Evidence map›Paper›PMID 42104989›Full record

ArticleArchives of women's mental health2026

Influences of adverse childhood experiences and weekly pregnancy stress on postpartum mental health symptoms: a machine learning examination.

Amy K Nuttall, G Anne Bogat, Kevin J Grimm, Maria Muzik, Joseph S Lonstein, Cecilia Martinez-Torteya, Alytia A Levendosky

Abstract read
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In one paragraph

Article in Archives of women's mental health, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Amy K NuttallDepartment of Human Development and Family Studies, Michigan State University, East Lansing, MI, USA. nuttall@msu.edu.ORCID 0000-0003-3382-3516
G Anne BogatClinical Science Program, Department of Psychology, Michigan State University, East Lansing, MI, USA.
Kevin J GrimmQuantitative Methods, Department of Psychology, Arizona State University, Tempe, AZ, USA.
Maria MuzikDepartments of Psychiatry, Obstetrics & Gynecology, University of Michigan - Michigan Medicine, Ann Arbor, MI, USA.
Joseph S LonsteinBehavioral Neuroscience Program, Department of Psychology, Michigan State University, East Lansing, MI, USA.
Cecilia Martinez-TorteyaDepartment of Psychiatry, University of Michigan - Michigan Medicine, Ann Arbor, MI, USA.
Alytia A LevendoskyClinical Science Program, Department of Psychology, Michigan State University, East Lansing, MI, USA.

Funding

Timing of prenatal stress and infant regulatory functioningR01HD085990 · NICHD · MICHIGAN STATE UNIVERSITY · PI BOGAT, GLORIA ANNE, LEVENDOSKY, ALYTIA A · 2016 to 2021
$3.1M
NICHD NIH HHS R01 HD085990
6 · The paper itself

Abstract

purposeThe goal of this study was to understand how the timing, level, and fluctuation of pregnancy stress affected women's postpartum mental health while also considering their experiences of early life stress (adverse childhood events; ACEs). We hypothesized that overall stress level, as well as stress during particular pregnancy weeks, would influence postpartum mental health. We further hypothesized that fluctuations in weekly perceived stress levels across pregnancy would influence postpartum mental health among women who had experienced ≥ 4 ACEs.

methodsWe collected information on ACEs and weekly stress data from our participants during pregnancy (15 weeks until parturition). Women's depressive and anxiety symptoms were assessed at six-months postpartum. We employed a machine learning approach to explore the predictive utility of timing, level, and fluctuation of pregnancy stress on postpartum mental health symptoms.

resultsFor all women, higher average stress level across all weeks of pregnancy predicted greater postpartum depressive and anxiety symptoms. Additionally, women with a history of ≥ 4 ACEs were susceptible to stress levels in weeks 20 of pregnancy (depressive symptoms only) and 26 (depressive and anxiety symptoms). Lastly, greater variability in stress levels across pregnancy was also associated with greater depressive symptoms for the women with ≥ 4 ACES.

conclusionIn addition to overall stress level, timing of pregnancy stress and fluctuations in stress levels across pregnancy are associated with postpartum mental health for women with a history of substantial ACEs, with implications for focused mental health interventions during pregnancy for these women.

Indexed as

Adverse Childhood ExperiencesAnxietyDepressionDepression, PostpartumMachine LearningMental HealthPostpartum PeriodPregnancy ComplicationsStress, PsychologicalAdultFemaleHumansPregnancySubjective StressAdverse Childhood ExperiencesAnxiety symptomsDepressive symptomsMachine learningPostpartum mental healthPregnancy stress

Identifiers

PMID42104989
PMCPMC13157444

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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.