Co-word cluster analysis of research hotspots in perinatal depression in the past 5 years
10.3760/cma.j.cn115682-20200320-02015
- VernacularTitle:近5年围产期抑郁研究热点的共词聚类分析
- Author:
Dan LIU
1
;
Ruirui HUANG
;
Beimei LEI
;
Meili XIAO
;
Chunli YAN
;
Jun LEI
Author Information
1. 中南大学湘雅护理学院，长沙 410013；中南大学湘雅三医院泌尿外科，长沙 410013
- Keywords:
Depression;
Perinatal;
Bibliometrics;
Word frequency analysis;
Cluster analysis;
Research hotspots
- From:
Chinese Journal of Modern Nursing
2020;26(27):3758-3764
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze and compare the hotspots and differences of domestic and foreign perinatal depression research in the past five years, and provide a reference and for the research of perinatal depression in China.Methods:The electronic databases Wanfang and Pubmed were searched, and domestic and foreign literatures on perinatal depression published from 2015 to 2019 were included. The Bicomb 2.0 bibliographic co-occurrence analysis system and gCLUTO software were used for word frequency analysis and two-way cluster analysis.Results:A total of 2 616 English articles and 1 074 Chinese articles were included. Totally 35 English and 20 Chinese high-frequency keywords were extracted for co-word cluster analysis. The results showed that English literature clustering included 5 topics: effects of perinatal depression on maternal and child health, influencing factors of perinatal depression, etiology of perinatal depression, epidemiology, diagnosis and interventions of perinatal depression, and early screening of perinatal depression; Chinese literature clustering included: effects of social support on negative emotions and quality of life in perinatal pregnant women, influencing factors of perinatal depression, effects of psychological intervention on perinatal pregnant women's negative emotions and pregnancy outcome, and effects of clinical nursing and health education on psychological state in pregnant women.Conclusions:The direction of exploration in the study of perinatal depression in China may be strengthening the discussion of perinatal depression, increasing long-term follow-up research on the offspring of women with perinatal depression, developing and improving multi-factor, multi-dimensional risk factor assessment tools for perinatal depression, and building a comprehensive management model.
