Changes in performances/characteristics of French female runners over the last 12 years

Lerebourg, Lucie; Coquart, Jérémy

doi:10.1080/15438627.2020.1725009

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…1 using the nomogram of Mercier et al 12 only. Moreover, as noted in the study by Lerebourg and Coquart 26 , women's performances are often less studied than men’s and a deeper understanding of their performances might be of great interest for athletes and coaches.…”

Section: Discussionmentioning

confidence: 99%

“…Despite this potential limitation, however, we found that the predicted performances using all three nomograms were valid and accurate. It is very interesting to note that these nomograms and more particularly the nomogram of Mercier et al [12], which was designed in the 1980s, are still to this day valid tools for predicting actual performances with an awareness of the evolution of these performances [26].…”

Section: Discussionmentioning

confidence: 99%

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Prediction of Distance Running Performances of Female Runners Using Nomograms

et al. 2021

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This study examined the validity, precision and accuracy of the predictions of distance running performances in female runners from three nomograms. Official rankings of French women for the 3000-m, 5000-m, and 10,000-m track-running events from 2005 to 2019 were examined. Only female runners who performed in the three distance events within the same year were included (n=158). Each performance over any distance was predicted using the three nomograms from the two other performances. The 3000-m, 5000-m and 10,000-m performances were 11min17 s± 1min20 s, 19min29 s ± 2min20 s, 41min18 s ± 5min7 s, respectively. No difference was found between the actual and predicted running performances regardless of the nomogram (p>0.05). All predicted running performances were significantly correlated with the actual ones, with a very high correlation coefficient (p<0.001; r>0.90). Bias and 95% limits of agreement were acceptable because, whatever the nomogram, they were less than or equal to -0.0±6.2% on the 3000-m, 0.0±3.7% on the 5000-m, and 0.1±9.3% on the 10,000-m. The study confirms the validity of the three nomograms to predict track-running performance with a high level of accuracy. The predictions from these nomograms are similar and may be used in training programs and competitions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Prediction of Distance Running Performances of Female Runners Using Nomograms

et al. 2021

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“…Further studies, especially for women, are needed to test whether the predictions vary according to the performance level (e. g., if the predictions are better when the performance level is high). With the exception of the study of Coquart et al [1] using the nomogram of Mercier et al [24], women's performances have not been much studied, as noted by Lerebourg and Coquart [39], and a deeper understanding of their performances might be of great interest for both the athletes and coaches. As pacing strategies may differ between the sexes during races [40], coaches and federations need to understand such sex-related data in order to best prepare their athletes for major sporting events (e. g., National or Continental Championships, Olympic Games).…”

Section: Discussionmentioning

confidence: 99%

“…Despite this potential limitation, we found that all three approaches were valid for predicting the performances. It is very interesting to note particularly that the nomogram of Mercier et al [24], which was designed in the 1980s, is still a valid and accurate tool for predicting actual performances [39].…”

Section: Discussionmentioning

confidence: 99%

Predictions of the Distance Running Performances of Female Runners Using Different Tools

et al. 2022

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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 for the 3000-m, 5000-m, and 10,000-m track-running events from 2005 to 2019 were examined. 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. The study confirms the validity of the three methods to predict track-running performance and suggests that the most accurate and precise model was the nomogram followed by the power law, with the DTLM being the least accurate.

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