Fatigue During Pregnancy: A Bibliometric Analysis

Matern Child Health J. 2023 May;27(5):766-773. doi: 10.1007/s10995-023-03609-4. Epub 2023 Feb 13.


Objective: This study uses a systematic review with bibliometric analysis methods to investigate the characteristics of the most cited research papers in the field of nursing fatigue and pregnancy.

Methods: In the Web of Science (WoS) database. We used the keywords "fatigue" and "pregnancy" to search for articles published from 2000 to 2020, limited to SSCI and Science Citation Index (SCI) journal-type articles. This study identifies the most cited studies in the WoS database based on PRISMA guidelines (Preferred reporting items for systematic reviews and meta-analyses). These studies form the research data, then visualized and analyzed using a retrospective bibliometric analysis and VOSviewer.

Results: The studies in the dataset were analyzed in 319 different journals in 51 countries between 2000 and 2020. The study was found that the United States (US) was the country with the highest yield. The most frequent keywords were postpartum, depression, sleep, and postpartum depression.

Conclusion: The research results further laid the foundation of bibliometrics for scholars and identified researchers, scientific journals, countries, and hot topics for fatigue-related pregnancy literature. Journals with high impact factors contain the most cited research and open new horizons for research in the nursing field of pregnancy-related fatigue, thus providing research inspiration for investigators in this field.

Keywords: Depression; Fatigue; Postpartum depression; Pregnancy symptoms.

Publication types

  • Systematic Review
  • Review

MeSH terms

  • Bibliometrics*
  • Databases, Factual
  • Female
  • Humans
  • Retrospective Studies
  • United States