Publication Name	World Journal of Psychiatry
Manuscript ID	113273
Country	China

Category	Psychology
Manuscript Type	Observational Study
Article Title	Constructing a predictive model for postpartum anxiety in patients with preeclampsia based on multidimensional indicators and its application
Manuscript Source	Unsolicited Manuscript
All Author List	Xiao-Yan Zhang, Yun Shi, Yi-Ting Lu, Ya-Jun Zhong, Jia-Xian Wu and Xiao-Qing Wang
Funding Agency and Grant Number	Funding Agency Grant Number 2023 Academy-Level Research Start-Up Fund Project YK202313
Corresponding Author	Xiao-Qing Wang, MD, Department of Gynaecology and Obstetrics, Suzhou Ninth People’s Hospital (Affiliated with Soochow University), No. 2666 Ludang Road, Taihu New Town, Wujiang District, Suzhou 215200, Jiangsu Province, China. wang_xqing@126.com
Key Words	Preeclampsia; Postpartum; Anxiety disorder; Influencing factors; Prediction model
Core Tip	Preeclampsia, as an idiopathic disease during pregnancy, is not conducive to the physical and mental health of pregnant women and the growth and development of the fetus, and will increase the risk of postpartum anxiety in pregnant women. This study identified the influencing factors of postpartum anxiety in patients with preeclampsia and constructed a predictive model, offering guidance for clinical risk assessment and preventive management.
Citation	Zhang XY, Shi Y, Lu YT, Zhong YJ, Wu JX, Wang XQ. Constructing a predictive model for postpartum anxiety in patients with preeclampsia based on multidimensional indicators and its application. World J Psychiatry 2025; In press

Received	2025-10-17 08:55
Peer-Review Started	2025-10-17 08:55
First Decision by Editorial Office Director	2025-11-06 08:27
Return for Revision	2025-11-06 08:27
Revised	2025-11-20 13:51
Publication Fee Transferred	2025-11-26 06:09
Second Decision by Editor	2025-12-16 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-16 06:42
Articles in Press	2025-12-16 06:42
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3206 (online)
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