Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach.
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)...
| Publicado en: | Scandinavian Journal of Medicine & Science in Sports (John Wiley & Sons, Inc.) Vol. 21; no. 1; pp. 73 - 79 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
John Wiley & Sons, Inc.
Feb2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=57291896&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 57291896 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16000838 NRNW jtl: Scandinavian Journal of Medicine & Science in Sports (John Wiley & Sons, Inc.) issn: 16000838 maglogo: N pubinfo: dt: Feb2011 vid: 21 iid: 1 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 57291896 104981026 10.1111/j.1600-0838.2009.01025.x 57291896 ppf: 73 ppct: 6 formats: tig: atl: Modelling the determinants of 2000 m rowing ergometer performance: a proportional, curvilinear allometric approach. aug: au: Nevill, A. M. Allen, S. V. Ingham, S. A. affil: Department of Sports Studies, University of Wolverhampton, Walsall, UK sug: subj: Rowing Ergometry Physical Performance Human Linear Regression Allometric Scaling Pulmonary Gas Exchange Oxygen Consumption Prospective Studies Energy Metabolism Analysis of Covariance Body Weight Sports Science ab: 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 V̇O (), that explained R=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 R=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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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