Baby blues, premenstrual syndrome and postpartum affective disorders: intersection of risk factors and reciprocal influences.

Baby blues longitudinal study postpartum depression premenstrual syndrome risk factors

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
04 Dec 2023
Historique:
medline: 4 12 2023
pubmed: 4 12 2023
entrez: 4 12 2023
Statut: epublish

Résumé

The aetiology and consequences of 'baby blues' (lower mood following childbirth) are yet to be sufficiently investigated with respect to an individual's clinical history. The primary aim of the study was to assess the symptoms of baby blues and the relevant risk factors, their associations with clinical history and premenstrual syndrome (PMS), and their possible contribution to the early recognition of postpartum depression (PPD). Beginning shortly after childbirth, 369 mothers were followed up for 12 weeks. Information related to their clinical history, PMS, depression, stress and mother-child attachment was collected. At 12 weeks, mothers were classified as non-depressed, or with either PPD or adjustment disorder. A correlation was found between the severity of baby blues and PMS ( Baby blues are linked to a number of risk factors and a history of PMS, with both conditions adding to the risk of PPD. The neuroendocrine effects on mood need be understood in the context of individual risk factors. The assessment of both baby blues and PMS symptoms within the first postpartum days may contribute to an early identification of PPD.

Sections du résumé

BACKGROUND BACKGROUND
The aetiology and consequences of 'baby blues' (lower mood following childbirth) are yet to be sufficiently investigated with respect to an individual's clinical history.
AIMS OBJECTIVE
The primary aim of the study was to assess the symptoms of baby blues and the relevant risk factors, their associations with clinical history and premenstrual syndrome (PMS), and their possible contribution to the early recognition of postpartum depression (PPD).
METHOD METHODS
Beginning shortly after childbirth, 369 mothers were followed up for 12 weeks. Information related to their clinical history, PMS, depression, stress and mother-child attachment was collected. At 12 weeks, mothers were classified as non-depressed, or with either PPD or adjustment disorder.
RESULTS RESULTS
A correlation was found between the severity of baby blues and PMS (
CONCLUSIONS CONCLUSIONS
Baby blues are linked to a number of risk factors and a history of PMS, with both conditions adding to the risk of PPD. The neuroendocrine effects on mood need be understood in the context of individual risk factors. The assessment of both baby blues and PMS symptoms within the first postpartum days may contribute to an early identification of PPD.

Identifiants

pubmed: 38044681
doi: 10.1192/bjo.2023.612
pii: S2056472423006129
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e3

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 410314797

Auteurs

Natalia Chechko (N)

Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany; JARA-Institute Brain Structure Function Relationship (INM-10), Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany; and Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Center Jülich, Jülich, Germany.

Elena Losse (E)

Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.

Thomas Frodl (T)

Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany; Department of Psychiatry and Psychotherapy, University Hospital, Otto von Guericke University Magdeburg, Magdeburg, Germany.

Susanne Nehls (S)

Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany; and JARA-Institute Brain Structure Function Relationship (INM-10), Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany.

Classifications MeSH