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COVID-19 and Sleep Problems: A Perspective from Bibliometric Analysis.
Sun, He-Li; Wang, Yue Ying; Feng, Yuan; Cui, Xiling; Cheung, Teris; Su, Zhaohui; Tang, Yi-Lang; Ungvari, Gabor S; Ng, Chee H; Xiang, Yu-Tao.
Afiliação
  • Sun HL; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
  • Wang YY; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
  • Feng Y; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
  • Cui X; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
  • Cheung T; Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
  • Su Z; Department of Business Administration, Hong Kong Shue Yan University, Hong Kong SAR, China.
  • Tang YL; School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Ungvari GS; School of Public Health, Southeast University, Nanjing, China.
  • Ng CH; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA.
  • Xiang YT; Atlanta Veterans Affairs Medical Center, Decatur, GA, USA.
Behav Sleep Med ; 22(4): 457-471, 2024.
Article em En | MEDLINE | ID: mdl-38240561
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos do Sono-Vigília / Bibliometria / COVID-19 Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Behav Sleep Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos do Sono-Vigília / Bibliometria / COVID-19 Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Behav Sleep Med Ano de publicação: 2024 Tipo de documento: Article