Copyright
©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatr. Dec 19, 2021; 11(12): 1314-1327
Published online Dec 19, 2021. doi: 10.5498/wjp.v11.i12.1314
Published online Dec 19, 2021. doi: 10.5498/wjp.v11.i12.1314
Developing a nomogram for predicting the depression of senior citizens living alone while focusing on perceived social support
Haewon Byeon, Department of Medical Big Data, Inje University, Gimhae, 50834, Gyeon
Author contributions: Byeon H was designed the study, involved in data interpretation, preformed the statistical analysis, and assisted with writing the article.
Supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07041091 , NRF-2021S1A5A8062526).
Institutional review board statement: The study was approved by the Research Ethics Review Board of the National Biobank of Korea (No. KBN-2019-005) and the H University (No. 20180042).
Informed consent statement: All patients gave informed consent.
Conflict-of-interest statement: No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.
Data sharing statement: Technical appendix, statistical code from the corresponding author at bhwpuma@naver.com .
STROBE statement: The authors have read the STROBE statement—checklist of items, and the manuscript was prepared and revised according to the STROBE statement—checklist of items.
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/
Corresponding author: Haewon Byeon, DSc, PhD, Associate Professor, Director, Department of Medical Big Data, Inje University, 197, Inje-ro, Gimhae, 50834, Gyeonsangnamdo, South Korea. bhwpuma@naver.com
Received: May 23, 2021
Peer-review started: May 23, 2021
First decision: July 14, 2021
Revised: July 18, 2021
Accepted: November 3, 2021
Article in press: November 3, 2021
Published online: December 19, 2021
Peer-review started: May 23, 2021
First decision: July 14, 2021
Revised: July 18, 2021
Accepted: November 3, 2021
Article in press: November 3, 2021
Published online: December 19, 2021
Core Tip
Core Tip: In this study, the significant predictors of depression of the senior citizens living alone were the experiences of suicidal urge over the past year, dissatisfaction with help from neighbors, subjective loneliness, age, and low self-esteem. The results of this study implied that it is necessary to develop a support system customized for subjects to strengthen the relation network for preventing depression in senior citizens living alone so that they can receive actual support (reinforced qualitative network) from acquaintances such as neighbors rather than the frequency of physical contact (reinforced quantitative network).