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最大耗氧量預測公式對體適能好壞的運動員預測力

本研究的目的在於驗證最大耗氧量迴歸公式對體適能好壞的最大耗氧量預測準確性。50位大學男性運動員,經12分鐘跑走測驗,取最好的10位為體適能好組,最差之10名為體適能差組。參加Bruce電動跑步機最大耗氧量測驗,經二因子變異數 (Two-way ANOVA)分析體能好壞與三種迴歸公式預測準確性,紐曼-科爾法進行事後比較,考驗其差異性,顯著水準設在α小於.05。研究結果如下:一、黄榮松(1996b)最大耗氧量迴歸公式對運動員體適能好壞的預測力分別為57.76%、44.89%。顯示黄榮松(1996b)所發展的迴歸預測公式對體適能好的運動員最大耗氧量預測力較高。二、體能好的運動員最大耗氧量預測準確性比較,黃榮松(1996b),林偉立等人(1984)與實際測驗出來的結果相近,且兩個公式間沒有差異:而 Cooper(1968)迴歸公式有顯著低估(p<.05)現象。三、體能差的運動員最大耗氧量預測準確性比較,黃榮松(1996b)最好,但林偉立等人(1984)與Cooper(1968)迴歸公式有顯著低估 (p<.05)現象。因此,本研究建議要使用12分鐘跑走測驗預測運動員最大耗氧量時,應採用黄榮松(1996b)的迴歸公式,特別是體適能好的運動員的測驗更好。 The purposes of the study was to test the accuracy of athletic VO2max prediction in the high and the low level of physical fitness athletes from different equations. Fifty college athletes volunteer to participate the 12-min run, then pick the best 10 as the high physical fitness group(HG), while the last 10 as the low level of physical fitness group (LG). Both two groups participated the Bruce treadmill VO2max test (BTVT). Two-way ANOVA was used to test the prediction accuracy from the different VO2max predicted equations in HG and LG. Newman-Kuel posthoc comparison was used to test the different prediction accuracy between two equations. α level was set at.05.The finding were as follows: 1. Hwang's (1996b) equation can be predicted 57.76%, 44.89% (P<.05) athletic VO2max in HG and LG, respectively. This indicating the Hwang's (1996b) equation is better predication in high level physical fitness athletes than that of low level physical fitness athletes. 2. No significant different in predicted HG VO2max was found between the Hwang's (1996b) and the Lin et al. (1984); however, a significant underestimation was found in the Cooper's (1968). 3. Hwang's (1996b) equation can be accurate predicted LG, however, Lin et al. (1984) and Cooper's equations are significant underestimation of LG VO2max. Therefore, we recommended to use Hwang's (1996b) equation to predict athletic VO2max, especially in high level of physical fitness athletes if using the 12-minute run as a test method.
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