TY - JOUR
T1 - COVID-19 and Sleep Problems
T2 - A Perspective from Bibliometric Analysis
AU - Sun, He Li
AU - Wang, Yue Ying
AU - Feng, Yuan
AU - Cui, Xiling
AU - Cheung, Teris
AU - Su, Zhaohui
AU - Tang, Yi Lang
AU - Ungvari, Gabor S.
AU - Ng, Chee H.
AU - Xiang, Yu Tao
N1 - Publisher Copyright:
© 2024 Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85184686587&partnerID=8YFLogxK
U2 - 10.1080/15402002.2023.2301412
DO - 10.1080/15402002.2023.2301412
M3 - Article
C2 - 38240561
AN - SCOPUS:85184686587
SN - 1540-2002
VL - 22
SP - 457
EP - 471
JO - Behavioral Sleep Medicine
JF - Behavioral Sleep Medicine
IS - 4
ER -