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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Aug 19, 2026; 16(8): 120820
Published online Aug 19, 2026. doi: 10.5498/wjp.120820
Letter to the Editor: From glycemia to mood: Exploration of a postpartum depression prediction model in gestational diabetes
Wei-Li Zhang, Huang-Ling Gao, Miao-Miao Yang, Quan-Feng Zhu
Wei-Li Zhang, Huang-Ling Gao, Miao-Miao Yang, Quan-Feng Zhu, Department of Psychiatry, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou 311201, Zhejiang Province, China
Co-first authors: Wei-Li Zhang and Huang-Ling Gao.
Co-corresponding authors: Miao-Miao Yang and Quan-Feng Zhu.
Author contributions: Zhu QF and Yang MM contribute equally to this study as co-corresponding authors and they designed and managed the project; Zhang WL and Gao HL contribute equally to this study as co-first authors and they wrote the main manuscript; and all authors reviewed and approved the manuscript.
AI contribution statement: The entirety or any portion of the Main Text of the manuscript was not AI-generated. Before seeking professional language editing services for language polishing, this study utilized AI tools for language translation.
Conflict-of-interest statement: No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.
Corresponding author: Quan-Feng Zhu, Associate Chief Pharmacist, Director, Department of Psychiatry, Affiliated Xiaoshan Hospital, Hangzhou Normal University, No. 728 Yucai North Road, Hangzhou 311201, Zhejiang Province, China. quanfengzhu@126.com
Received: March 16, 2026
Revised: April 16, 2026
Accepted: May 11, 2026
Published online: August 19, 2026
Processing time: 126 Days and 7.2 Hours
Core Tip

Core Tip: This study investigated key factors influencing postpartum depression (PPD) in women with gestational diabetes mellitus (GDM) and developed a risk prediction model. PPD in GDM results from metabolic, obstetric, and psychosocial factors. Independent risk factors included elevated 2-hour postprandial glucose, suboptimal glycemic control, mother-infant separation, low family care, and low perceived social support. A predictive model based on these five factors demonstrated good discrimination and calibration, offering quantitative early screening and stratified management. Findings underscore the importance of integrated biopsychosocial interventions in perinatal care. Future multicenter studies should externally validate the model and incorporate additional biomarkers and psychological measures.

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