Evidence map›Paper›PMID 39142585›Full record

ArticleJournal of affective disorders2024

A bioecological longitudinal study of depressive symptoms from pregnancy to 36 months postpartum.

Nicolette C Molina, Anna M Zhou, Parisa R Kaliush, Sarah E Maylott, Ashley E Pappal, Kira R Wright, Dylan Neff, Jonathan E Butner, K Lee Raby, Elisabeth Conradt and 1 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Nicolette C MolinaDepartment of Psychology, University of Oregon, Eugene, OR, United States of America. Electronic address: nimo@uoregon.edu.
Anna M ZhouDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America.
Parisa R KaliushUniversity of North Carolina (UNC), School of Medicine, Chapel Hill, NC, United States of America.
Sarah E MaylottUniversity of North Carolina (UNC), School of Medicine, Chapel Hill, NC, United States of America.
Ashley E PappalDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America.
Kira R WrightDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America.
Dylan NeffUniversity of Miami, Coral Gables, FL, United States of America.
Jonathan E ButnerDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America.
K Lee RabyDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America.
Elisabeth ConradtDepartment of Psychology, University of Utah, Salt Lake City, UT, United States of America; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, United States of America.
Sheila E CrowellDepartment of Psychology, University of Oregon, Eugene, OR, United States of America.

Funding

Emotion dysregulation across generations: Identifying early developmental and clinical indicators of riskR01MH119070 · NIMH · UNIVERSITY OF UTAH · PI CONRADT, LIZ D, CROWELL, SHEILA E. · 2019 to 2023
$3.9M
Advancing the science and technology of prenatal programing researchR21MH109777 · NIMH · UNIVERSITY OF UTAH · PI CROWELL, SHEILA E. · 2016 to 2017
$384k
Characterizing early signs of neurobehavioral dysregulation in infants at increased risk for behavioral disordersK99MH136292 · NIMH · DUKE UNIVERSITY · PI MAYLOTT, SARAH E. · 2024 to 2025
$198k
NIMH NIH HHS K99 MH136292NIMH NIH HHS R01 MH119070NIMH NIH HHS R21 MH109777
6 · The paper itself

Abstract

purposeDepressive symptoms during the perinatal period have broad and enduring health implications for birthing parents and their offspring. Rising prevalence rates of perinatal depression highlight the need for research examining factors influencing depressive symptoms during pregnancy, and trajectories during the early postnatal period. Grounded in bioecological systems theory, this longitudinal multimethod study examined whether prenatal bioecological factors predict depressive symptoms from pregnancy to 36 months postpartum.

methodsParticipants were 162 pregnant individuals, oversampled for high emotion dysregulation, who completed a life stress interview and physiological assessment during the 3rd trimester and a self-report measure of depression at five time-points (3rd trimester, within 48 h of birth, 7, 18, and 36 months postpartum). Multilevel models were used to test study aims.

resultsParticipants exhibited the highest levels of depressive symptoms at 3rd trimester, and substantial variability in depressive symptom trajectories over time. Lower resting respiratory sinus arrhythmia (RSA), an index of parasympathetic nervous system functioning, in the 3rd trimester was associated with higher concurrent depressive symptoms. Higher levels of stress related to partner relationships, finances, and health were concurrently associated with more depressive symptoms during pregnancy and decreases in depressive symptoms over time. Specifically, depressive symptoms decreased only for individuals who reported high levels of stress during pregnancy. LIMITATIONS: Although grounded in bioecological systems theory, this study did not assess the macrosystem.

conclusionsResults of this study underscore the importance of multilevel predictors of perinatal health and highlights potential targets for preventing depression and promoting well-being during the perinatal transition.

Indexed as

DepressionDepression, PostpartumPregnancy ComplicationsStress, PsychologicalAdultFemaleHumansLongitudinal StudiesPostpartum PeriodPregnancyPregnancy Trimester, ThirdRespiratory Sinus ArrhythmiaYoung AdultBioecologicalDepressionLife stressPostpartumPregnancyRSA

Identifiers

PMID39142585
PMCPMC11512642

What Socratic holds

Textmetadata
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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 Socratic graph.