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Publication Name World Journal of Psychiatry
Manuscript ID 122815
DOI 10.5498/wjp.122815
Country China
Category Psychology, Psychoanalysis
Manuscript Type Observational Study
Article Title Autonomic function characteristics and stratification analysis of adolescent patients with depressive disorders based on the low-frequency: High-frequency ratio
Manuscript Source Unsolicited Manuscript
All Author List Ya-Qin Zhao, Ting Wang, Nan Liu, Ping Zhao, Jiao-Jiao Sun, Ai-qin Peng, Qiu-chen Hu, Jia Li and Xiao-Wei Tang
Funding Agency and Grant Number
Corresponding Author Xiao-Wei Tang, Chief Physician, MD, Department of Psychiatry, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, No. 2 Wutaishan Road, Yangzhou 225003, Jiangsu Province, China. 15062790442@163.com
Key Words Adolescent patients with DDsAdolescent patients with DDs
Core Tip Adolescent depressive disorder (DDs) severity is independently correlated with the low-frequency (LF): High-frequency (HF) ratio (reflecting autonomic nervous imbalance), anxiety symptoms, and various socio-familial factors. Per capita monthly household income is a protective factor. Integrating the LF:HF ratio with psychosocial factors can facilitate early identification, severity stratification, and precise intervention for adolescent DDs.
Citation Zhao YQ, Wang T, Liu N, Zhao P, Sun JJ, Peng AQ, Hu QC, Li J, Tang WX. Autonomic function characteristics and stratification analysis of adolescent patients with depressive disorders based on the low-frequency: High-frequency ratio. World J Psychiatry 2026; In press
PDF 122815-in-press.pdf
Received
2026-04-29 03:20
Peer-Review Started
2026-04-29 03:21
First Decision by Editorial Office Director
Return for Revision
2026-07-06 03:30
Revised
2026-07-16 04:11
Publication Fee Transferred
2026-07-30 10:31
Second Decision by Editor
2026-08-07 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-08-10 10:11
Articles in Press
2026-08-10 10:11
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (online)
Open Access 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.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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