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RISS 인기검색어
- 검색키워드
- 저자 : 백승희 ( Baek Seunghui ) (검색결과 2 건)
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한국노인운동의 키워드 네트워크 분석을 통한 연구동향 (1995~2019년)
백승희 ( Baek Seunghui ),김은정 ( Kim Eunjung ) 대한체육학회(구 한국유산소운동과학회) 2021 대한스포츠융합학회지 (jcses) Vol.19 No.1
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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백승희 ( Baek Seunghui ),신지은 ( Shin Jieun ) 대한체육학회 2021 대한스포츠융합학회지 (jcses) Vol.19 No.2
The study aims to examine the correlation between the Bady max index(BMI) as one of an obesity index andthe grip strength of Korean adolescents. Among the adolescents aged 12-18 years from the 2016-2019 National Health and Nutrition ExaminationSurvey (KNHANES), 1,032 males and 950 females were selected as final subjects, excluding subjects whoseheight, weight, and grip strength were not investigated or measured. All statistical analysis used SAS 9.4, andcomplex sample analysis was conducted using weights based on the guidelines for using raw data from the KNHANES.First, relative grip strength was divided into quartiles and the differences between groups wereanalyzed using a general linear model (GLM). Then, the relationship between waist circumference and relativegrip strength according to the BMI percentile level of children and adolescents was analyzed throughregression analysis. As a result, the basic characteristics were analyzed by mean and standard error, frequency and percentage (%), and tested through general linear model (GLM) and crossover analysis (Rao-Scott x2). Second, regression analysis was used to determine the relationship between obesity and relative grip strength according to the level of obesity, and the relationship between obesity and relative grip strength was analyzed by adjusting for age. The differences in BMI, weight, height, and relative grip strength were all significantly higher in males according to gender, and in the relationship between obesity and relative grip strength, both male and female adolescents with normal and obese weights, the higher the relative grip strength, the higher the BMI. was significantly lowered. The results of this study are expected to serve as important basic data fordetermining the health status of adolescents, and furthermore, it can give you the motivation to improve your physical fitness by being aware of your physical fitness level. And, it is expected that it can be used as an index to manage the health of students in the school field.
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