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

10.5297/ser.200809_10(3).0010

鄭景峰(Ching-Feng Cheng)；林惠美(Hui-Mei Lin)；李佳倫(Chia-Lun Lee)；林正常(Jung-Charng Lin)

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

大專體育學刊

10卷3期（2008 / 09 / 30）

137 - 149

繁體中文;英文

目的：探討最大攝氧量（VO_2max）、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±3.7cm；體重：75.9±7.7kg；VO_2max：59.4±3.5ml．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VO_2max、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<0.5）。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。

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.

1. 吳慧君、林正常(2003)。不同全力運動模式和運動專項對最大累積缺氧量之影響。大專體育學刊，5(1)，249-257。
   連結：
2. Beaver, W. L.,Wasserman, K.,Whipp, B. J.(1985).Improved detection of lactate threshold during exercise using a log-log transformation.Journal of Applied Physiology,59(6),1936-1940.
3. Beneke, R.,Leithäuser, R. M.,Hütler, M.(2001).Dependence of the maximal lactate steady state on the motor pattern of exercise.British Journal of Sports Medicine,35,192-196.
4. Bogdanis, G. C.,Nevill, M. E.,Boobis, L. H.,Lakomy, H. K. A.,Nevill, A. M.(1995).Recovery of power output and muscle metabolites following 30s of maximal sprint cycling in man.Journal of Physiology,482,467-480.
5. Cosgrove, M. J.,Wilson, J.,Watt, D.,Grant, S. F.(1999).The relationship between selected physiological variables of rowers and rowing performance as determined by 2,000m ergometer test.Journal of Sports Science,17,845-852.
6. Hagerman, F. C.(1984).Applied physiology of rowing.Sports Medicine,1,303-326.
7. Hahn, A.(1990).Identification and selection of talent in Australian rowing.Excel,6,5-11.
8. Ingham, S. A.,Whyte, G. P.,Jones, K.,Nevill, A. M.(2002).Determinants of 2,000m rowing ergometer performance in elite rowers.European Journal of Applied Physiology and Occupational Physiology,88,243-246.
9. Jensen, R. L.,Freedson, P. S.,Hamill, J.(1996).The prediction of power and efficiency during near-maximal rowing.European Journal of Applied Physiology and Occupational Physiology,73(1-2),98-104.
10. Mäestu, J.,Jürimäe, J.,Jürimäe, T.(2005).Monitoring of performance and training in rowing.Sports Medicine,35(7),597-617.
11. Medbø, J. I.(1996).Is the maximal accumulated oxygen deficit an adequate measure of the anaerobic capacity?.Canadian Journal of Applied Physiology,21(5),370-383.
12. Peltonen, J.,Rusko, H.(1993).Interrelations between power, force production and energy metabolism in maximal leg work using a modified rowing ergometer.Journal of Sports Sciences,11,233-240.
13. Pripstein, L. P.,Rhodes, E. C.,McKenzie, D. C.,Coutts, K. D.(1999).Aerobic and anaerobic energy during a 2-km race simulation in female rowers.European Journal of Applied Physiology and Occupational Physiology,79,491-494.
14. Riechman, S. E.,Zoeller, R. F.,Balasekaran, G.,Goss, F. L.,Robertson, R. J.(2002).Prediction of 2,000 m indoor rowing performance using a 30 s sprint and maximal oxygen uptake.Journal of Sports Sciences,20(9),681-687.
15. Russell, A. P.,Le Rossignol, P. F.,Sparrow, W. A.(1998).Prediction of elite schoolboy 2,000-m rowing ergometer performance from metabolic, anthropometric and strength variables.Journal of Sports Sciences,16,749-754.
16. Tarnopolsky, M. A.,MacLennan, D. P.(2000).Creatine monohydrate supplementation enhances high-intensity exercise performance in males and females.International Journal of Sport Nutrition and Exercise Metabolism,10(4),452-463.
17. Yoshiga, C. C.,Higuchi, M.(2003).Rowing performance of female and male rowers.Scandinavian Journal of Medicine and Science in Sports,13,317-321.

1. 林信甫、周峻忠、王順正、王鈞逸(2012)。臨界負荷指標於女子划船運動表現之預測。大專體育學刊，14(3)，378-386。