Determinants of 800-m and 1500-m Running Performance Using Allometric Models

Ingham, Stephen A. and Whyte, G. and Pedlar, Charles and Bailey, David M. and Dunman, Natalie and Nevill, Alan M. (2008) Determinants of 800-m and 1500-m Running Performance Using Allometric Models. Medicine & Science in Sports & Exercise, 40 (2). pp. 345-350. ISSN 0195-9131

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Official URL: http://dx.doi.org/10.1249/mss.0b013e31815a83dc

Abstract

Purpose: To identify the optimal aerobic determinants of elite, middle-distance running (MDR) performance, using proportional allometric models. Methods: Sixty-two national and international male and female 800-m and 1500-m runners undertook an incremental exercise test to volitional exhaustion. Mean submaximal running economy (ECON), speed at lactate threshold (speedLT), maximum oxygen uptake (V˙O2max), and speed associated with V˙O2max (speedV˙O2max) were paired with best performance times recorded within 30 d. The data were analyzed using a proportional power-function ANCOVA model. Results: The analysis identified significant differences in running speeds with main effects for sex and distance, with V˙O2max and ECON as the covariate predictors (P < 0.0001). The results suggest a proportional curvilinear association between running speed and the ratio (V˙O2max·ECON-0.71)0.35 explaining 95.9% of the variance in performance. The model was cross-validated with a further group of highly trained MDR, demonstrating strong agreement (95% limits, 0.05 ± 0.29 m·s-1) between predicted and actual performance speeds (R 2 = 93.6%). The model indicates that for a male 1500-m runner with a V˙O2max of 3.81 L·min-1 and ECON of 15 L·km-1 to improve from 250 to 240 s, it would require a change in V˙O2max from 3.81 to 4.28 L·min-1, an increase of Δ0.47 L·min-1. However, improving by the same margin of 10 s from 225 to 215 s would require a much greater increase in V˙O2max, from 5.14 to 5.85 L·min-1 an increase of Δ0.71 L·min-1 (where ECON remains constant). Conclusion: A proportional curvilinear ratio of V˙O2max divided by ECON explains 95.9% of the variance in MDR performance.

Item Type: Journal Article
Uncontrolled Keywords: REF2014
Subjects: 600 Technology > 612 Human physiology
700 The arts; fine & decorative arts; recreation > 796 Athletic & outdoor sports & games
School/Department: School of Sport, Health and Applied Science
Depositing User: Jonathan Lucas
Date Deposited: 15 May 2012 09:48
Last Modified: 15 May 2012 09:48
URI: http://research.stmarys.ac.uk/id/eprint/106

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