How performance analysis of elite long jumping can inform representative training design through identification of key constraints on competitive behaviours.

McCosker, Chris; Renshaw, Ian; Greenwood, Daniel; Davids, Keith; Gosden, Edward

McCosker, Chris; Renshaw, Ian; Greenwood, Daniel; Davids, Keith; Gosden, Edward.

Affiliation

McCosker C; a Institute of Health and Biomedical Innovation, Queensland University of Technology , Brisbane , Australia.
Renshaw I; b School of Exercise & Nutrition Sciences, Queensland University of Technology , Brisbane , Australia.
Greenwood D; a Institute of Health and Biomedical Innovation, Queensland University of Technology , Brisbane , Australia.
Davids K; b School of Exercise & Nutrition Sciences, Queensland University of Technology , Brisbane , Australia.
Gosden E; c Movement Science, Australian Institute of Sport , Bruce , Australia.

Eur J Sport Sci ; 19(7): 913-921, 2019 Aug.

Article in En | MEDLINE | ID: mdl-30614404

Subject(s)

Athletic Performance/physiology; Competitive Behavior/physiology; Task Performance and Analysis; Track and Field/physiology; Adult; Female; Humans; Male

Key words

Performance analysis; ecological dynamics; interacting constraints; long jump; representative learning design

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Task Performance and Analysis / Track and Field / Competitive Behavior / Athletic Performance Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: Eur J Sport Sci Year: 2019 Document type: Article Affiliation country: Australia Country of publication: United kingdom

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