支撐型鞋墊對體重過重者跑步生物力學與生理反應之影響

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Title:	支撐型鞋墊對體重過重者跑步生物力學與生理反應之影響 The Effect of Arch-Support Insoles to the Running Biomechanics and Physiology on the Overweight-Adults
Authors:	盧嘉宏
Contributors:	體育學系運動教練碩博士班
Keywords:	下肢穩定度損傷足部輔具鞋墊設計 legs’ stability injury feet’s assistance devices insoles’ designing
Date:	2015-06
Issue Date:	2015-07-09 14:24:29 (UTC+8)
Abstract:	近年來體重過重者參加路跑活動的比例大幅增加，因此本研究目的即在探討支撐型鞋墊對體重過重者跑步生物力學與生理反應之影響。方法：本研究以20 名健康男性大學生，半年內無下肢肌肉關節傷害者為研究對象，並使用平衡次序與重複量數原則，每位研究對象都必須接受實驗組與控制組之介入。實驗組為穿著支撐型鞋墊，控制組則穿著無足弓支撐鞋墊，兩組均分別以 160 bpm 步頻進行 3 次 10 公尺的紅外線與測力板動作分析跑步測驗，接著於跑步機上以 7.2 kph 的速度跑至力竭，所得數據以 SPSS 22.0 統計軟體，以 t-test 統計方法分析，考驗一般鞋墊與支撐型鞋墊在下肢生物力學指標上之差異情形；力學與生理相關以皮爾森相關 (Pearson’s) 進行分析，若達顯著性相關，再以單元線性回歸分析。所有數值均以平均數 ± 標準差表示，顯著水準訂為 α = 0.05。結果顯示：穿著支撐型鞋墊在著地時的踝關節外翻程度顯著小於控制組，並且在向後制動力也有顯著性的降低，分別降低 26. 7 % 和 16.7 %；下肢運動生物力學與力竭跑步生理學之相關結果顯示，實驗組共有 13 組項目達到顯著性的相關，並取得回歸公式，控制組只有 1 組達到顯著性相關。結論：穿著支撐型鞋墊時踝關節外翻角度與制動力有顯著性的減小，下肢關節角度、穩定度與力竭跑生理反應達到顯著性相關，並透過 10 公尺跑步預測力竭跑步運動表現。建議在設計支撐型鞋墊時可在達到顯著性相關等組別上個別作深入研究，探討影響情形，並作為未來設計發展支撐型鞋墊的參考。 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.
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