SynthesisJournal of affective disorders2017
A systematic review of growth curve mixture modelling literature investigating trajectories of perinatal depressive symptoms and associated risk factors.
Synthesis in Journal of affective disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.
- Exploring Heterogeneity in perinatal depression: a comprehensive review.BMC psychiatry · 2023Pooled it
- Task-sharing of psychological treatment for antenatal depression in Khayelitsha, South Africa: Effects on antenatal and postnatal outcomes in an individual randomised controlled trial.Behaviour research and therapy · 2020Trial
- Perinatal depressive symptoms among low-income South African women at risk of depression: trajectories and predictors.BMC pregnancy and childbirth · 2019Trial
- A Randomized Controlled Trial of a Telehealth Group Intervention to Reduce Perinatal Depressive Symptoms: A Mixed Methods Analysis.Journal of midwifery & women's healthTrial
- Maternal postnatal depression and sensitive parenting: Considering developmental timing with a causally informative approach.Developmental psychology · 2026Article
- Prenatal Origins of Stress Regulation: Maternal Psychological Distress and Inflammation During Pregnancy Prospectively Predict Infant Behavioral Reactivity and Regulation.Developmental psychobiology · 2026Article
- Suicidal ideation across pregnancy and the postpartum: Trajectories and assessment with commonly used screening tools.Journal of mood and anxiety disorders · 2026Article
- Article
- Beyond single time points: prospective longitudinal maternal depression trajectories shape infant social behavior in the first year.European child & adolescent psychiatry · 2026Article
- Trajectories of perinatal depressive symptoms in women with overweight and obesity.Journal of behavioral medicine · 2026Article
- Measuring emotion dysregulation in pregnancy using smartphone activity: a prospective research study in the United States.BMC pregnancy and childbirth · 2026Article
- Developmental origins of immune function: Maternal prenatal mood is associated with infant immune cell gene expression.Brain, behavior, and immunity · 2026Article
- An umbrella review of psychological capacity and mental health trajectories across the life course.Nature. Mental health · 2026Article
- Trajectories of Perinatal Depressive Symptoms from the Second Trimester to Three Months Postpartum and Their Dynamic Relationship with Social Support: A Prospective Cohort Study in Beijing, China.International journal of women's health · 2026Article
- 'One size does not fit all': a qualitative study of women's experiences of a self-guided digital intervention, Mamma Mia.BMC primary care · 2025Article
- Point prevalence and incidence of depressive and generalized anxiety symptoms among women attending antenatal clinics, a longitudinal study among adolescent mothers in Mwanza Tanzania.Child and adolescent psychiatry and mental health · 2025Article
- Polysocial risk factors and trajectories of antenatal moderate-to-severe depressive symptoms: a retrospective cohort study in Shenzhen, China.BMC medicine · 2025Article
- Trajectories of antenatal depression and adverse pregnancy outcomes: A prospective cohort study.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Experiences of discrimination across the transition to parenthood and postpartum depression severity among Black women.Psychological medicine · 2025Article
- Adolescents' internalizing and externalizing symptom trajectories in relation to early-life parental depressive symptoms.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundThe 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.
methodsA 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).
resultsEleven 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.
conclusionsRelatively 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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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.