizability. We examined whether associations previously reported in a Danish registry-based study were similar in a US cohort.

methodWe analyzed electronic health records of children born between 2010 and 2017 at Kaiser Permanente Northern California (KPNC), along with their mothers. Maternal diagnoses were classified as chronic or non-chronic. Associations with ASD in the child were assessed using Cox models, adjusting for sociodemographic factors, health care use, and comorbid maternal diagnoses. Methods were aligned with the Danish study for comparability.

resultsAmong 224,353 children in the KPNC cohort, 5,448 (2.4%) were diagnosed with autism. Of the 42 maternal diagnoses significantly associated with autism in Denmark, 38 were evaluable in KPNC, and 18 remained statistically significant after adjustment. Most associations had point estimates consistent with the Danish study, particularly psychiatric and cardiometabolic conditions.

conclusionDespite demographic and health care differences, 35 of the 38 associations found in the Danish study replicated qualitatively (direction of effect) in the US cohort, suggesting robust cross-setting relevance. Further research is needed to explore underlying mechanisms and effect modifiers. PLAIN LANGUAGE SUMMARY: Research suggests certain maternal health problems during pregnancy may be linked to autism, but differing study methods makes it hard to know if results are consistent across different populations. This study analyzed electronic health records of 224,353 children born between 2010 and 2017 (2.4% of whom received an autism diagnosis) at Kaiser Permanente Northern California. The authors compared these results with a study done in Denmark using similar methods. Results showed that a number of maternal conditions, particularly psychiatric and cardiometabolic conditions, were associated with autism in their children in both studies, suggesting these links are not due to location-specific factors.

Indexed as

Autism Spectrum DisorderMaternal HealthPrenatal Exposure Delayed EffectsRegistriesAdultCaliforniaChildChild, PreschoolCohort StudiesComorbidityDenmarkFemaleHumansMalePregnancyautismchild healthcohortmaternal healthpregnancy

Identifiers

PMID41275908
PMCPMC13148412

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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.