Literature DB >> 15083364

Scaling or normalising maximum oxygen uptake to predict 1-mile run time in boys.

Alan Nevill1, Thomas Rowland, Donna Goff, Leslie Martel, Lisa Ferrone.   

Abstract

There is still considerable debate and some confusion as to the most appropriate method of scaling or normalizing maximum oxygen uptake (VO2max) for differences in body mass (m) in both adults and children. Previous studies on adult populations have demonstrated that although the traditional ratio standard VO2max (ml kg(-1) min(-1)) fails to render VO2max independent of body mass, the ratio standard is still the best predictor of running performance. However, no such evidence exists in children. Hence, the purpose of the present study was to investigate whether the ratio standard is still the most appropriate method of normalising VO2max to predict 1-mile run speed in a group of 12-year-old children (n=36). Using a power function model and log-linear regression, the best predictor of 1-mile run speed was given by: speed (m s(-1))=55.1 VO2max(0.986) m(-0.96). With both the VO2max and body mass exponents being close to unity but with opposite signs, the model suggest the best predictor of 1-mile run speed is almost exactly the traditional ratio standard recorded in the units (ml kg(-1) min(-1)). Clearly, reporting the traditional ratio standard VO2max, recorded in the units (ml kg(-1) min(-1)), still has an important place in publishing the results of studies investigating cardiovascular fitness of both children and adults.

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Year:  2004        PMID: 15083364     DOI: 10.1007/s00421-004-1071-z

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  11 in total

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  7 in total

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Authors:  A M Nevill; S A Jobson; G S Palmer; T S Olds
Journal:  Eur J Appl Physiol       Date:  2005-05-20       Impact factor: 3.078

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Authors:  Thomas Rowland
Journal:  Eur J Appl Physiol       Date:  2007-05-03       Impact factor: 3.078

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Journal:  Sports Med       Date:  2016-10       Impact factor: 11.136

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Authors:  Lorenzo Lolli; Alan M Batterham; Kathryn L Weston; Greg Atkinson
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Journal:  J Hum Kinet       Date:  2013-10-08       Impact factor: 2.193

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