Evidence map›Paper›PMID 38868690›Full record

ArticlePCN reports : psychiatry and clinical neurosciences2022

The association between premenstrual syndrome before pregnancy and antenatal depression: A cross-sectional study with prerecorded information.

Yui Hidaka, Norito Kawakami, Kazuhiro Watanabe, Daisuke Nishi

Abstract read
In one paragraph

Article in PCN reports : psychiatry and clinical neurosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yui HidakaDepartment of Mental Health, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.ORCID 0000-0002-4137-1364
Norito KawakamiDepartment of Mental Health, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.ORCID 0000-0003-1080-2720
Kazuhiro WatanabeDepartment of Public Health Kitasato University School of Medicine Sagamihara Kanagawa Japan.ORCID 0000-0002-3342-6142
Daisuke NishiDepartment of Mental Health, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.ORCID 0000-0001-9349-3294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, 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.

Indexed as

antenatal depressionpregnancypremenstrual syndromeprenatal depression

Identifiers

PMID38868690
PMCPMC11114378

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