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Article: The effects of training on performance and performance-related states in individual elite athletes: A dynamic approach

TitleThe effects of training on performance and performance-related states in individual elite athletes: A dynamic approach
Authors
KeywordsDynamic linear model
Fatigue
Idiographic
Naturalistic
Triathlon
Issue Date2010
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02640414.asp
Citation
Journal Of Sports Sciences, 2010, v. 28 n. 10, p. 1117-1126 How to Cite?
AbstractThere are difficulties undertaking controlled training studies with elite athletes. Thus, data from non-elite performers are often presented in scientific journals and subsequently used to guide general training principles. This information may not be transferable or specific enough to inform training practices in an individual elite athlete. However, the nature of athletic participation at elite levels provides the opportunity to collect training data, performance-related variables, and performance data of elite athletes over long periods. In this paper, we describe how dynamic linear models provide an opportunity to use these data to inform training. Data from an elite female triathlete collected over a 111-day training period were used to model the relationship between training and self-reported fatigue. The dynamic linear model analysis showed the independent effects of the three modes of triathlon training on fatigue, how these can change across time, and the possible influence of other unmeasured variables. This paper shows the potential for the use of dynamic linear models as an aid to planning training in elite athletes. © 2010 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/132186
ISSN
2015 Impact Factor: 2.142
2015 SCImago Journal Rankings: 1.204
ISI Accession Number ID
Funding AgencyGrant Number
Queensland Academy of Sport Research190606
Central Queensland University Research Training Scheme
Funding Information:

This study was supported by Queensland Academy of Sport Research Grant #190606 and a Central Queensland University Research Training Scheme grant.

References

 

DC FieldValueLanguage
dc.contributor.authorBarnett, Aen_HK
dc.contributor.authorCerin, Een_HK
dc.contributor.authorReaburn, Pen_HK
dc.contributor.authorHooper, Sen_HK
dc.date.accessioned2011-03-21T08:59:56Z-
dc.date.available2011-03-21T08:59:56Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal Of Sports Sciences, 2010, v. 28 n. 10, p. 1117-1126en_HK
dc.identifier.issn0264-0414en_HK
dc.identifier.urihttp://hdl.handle.net/10722/132186-
dc.description.abstractThere are difficulties undertaking controlled training studies with elite athletes. Thus, data from non-elite performers are often presented in scientific journals and subsequently used to guide general training principles. This information may not be transferable or specific enough to inform training practices in an individual elite athlete. However, the nature of athletic participation at elite levels provides the opportunity to collect training data, performance-related variables, and performance data of elite athletes over long periods. In this paper, we describe how dynamic linear models provide an opportunity to use these data to inform training. Data from an elite female triathlete collected over a 111-day training period were used to model the relationship between training and self-reported fatigue. The dynamic linear model analysis showed the independent effects of the three modes of triathlon training on fatigue, how these can change across time, and the possible influence of other unmeasured variables. This paper shows the potential for the use of dynamic linear models as an aid to planning training in elite athletes. © 2010 Taylor & Francis.en_HK
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02640414.aspen_HK
dc.relation.ispartofJournal of Sports Sciencesen_HK
dc.subjectDynamic linear modelen_HK
dc.subjectFatigueen_HK
dc.subjectIdiographicen_HK
dc.subjectNaturalisticen_HK
dc.subjectTriathlonen_HK
dc.subject.meshAthletes-
dc.subject.meshAthletic Performance - physiology-
dc.subject.meshExercise-
dc.subject.meshFatigue - physiopathology-
dc.subject.meshFemale-
dc.titleThe effects of training on performance and performance-related states in individual elite athletes: A dynamic approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0264-0414&volume=28&issue=10&spage=1117&epage=1126&date=2010&atitle=The+effects+of+training+on+performance+and+performance-related+states+in+individual+elite+athletes:+a+dynamic+approach-
dc.identifier.emailCerin, E: ecerin@hku.hken_HK
dc.identifier.authorityCerin, E=rp00890en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/02640414.2010.497817en_HK
dc.identifier.pmid20686999-
dc.identifier.scopuseid_2-s2.0-77955765045en_HK
dc.identifier.hkuros177015en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955765045&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume28en_HK
dc.identifier.issue10en_HK
dc.identifier.spage1117en_HK
dc.identifier.epage1126en_HK
dc.identifier.isiWOS:000281032000012-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridBarnett, A=35195335800en_HK
dc.identifier.scopusauthoridCerin, E=14522064200en_HK
dc.identifier.scopusauthoridReaburn, P=6603399741en_HK
dc.identifier.scopusauthoridHooper, S=7102681287en_HK

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