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Co-occurrence Network Analysis of Keywords in Geriatric Frailty
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Young Ji Kim, Soong Nang Jang, Jung Lim Lee
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J Korean Acad Community Health Nurs. 2018;29(4):429-439. Published online December 31, 2018
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DOI: https://doi.org/10.12799/jkachn.2018.29.4.429
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- PURPOSE
The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty.
METHODS
10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program.
RESULTS
The top five keywords with a high frequency of occurrence include ‘disability’, ‘nursing home’, ‘sarcopenia’, ‘exercise’, and ‘dementia’. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of ‘long term care’ (0.55), ‘gait’ (0.42), ‘physical activity’ (0.42), ‘quality of life’ (0.42), and ‘physical performance’ (0.38). The betweenness centralities of the keywords were listed in the order of depression’ (0.32), ‘quality of life’ (0.28), ‘home care’ (0.28), ‘geriatric assessment’ (0.28), and ‘fall’ (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity.
CONCLUSION
After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.
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Citations
Citations to this article as recorded by  - A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling
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