키워드 네트워크 분석을 이용한 필라테스 연구 동향 분석: 2004∼2022년 국내 학위 및 학술지 논문을 중심으로

Abstract

Purpose: The purpose of this study is to analyze research trends in lPaites-related research using big data analysis. This study is to identify research trends throuhg network analysis using keywords from domestic theses and journal articles related to Pilates. Method: Frequency analysis, network centrality analysis, and CONCOR analysis were performed on keywords extracted from 706 Pilates-related papers published from 2004 to 2022. Results: The results of this study are as follows. A frequency analyss iof Pilates-related studies revealed the following terms in order: ‘women’, ‘program’, ‘health-relaetd fitness’, ‘satisfaction’, ‘musculoskeleta l system’, ‘apparatus Pilates’, and ‘mat Pilates’. Secondly, network centrality analysis highlighted that ‘women’, ‘program’, ‘health-related fitness’, ‘musculoskeletal system’, and ‘balance’ had high network centrality. Thirdly, CONCOR analysis focusing on Pilates-related keywords revealed clusters such as ‘women’, ‘pregnant women’, ‘specialists’, ‘studio’, and ‘instructors’. Conclusion: The conclusion of Pilates-related research is as follows: First, there is a need to move away from female-centered research and broaden the research scope to encompass the entire population. Second, Pilates research should progress beyond a narrow progra m and encompass studies verifying its physiological, physical, and psychological effects through a comprehensive curriculum. Third, in diversifying Pilates-related research topics, it is crucial to explore ont only the significance of improving the studio service environment but also the professionalism of instructors.