Evidence map›Paper›PMID 36415609›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Antenatal depressive symptoms are strongly predicted by the severity of pre-menstrual syndrome: results of partial least squares analysis.

Yoshiko Abe, Wandee Sirichokchatchawan, Ussanee Sangkomkamhang, Sirina Satthapisit, Michael Maes

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 4 countries.

Yoshiko AbeCollege of Public Health Sciences (CPHS), Chulalongkorn University, Bangkok 10330, Thailand.
Wandee SirichokchatchawanCollege of Public Health Sciences (CPHS), Chulalongkorn University, Bangkok 10330, Thailand.
Ussanee SangkomkamhangDepartment of Obstetrics and Gynecology, Khon Kaen Hospital, Khon Kaen 40000, Thailand.
Sirina SatthapisitDepartment of Psychiatry, Khon Kaen Hospital, Khon Kaen 40000, Thailand.
Michael MaesDepartment of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Chulalongkorn University · THKhon Kaen University · THBarwon Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveAntenatal depression (AD) is the commonest morbidity during pregnancy. There is evidence that premenstrual syndrome (PMS) and AD share common immune-inflammatory and sex hormonal pathways. This study aims to evaluate the association between the severity of depressive PMS and AD in early and late pregnancy.

methodParticipants were followed from early (<=16 weeks) to late pregnancy (>=20 weeks). The Premenstrual Symptoms Screening Tool (PSST) was used to assess PMS and AD symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS).

resultsUp to 57.6% of the variance in the early EPDS score was explained by the regression on the first factor extracted from 10 depression and anxiety PSST items (dubbed the DepAnx PSST), insomnia PSST, relation dissatisfaction, and partner abuse. There were specific indirect effects of DepAnx PSST (

conclusionThe affective, but not psychosomatic, symptoms of PMS strongly predict AD symptoms suggesting that the pathophysiology of affective PMS symptoms overlap with those of AD.

Indexed as

InflammationNeuro-immuneOxidative stressPerinatal depressionPremenstrual syndrome

Identifiers

PMID36415609
PMCPMC9674907
OpenAlexW4309346050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.