van Someren Ken A, Howatson Glyn
English Institute of Sport, St Marys High Performance Centre, Twickenham, UK.
Int J Sports Physiol Perform. 2008 Jun;3(2):207-18. doi: 10.1123/ijspp.3.2.207.
To determine the relative importance of anthropometric and physiological attributes for performance in the 1000-m, 500-m, and 200-m flatwater kayaking events.
Eighteen competitive male kayakers completed performance trials over the 3 distances and a battery of anthropometric and physiological tests.
Performance times (mean +/- SD) for 1000 m, 500 m, and 200 m were 262.56 +/- 36.44 s, 122.10 +/- 5.74 s, and 41.59 +/- 2.12 s, respectively. Performance in all 3 events was correlated with a number of physiological parameters; in addition, 500-m and 200-m performance was correlated with upper body dimensions. 1000-m time was predicted by power output at lactate turnpoint expressed as a percentage of maximal aerobic power, work done in a 30-s ergometry test and work done in a 2-min ergometry test (adjusted R2 = 0.71, SEE = 5.72 s); 500-m time was predicted by work done and the fatigue index in a 30-s ergometry test, work done in a 2-min ergometry test, peak isometric and isokinetic function (adjusted R2 = 0.79, SEE = 2.49 s); 200-m time was predicted by chest circumference, humeral breadth, peak power, work done, and the fatigue index in a 30-s ergometry test (adjusted R2 = 0.71, SEE = 0.71 s).
A number of physiological variables are correlated with performance in all events. 1000-m, 500-m, and 200-m times were predicted with a standard error of only 2.2%, 2.0%, and 1.7%, respectively.
确定人体测量学和生理学属性对于1000米、500米和200米静水皮划艇项目成绩的相对重要性。
18名男性竞技皮划艇运动员完成了3个距离的成绩测试以及一系列人体测量学和生理学测试。
1000米、500米和200米的成绩时间(平均值±标准差)分别为262.56±36.44秒、122.10±5.74秒和41.59±2.12秒。所有3个项目的成绩都与一些生理参数相关;此外,500米和200米的成绩与上身尺寸相关。1000米时间可通过乳酸拐点时的功率输出(以最大有氧功率的百分比表示)、30秒测力计测试中的做功以及2分钟测力计测试中的做功来预测(调整后R2 = 0.71,标准误= 5.72秒);500米时间可通过30秒测力计测试中的做功和疲劳指数、2分钟测力计测试中的做功、峰值等长和等速功能来预测(调整后R2 = 0.79,标准误= 2.49秒);200米时间可通过胸围、肱骨宽度、峰值功率、做功以及30秒测力计测试中的疲劳指数来预测(调整后R2 = 0.71,标准误= 0.71秒)。
一些生理变量与所有项目的成绩相关。1000米、500米和200米的时间预测标准误分别仅为2.2%、2.0%和1.7%。