Predictions of the Distance Running Performances of Female Runners Using Different Tools
This study examined the validity and compared the precision and accuracy of a
distance-time linear model (DTLM), a power law and a nomogram to predict the
distance running performances of female runners. Official rankings of French
women (“senior” category: between 23 and 39 years old) for the
3000-m, 5000-m, and 10,000-m track-running events from 2005 to 2019 were
examined. Performances of runners who competed in the three distances during the
same year were noted (n=158). Mean values and standard deviation (SD) of
actual performances were 11.28±1.33, 19.49±2.34 and
41.03±5.12 for the 3000-m, 5000-m, and 10,000-m respectively. Each
performance was predicted from two other performances. Between the actual and
predicted performances, only DTLM showed a difference (p<0.05).
The magnitude of the differences in these predicted performances was small if
not trivial. All predicted performances were significantly correlated with the
actual ones, with a very high correlation coefficient (p<0.001;
r>0.90), except for DTLM in the 3000-m, which showed a high
correlation coefficient (p<0.001; r>0.895). Bias
and 95% limits of agreement were acceptable because, whatever the
method, they were≤–3.7±10.8% on the 3000-m,
1.4±4.3% on the 5000-m, and -2.5±7.4% on the
10,000-m. T...
Source: International Journal of Sports Medicine - Category: Sports Medicine Authors: Lerebourg, Lucie Guignard, Brice L ’Hermette, Maxime Held, Eric Coquart, J érémy Bernard Tags: Training and Testing Source Type: research
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