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登階測驗指數及代謝適能之相關研究

The Relationships between Step Test Index and Metabolic Fitness

摘要


Purpose: The purpose of current investigation was to determine the relationship between stepping test and metabolic fitness, which is represented as glucose tolerance, and the effect of body composition and lipid profile were studied as well. Methods: One hundred and sixty-nine subjects (age: 21~69 yrs) participated in this study. The relationship among glucose tolerance, physical index (obtained from stepping test), and lipid profile were determined by Person's Correlation. Results: The correlation between age and WHR (r=.33), TG (r=0.26), CHOL (r=0.33), glucose area under curve (r=0.24), and physical index (r=0.18) all were significant difference (p<.05). In metabolic fitness, glucose area under curve (GAUC) showed the significantly positive correlation with age (r=0.24), body fat % (r=0.16), TG (r=0.20), and CHOL (r=0.17), whereas the GAUC showed the negative correlation with physical index (r=-0.20). Conclusion: We found that the glucose tolerance and lipid profile were deteriorated with the increase in age; however the stepping physical index was improved. Thus, it reveals that stepping physical index is not a suitable tool for estimating the condition of cardiopulmonary fitness and health. We suggest that the metabolic fitness should be combined with the stepping fitness test in order to predict whole body fitness more accurately.

並列摘要


Purpose: The purpose of current investigation was to determine the relationship between stepping test and metabolic fitness, which is represented as glucose tolerance, and the effect of body composition and lipid profile were studied as well. Methods: One hundred and sixty-nine subjects (age: 21~69 yrs) participated in this study. The relationship among glucose tolerance, physical index (obtained from stepping test), and lipid profile were determined by Person's Correlation. Results: The correlation between age and WHR (r=.33), TG (r=0.26), CHOL (r=0.33), glucose area under curve (r=0.24), and physical index (r=0.18) all were significant difference (p<.05). In metabolic fitness, glucose area under curve (GAUC) showed the significantly positive correlation with age (r=0.24), body fat % (r=0.16), TG (r=0.20), and CHOL (r=0.17), whereas the GAUC showed the negative correlation with physical index (r=-0.20). Conclusion: We found that the glucose tolerance and lipid profile were deteriorated with the increase in age; however the stepping physical index was improved. Thus, it reveals that stepping physical index is not a suitable tool for estimating the condition of cardiopulmonary fitness and health. We suggest that the metabolic fitness should be combined with the stepping fitness test in order to predict whole body fitness more accurately.

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