A keyword network analysis of research trends on metabolic syndrome
Abstract
Recently, the prevalence and mortality of metabolic syndrome has been increasing worldwide. Accordingly, interest in metabolic syndrome and scientific and clinical studies are increasing. Through keyword analysis of articles related to metabolic syndrome published in Korea Citation Index (KCI) journals for the past 10 years, this study identified key research issues, structural characteristics, and relationships between keywords. The research methodology included data collection, cleaning, visualization, and analysis. Keyword frequency analysis revealed obesity (129 times) was the highest, followed with Health > Exercise > Risk factor > Women > Elderly > Physical activity at more than 50 times. In the structural form of the network, the density was 0.415; average connection strength was 22.821; average connection distance was 1.586; diameter was 3; component was 1; and network centrality was 58.8%. In the structural characteristics of the network, the keyword “obesity” was the highest in both connection and mediation centrality. This study suggests a combination of specific research topics and directions for future metabolic syndrome-related research.
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DOI: https://doi.org/10.32629/jai.v6i3.995
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