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頁籤選單縮合
題 名 | 以生理變項預估2,000公尺室內西式划船運動表現=The Prediction of 2,000-m Indoor Rowing Performance by Physiological Variables |
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作 者 | 鄭景峰; 林惠美; 李佳倫; 林正常; | 書刊名 | 大專體育學刊 |
卷 期 | 10:3 2008.09[民97.09] |
頁 次 | 頁137-149 |
分類號 | 528.9012 |
關鍵詞 | 無氧動力; 身體組成; 乳酸堆積起點; 最大攝氧量; 划船選手; Anaerobic power; Body composition; OBLA; Maximal oxygen uptake; Rower; |
語 文 | 中文(Chinese) |
中文摘要 | 目的:探討最大攝氧量(VO2 max)、身體組成、2×30秒溫蓋特測驗與2,000公尺室內划船運動表現的相關性,進而找出預估划船運動表現的最佳變項。方法:12名大學男性西式划船選手(年齡:20.2±1.0歲;身高:178.2±3.7 cm;體重:75.9±7.7 kg;VO2 max:59.4±3.5 ml.kg^(-1).Min^(-1))自願參與本實驗。在划船測功儀(Concept Ⅱ)上進行每階3分鐘,每階增加35W的非連續性遞增負荷划船運動測驗時,監測血乳酸與攝氧量。在Monark腳踏車上進行間隔4分鐘(動態恢復)的2×30秒溫蓋特測驗,以測量平均功率、功率峰值與疲勞遞減率。身體組成是透過生物電阻法來分析體重與肌肉重。結果:2,000公尺划船的平均時間為417.0±6.7秒。多元迴歸分析顯示0-500公尺與1,000-1,500公尺的平均功率佔2,000公尺室內划船成績總變異中的98.3%。將絕對VO2 max、乳酸堆積起點(OBLA)所對應的功率、身高、體重、肌肉重、2×30秒溫蓋特測驗的平均功率與功率峰值代入順向多元迴歸分析時,可獲得以下預估2,000公尺划船表現的模式:Time 2,000(2,000公尺划船成績,秒)=656.98-0.257•(OBLA 所對應的功率)-0.797•(身高)-1.444•(肌肉重)+1.231•(體重)+0.029•(第一次溫蓋特測驗的功率峰值)-0.090•(第一次溫蓋特測驗的平均功率)(r^2=0.911, SE=49.74, p<.05)。結論:本研究結果顯示無氧動力是預測2,000公尺划船成績的重要變項,因此,西式划船選手應將訓練時間投注於加強無氧動力之改善。 |
英文摘要 | This study investigated the relationships among maximal oxygen uptake (VO2 max), body composition, 2×30-s Wingate test variables and 2,000-m time-trial on a Concept Ⅱ rowing ergometer, and then established the best variables to predict the rowing performance. Twelve college male rowers (age, 20.2±1.0 yrs; height, 178.2±3.7 cm; weight, 75.9±7.7 kg; VO2 max, 59.4±3.5 ml.kg^(-1)•Min^(-1)) volunteered to participate in this study. Blood lactate and oxygen uptake were measured during a discontinuous graded exercise test on a rowing ergometer incremented by 35 W for each 3 min stage. The 2×30-s Wingate test, rest interval of 4 min active recovery was performed on a Monark bicycle ergometer to determine the mean power, peak power and fatigue percentage. Body composition was measured by the bio-impedance analysis to analyze the body weight and muscle mass. It was found that the average time of the 2,000-m time-trial rowing was 417.0±6.7 sec. The multiple-regression analysis indicated that 98.3% of the variation in 2,000-m indoor rowing performance time was predicted by the average powers of 0-500 m and 1,000-1,500 m. Submitting absolute VO2 max, power at the onset of blood lactate accumulation (OBLA), height, weight, muscle mass, mean and peak powers of the 2×30-s Wingate test to a forward multiple regression analysis produced the following model to predict 2,000-m rowing performance: Time 2,000 (time of 2,000 m rowing, sec)=656.98-0.257•(power at OBLA)-0.797•(height)-1.444•(muscle mass)+1.231•(body weight) +0.029•(peak power of the 1st 30-s Wingate test)-0.090•(mean power of the 1st 30-s Wingate test), (r^2=0.911, standard error=49.74, p<.05). These results indicated that the anaerobic power was an important parameter to predict the 2,000-m indoor rowing performance. Thus, rowers should devote time to the improvement of anaerobic power. |
本系統中英文摘要資訊取自各篇刊載內容。