Frontiers in Aging Neuroscience (Apr 2024)

Research status and global trends of late-life depression from 2004 to 2023: bibliometric analysis

  • Ruonan Du,
  • Kebing Yang,
  • Wei Li,
  • Zhiren Wang,
  • Haipeng Cai

DOI
https://doi.org/10.3389/fnagi.2024.1393110
Journal volume & issue
Vol. 16

Abstract

Read online

BackgroundGlobal research hotspots and future research trends in the neurobiological mechanisms of late-life depression (LLD) as well as its diagnosis and treatment are not yet clear.ObjectivesThis study profiled the current state of global research on LLD and predicted future research trends in the field.MethodsLiterature with the subject term LLD was retrieved from the Web of Science Core Collection, and CiteSpace software was used to perform econometric and co-occurrence analyses. The results were visualized using CiteSpace, VOSviewer, and other software packages.ResultsIn total, 10,570 publications were included in the analysis. Publications on LLD have shown an increasing trend since 2004. The United States and the University of California had the highest number of publications, followed consecutively by China and England, making these countries and institutions the most influential in the field. Reynolds, Charles F. was the author with the most publications. The International Journal of Geriatric Psychiatry was the journal with the most articles and citations. According to the co-occurrence analysis and keyword/citation burst analysis, cognitive impairment, brain network dysfunction, vascular disease, and treatment of LLD were research hotspots.ConclusionLate-life depression has attracted increasing attention from researchers, with the number of publications increasing annually. However, many questions remain unaddressed in this field, such as the relationship between LLD and cognitive impairment and dementia, or the impact of vascular factors and brain network dysfunction on LLD. Additionally, the treatment of patients with LLD is currently a clinical challenge. The results of this study will help researchers find suitable research partners and journals, as well as predict future hotspots.

Keywords