Evidence map›Paper›PMID 39627412›Full record

ArticleArchives of women's mental health2025

A new perspective on the causal pathway between maternal mental health and neonatal adversity.

Emma Lin, Elah Wilson, Arad Kodesh, Stephen Z Levine, Abraham Reichenberg, Nathan Fox, Nina Zaks, Magdalena Janecka

Abstract read
In one paragraph

Article in Archives of women's mental health, 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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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

8 authors.

Emma LinCornell University, Undergraduate Studies, Ithaca, NY, USA.
Elah WilsonStuyvesant High School, New York, NY, USA.
Arad KodeshMeuhedet Health Services, Haifa, Israel.ORCID http://orcid.org/0000-0002-8924-1972
Stephen Z LevineSchool of Public Health, University of Haifa, Haifa, Israel.ORCID http://orcid.org/0000-0002-5544-0420
Abraham ReichenbergDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-2729-8575
Nathan FoxDepartment of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-5071-8182
Nina ZaksDepartment of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-6061-5213
Magdalena JaneckaDepartment of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA. magdalena.janecka@nyulangone.org.ORCID http://orcid.org/0000-0001-7406-0776

Funding

Multigenerational FamIlial and Environmental Risk for Autism (MINERvA) NetworkU01HD073978 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI REICHENBERG, ABRAHAM · 2012 to 2016
$4.9M
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
Neuroendocrine Regulation of Sleep in PTSDR01MH073978 · NIMH · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI NEYLAN, THOMAS C · 2005 to 2008
$1.8M
Eunice Kennedy Shriver National Institute of Child Health and Human Development HD073978Eunice Kennedy Shriver National Institute of Child Health and Human Development HD098883NIEHS NIH HHS National Institute of Environmental Health SciencesNIMH NIH HHS MH124817NIMH NIH HHS R01 MH073978NIMH NIH HHS R01 MH124817NINDS NIH HHS National Institute of Neurological Disorders and Stroke
6 · The paper itself

Abstract

purposeSubstantial evidence suggests a downstream impact of maternal mental health on birth outcomes. The roles of comorbid maternal physical health and familial confounding underlying this association remain unclear.

methodsThis cohort study included a random sample of children born 1997-2008 within a health maintenance organization (HMO) in Israel, their parents, and siblings. Outcomes were ICD-9 diagnoses of neonatal adversities (birth complications and congenital anomalies) and exposures were maternal diagnoses of mental health disorders. Odds ratios (ORs) and their 95% confidence intervals for the associations between maternal mental health diagnoses and measures of neonatal adversity were calculated using logistic regression, adjusting for maternal age, child's year of birth, socioeconomic status, and maternal physical morbidity burden. We examined potential familial confounding using a negative control approach based on paternal exposure.

resultsIn our sample of 74,533 children, 6,674 (9.1%) were born after birth complications and 14,569 (19.9%) with a congenital anomaly. Maternal mental health diagnosis around pregnancy was significantly associated with these measures of neonatal adversity after adjustment for potential confounders (birth complications: OR = 1.3 (1.2-1.4), p < 0.001; congenital anomalies: OR = 1.2 (1.1-1.3), p < 0.001). These associations became attenuated and non-significant after further adjustment for maternal physical morbidity burden. In a joint model, maternal and paternal diagnosis of a mental health disorder were independently associated with neonatal adversity (birth complications: OR

conclusionPhysical health and familial factors play a role in the associations between maternal mental health and neonatal adversity.

Indexed as

Congenital AbnormalitiesMaternal HealthMental DisordersMental HealthMothersPregnancy ComplicationsAdultCohort StudiesFemaleHumansInfant, NewbornIsraelMalePregnancyComorbidityFamilial effectsMaternal mental healthNeonatal complicationsPregnancy

Identifiers

PMID39627412
PMCPMC12927521

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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.