한국노인운동의 키워드 네트워크 분석을 통한 연구동향 (1995~2019년)
Research Trend on Elderly exercises in Korea based on Keyword Network Analysis (1995-2019)
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초록
The study aims to identify the research trend centered on keywords most frequently used in research on elderly citizens with the topic of exercise based on domestic academic journals published. Keyword network analysis based on network algorithm was used. For the network text analysis, the SNA package of the R program(version 3.5.3) was adopted to extract major keywords based on the frequency and to identify the connectivity between them. As a result, it turned out that the number of research on senior exercise has been steadily increasing since 1995. Major keywords used were: “elderly”-562 times(28.3%), “elderly women”-377 times(19.0%), “exercise”-281 times(14.1%), “body composition”-159 times(8.0%), “combine exercise”- 143 times(7.2%), “physical fitness”-122 times(6.1%), “balance”-107 times(5.4%), “depression”- 99 times(5.0%), “lipid”-99 times(5.0%), and “resistance exercise”-88 times(4.4%). Also, the result was reanalyzed based on the four major diseases seniors develop gotten from the keyword network analysis. Among the 331 thesis papers on obesity, 48.0% included the keyword “body composition,” 6.9% included “BMI,” 4.2% included “body fat,” and 3.9% included “% body fat.” Also, among the 285 papers on falls, 26.7% included “gait ability,” 24.2% included “fall,” and 18.6% included “BMD.” Among the 218 papers on depression, 45.4% included the keyword “depression,” 33.9% included “QOL,” 20.64% included “self-efficacy,” 9.2% included “self-esteem,” and 7.34% included “life satisfaction.” Meanwhile, among 126 thesis papers on dementia, 17.5% included the keyword “cognitive function,” 13.5% included “BDNF,” and 6.3% included “MMSE-K”. This result of keyword network analysis will be able to serve as the primary data for researchers studying the exercise of aged citizens when establishing an academic system. Also, by emphasizing the importance of elderly workouts, it will be able to work as a bridgehead for policy support in a bid to make the exercising habit a part of their daily life, and ultimately contribute to the development of physical training.
Abstract
The study aims to identify the research trend centered on keywords most frequently used in research on elderly citizens with the topic of exercise based on domestic academic journals published. Keyword network analysis based on network algorithm was used. For the network text analysis, the SNA package of the R program(version 3.5.3) was adopted to extract major keywords based on the frequency and to identify the connectivity between them. As a result, it turned out that the number of research on senior exercise has been steadily increasing since 1995. Major keywords used were: “elderly”-562 times(28.3%), “elderly women”-377 times(19.0%), “exercise”-281 times(14.1%), “body composition”-159 times(8.0%), “combine exercise”- 143 times(7.2%), “physical fitness”-122 times(6.1%), “balance”-107 times(5.4%), “depression”- 99 times(5.0%), “lipid”-99 times(5.0%), and “resistance exercise”-88 times(4.4%). Also, the result was reanalyzed based on the four major diseases seniors develop gotten from the keyword network analysis. Among the 331 thesis papers on obesity, 48.0% included the keyword “body composition,” 6.9% included “BMI,” 4.2% included “body fat,” and 3.9% included “% body fat.” Also, among the 285 papers on falls, 26.7% included “gait ability,” 24.2% included “fall,” and 18.6% included “BMD.” Among the 218 papers on depression, 45.4% included the keyword “depression,” 33.9% included “QOL,” 20.64% included “self-efficacy,” 9.2% included “self-esteem,” and 7.34% included “life satisfaction.” Meanwhile, among 126 thesis papers on dementia, 17.5% included the keyword “cognitive function,” 13.5% included “BDNF,” and 6.3% included “MMSE-K”. This result of keyword network analysis will be able to serve as the primary data for researchers studying the exercise of aged citizens when establishing an academic system. Also, by emphasizing the importance of elderly workouts, it will be able to work as a bridgehead for policy support in a bid to make the exercising habit a part of their daily life, and ultimately contribute to the development of physical training.
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