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Advancing athlete development: How Percentile Comparison Methods (PCMs) can identify youth developmental profiles
Shaun Abbott1, Clorinda Hogan2, Giovanni Postiglione2
1Discipline of Exercise & Sport Science, Faculty of Health Sciences, The University of Sydney, Australia. Electronic address: https://twitter.com/ShaunAbb0tt.
Percentile Comparison Methods (PCMs) offer a novel approach to evaluating youth athletic performance by accounting for developmental differences. These methods identify distinct athlete developmental profiles, improving performance evaluation and athlete development programming.
Area of Science:
- Sports Science
- Pediatric Exercise Science
- Talent Identification and Development
Background:
- Youth athletic performance evaluation is confounded by inter-individual developmental differences.
- Accurate assessment requires considerate methodology and analytical approaches to account for biological and chronological age variations.
- Existing methods may not adequately capture the nuanced developmental trajectories of young athletes.
Purpose of the Study:
- To develop, test, and apply Percentile Comparison Methods (PCMs) for identifying athlete developmental profiles in Australian youth swimming.
- To improve the validity of youth athletic performance evaluation by incorporating developmental considerations.
- To inform athlete development programming through a more accurate understanding of individual progress.
Main Methods:
- A cross-sectional study involving 866 female 100m Front-Crawl swimmers aged 9-15 years.
- Data collected included swim performance, age, date of birth, and anthropometric measures to determine relative age and maturity status.
- Percentile ranks were generated comparing individual performances against age-group norms, adjusted for relative age and maturity status.
Main Results:
- Relative age and maturity-adjusted percentile rankings improved general rank for younger and later-maturing swimmers compared to raw ranks.
- Five distinct Percentile Comparison Method profile types were identified: 'Early Developing' (19%), 'Later Developing' (18%), 'Consistent' (15%), 'Mixed' (38%), and 'Counteracting' (10%).
- PCMs effectively identified developmentally advantaged/disadvantaged swimmers and potential developmental trajectories.
Conclusions:
- Percentile Comparison Methods enhance the validity of youth athletic performance evaluation.
- PCMs provide valuable insights into individual athlete development, aiding in the identification of talent and potential.
- The application of PCMs can significantly inform and improve athlete development programming for youth swimmers.
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