Okpete UE, Byeon H. Optimizing perimenopausal mental health by integrating precision biomarkers, digital health interventions, and psychosocial care. World J Psychiatry 2025; 15(7): 101906 [DOI: 10.5498/wjp.v15.i7.101906]
Corresponding Author of This Article
Haewon Byeon, PhD, Associate Professor, Worker’s Care and Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, Director 1600, Chungjeol-ro, Cheonan 31253, South Korea. bhwpuma@naver.com
Research Domain of This Article
Psychiatry
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Psychiatry. Jul 19, 2025; 15(7): 101906 Published online Jul 19, 2025. doi: 10.5498/wjp.v15.i7.101906
Optimizing perimenopausal mental health by integrating precision biomarkers, digital health interventions, and psychosocial care
Uchenna E Okpete, Haewon Byeon
Uchenna E Okpete, Department of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, South Korea
Haewon Byeon, Worker’s Care and Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, Cheonan 31253, South Korea
Author contributions: Byeon H designed the study; Okpete UE involved in data interpretation and developed methodology; Okpete UE and Byeon H contributed to this paper and assisted with writing the article; and all authors thoroughly reviewed and endorsed the final manuscript.
Supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, No. RS-2023-00237287.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Haewon Byeon, PhD, Associate Professor, Worker’s Care and Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, Director 1600, Chungjeol-ro, Cheonan 31253, South Korea. bhwpuma@naver.com
Received: September 30, 2024 Revised: November 12, 2024 Accepted: April 10, 2025 Published online: July 19, 2025 Processing time: 282 Days and 17.9 Hours
Core Tip
Core Tip: This article highlights the critical need for an integrated, personalized approach to perimenopausal mental health, addressing biological and psychosocial factors. Hormonal fluctuations, genetic predispositions, and lifestyle factors significantly shape mental health outcomes, while traditional treatments like selective serotonin reuptake inhibitors and hormone replacement therapy have limitations. Advancements in pharmacogenomics, metabolomics, and digital health technologies offer promising, individualized solutions. Integrative models combining hormone therapy, cognitive behavioral therapy, and lifestyle interventions show strong efficacy. However, healthcare accessibility and stigma remain challenges. Future efforts should focus on clinical validation, ethical implementation, and equitable care to optimize mental health outcomes and overall well-being for perimenopausal women.
