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Mild differences in the role of somatic symptoms in depression networks in pregnancy and postpartum: A comparison with women outside peripartum

  • Petra Pátková Daňsová*
  • , Edita Chvojka
  • , Hynek Cígler
  • , Lenka Lacinová
  • *Corresponding author for this work
  • Masaryk University

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Depression is one of the most prevalent mental ailments in pregnancy. Many authors have discussed the appropriateness of somatic symptoms for depression assessment in pregnancy and postpartum. However, no study has examined the role of somatic symptoms in networks of pregnant and postpartum women compared to women outside peripartum. Here, we show that somatic symptoms are essential to depression assessment during pregnancy and postpartum. We compared networks of the nine PHQ-9 items across pregnant women (n = 894, Mage = 29.29), women in postpartum (n = 586, Mage = 29.83) and women outside peripartum (n = 1029, Mage = 24.87). While three of the five somatic symptoms in PHQ-9 were more present in pregnant women than in those outside the peripartum, the three networks were highly similar regarding the position of the somatic symptoms and their relation to the emotional-cognitive symptoms. Most depression symptoms in pregnant women were predicted by other depression symptoms to a lesser extent than in postpartum and outside peripartum. Other external variables are therefore needed to explain these sensations in pregnancy. In addition to the incidence of somatic symptoms, practitioners should ask pregnant women about their attributions of these.

Original languageEnglish
Pages (from-to)165-171
Number of pages7
JournalJournal of Psychiatric Research
Volume174
Early online date9 Apr 2024
DOIs
Publication statusPublished - Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

Funding

This study was funded by the Research of Excellence on Digital Technologies and Wellbeing (CZ.02.01.01/00/22_008/0004583) and the DOMOV a DOTAZOV\u00C1N\u00CD: 2023 (MUNI/A/1352/2022).

FundersFunder number
Research of Excellence on Digital Technologies and WellbeingMUNI/A/1352/2022, CZ.02.01.01/00/22_008/0004583

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Depression
    • Network analysis
    • Postpartum
    • Pregnancy
    • Somatic symptoms

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