ScholarWorks@숙명여자대학교

초록

This study was conducted to establish the relationship of a multiple regression analysis between anaerobic exercise ability, health fitness and wellness domain of dancers. Data were collected by surveying 110 dancers from middle and high schools, universities, and graduate schools after identifying the sample. One Gate, a TestWell survey, measures anaerobic exercise capacity using Wingate Anaerobic peak power [PP], Average Power [AP], Fatigue Index [FI]), cardiovascular endurance (PEI), flexibility, body composition, body fat mass (BFM), body mass index (BMI), percentage body fat (PBF), lean body mass (LBM), and cellular water. For statistical analysis, the study used t-test, one-way ANOVA, Fishers Least Significant Difference (LSD) test, Simple Linear Regression, and Multiple Linear Regression. As a result of the investigation and analysis of this research, it turned out that there is a significant (p<.05) causal relationship between physical domain and dancing career, body fat, percentage body fat, and body mass index. In conclusion, through the collected data, it is possible to manage and prevent diseases using big data. The intention of this research is to propose a utilization method by providing knowledge in dance medicine field through diagnosis, treatment and prevention with an analysis of clustered information.

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