Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach
Abstract
Previous studies have investigated the determinants of indoor rowing using correlations and linear regression. However, the power demands of ergometer rowing are proportional to the cube of the flywheel's (and boat's) speed. A rower's speed, therefore, should be proportional to the cube root (0.33) of power expended. Hence, the purpose of the present study was to explore the relationship between 2000 m indoor rowing speed and various measures of power of 76 elite rowers using proportional, curvilinear allometric models. The best single predictor of 2000 m rowing ergometer performance was power at V̇O2max ()0.28, that explained R2=95.3% in rowing speed. The model realistically describes the greater increment in power required to improve a rower's performance by the same amount at higher speeds compared with that at slower speeds. Furthermore, the fitted exponent, 0.28 (95% confidence interval 0.226–0.334) encompasses 0.33, supporting the assumption that rowing speed is proportional to the cube root of power expended. Despite an R2=95.3%, the initial model was unable to explain “sex” and “weight-class” differences in rowing performances. By incorporating anaerobic as well as aerobic determinants, the resulting curvilinear allometric model was common to all rowers, irrespective of sex and weight class.Citation
Scandinavian Journal of Medicine & Science in Sports, 21 (1):73-78Publisher
Wiley-BlackwellJournal
Scandinavian Journal of Medicine & Science in SportsAdditional Links
http://doi.wiley.com/10.1111/j.1600-0838.2009.01025.xType
Journal articleLanguage
enISSN
09057188ae974a485f413a2113503eed53cd6c53
10.1111/j.1600-0838.2009.01025.x