title: Predictors of 1000-m outrigger canoeing performance.
abstract: This study examined the relationships between body composition, peak oxygen consumption and 1000-m time trial performance of female outrigger canoeists.
  
  
  METHODS
  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.
authors.affiliation: Institute of Sport and Exercise Science, James Cook University, Townsville, Australia. rebecca.kerr@jcu.edu.au
authors.forename: R M
authors.initials: RM
authors.lastname: Kerr
authors.forename: W
authors.initials: W
authors.lastname: Spinks
authors.forename: A S
authors.initials: AS
authors.lastname: Leicht
authors.forename: W
authors.initials: W
authors.lastname: Sinclair
mesh_terms: D000328:Adult; D054874:Athletic Performance; D015444:Exercise / Q000502:physiology*; D005080:Exercise Test / Q000379:methods*; D005260:Female; D006801:Humans; D010101:Oxygen Consumption / Q000502:physiology; D010809:Physical Fitness / Q000502:physiology*; D012123:Pulmonary Ventilation / Q000502:physiology; D011793:Queensland; D012044:Regression Analysis; D012767:Ships; D013177:Sports / Q000502:physiology*