COVID-19 and Sleep Problems: A Perspective from Bibliometric Analysis

He Li Sun, Yue Ying Wang, Yuan Feng, Xiling Cui, Teris Cheung, Zhaohui Su, Yi Lang Tang, Gabor S. Ungvari, Chee H. Ng, Yu Tao Xiang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Objectives: The Coronavirus Disease 2019 (COVID-19) pandemic and the containment measures for COVID-19 have affected sleep quality in the population. This study explored sleep-related research from a bibliometric perspective to provide an overview of the research outputs in this field. Methods: Original and review articles were retrieved from the Web of Science Core Collection (WOSCC) database from December 2019 to 7 Aug 2023. R package “bibliometrix” was used to summarize the number of articles of authors, institutions, and countries; count the citations of the articles, and generate a Three-Fields Plot. VOSviewer software was applied to visualize the collaboration network among authors and institutions, and to conduct a co-occurrence analysis of keywords. Results: A total of 4,499 articles on COVID-19 and sleep, and 25,883 articles on non-COVID-19 and sleep were included. Sleep related articles were mainly published by authors from China, the USA, and Italy. For COVID-19 and sleep research, Huazhong University of Science was the most productive institution. The Psychiatry Research was the most influential journal across the different subject categories of this field. “Mental health”, “anxiety”, and “depression” were the most common keywords, while “sleep quality” and “quality of life” were the likely topic areas in terms of future research directions. Conclusions: Our findings provide a comprehensive perspective for researchers to understand the wider landscape of both COVID-19 and non-COVID-19 sleep-related research area.

Original languageEnglish
Pages (from-to)457-471
Number of pages15
JournalBehavioral Sleep Medicine
Volume22
Issue number4
Early online date19 Jan 2024
DOIs
Publication statusPublished - 2024

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