Zhou LN, Ma XC, Wang W. Incidence and risk factors of depression in patients with metabolic syndrome. World J Psychiatry 2024; 14(2): 245-254 [PMID: 38464768 DOI: 10.5498/wjp.v14.i2.245]
Corresponding Author of This Article
Wei Wang, MD, Doctor, Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 West Yanta Road, Xi’an 710061, Shaanxi Province, China. xianwv@sina.com
Research Domain of This Article
Psychiatry
Article-Type of This Article
Retrospective Cohort Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
World J Psychiatry. Feb 19, 2024; 14(2): 245-254 Published online Feb 19, 2024. doi: 10.5498/wjp.v14.i2.245
Incidence and risk factors of depression in patients with metabolic syndrome
Li-Na Zhou, Xian-Cang Ma, Wei Wang
Li-Na Zhou, Xian-Cang Ma, Wei Wang, Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi Province, China
Author contributions: Zhou LN, Wang W contributed to conception and design of the study, acquisition and interpretation of data, drafting the article, final approval of the version to be published; Ma XC contributed to conception and design of the study, and reflect the design and recruit subjects.
Supported byShaanxi Provincial Key Research and Development Program, No. 2023-YBSF-517; and National Natural Science Foundation of China, No. 82301737.
Institutional review board statement: This study only adopted publicly available data. Ethical review and approval were not required for this study in accordance with the local legislation and institutional requirements.
Informed consent statement: This study only adopted publicly available data. Signed informed consent form or document were not applicable for this study.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
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/
Corresponding author: Wei Wang, MD, Doctor, Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 West Yanta Road, Xi’an 710061, Shaanxi Province, China. xianwv@sina.com
Received: November 14, 2023 Peer-review started: November 14, 2023 First decision: December 7, 2023 Revised: December 14, 2023 Accepted: January 8, 2024 Article in press: January 8, 2024 Published online: February 19, 2024 Processing time: 83 Days and 17.9 Hours
ARTICLE HIGHLIGHTS
Research background
Metabolic syndrome (MetS) is also common in individuals with psychiatric disorders and becoming more common in young people with depression. However, the relationship between depression and MetS remains unclear.
Research motivation
Many studies have explored the relationship between depression and MetS, especially in older people. China has entered an aging society. However, there are still few studies on the elderly in Chinese communities.
Research objectives
Based on a large community-based cohort study conducted in mainland China, we designed this study to address the following: (1) The prevalence of depression in MetS patients; (2) the changing trajectory of the prevalence of MetS during the 7-year follow-up; and (3) the risk factors for the development of depression in MetS patients and the construction of predictive models.
Research methods
This study analyzed 7 years of follow-up data from the CHARLS database, screened the risk factors for depression in patients with metabolic syndrome, and constructed a predictive model for depression in patients with metabolic syndrome by regression analysis.
Research results
People with metabolic syndrome had a higher incidence of depression, which increased with the extension of follow-up time. The predictive model of baseline depression level, sleep duration, chronic disease, age, and weight was significant for depression risk after 2 years in patients with metabolic syndrome.
Research conclusions
All in all, this study shows the prevalence of depression in middle-aged and elderly patients with MetS increases over time. More attention should be paid to early identification and intervention of depressive symptoms in MetS patients.
Research perspectives
Mechanisms of depression in patients with MetS, early predictors and intervention modalities.
