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Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?

The relative age effect (RAE) represents an asymmetry in birth quarter distribution, favoring athletes born early in the selection year and discriminating against late born athletes. The RAE was proven to be present in all age categories of national and international levels of alpine ski racing. Due...

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Autores principales: Steidl-Müller, Lisa, Müller, Erich, Hildebrandt, Carolin, Raschner, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739570/
https://www.ncbi.nlm.nih.gov/pubmed/33344978
http://dx.doi.org/10.3389/fspor.2019.00055
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author Steidl-Müller, Lisa
Müller, Erich
Hildebrandt, Carolin
Raschner, Christian
author_facet Steidl-Müller, Lisa
Müller, Erich
Hildebrandt, Carolin
Raschner, Christian
author_sort Steidl-Müller, Lisa
collection PubMed
description The relative age effect (RAE) represents an asymmetry in birth quarter distribution, favoring athletes born early in the selection year and discriminating against late born athletes. The RAE was proven to be present in all age categories of national and international levels of alpine ski racing. Due to the existence of the RAE in all categories, it can be assumed that a selection error takes place favoring early born and early maturing youth ski racers. However, whether selection strategies have changed during the last years due to the high amount of research done in this field, has not been investigated so far in this sport. Therefore, the aim of the present study was to assess whether the magnitude of the RAE in youth ski racers aged 10–14 years has changed during the last decade by comparing the periods 2005–2009 (“former” athletes) and 2015–2019 (“current” athletes). Pupils of a well-known skiing-specific secondary modern school as well as members of the provincial ski team, who all competed at national levels, were included in the study. Next to the birth months, anthropometric characteristics (body height, weight, body mass index) were assessed. Chi-square tests were used to compare differences between the observed and expected relative age quarter distributions across five age categories (U11–U15). Additionally, Kruskal–Wallis-H-Tests were performed to assess differences in anthropometric characteristics between athletes of the four relative age quarters. Mann–Whitney U-Tests were performed to assess possible differences in anthropometric characteristics between former and current ski racers. A highly significant RAE was present in both former [χ(2)((3, 764)) = 60.36; p < 0.001; ω = 0.31] and current youth ski racers [χ(2)((3, 702)) = 43.13; p < 0.001; ω = 0.29] with an over-representation of athletes of Q1 (30.3–34.2%) and a clear under-representation of athletes of Q4 (14.8–15.0%). Generally, results indicated no change in the magnitude of the RAE in youth alpine ski racing over the past 10–15 years, emphasizing the robust nature of this phenomenon. No significant differences were found in any of the anthropometric characteristics between athletes of the four relative age quarters in both former and current athletes, indicating that relatively younger athletes of the last relative age quarter seem to have to have advanced anthropometric characteristics for being selected. Changes in the talent selection process should be performed to reduce the impact of the RAE.
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spelling pubmed-77395702020-12-17 Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing? Steidl-Müller, Lisa Müller, Erich Hildebrandt, Carolin Raschner, Christian Front Sports Act Living Sports and Active Living The relative age effect (RAE) represents an asymmetry in birth quarter distribution, favoring athletes born early in the selection year and discriminating against late born athletes. The RAE was proven to be present in all age categories of national and international levels of alpine ski racing. Due to the existence of the RAE in all categories, it can be assumed that a selection error takes place favoring early born and early maturing youth ski racers. However, whether selection strategies have changed during the last years due to the high amount of research done in this field, has not been investigated so far in this sport. Therefore, the aim of the present study was to assess whether the magnitude of the RAE in youth ski racers aged 10–14 years has changed during the last decade by comparing the periods 2005–2009 (“former” athletes) and 2015–2019 (“current” athletes). Pupils of a well-known skiing-specific secondary modern school as well as members of the provincial ski team, who all competed at national levels, were included in the study. Next to the birth months, anthropometric characteristics (body height, weight, body mass index) were assessed. Chi-square tests were used to compare differences between the observed and expected relative age quarter distributions across five age categories (U11–U15). Additionally, Kruskal–Wallis-H-Tests were performed to assess differences in anthropometric characteristics between athletes of the four relative age quarters. Mann–Whitney U-Tests were performed to assess possible differences in anthropometric characteristics between former and current ski racers. A highly significant RAE was present in both former [χ(2)((3, 764)) = 60.36; p < 0.001; ω = 0.31] and current youth ski racers [χ(2)((3, 702)) = 43.13; p < 0.001; ω = 0.29] with an over-representation of athletes of Q1 (30.3–34.2%) and a clear under-representation of athletes of Q4 (14.8–15.0%). Generally, results indicated no change in the magnitude of the RAE in youth alpine ski racing over the past 10–15 years, emphasizing the robust nature of this phenomenon. No significant differences were found in any of the anthropometric characteristics between athletes of the four relative age quarters in both former and current athletes, indicating that relatively younger athletes of the last relative age quarter seem to have to have advanced anthropometric characteristics for being selected. Changes in the talent selection process should be performed to reduce the impact of the RAE. Frontiers Media S.A. 2019-11-05 /pmc/articles/PMC7739570/ /pubmed/33344978 http://dx.doi.org/10.3389/fspor.2019.00055 Text en Copyright © 2019 Steidl-Müller, Müller, Hildebrandt and Raschner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Sports and Active Living
Steidl-Müller, Lisa
Müller, Erich
Hildebrandt, Carolin
Raschner, Christian
Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title_full Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title_fullStr Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title_full_unstemmed Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title_short Did the Relative Age Effect Change Over a Decade in Elite Youth Ski Racing?
title_sort did the relative age effect change over a decade in elite youth ski racing?
topic Sports and Active Living
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739570/
https://www.ncbi.nlm.nih.gov/pubmed/33344978
http://dx.doi.org/10.3389/fspor.2019.00055
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