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Published in: Archives of Women's Mental Health 1/2017

01-02-2017 | Review Article

Heterogeneity in perinatal depression: how far have we come? A systematic review

Authors: Hudson Santos Jr., Xianming Tan, Rebecca Salomon

Published in: Archives of Women's Mental Health | Issue 1/2017

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Abstract

Despite perinatal depression (PND) being a common mental disorder affecting pregnant women and new mothers, limited attention has been paid to the heterogeneous nature of this disorder. We examined heterogeneity in PND symptom profiles and symptom trajectories. Literature searches revealed 247 studies, 23 of which were included in the final review. The most common statistical approaches used to explore symptom and trajectory heterogeneity were latent class model and growth mixture model. All but one study examined PND symptom trajectories and provided collective evidence of at least three heterogeneous patterns: low, medium, or chronic-high symptom levels. Social and psychological risk factors were the most common group of predictors related to a higher burden (high sum of score) of depressive symptoms. These studies were consistent in reporting poorer health outcomes for children of mothers assigned to high burden symptom trajectories. Only one study explored heterogeneity in symptom profile and was the only one to describe the specific constellations of depressive symptoms related to the PND heterogeneous patterns identified. Therefore, there is limited evidence on the specific symptoms and symptom configurations that make up PND heterogeneity. We suggest directions for future research to further clarify the PND heterogeneity and its related mechanisms.
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Footnotes
1
LCGM was also called semi-parametric group-based modeling, latent growth (curve) model, group-based modeling, group-based trajectory technique/modeling, in these studies.
 
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Metadata
Title
Heterogeneity in perinatal depression: how far have we come? A systematic review
Authors
Hudson Santos Jr.
Xianming Tan
Rebecca Salomon
Publication date
01-02-2017
Publisher
Springer Vienna
Published in
Archives of Women's Mental Health / Issue 1/2017
Print ISSN: 1434-1816
Electronic ISSN: 1435-1102
DOI
https://doi.org/10.1007/s00737-016-0691-8

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