Valid and accurate simple equation to ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
Valid and accurate simple equation to predict 3,000-m steeplechase performance.
Auteur(s) :
Barbry, Alexis [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 [URePSSS]
Lerebourg, L. [Auteur]
Université de Rouen Normandie [UNIROUEN]
Racil, G. [Auteur]
Université de la Manouba [Tunisie] [UMA]
Jlid, M. C. [Auteur]
Université de la Manouba [Tunisie] [UMA]
Coquart, Jeremy [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 [URePSSS]
Lerebourg, L. [Auteur]
Université de Rouen Normandie [UNIROUEN]
Racil, G. [Auteur]
Université de la Manouba [Tunisie] [UMA]
Jlid, M. C. [Auteur]
Université de la Manouba [Tunisie] [UMA]
Coquart, Jeremy [Auteur]

Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369
Titre de la revue :
Frontiers in Sports and Active Living
Nom court de la revue :
Front Sports Act Living
Numéro :
6
Pagination :
1402792
Éditeur :
Frontiers
Date de publication :
2024-08-18
ISSN :
2624-9367
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Introduction: Predict running performances is very important for athletes and trainers. Sport researchers have therefore developed certain tools to predict running performances, but only in non-obstacle races. This study ...
Lire la suite >Introduction: Predict running performances is very important for athletes and trainers. Sport researchers have therefore developed certain tools to predict running performances, but only in non-obstacle races. This study aimed to develop and test the validity and accuracy of an equation for predicting 3,000-m steeplechase performance (PerfSteeple). Methods: The official rankings of French runners for the 3,000-m track-running (Perf3000) and 3,000-m steeplechase events were examined. Age, height and body mass were collected. From 146 included athletes, two groups were randomly composed: one comprising 80% of the sample (n = 117) to develop a simple equation to predict PerfSteeple (i.e., development group) and the other comprising the remaining 20% (n = 29) to test the validity and accuracy of the developed prediction equation (i.e., cross-validation group). Results: The simple prediction equation included Perf3000 and age: PerfSteeple=−57,165+1,147×Perf3000+0,955×age . No significant difference was noted between the actual and predicted performances. Predicted performances were significantly correlated with the actual ones, with a very high correlation coefficient (p < 0.001; r = 0.929). Bias and 95% limits of agreement were −5 ± 24 s, i.e., −0.8 ± 7.6%. In 95 of 100 new predictions, the difference between actual and predicted performance would be less or equal to—5 ± 24 s. Discussion: The study confirms the validity and accuracy of the equation for predicting PerfSteeple. Predictions using this simple equation may be used in training and competitions for athletes and coaches. PerfSteeple = −57,165 + 1,147 X Perf3000 + 0,955 X age.Lire moins >
Lire la suite >Introduction: Predict running performances is very important for athletes and trainers. Sport researchers have therefore developed certain tools to predict running performances, but only in non-obstacle races. This study aimed to develop and test the validity and accuracy of an equation for predicting 3,000-m steeplechase performance (PerfSteeple). Methods: The official rankings of French runners for the 3,000-m track-running (Perf3000) and 3,000-m steeplechase events were examined. Age, height and body mass were collected. From 146 included athletes, two groups were randomly composed: one comprising 80% of the sample (n = 117) to develop a simple equation to predict PerfSteeple (i.e., development group) and the other comprising the remaining 20% (n = 29) to test the validity and accuracy of the developed prediction equation (i.e., cross-validation group). Results: The simple prediction equation included Perf3000 and age: PerfSteeple=−57,165+1,147×Perf3000+0,955×age . No significant difference was noted between the actual and predicted performances. Predicted performances were significantly correlated with the actual ones, with a very high correlation coefficient (p < 0.001; r = 0.929). Bias and 95% limits of agreement were −5 ± 24 s, i.e., −0.8 ± 7.6%. In 95 of 100 new predictions, the difference between actual and predicted performance would be less or equal to—5 ± 24 s. Discussion: The study confirms the validity and accuracy of the equation for predicting PerfSteeple. Predictions using this simple equation may be used in training and competitions for athletes and coaches. PerfSteeple = −57,165 + 1,147 X Perf3000 + 0,955 X age.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
Univ. Artois
Univ. Littoral Côte d’Opale
Univ. Artois
Univ. Littoral Côte d’Opale
Date de dépôt :
2024-08-27T21:05:25Z
2024-08-28T07:28:30Z
2024-08-28T07:28:30Z
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