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Mitigating against relative age effects in youth Track & Field: Validating corrective adjustment procedures across multiple events.
Brustio, Paolo Riccardo; Boccia, Gennaro; Abbott, Shaun; La Torre, Antonio; Rainoldi, Alberto; Cobley, Stephen.
Affiliation
  • Brustio PR; Department of Clinical and Biological Sciences, University of Turin, Italy; NeuroMuscularFunction Research Group, School of Exercise & Sport Sciences, University of Turin, Italy. Electronic address: paoloriccardo.brustio@unito.it.
  • Boccia G; Department of Clinical and Biological Sciences, University of Turin, Italy; NeuroMuscularFunction Research Group, School of Exercise & Sport Sciences, University of Turin, Italy. Electronic address: https://twitter.com/gennaro_boccia.
  • Abbott S; Discipline of Exercise & Sport Science, Faculty of Health Sciences, The University of Sydney, Australia. Electronic address: https://twitter.com/ShaunAbb0tt.
  • La Torre A; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Italy.
  • Rainoldi A; NeuroMuscularFunction Research Group, School of Exercise & Sport Sciences, University of Turin, Italy; Department of Medical Sciences, University of Turin, Italy.
  • Cobley S; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Italy.
J Sci Med Sport ; 27(9): 646-653, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38880717
ABSTRACT

OBJECTIVES:

With the aim to better identify talented Track & Field performance development, this study estimated the relationships between chronological (decimal) age with 60-m sprint, high jump, triple jump, and pole vault performance. Then, to mitigate against expected Relative Age Effects (RAEs), Corrective Adjustment Procedures (CAPs) were applied to an independent sample.

DESIGN:

Mixed-longitudinal design examining public data between 2005 and 2019.

METHODS:

The performances of 5339 Italian sprinters and jumpers (53.1 %) spanning 11.01-17.99 years of age were examined, with trendlines between chronological age and performance established. Related to an independent sample (N = 40,306; female 45.5 %), trendlines were then utilised to apply CAPs and adjust individual performance. Considering raw and adjusted performance data, RAE distributions were examined for the top 25 % and 10 % performers.

RESULTS:

For all male and female events, quadratic models best summarised the relationships between chronological age and performance (R2 = 0.74-0.89). When examining independent athletes in similar event, RAEs were more pronounced in males (Cramer's V = 0.35-0.14) than females (Cramer's V = 0.29-0.07). For both sexes, RAE magnitude decreased with age and increased according to performance level (i.e., Top25%-Top10%). However, following CAP applications, RAEs were reduced or removed within annual age groups and performance levels.

CONCLUSIONS:

With RAEs prevalent across Italian youth Track & Field events, findings validate CAPs as a strategy to account for the influence of relative age differences on athletic performance. CAPs help establish a more equitable strategy for performance evaluation and could help improve the efficacy of long-term athlete development programming.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Track and Field / Athletic Performance Limits: Adolescent / Child / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2024 Document type: Article Country of publication: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Track and Field / Athletic Performance Limits: Adolescent / Child / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2024 Document type: Article Country of publication: Australia