2017
DOI: 10.1519/jsc.0000000000001542
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Modeling of Running Performances in Humans: Comparison of Power Laws and Critical Speed

Abstract: Zinoubi, B, Vandewalle, H, and Driss, T. Modeling of running performances in humans: comparison of power laws and critical speed. J Strength Cond Res 31(7): 1859-1867, 2017-The concepts of power law and critical speed (SCrit) have been applied to the analysis of individual running performances. We have analyzed the results of 2 exceptional runners (Nurmi and Gebrselassie) and 11 physical education students (PESs) who performed 3 exhausting running exercises. Power laws can accurately describe the relationships… Show more

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Cited by 16 publications
(31 citation statements)
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“…However, in a previous study [ 61 ], some results were assumed to be the effect of submaximal performances on S Crit1 model whose sensitivity was discussed in a review on the critical power concept [ 16 ]. Similarly, the values of parameter k that is an index of maximal running speed were overestimated in several physical education students in a previous study [ 55 ], which was probably the effect of submaximal running performances. Indeed, in 4 physical education students, parameters k were largely overestimated since they were higher than 20 m.s −1 , whereas the maximal running speed is about 12.2 m.s −1 for the best world sprinter U. Bolt [ 62 ].…”
Section: Discussionmentioning
confidence: 89%
See 1 more Smart Citation
“…However, in a previous study [ 61 ], some results were assumed to be the effect of submaximal performances on S Crit1 model whose sensitivity was discussed in a review on the critical power concept [ 16 ]. Similarly, the values of parameter k that is an index of maximal running speed were overestimated in several physical education students in a previous study [ 55 ], which was probably the effect of submaximal running performances. Indeed, in 4 physical education students, parameters k were largely overestimated since they were higher than 20 m.s −1 , whereas the maximal running speed is about 12.2 m.s −1 for the best world sprinter U. Bolt [ 62 ].…”
Section: Discussionmentioning
confidence: 89%
“…The curvature of the D lim -t lim equation depends on exponent g. In the elite endurance runners the D lim -t lim equation is almost perfectly linear ( Figure 2 ) whereas this equation is more curved in runners who are not endurance athletes. For example, exponent g was close to 1 in elite endurance runners and lower than 0.9 in physical education students [ 55 ]. It can be demonstrated that exponent g is equal to the ratio of the slope of the D lim -t lim equation to MAS when t lim is equal to t MAS .…”
Section: Discussionmentioning
confidence: 99%
“…The maximum value across each of the moving average window durations was then extracted and converted to units of metres per minute (m . min −1 ) for further statistical analysis (Delaney et al, 2018;Zinoubi et al, 2017).…”
Section: Game-speed Modellingmentioning
confidence: 99%
“…Therefore, the effects of submaximal performance on S Crit and P Crit in the present study have been compared between a low-endurance athlete and a high-endurance athlete, i.e., athletes with low and high endurance indices (for example, exponent g or S Crit /MAS or P Crit /MAP). The values of exponent g were about 0.95 in the best elite endurance runners [15,31] as Gebrselassie whose ratio S Crit /MAS was equal to 0.945 (MAS corresponded to the maximal running speed during 7 min). In the low-endurance runners whose ratios S Crit /MAS were equal to 0.764 ± 0.078, exponent g was about 0.80 [31].…”
Section: Introductionmentioning
confidence: 99%
“…The values of exponent g were about 0.95 in the best elite endurance runners [15,31] as Gebrselassie whose ratio S Crit /MAS was equal to 0.945 (MAS corresponded to the maximal running speed during 7 min). In the low-endurance runners whose ratios S Crit /MAS were equal to 0.764 ± 0.078, exponent g was about 0.80 [31].…”
Section: Introductionmentioning
confidence: 99%