The Effect of Arch-Support Insoles to the Running Biomechanics and Physiology on the Overweight-Adults

• Main Authors: Lu, Chia-Hung, 盧嘉宏
• Other Authors: Wu, Huey-June
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/68745299931390798496

碩士 === 中國文化大學 === 體育學系運動教練碩博士班 === 103 === Purpose: In recent years, the percentage of the overweight people increases greatly among those who participate in road race events. Thus, effect of arch-support insoles to the running biomechanics and physiology on the overweight-adults. Method: This study by 20 healthy university male students who did not have any muscular or joint injury on their legs within half a year for participants of this study. This study employed the principle of repetition and the Latin-square experimental design while conducting experiments, that means all the subjects took turns to be in the treatment group, and then in control group. Students in the treatment group wore arch-support insoles while the students in the control group wore common insoles. 10-meter running test with the rate of 160 paces per minute was employed in this two group, in which the participants stepped on the infrared ray and strength-measuring board at the last meter for motion analysis. And then the participants ran at the rate of 7.2 kph until they got exhausted for motion analysis. This test repeated three times. The data was analyzed by SPSS 22.0. T-test is employed to analyze the difference of the biomechanic indexes between the treatment group and the control group. And Pearson’s Correlation Analysis was used to analyze the correlation between the biomechanic and physiological effects. One-variable regression analysis was applied if there was significant correlation. All the values were presented as"X" ±SD , and the significant level was α = 0.05. Results: 1. Ankles’ eversion when landing and braking force show significant differences between the two groups. For the participants who wore arch-support insoles the values decrease by 26.7% and 16.7% respectively. 2. In the correlation analysis between biomechinc and physiological effects, 13 items show significant correlation and the regression line equations are also obtained in the treatment groups; however, in the control group, only one item shows significant correlation. Conclusion: wearing supporting insoles has obviously decreased in the angles of ankles’ eversion and braking force. By using 10 meters running to predict exhausted-running performance, legs’ joint angles, stability, and exhausted-running physiological test reaction attain highly correlation. Therefore, it is suggested that further investigation into some specific items from all the items showing significant correlation can be conducted to get deeper understanding of the effects. These investigations can be taken as essential references for designing the inserted arch-support insoles.