Predictors of 1000-m outrigger canoeing performance
Kerr, R.M, Spinks, W., Leicht, A.S., and Sinclair, W. (2008) Predictors of 1000-m outrigger canoeing performance. International Journal of Sports Medicine, 29 (8). pp. 675-678.
PDF (Published Version)
Restricted to Repository staff only
This study examined the relationships between body composition, peak oxygen consumption and 1000-m time trial performance of female outrigger canoeists.
Procedures: Female outrigger canoeists (n = 17) completed anthropometric profiling and a 1000-m outrigger ergometer time trial, during which expired air was measured continuously and analysed at 15-s intervals for determination of peak oxygen consumption. Heart rate, stroke rate and power output were also recorded at 15-s intervals. Blood lactate was measured immediately and at 3-, 5- and 7-min post-exercise. Mean power output, peak power output and progressive split times were highly correlated (r > 0.80) to 1000-m performance. Arm girths, humerus breadth, mesomorphy, peak oxygen consumption, ventilation, mean heart rate and peak lactate were moderately correlated (r > 0.50) to 1000-m performance. Stepwise multiple regression analysis verified that mean power output and to a lesser extent flexed arm girth, humerus breadth, waist girth and sitting height can predict 1000-m performance. Enhanced 1000-m performance of female outrigger canoeists appears to be achieved through a combination of greater power production and maintenance, a muscular stature and to a lesser extent, a higher aerobic capacity. These characteristics should be considered when selecting crews.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||peak oxygen consumption; anthropometry; power output; ergometry; female|
|Date Deposited:||23 Mar 2010 02:05|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified @ 100%|
|SEO Codes:||95 CULTURAL UNDERSTANDING > 9501 Arts and Leisure > 950102 Organised Sports @ 100%|
|Citation Count from Web of Science||