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World J Psychiatry. Nov 19, 2026; 16(11): 122935
Published online Nov 19, 2026. doi: 10.5498/wjp.122935
Published online Nov 19, 2026. doi: 10.5498/wjp.122935
Association between mindfulness and sleep quality in perimenopausal women: A cross-sectional mediation analysis of depressive symptoms
Wen-Jun Wang, Department of Gynecological Clinic, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
Wen-Wen Miao, Department of Psychiatry, The Fourth People’s Hospital of Wuhu, Wuhu 241000, Anhui Province, China
Xin-Jing Li, Meng-Xia Yang, Jing-Xian Niu, Department of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
Yan-Miao Han, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
Yu-Rong Xing, Department of International Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
Co-corresponding authors: Yan-Miao Han and Yu-Rong Xing.
Author contributions: Wang WJ contributed to visualization; Wang WJ and Miao WW contributed to writing - original draft; Wang WJ, Miao WW, and Niu JX contributed to formal analysis; Wang WJ, Miao WW, Han YM, and Xing YR contributed to conceptualization and methodology; Wang WJ, Li XJ, Yang MX, and Niu JX contributed to investigation; Wang WJ, Li XJ, and Yang MX contributed to data curation; Wang WJ, Miao WW, Li XJ, Yang MX, and Niu JX contributed to validation; Li XJ, Yang MX, Niu JX, Han YM, and Xing YR contributed to writing - review and editing; Han YM and Xing YR contributed to funding acquisition, project administration, resources, supervision, and they contributed equally to this manuscript and are co-corresponding authors. All authors approved the final manuscript.
AI contribution statement: ChatGPT by OpenAI was used solely as an assistive tool for language editing, proofreading, and minor assistance with manuscript organization and formatting. The AI tool was not used to generate original scientific content, collect or analyze raw data, conduct statistical analyses, create figures or tables, draw scientific conclusions, or prepare references. All AI-assisted outputs were carefully reviewed, verified, revised, and approved by the authors. The authors take full responsibility and accountability for the integrity, accuracy, originality, and scientific validity of the manuscript and all submitted materials.
Supported by Henan Province 2026 Science and Technology Development Plan, No. 262102311030; and the First Affiliated Hospital of Zhengzhou University 2023 Nursing Research Special Program.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (Approval No. 2024-KY-1996-001).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: The datasets generated and/or analyzed during the current study are not publicly available due to institutional privacy policies but are available from the corresponding author on reasonable request.
Corresponding author: Yan-Miao Han, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, No. 1 Longhu Zhonghuan Road, Jinshui District, Zhengzhou 450000, Henan Province, China. hanyanmiao611527@126.com
Received: May 7, 2026
Revised: June 20, 2026
Accepted: August 10, 2026
Published online: November 19, 2026
Processing time: 180 Days and 18.7 Hours
Revised: June 20, 2026
Accepted: August 10, 2026
Published online: November 19, 2026
Processing time: 180 Days and 18.7 Hours
Core Tip
Core Tip: This cross-sectional study of 693 perimenopausal women found that depressive symptoms mediated 63.5% of the association between mindfulness and sleep quality. Higher mindfulness was associated with lower depressive symptoms, which in turn were associated with better sleep quality. These findings suggest that depressive symptoms may partially explain the mindfulness-sleep quality relationship. Due to the cross-sectional design, results indicate indirect associations only. Longitudinal studies are needed to confirm causal pathways.