2.50
Hdl Handle:
http://hdl.handle.net/2436/139669
Title:
Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach
Authors:
Nevill, Alan M.; Allen, S. V.; Ingham, S. A.
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):73-78
Publisher:
Wiley-Blackwell
Journal:
Scandinavian Journal of Medicine & Science in Sports
Issue Date:
2011
URI:
http://hdl.handle.net/2436/139669
DOI:
10.1111/j.1600-0838.2009.01025.x
Additional Links:
http://doi.wiley.com/10.1111/j.1600-0838.2009.01025.x
Type:
Article
Language:
en
ISSN:
09057188
Appears in Collections:
Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
dc.contributor.authorNevill, Alan M.en
dc.contributor.authorAllen, S. V.en
dc.contributor.authorIngham, S. A.en
dc.date.accessioned2011-08-12T15:21:35Z-
dc.date.available2011-08-12T15:21:35Z-
dc.date.issued2011-
dc.identifier.citationScandinavian Journal of Medicine & Science in Sports, 21 (1):73-78en
dc.identifier.issn09057188-
dc.identifier.doi10.1111/j.1600-0838.2009.01025.x-
dc.identifier.urihttp://hdl.handle.net/2436/139669-
dc.description.abstractPrevious 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.en
dc.language.isoenen
dc.publisherWiley-Blackwellen
dc.relation.urlhttp://doi.wiley.com/10.1111/j.1600-0838.2009.01025.xen
dc.subjectRowing ergometer performanceen
dc.subjectPower at VO2max (WVO2max)en
dc.subjectAllometric modelsen
dc.subjectCurvilinear power functionen
dc.titleModelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approachen
dc.typeArticleen
dc.identifier.journalScandinavian Journal of Medicine & Science in Sportsen
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.