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Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome

Background: Premenstrual syndrome (PMS) causes physical and mental symptoms in women during the luteal phase of the menstruation cycle. To confirm the relationship between symptoms and the menstruation cycle, daily symptom records are essential for diagnosing PMS. The daily record of severity of pro...

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Autores principales: Ikeda, Yumie, Egawa, Miho, Hiyoshi, Kazuko, Ueno, Tsukasa, Ueda, Keita, Becker, Carl B., Takahashi, Yoshimitsu, Nakayama, Takeo, Mandai, Masaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784737/
https://www.ncbi.nlm.nih.gov/pubmed/33786468
http://dx.doi.org/10.1089/whr.2019.0004
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author Ikeda, Yumie
Egawa, Miho
Hiyoshi, Kazuko
Ueno, Tsukasa
Ueda, Keita
Becker, Carl B.
Takahashi, Yoshimitsu
Nakayama, Takeo
Mandai, Masaki
author_facet Ikeda, Yumie
Egawa, Miho
Hiyoshi, Kazuko
Ueno, Tsukasa
Ueda, Keita
Becker, Carl B.
Takahashi, Yoshimitsu
Nakayama, Takeo
Mandai, Masaki
author_sort Ikeda, Yumie
collection PubMed
description Background: Premenstrual syndrome (PMS) causes physical and mental symptoms in women during the luteal phase of the menstruation cycle. To confirm the relationship between symptoms and the menstruation cycle, daily symptom records are essential for diagnosing PMS. The daily record of severity of problems (DRSP) is currently the most validated tool for tracking symptoms to confirm and scale the severity of PMS, but there has been no validated Japanese version of this instrument. We developed a Japanese version of the DRSP and assessed its psychometric properties. Methods: A Japanese version of the DRSP was developed following the translation guidelines of the latest Patient-Reported Outcomes Consortium. We conducted a computational psychometric study among 119 women, all of whom completed the Japanese version of the DRSP, the Center for Epidemiologic Studies Depression Scale (CES-D), the Premenstrual Dysphoric Disorder (PMDD) scale, and a Numerical Rating Scale (NRS) for general health status. Each was filled out twice, 2 weeks apart, so that one set was completed in the luteal phase. Results: The Japanese version of the DRSP was developed with translation and cultural adaptation. The internal consistency coefficient for the total score was 0.93. The DRSP in the luteal phase correlated highly with the CES-D, PMDD scale, and NRS for general health status. Conclusions: Our Japanese version of the DRSP, developed as a PMS/PMDD diagnostic tool, was shown to provide substantial validity and reliability to rate premenstrual symptoms for Japanese women.
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spelling pubmed-77847372021-03-29 Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome Ikeda, Yumie Egawa, Miho Hiyoshi, Kazuko Ueno, Tsukasa Ueda, Keita Becker, Carl B. Takahashi, Yoshimitsu Nakayama, Takeo Mandai, Masaki Womens Health Rep (New Rochelle) Research Article Background: Premenstrual syndrome (PMS) causes physical and mental symptoms in women during the luteal phase of the menstruation cycle. To confirm the relationship between symptoms and the menstruation cycle, daily symptom records are essential for diagnosing PMS. The daily record of severity of problems (DRSP) is currently the most validated tool for tracking symptoms to confirm and scale the severity of PMS, but there has been no validated Japanese version of this instrument. We developed a Japanese version of the DRSP and assessed its psychometric properties. Methods: A Japanese version of the DRSP was developed following the translation guidelines of the latest Patient-Reported Outcomes Consortium. We conducted a computational psychometric study among 119 women, all of whom completed the Japanese version of the DRSP, the Center for Epidemiologic Studies Depression Scale (CES-D), the Premenstrual Dysphoric Disorder (PMDD) scale, and a Numerical Rating Scale (NRS) for general health status. Each was filled out twice, 2 weeks apart, so that one set was completed in the luteal phase. Results: The Japanese version of the DRSP was developed with translation and cultural adaptation. The internal consistency coefficient for the total score was 0.93. The DRSP in the luteal phase correlated highly with the CES-D, PMDD scale, and NRS for general health status. Conclusions: Our Japanese version of the DRSP, developed as a PMS/PMDD diagnostic tool, was shown to provide substantial validity and reliability to rate premenstrual symptoms for Japanese women. Mary Ann Liebert, Inc., publishers 2020-01-20 /pmc/articles/PMC7784737/ /pubmed/33786468 http://dx.doi.org/10.1089/whr.2019.0004 Text en © Yumie Ikeda et al. 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ikeda, Yumie
Egawa, Miho
Hiyoshi, Kazuko
Ueno, Tsukasa
Ueda, Keita
Becker, Carl B.
Takahashi, Yoshimitsu
Nakayama, Takeo
Mandai, Masaki
Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title_full Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title_fullStr Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title_full_unstemmed Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title_short Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome
title_sort development of a japanese version of the daily record of severity of problems for diagnosing premenstrual syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784737/
https://www.ncbi.nlm.nih.gov/pubmed/33786468
http://dx.doi.org/10.1089/whr.2019.0004
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