| 研究生: |
李桂彰 Li, Guei-Jhang |
|---|---|
| 論文名稱: |
中長距離跑者功能性動作與跑步經濟性之相關研究 Relationship between Functional Movement and Running Economy in Middle- and Long-Distance Runners |
| 指導教授: |
林麗娟
Lin, Li-Chuan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 體育健康與休閒研究所 Institute of Physical Education, Health & Leisure Studies |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 60 |
| 中文關鍵詞: | 動力鏈 、核心穩定 、核心肌耐力 、最大攝氧量 、中度訓練跑者 |
| 外文關鍵詞: | Kinetic chain, Core stability, Maximum aerobic power, Moderately-trained runner |
| 相關次數: | 點閱:109 下載:0 |
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研究背景:跑步經濟性是影響耐力跑運動表現的重要因素之一,研究證實較佳的核心穩定度與耐力跑運動表現具有高度相關性,而核心肌群的穩定性亦被認為是構成功能性動作能力的基礎,功能性動作篩檢(functional movement screen, FMS)是用來辨識人體功能性動作中影響動力鏈及傷害風險的代償動作的檢查系統,然而藉由FMS 評估出的功能性動作能力是否影響跑步運動表現仍少有相關研究,本研究將探討核心穩定度較好的跑者是否擁有較好功能性動作能力,同時表現出較好的跑步經濟性。目的:探討中度訓練跑者跑步經濟性、功能性動作篩檢結果與核心穩定度之間的相關程度,並分析影響該族群跑步經濟性之預測因子。方法:本研究完成招募31 位規律訓練之男性中長距離跑者(年齡:26.4±4.4 歲; BMI:21.6±2.1; 最大攝氧量:57.1±5.1 毫升/公斤/分鐘;訓練年資:5.0±2.8 年)進行核心穩定度、功能性動作篩檢與跑步經濟性測量,以Pearson’s 績差相關分析各變項間之相關性,並採用12 km/hr-1 跑步經濟性(RE12) 為依變項進行逐步多元迴歸分析預測影響中長跑者跑步經濟性之預測變項。結果:在RE12 階段跑者核心穩定度 (r =-.450) 和FMS 中的俯臥撐地得分 (r = -.394)皆與跑步經濟性呈負相關,顯示跑者核心穩定度較好或俯臥撐地得分較高者在該階段跑步時的能量消耗較小,進一步的逐步迴歸分析結果顯示跑者核心穩定度、BMI、俯臥撐地與訓練年資等四個項目對於預測中長距離跑者的跑步經濟性具有54%解釋力(F =7.620, p <.001)。結論:核心穩定度與跑步經濟性之間具有正相關性,但背後機制並非來自於核心穩定度能夠提升人體基本功能性動作能力而進一步改善跑步經濟性,故建議中長距離跑者以加強核心穩定度、強化軀幹肌群質量與肌力作為改善跑步經濟性之策略。
There is a strong association between running economy (RE) and endurance running performance. Great core stability would be a contribution to economical running form. Additionally, core stability is regarded as the component of functional movement. It’s unknown that whether functional movement ability would influence RE. The aim of this research is to determine relationship between core stability, functional movement, and RE. Thirty-one middle- and long- distance runners (Age = 26.4±4.4 y, BMI = 21.6±2.1, V ̇O2max =57.1±5.1 mL/min/kg, Training history = 5.0±2.8 y) performed FMS, core stability test, and a treadmill test to determine RE. Correlations were determined between FMS test, RE, and core stability using Pearson’s product correlation coefficients (p < .05). There were significant correlations between RE and core stability (r = -.450), trunk stability push-up (r = -.394). The multiple regression analysis model included core stability, BMI, Trunk Stability Push-up, and training history as significant predictors of RE (r2 = .540, F =7.620, p <.001). These results suggest core stability is a predictor of RE. However, the lack of relationship indicate that FMS have minimal capabilities for identifying movement deficiencies that could affect RE. Therefore, middle- and long- distance runners intend to improve RE could incorporated core training into training programs.
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校內:2023-08-01公開