Citation

Gao M, Gao D, Sun H, Cheng X, An L, Qiao M. Front. Public Health 2021; 9: e596128.

Copyright

(Copyright © 2021, Frontiers Editorial Office)

DOI

10.3389/fpubh.2021.596128

PMID

33968873

PMCID

PMC8096922

Abstract

BACKGROUND: The global incidence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is increasing, with increasing suicide reports. However, the bibliometric analysis of global research on PMS and PMDD is rare. We aimed to evaluate the global scientific output of research on PMS and PMDD and to explore their research hotspots and frontiers from 1945 to 2018 using a bibliometric analysis methodology.

METHODS: Articles with research on PMS and PMDD between 1945 and 2018 were retrieved from the Web of Science Core Collection (WoSCC). We used the bibliometric method, CiteSpace V and VOSviewer to analyze publication years, journals, countries, institutions, authors, research hotspots, and trends. We plotted the reference co-citation network, and we used keywords to analyze the research hotspots and trends.

RESULTS: We identified 2,833 publications on PMS and PMDD research from 1945 to 2018, and the annual publication number increased with time, with fluctuations. Psychoneuroendocrinology published the highest number of articles. The USA ranked the highest among the countries with the most publications, and the leading institute was UNIV PENN. Keyword and reference analysis indicated that the menstrual cycle, depression and ovarian hormones were the research hotspots, whereas prevalence, systematic review, anxiety and depression and young women were the research frontiers.

CONCLUSIONS: We depicted overall research on PMS and PMDD by a bibliometric analysis methodology. Prevalence and impact in young women, systematic review evaluations of risk factors, and the association of anxiety and depression with menstrual cycle phases are the latest research frontiers that will pioneer the direction of research in the next few years.

Language: en

Keywords

Humans; Female; Bibliometrics; Anxiety Disorders; menstrual cycle; bibliometric analysis; CiteSpace; trend; Premenstrual Dysphoric Disorder; Premenstrual Syndrome; Menstrual Cycle; PMS/PMDD