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Updated: Jun 24, 2025

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
Published on: June 13, 2021
The association between premenstrual syndrome before pregnancy and antenatal depression: A cross-sectional study with
Yui Hidaka1,2, Norito Kawakami1, Kazuhiro Watanabe3
1Department of Mental Health, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Aim:
Some studies have examined the relationship between premenstrual syndrome (PMS) and antenatal depression. However, retrospective designs were used to obtain the PMS experiences. Different from such earlier research, this study aims to investigate the association between PMS before pregnancy and antenatal depression with a prospective design.
Method:
This is a secondary analysis of a randomized controlled trial (RCT) conducted among pregnant women. Premenstrual symptoms before pregnancy of the participants were obtained prospectively via a period tracking app. At the baseline of the RCT, 5073 women participated. Of those, 3004 had one or more symptom records related to menstruation 1 year before pregnancy. The outcome, antenatal depression, was assessed using the Edinburgh Postnatal Depression Scale (EPDS) at the RCT baseline, and the cut-off value was set at 11. For covariates, age, education, planned pregnancy, and the number of children were also measured at the same time. Multiple logistic regression analyses were employed to estimate the odds ratio (OR) of having antenatal depression, adjusting for the covariates.
Results:
A total of 366 individuals who had three or more cycles of menstrual-related symptom records were included in the analyses, and of those 52 were applicable to PMS before pregnancy. There was no significant association between PMS and antenatal depression (adjusted OR = 1.28, P = 0.61).
Conclusion:
The present study was the first study to utilize a prospective design to obtain premenstrual symptoms. Future research should consider using a validated and objective measure of PMS diagnosis and a larger sample.
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