Cited by 147Maternal Mental Health During Pregnancy and PostpartumMaternal and Neonatal HealthcarePersonality Disorders and Psychopathology

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A systematic review of growth curve mixture modelling literature investigating trajectories of perinatal depressive symptoms and associated risk factors

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Baron, Emily, Bass, Judith, Murray, Sarah M., Schneider, Marguerite, Lund, Crick·2017·Journal of Affective Disorders

DOI 10.1016/j.jad.2017.07.046PMC PMC5592733

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Abstract

Background The aim of this study was to review the growth curve mixture modelling (GCMM) literature investigating trajectories of perinatal maternal depressive symptoms and associated risk factors.Methods A systematic search of peer-reviewed articles published until November 2015 was conducted in seven databases. Articles using GCMM to identify trajectories of perinatal depressive symptoms were considered. Symptoms had to be assessed at least three times, anytime from pregnancy to two years postpartum (PROSPERO; 2016:CRD42016032600).Results Eleven studies met inclusion criteria. All reported a low risk trajectory, characterised by stable low depressive symptoms throughout the perinatal period. A stable moderate-high or high symptom trajectory was reported in eight of 11 studies, suggesting a high-risk group with persistent depressive symptoms. Six studies also reported transient trajectories, with either increasing, decreasing or episodic depressive symptoms. None of the demographic, personality or clinical characteristics investigated systematically differentiated groups of women with different symptom trajectories, within or across studies. Thus, it is difficult to differentiate women at high or low risk of specific perinatal depression trajectories.Limitations A meta-analysis was not possible. The studies' settings and inclusion criteria limit the generalisability of the findings to low-risk, middle- to high-income women.Conclusions Relatively similar trajectories of perinatal depressive symptoms were identified across studies. Evidence on factors differentiating women assigned to different trajectories was inconsistent. Research with larger samples and in more diverse settings is needed to inform services and policies on how and when to effectively identify subgroups of women at high risk of perinatal depression.

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Authors: Baron, E., Bass, J., Murray, S. M., Schneider, M., & Lund, C.
Affiliations: Johns Hopkins University (US)
University of Cape Town (ZA)
ORCID: Bass, Judith
Murray, Sarah M.
Schneider, Marguerite
Lund, Crick
Venue: Journal of Affective Disorders
Publisher: Elsevier BV
Published: 2017-12
Volume: 223
Pages: 194-208
ISSN: 0165-0327 (ISSN-L)
DOI: 10.1016/j.jad.2017.07.046
PMC: PMC5592733
OpenAlex: W2736865397
Cited by: 146
References: 47
Citations by year: 2026: 20 · 2025: 19 · 2024: 15 · 2023: 29 · 2022: 24 · 2021: 7 · 2020: 11 · 2019: 17 · 2018: 3 · 2017: 1
FWCI: 1.42
Type: journal article
Language: en
Open access: green
europepmc.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Affective Disorders (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
Funders: National Institutes of Health
National Institute of Mental Health (T32MH103210, U19MH095699)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and Neonatal Healthcare
Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
Keywords: perinatal depression, depressive symptom trajectories, maternal depressive symptoms, risk factors, postpartum depression, pregnancy, high-risk subgroups
MeSH terms: Maternal Health, Female, Humans, Mothers, Pregnancy, Risk Factors, Social Adjustment, Depression, Postpartum, Young Adult

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A systematic review of growth curve mixture modelling literature investigating trajectories of perinatal depressive symptoms and associated risk factors

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