van Someren, Ken and Howatson, Glyn (2008) Prediction of flatwater kayaking performance. International Journal of Sports Physiology and Performance, 3 (2). pp. 207-18. ISSN 1555-0265
|
PDF (Article)
flatwater_kayaking.pdf - Published Version Download (102kB) | Preview |
Abstract
Purpose: To determine the relative importance of anthropometric and physiological attributes for performance in the 1000-m, 500-m, and 200-m flatwater kayaking events. Methods: Eighteen competitive male kayakers completed performance trials over the 3 distances and a battery of anthropometric and physiological tests. Results: 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). Conclusions: 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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | anthropometry, athletic performance physiology, forecasting, physical exertion |
Subjects: | C600 Sports Science |
Department: | Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation |
Depositing User: | Ellen Cole |
Date Deposited: | 19 Dec 2011 12:30 |
Last Modified: | 17 Dec 2023 13:47 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/4278 |
Downloads
Downloads per month over past year