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Estimated Time Limit: A Brief Review of a Perceptually Based Scale

Identifieur interne : 000F59 ( PascalFrancis/Corpus ); précédent : 000F58; suivant : 000F60

Estimated 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 Garcin

Source :

RBID : Pascal:12-0389457

Descripteurs français

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.

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Pour connaître la documentation sur le format Inist Standard.

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A08 01  1  ENG  @1 Estimated Time Limit: A Brief Review of a Perceptually Based Scale
A11 01  1    @1 COQUART (Jérémy B.)
A11 02  1    @1 ESTON (Roger G.)
A11 03  1    @1 NOAKES (Timothy D.)
A11 04  1    @1 TOURNY-CHOLLET (Claire)
A11 05  1    @1 L'HERMETTE (Maxime)
A11 06  1    @1 LEMAITRE (Frédéric)
A11 07  1    @1 GARCIN (Murielle)
A14 01      @1 Universite de Rouen, Faculte des Sciences du Sport et de l'Education Physique, Centre d'Etudes des Transformations des Activités Physiques et Sportives @2 Mont Saint Aignan @3 FRA @Z 1 aut. @Z 4 aut. @Z 5 aut. @Z 6 aut.
A14 02      @1 Sansom Institute for Health Research, School of Health Sciences, University of South Australia @2 Adelaide, SA @3 AUS @Z 2 aut.
A14 03      @1 Sport and Health Sciences, University of Exeter @2 Exeter @3 GBR @Z 2 aut.
A14 04      @1 Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town @2 Cape Town @3 ZAF @Z 3 aut.
A14 05      @1 Universite Lille Nord de France @2 Lille @3 FRA @Z 7 aut.
A14 06      @1 UDSL, EA4488 @2 59790, Ronchin @3 FRA @Z 7 aut.
A20       @1 845-855
A21       @1 2012
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A43 01      @1 INIST @2 21412 @5 354000502023900030
A44       @0 0000 @1 © 2012 INIST-CNRS. All rights reserved.
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A60       @1 P
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A64 01  1    @0 Sports medicine : (Auckland)
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C01 01    ENG  @0 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.
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Format Inist (serveur)

NO : PASCAL 12-0389457 INIST
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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Pascal:12-0389457

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<ET>Estimated Time Limit: A Brief Review of a Perceptually Based Scale</ET>
<AU>COQUART (Jérémy B.); ESTON (Roger G.); NOAKES (Timothy D.); TOURNY-CHOLLET (Claire); L'HERMETTE (Maxime); LEMAITRE (Frédéric); GARCIN (Murielle)</AU>
<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.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Sports medicine : (Auckland); ISSN 0112-1642; Coden SPMEE7; Nouvelle-Zélande; Da. 2012; Vol. 42; No. 10; Pp. 845-855; Bibl. 49 ref.</SO>
<LA>Anglais</LA>
<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.</EA>
<CC>002A24</CC>
<FD>Article synthèse; Sport; Homme</FD>
<ED>Review; Sport; Human</ED>
<SD>Artículo síntesis; Deporte; Hombre</SD>
<LO>INIST-21412.354000502023900030</LO>
<ID>12-0389457</ID>
</server>
</inist>
</record>

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