Estimated Time Limit: A Brief Review of a Perceptually Based Scale
Identifieur interne : 000F59 ( PascalFrancis/Corpus ); précédent : 000F58; suivant : 000F60Estimated Time Limit: A Brief Review of a Perceptually Based Scale
Auteurs : Jérémy B. Coquart ; Roger G. Eston ; Timothy D. Noakes ; Claire Tourny-Chollet ; Maxime L'Hermette ; Frédéric Lemaitre ; Murielle GarcinSource :
- Sports medicine : (Auckland) [ 0112-1642 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
The ability to predict performance is of great interest for athletes and coaches. It is helpful for the selection of athletes to a team, the prescription of individualized training and the determination of the optimal pacing strategy. However, it is often difficult to judge the time to exhaustion without maximal exercise testing, which is often difficult to schedule during a competitive season. Consequently, the purpose of this review is to present a recent tool based on subjective prediction of time to exhaustion than can be achieved without requiring a maximal effort. This tool is the estimated time limit (ETL) scale. This review summarizes all experimentations that have studied the ETL scale. These studies suggest that the ETL scale may be used to predict time to exhaustion.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
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Format Inist (serveur)
NO : | PASCAL 12-0389457 INIST |
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ET : | Estimated Time Limit: A Brief Review of a Perceptually Based Scale |
AU : | COQUART (Jérémy B.); ESTON (Roger G.); NOAKES (Timothy D.); TOURNY-CHOLLET (Claire); L'HERMETTE (Maxime); LEMAITRE (Frédéric); GARCIN (Murielle) |
AF : | Universite de Rouen, Faculte des Sciences du Sport et de l'Education Physique, Centre d'Etudes des Transformations des Activités Physiques et Sportives/Mont Saint Aignan/France (1 aut., 4 aut., 5 aut., 6 aut.); Sansom Institute for Health Research, School of Health Sciences, University of South Australia/Adelaide, SA/Australie (2 aut.); Sport and Health Sciences, University of Exeter/Exeter/Royaume-Uni (2 aut.); Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town/Cape Town/Afrique du Sud (3 aut.); Universite Lille Nord de France/Lille/France (7 aut.); UDSL, EA4488/59790, Ronchin/France (7 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Sports medicine : (Auckland); ISSN 0112-1642; Coden SPMEE7; Nouvelle-Zélande; Da. 2012; Vol. 42; No. 10; Pp. 845-855; Bibl. 49 ref. |
LA : | Anglais |
EA : | The ability to predict performance is of great interest for athletes and coaches. It is helpful for the selection of athletes to a team, the prescription of individualized training and the determination of the optimal pacing strategy. However, it is often difficult to judge the time to exhaustion without maximal exercise testing, which is often difficult to schedule during a competitive season. Consequently, the purpose of this review is to present a recent tool based on subjective prediction of time to exhaustion than can be achieved without requiring a maximal effort. This tool is the estimated time limit (ETL) scale. This review summarizes all experimentations that have studied the ETL scale. These studies suggest that the ETL scale may be used to predict time to exhaustion. |
CC : | 002A24 |
FD : | Article synthèse; Sport; Homme |
ED : | Review; Sport; Human |
SD : | Artículo síntesis; Deporte; Hombre |
LO : | INIST-21412.354000502023900030 |
ID : | 12-0389457 |
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<front><div type="abstract" xml:lang="en">The ability to predict performance is of great interest for athletes and coaches. It is helpful for the selection of athletes to a team, the prescription of individualized training and the determination of the optimal pacing strategy. However, it is often difficult to judge the time to exhaustion without maximal exercise testing, which is often difficult to schedule during a competitive season. Consequently, the purpose of this review is to present a recent tool based on subjective prediction of time to exhaustion than can be achieved without requiring a maximal effort. This tool is the estimated time limit (ETL) scale. This review summarizes all experimentations that have studied the ETL scale. These studies suggest that the ETL scale may be used to predict time to exhaustion.</div>
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