Evidence map›Paper›PMID 37199406›Full record

ArticlePsychosomatic medicine

Adverse Childhood Experiences Predict Diurnal Cortisol Throughout Gestation.

Lisa S Panisch, Hannah R Murphy, Qiuyi Wu, Jessica L Brunner, Zoe T Duberstein, Molly S Arnold, Meghan Best, Emily S Barrett, Richard K Miller, Xing Qiu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Psychosomatic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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, 1 citations in OpenAlex.

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

11 authors at 5 institutions in 2 countries.

Lisa S PanischFrom the Wayne State University School of Social Work (Panisch), Detroit, Michigan; Translational Biomedical Science (Murphy), University of Rochester School of Medicine and Dentistry; Wynne Center for Family Research (Murphy, Duberstein, Arnold, O'Connor), University of Rochester; Biostatistics and Computational Biology (Wu, Qiu), University of Rochester Medical Center; Obstetrics and Gynecology (Brunner, Best, Barrett, Miller, O'Connor) and Psychology (Duberstein, Arnold, O'Connor), University of Rochester, Rochester, New York; Biostatistics and Epidemiology, Rutgers School of Public Health (Barrett); Environmental and Occupational Health Sciences Institute (Barrett), Rutgers University, Piscataway, New Jersey; and Neuroscience (O'Connor) and Psychiatry (O'Connor), University of Rochester, Rochester, New York.ORCID 0000-0001-9463-129
Qiuyi Wu
Jessica L Brunner
Zoe T DubersteinORCID 0000-0002-6522-756
Meghan Best
Richard K Miller
Xing Qiu
Thomas G O'ConnorORCID 0000-0002-8590-5057
University of Rochester · USUniversity of Rochester Medical Center · USBurroughs Wellcome Fund · USOakland University · USRutgers, The State University of New Jersey · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BRIAN T BUCKLEY · 1988 to 2026
$47.4M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUH3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI Emily S Barrett, Richard Kermit Miller · 2018 to 2026
$15.9M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUG3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S, MILLER, RICHARD KERMIT · 2016 to 2024
$7.0M
Understanding Prenatal Signals and Infant Development (UPSIDE)R01HD083369 · NICHD · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S · 2015 to 2019
$2.6M
Longitudinal Changes in Weight and Biology in the Pregnancy-Postpartum Period and Subsequent Cardiometabolic RiskR01NR017602 · NINR · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S, GROTH, SUSAN W · 2018 to 2022
$2.6M
NCATS NIH HHS UL1 TR002001NICHD NIH HHS R01 HD083369NIEHS NIH HHS P30 ES005022NIH HHS UG3 OD023349NIH HHS UH3 OD023349NINR NIH HHS R01 NR017602
6 · The paper itself

Abstract

objectiveAdverse childhood experiences (ACEs) are associated with negative prenatal and perinatal health outcomes and may, via these pathways, have intergenerational effects on child health and development. We examine the impact of ACEs on maternal salivary cortisol, a key measure of prenatal biology previously linked with pregnancy-related health outcomes.

methodsLeveraging assessments across three trimesters, we used linear mixed-effects models to analyze the influence of ACEs on maternal prenatal diurnal cortisol patterns in a diverse cohort of pregnant women (analytic sample, n = 207). Covariates included comorbid prenatal depression, psychiatric medications, and sociodemographic factors.

resultsMaternal ACEs were significantly associated with flatter diurnal cortisol slopes (i.e., less steep decline), after adjusting for covariates, with effects consistent across gestation (estimate = 0.15, standard error = 0.06, p = .008).

conclusionsACEs experienced before pregnancy may have a robust and lasting influence on maternal prenatal hypothalamic-pituitary-adrenal activity throughout gestation, a key biological marker associated with perinatal and child health outcomes. The findings suggest one route of intergenerational transmission of early adverse experiences and underscore the potential value of assessing prepregnancy adverse experiences for promoting perinatal and maternal and child health.

Indexed as

Adverse Childhood ExperiencesPregnancy ComplicationsChildFamilyFemaleHumansHydrocortisonePregnancyHydrocortisone

Identifiers

PMID37199406
PMCPMC10524578
OpenAlexW4377011961

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.