Evidence map›Paper›PMID 36721882›Full record

ArticlePsychiatry investigation2023

Level of Psychological and Somatic Symptoms Predict Perimenopausal Syndrome Severity Better Than Obstetric and Psychiatric History Do Among Korean Women.

Soyeon Kim, Sun Mi Kim, Da Seul Kim, Seunga Han, Ji Sun Hong, Jeong Seok Seo

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

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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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 2 countries.

Soyeon KimDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Sun Mi KimDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Da Seul KimDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Seunga HanDepartment of Political Science, Vanderbilt University, Nashville, TN, USA.
Ji Sun HongDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Jeong Seok SeoDepartment of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Chung-Ang University · KRVanderbilt University · US

Funding

Chung-Ang UniversityMinistry of Science and ICTNational Research Foundation 2021R1G1A1008625
6 · The paper itself

Abstract

objectiveMenopause symptoms can vary in type, duration, and severity. The purpose of this study was to investigate the key factors predicting severe symptoms among Korean perimenopausal women with various demographic data, obstetric and psychiatric histories, and menopausal symptoms screening scale scores.

methodsData were collected from 1,060 women, and 4 latent classes were identified using latent profile analysis, with 6 major categories of menopausal complaints. Among the 4 classes, we selectively used data from the "all unimpaired" and "all impaired" groups. Menopause rating scale (MRS), sociodemographic, obstetric, and psychiatric factors were assessed, and hierarchical logistic regression analyses were conducted with the "all impaired" group as a dependent variable.

resultsMarital status and scores on the psychological and somatic subscales of the MRS were statistically related to being in the "all impaired" group. Otherwise, family history of menopausal symptoms, menarche age, and history of other psychiatric disorders were not statistically significant predictors of being in the "all impaired" group.

conclusionThe psychological and somatic subscales of the MRS predict the severity of perimenopausal syndrome better than obstetric and psychiatric history do among Korean perimenopausal women. Psychological and somatic symptoms as well as genitourinary symptoms in menopausal patients should be closely evaluated.

Indexed as

MenopausePerimenopausePredictorPsychological factorSomatic symptoms

Identifiers

PMID36721882
PMCPMC9890039
OpenAlexW4317910346

What OpenQuestion holds

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LicenceCC BY-NC
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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.