Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Miho Egawa

Biographic Data

ID9007591
NAMEMiho Egawa
GIVEN NAMESMiho
FAMILY NAMEEgawa
SIGNATUREEGAWA M
AFFILIATIONSKyoto University
ORCID0000-0001-5848-1001
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Association between maternal overprotection and premenstrual disorder

    Open Access•Kaori Tsuyuki, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2025

    BACKGROUND: Premenstrual disorder (PMD), which includes premenstrual syndrome and premenstrual dysphoric disorder, has a complex pathogenesis and may be closely related to emotional cognition and memory. However, the mechanisms underlying these associations remain unclear. Therefore, this study used machine learning to explore the roles of various factors that are not typically considered risk-factors for PMD. METHODS: A predictive model for PMD …

  • Association of preconception premenstrual disorders with perinatal depression

    Open Access•Takuma Ohsuga, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2024

    BACKGROUND: Recent studies have identified premenstrual disorders (PMDs) as a risk factor for postpartum depression. However, routine screening for preconception PMDs is not yet common in Japan. This study investigated the association between preconception PMDs and perinatal depression in a single tertiary care setting. METHODS: We analyzed data from pregnant women who gave birth at Kyoto University Hospital between April 2020 and October 2023. T…

  • The reliability and validity of the Japanese version of the Daily Record of Severity of Problems (J-DRSP) and Development of a Short-Form version (J-DRSP (SF)) to assess symptoms of premenstrual syndr…

    Open Access•Yumie Ikeda, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2021

    PURPOSE: To assess the validity and reliability of the Japanese version of the Daily Record of Severity of Problems (J-DRSP, 24 items) for evaluating symptoms of premenstrual syndrome (PMS), and to develop a short form version of the J-DRSP. METHODS: Using the "DRSP-JAPAN" smartphone app, we collected daily J-DRSP records from cycle day - 6 (CD - 6) to CD 10, with CD 1 representing the menstruation onset date. Factorial validity (exploratory fact…

  • A potential relation between premenstrual symptoms and subjective perception of health and stress among college students

    Open Access•Tamaki Matsumoto, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2019

    Background A majority of women from all cultures and socioeconomic levels experience myriad symptoms known as premenstrual syndrome during the days prior to menstruation. The present study investigated commonly reported symptoms in the premenstrual phase among college students. The authors further scrutinized potential factors, including subjective perceptions of health, which may be related to the premenstrual-symptom constellation. Methods We c…

No prominent works on this page.

  • A potential relation between premenstrual symptoms and subjective perception of health and stress among college students

    Open Access•Tamaki Matsumoto, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2019

    Background A majority of women from all cultures and socioeconomic levels experience myriad symptoms known as premenstrual syndrome during the days prior to menstruation. The present study investigated commonly reported symptoms in the premenstrual phase among college students. The authors further scrutinized potential factors, including subjective perceptions of health, which may be related to the premenstrual-symptom constellation. Methods We c…

  • The reliability and validity of the Japanese version of the Daily Record of Severity of Problems (J-DRSP) and Development of a Short-Form version (J-DRSP (SF)) to assess symptoms of premenstrual syndr…

    Open Access•Yumie Ikeda, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2021

    PURPOSE: To assess the validity and reliability of the Japanese version of the Daily Record of Severity of Problems (J-DRSP, 24 items) for evaluating symptoms of premenstrual syndrome (PMS), and to develop a short form version of the J-DRSP. METHODS: Using the "DRSP-JAPAN" smartphone app, we collected daily J-DRSP records from cycle day - 6 (CD - 6) to CD 10, with CD 1 representing the menstruation onset date. Factorial validity (exploratory fact…

  • Association of preconception premenstrual disorders with perinatal depression

    Open Access•Takuma Ohsuga, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2024

    BACKGROUND: Recent studies have identified premenstrual disorders (PMDs) as a risk factor for postpartum depression. However, routine screening for preconception PMDs is not yet common in Japan. This study investigated the association between preconception PMDs and perinatal depression in a single tertiary care setting. METHODS: We analyzed data from pregnant women who gave birth at Kyoto University Hospital between April 2020 and October 2023. T…

  • Association between maternal overprotection and premenstrual disorder

    Open Access•Kaori Tsuyuki, Miho Egawa et al.•ARTICLE•BioPsychoSocial Medicine•2025

    BACKGROUND: Premenstrual disorder (PMD), which includes premenstrual syndrome and premenstrual dysphoric disorder, has a complex pathogenesis and may be closely related to emotional cognition and memory. However, the mechanisms underlying these associations remain unclear. Therefore, this study used machine learning to explore the roles of various factors that are not typically considered risk-factors for PMD. METHODS: A predictive model for PMD …

Medicine (4 works) · Menstrual Health and Disorders (4 works) · Clinical Psychology (3 works) · Psychology (3 works) · Confidence interval (2 works) · Internal Medicine (2 works) · Maternal Mental Health During Pregnancy and Postpartum (2 works) · Structural equation modeling (2 works) · Biochemical effects in animals (1 work) · Confirmatory factor analysis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae