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http://dx.doi.org/10.12925/jkocs.2022.39.1.63

A Clustering of Physical Fitness according to the Skeletal Maturation of Elementary School Students : Focused on Cluster Analysis  

Kim, Dae-Hoon (School of Sports, Professor, Soongsil University)
Yoon, Hyoung-ki (School of Sports, Professor, Soongsil University)
Oh, Sei-Yi (School of Sports, Professor, Soongsil University)
Lee, Young-Jun (School of Sports, Professor, Soongsil University)
Cho, Seok-Yeon (Department of Sports for All, Graduate School, Soongsil University)
Song, Dae-Sik (Department of Sports for All, Graduate School, Soongsil University)
Seo, Dong-Nyeuck (Department of Sports for All, Graduate School, Soongsil University)
Kim, Ju-Won (Department of Sports for All, Graduate School, Soongsil University)
Na, Gyu-Min (Department of Sports for All, Graduate School, Soongsil University)
Kim, Min-Jun (Department of Sports for All, Graduate School, Soongsil University)
Oh, ․Kyung-A (School of Sports, Professor, Soongsil University)
Publication Information
Journal of the Korean Applied Science and Technology / v.39, no.1, 2022 , pp. 63-73 More about this Journal
Abstract
The aim of this study was to cluster according to the bone age of elementary school students in order to analyze the physique, physical fitness, and skeletal maturation of each cluter group and to provide basic data for the balanced development of elementary school students through data analysis. The subjects of this study were 2243 students aged 8 to 13 years, and the skeletal maturation were calculated by applying them to the TW3 method score conversion table after the X-ray films were taken. A total of 2 components in physique were measured using a stadiometer(Hanebio, Korea, 2021) and the Inbody 270(Biospace, Korea, 2019), and a total of 7 components in physical fitness, which included muscular strength(Hand Grip Strength), balance(Bass Stick Test), agility(Plate Tapping), power(Standing Long Jump), flexibility(Sit&Reach), muscular endurance(Sit-Up), and cardiovascular endurance(Shuttle Run) were measured as well. K-Means clustering method, cross-tabulation analysis, and one-way variable analysis(ANOVA) were conducted for data processing using the SPSS PC/Program(Version 26.0) and Bristics Studio Tool, and it was considered significant at the level of p< .05. The results of this study may be summarized as follow. First, as a result of clustering using three components of skeletal maturation: retarded, normal, and advanced, cluster 1(Retarded) showed excellence in muscular strength, balance, and agility. cluster 2(Normal) showed poor flexibility, whereas cluster 3(Advanced) showed excellence in muscular strength. Second, as a result of analyzing the differences in physique according to the clustering of elementary school students by their individual characteristics, cluster 3(Advanced) showed excellence in height, weight, and body fat percentage. Third, as a result of analyzing the differences in physical fitness according to the clustering of elementary school students by their individual characteristics, cluster 3(Advanced) showed excellence in Hand Grip Strength(Left, Right), whereas cluster 1(Retarded) showed excellence in Bass Stick Test, and cluster 3(Advanced) showed excellence in Standing Long Jump.
Keywords
Elementary School Students; Skeletal Maturation; Physical Fitness; Clustering; Cluster Analysis;
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