Hotspot of sub-health in China: a co-word cluster analysis
10.3760/cma.j.cn115682-20191107-04057
- VernacularTitle:国内亚健康研究热点的共词聚类分析
- Author:
Xinyu TAO
1
;
Rongrong JIANG
;
Ran YE
;
Jiawei LI
;
Mengting XUE
Author Information
1. 南京中医药大学护理学院 210023
- Keywords:
Cluster analysis;
Sub-health;
Co-word analysis;
Hotspot research
- From:
Chinese Journal of Modern Nursing
2020;26(19):2598-2603
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the hotspot of sub-health in China for nearly 18 years and understand the research status in this field so as to provide a basis for further research of sub-health.Methods:From January 2001 to April 2019, we took the keyword of papers on sub-health published in core journals of the Chinese Journal Full-text Database as subjects and the co-word cluster analysis as a main research method. Those keywords were carried out the co-word cluster analysis with the Excel, International Business Machines Corporation (IBM) SPSS 22.0 as well as the Chinese Medicine Data Association Analysis Platform Software.Results:A total of 408 literatures were screened and 38 high-frequency keywords were extracted. Co-word cluster analysis displayed three hot spots of sub-health in China for nearly 18 years, including the development of sub-health scales, incidence and influencing factors of sub-health, sub-health disease and its intervention methods.Conclusions:At the present stage, sub-health related researches are mature which becomes three stable hot spots. In future studies, we should take the wide application of respondents and the multi-dimensional investigation content into consideration in the development of sub-health scales, and enhance the vertical comparison of different populations in the same district as well as horizontal comparison of different districts in the same population, and deeply dig and test more effective interventions for sub-health.
