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  • The influence of age-policy changes on the relative age effect across the Australian Rules football talent pathway

    Author(s)
    Haycraft, Jade AZ
    Kovalchik, Stephanie
    Pyne, David B
    Larkin, Paul
    Robertson, Sam
    Griffith University Author(s)
    Pyne, David B.
    Year published
    2018
    Metadata
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    Abstract
    Objectives: To identify the influence of age-policy changes on the relative age effect (RAE) across the Australian Football League (AFL) talent pathway. Design: Retrospective cross-sectional analysis of junior AFL players attending the National Draft (National), State, and State Under 16s (U16) combines between 1999–2016. Methods: Birth-date data was obtained for players attending the AFL State U16 (n = 663, age: 15.9 ± 0.4 years), State (n = 803, age: 19.1 ± 1.7 years), National (n = 1111, age: 18.3 ± 0.8 years) combines. Corresponding aged-matched Australian general population birth rate data was also collected. Results: A ...
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    Objectives: To identify the influence of age-policy changes on the relative age effect (RAE) across the Australian Football League (AFL) talent pathway. Design: Retrospective cross-sectional analysis of junior AFL players attending the National Draft (National), State, and State Under 16s (U16) combines between 1999–2016. Methods: Birth-date data was obtained for players attending the AFL State U16 (n = 663, age: 15.9 ± 0.4 years), State (n = 803, age: 19.1 ± 1.7 years), National (n = 1111, age: 18.3 ± 0.8 years) combines. Corresponding aged-matched Australian general population birth rate data was also collected. Results: A chi-squared analysis comparing birth month distributions found all combine groups differed significantly from the general population (Under 16s: χ2 = 62.61, State: χ2 = 38.83, National: χ2 = 129.13, p < 0.001). Specifically, Under 16s had greater birth frequencies for months January to March (≥2%, p < 0.05), with more State players born in January (4.9%, p < 0.05). Age-policy changes at the National level reduced birth distribution bias for some months, however the RAE remained for March, June and July (3.9%, 6.1%, 4.3%, p < 0.05). State U16s and National players had 2–9% lower birth frequencies for November–December births compared general population. Conclusions: Selection bias exists towards older players is present at the AFL’s State U16, and is maintained at State and National level combines. Age-policy changes are only partially successful at addressing the RAE at the National level, with alternative strategies also recommended in order to address the RAE across the AFL talent pathways.
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    Journal Title
    JOURNAL OF SCIENCE AND MEDICINE IN SPORT
    Volume
    21
    Issue
    10
    DOI
    https://doi.org/10.1016/j.jsams.2018.03.008
    Subject
    Sports science and exercise
    Medical physiology
    Health services and systems
    Public health
    Publication URI
    http://hdl.handle.net/10072/383410
    Collection
    • Journal articles

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