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12/4/2025 6:47:51 AM | Browse: 11 | Download: 0
Publication Name World Journal of Psychiatry
Manuscript ID 113533
Country China
Category Psychology
Manuscript Type Retrospective Study
Article Title Time series analysis of anxiety and depression during pregnancy to postpartum depression based on cross-lagged model
Manuscript Source Unsolicited Manuscript
All Author List Yi-Ping Gao and Yu-Yan Lu
Funding Agency and Grant Number
Corresponding Author Yu-Yan Lu, Department of Obstetrical, Suzhou Ninth People’s Hospital, No. 2666 Ludang Road, Taihu New Town, Wujiang District, Suzhou 215200, Jiangsu Province, China. 15250193830@163.com
Key Words Pregnancy period; Postpartum; Anxiety; Depression; Cross-lag model
Core Tip Hormonal fluctuations, anatomical changes, and evolving family roles during pregnancy often disrupt women’s physical and emotional balance, leading to mental health challenges. This study revealed that fluctuations in anxiety and depressive emotions at different gestational stages have time-lagged associations with postpartum depression, offering a new insight for clinical management of maternal emotional health during and after pregnancy.
Citation Gao YP, Lu YY. Time series analysis of anxiety and depression during pregnancy to postpartum depression based on cross-lagged model. World J Psychiatry 2025; In press
Received
2025-10-10 08:25
Peer-Review Started
2025-10-10 08:26
First Decision by Editorial Office Director
2025-10-24 06:32
Return for Revision
2025-10-24 06:32
Revised
2025-11-04 15:38
Publication Fee Transferred
2025-11-11 03:22
Second Decision by Editor
2025-12-04 02:33
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-04 06:47
Articles in Press
2025-12-04 06:47
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (online)
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/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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