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

He-Li Sun1,2, Yue Ying Wang1,2, Yuan Feng3

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The COVID-19 pandemic impacted sleep quality. Bibliometric analysis of sleep research reveals key authors, institutions, and common keywords like "mental health" and "anxiety".

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Area of Science:

  • Bibliometrics
  • Sleep Science
  • Public Health

Background:

  • The COVID-19 pandemic and associated containment measures significantly affected population sleep quality.
  • Understanding the research landscape on sleep during and before the pandemic is crucial.

Purpose of the Study:

  • To conduct a bibliometric analysis of sleep-related research, encompassing both COVID-19 and non-COVID-19 studies.
  • To provide an overview of research outputs, collaborations, and emerging trends in sleep science.

Main Methods:

  • Bibliometric analysis of 4,499 COVID-19 and sleep articles, and 25,883 non-COVID-19 sleep articles from Web of Science Core Collection (Dec 2019 - Aug 2023).
  • Utilized R package 'bibliometrix' for data summarization and VOSviewer for network visualization and keyword co-occurrence analysis.

Main Results:

  • Research primarily originated from China, the USA, and Italy.
  • Huazhong University of Science was the most productive institution for COVID-19 sleep research.
  • Key terms included 'mental health,' 'anxiety,' and 'depression,' with 'sleep quality' and 'quality of life' as future research directions.

Conclusions:

  • This bibliometric study offers a comprehensive perspective on the sleep research landscape.
  • It highlights the impact of COVID-19 on sleep and identifies key areas for future investigation.