BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
7/19/2022 7:32:06 AM | Browse: 345 | Download: 587
 |
Received |
|
2022-02-27 04:58 |
|
Peer-Review Started |
|
2022-02-27 04:59 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2022-04-18 07:03 |
|
Revised |
|
2022-04-29 15:31 |
|
Second Decision |
|
2022-06-20 03:01 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Company Editor-in-Chief |
|
2022-06-27 00:06 |
|
Articles in Press |
|
2022-06-27 00:06 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2022-06-29 03:14 |
|
Publish the Manuscript Online |
|
2022-07-19 07:32 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Public, Environmental & Occupational Health |
| Manuscript Type |
Review |
| Article Title |
Influencing factors, prediction and prevention of depression in college students: A literature review
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Xin-Qiao Liu, Yu-Xin Guo, Wen-Jie Zhang and Wen-Juan Gao |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Xin-Qiao Liu, PhD, Associate Professor, School of Education, Tianjin University, No. 135 Tongyan Road, Jinnan District, Tianjin 300350, China. xinqiaoliu@pku.edu.cn |
| Key Words |
Depression; Prediction; Prevention; Artificial intelligence; Big data; Machine learning |
| Core Tip |
This study reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for depression among college students. The influencing factors can be categorized into students’ demographic characteristics, college experience, lifestyle, and social support. For the prediction of depression, methods such as machine algorithms and artificial intelligence have been employed together with the traditional psychological scales. This study summarizes general and professional measures that can be taken for the prevention and treatment of college students' depression. |
| Publish Date |
2022-07-19 07:32 |
| Citation |
Liu XQ, Guo YX, Zhang WJ, Gao WJ. Influencing factors, prediction and prevention of depression in college students: A literature review. World J Psychiatry 2022; 12(7): 860-873 |
| URL |
https://www.wjgnet.com/2220-3206/full/v12/i7/860.htm |
| DOI |
https://dx.doi.org/10.5498/wjp.v12.i7.860 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
