Publication Name	World Journal of Psychiatry
Manuscript ID	115468
Country	China

Category	Psychiatry
Manuscript Type	Observational Study
Article Title	Risk factors associated with anxiety and depression in patients with inflammatory bowel disease identified using structural equation modeling
Manuscript Source	Unsolicited Manuscript
All Author List	Yan Zeng, Xue Yang, Xiao-Bo Zhang, Yan Liu and Juan Sun
Funding Agency and Grant Number
Corresponding Author	Juan Sun, Department of Intensive Care Medicine, The First People’s Hospital of Changde City, No. 388 Renmin East Road, Changde 415000, Hunan Province, China. camille0508@163.com
Key Words	Inflammatory bowel disease; Anxiety; Depression; Structural equation modeling; Influencing factors; Medical coping modes
Core Tip	This study applies structural equation modeling to explore factors influencing anxiety and depression in patients with inflammatory bowel disease. It identifies sleep quality and coping modes as key factors influencing anxiety and depression in patients with inflammatory bowel disease. These findings highlight the need for tailored interventions like sleep hygiene education and cognitive-behavioral strategies, could significantly alleviate anxiety and depression, thereby improving overall mental health outcomes and quality of life in this patient population.
Citation	Zeng Y, Yang X, Zhang XB, Liu Y, Sun J. Risk factors associated with anxiety and depression in patients with inflammatory bowel disease identified using structural equation modeling. World J Psychiatry 2026; In press

Received	2025-10-31 08:45
Peer-Review Started	2025-10-31 08:45
First Decision by Editorial Office Director	2025-11-24 10:12
Return for Revision	2025-11-24 10:12
Revised	2025-12-08 05:50
Publication Fee Transferred	2025-12-12 07:26
Second Decision by Editor	2026-01-08 02:47
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-08 05:11
Articles in Press	2026-01-08 05:11
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/
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