Evidence map›Paper›PMID 25822344›Full record

SynthesisAnnual review of clinical psychology2015

Biological and psychosocial predictors of postpartum depression: systematic review and call for integration.

Ilona S Yim, Lynlee R Tanner Stapleton, Christine M Guardino, Jennifer Hahn-Holbrook, Christine Dunkel Schetter

Abstract readSystematic Review
In one paragraph

Synthesis in Annual review of clinical psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 344 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
344citing papers in PubMed, 10 pooled it
–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

344 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  5. Breastfeeding interventions for preventing postpartum depression.The Cochrane database of systematic reviews · 2025
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284 more citing papers are in PubMed but not listed here.

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

5 authors.

Ilona S YimDepartment of Psychology and Social Behavior, University of California, Irvine, California 92697; email: ilona.yim@uci.edu.
Lynlee R Tanner Stapleton
Christine M Guardino
Jennifer Hahn-Holbrook
Christine Dunkel Schetter

Funding

PREVENTION RESEARCH TRAINING:URBAN CHILDREN'S MENT HLTHT32MH015750 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTINE DUNKEL SCHETTER · 1985 to 2026
$6.2M
NIMH NIH HHS MH T32 15750NIMH NIH HHS T32 MH015750
6 · The paper itself

Abstract

Postpartum depression (PPD) adversely affects the health and well being of many new mothers, their infants, and their families. A comprehensive understanding of biopsychosocial precursors to PPD is needed to solidify the current evidence base for best practices in translation. We conducted a systematic review of research published from 2000 through 2013 on biological and psychosocial factors associated with PPD and postpartum depressive symptoms. Two hundred fourteen publications based on 199 investigations of 151,651 women in the first postpartum year met inclusion criteria. The biological and psychosocial literatures are largely distinct, and few studies provide integrative analyses. The strongest PPD risk predictors among biological processes are hypothalamic-pituitary-adrenal dysregulation, inflammatory processes, and genetic vulnerabilities. Among psychosocial factors, the strongest predictors are severe life events, some forms of chronic strain, relationship quality, and support from partner and mother. Fully integrated biopsychosocial investigations with large samples are needed to advance our knowledge of PPD etiology.

Indexed as

Depression, PostpartumEndocrine System DiseasesFemaleHumansPregnancyPsychologyRisk Factorsbiopsychosocialmental healthpostnatalpregnancyrisk factors

Identifiers

PMID25822344
PMCPMC5659274

What OpenQuestion holds

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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 OpenQuestion graph.