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DOI 10.1016/j.jsams.2024.03.004

Медицинская библиотека · Journal of science and medicine in sport · 2024

Advancing athlete development: How Percentile Comparison Methods (PCMs) can identify youth developmental profiles.

Abbott Shaun, Hogan Clorinda, Postiglione Giovanni, Barclay Gary, Cobley Stephen

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Аннотация

OBJECTIVES

Inter-individual developmental differences confound the capability to accurately evaluate youth athletic performance, highlighting the need for considerate methodology and analytical approaches. The present study demonstrated how Percentile Comparison Methods (PCMs) were developed, tested, and applied to identify athlete developmental profiles in Australian youth swimming.

DESIGN

Cross-sectional.

METHODS

Participants were N = 866 female 100-metre (m) Front-Crawl swimmers, aged 9-15 years, competing at 36 Australian regional-national level long course events. At respective events, swim performance time was collated alongside, age, date of birth, and anthropometric measures to identify age group, relative age, and maturity status. Quadratic relative age and maturity status with 100-m performance regression trendlines were generated. Then, individual swim performances at a given relative age or maturity status were converted into percentile rank distributions and compared with raw (unadjusted) annual age-group performance percentile ranks.

RESULTS

At a cohort level, initial testing confirmed relative age and maturity-adjusted percentile rankings were associated with general rank improvements for relatively younger and later maturing swimmers compared to raw ranks (and vice versa). When assessing individual swimmer plots, where three percentile rank scores were compared and rank change threshold criteria applied, five Percentile Comparison Method profile types were identified, namely: 'Early Developing' (19 %); 'Later Developing' (18 %); 'Consistent' (15 %); 'Mixed' (38 %) and 'Counteracting' (10 %). Percentile Comparison Method plots helped identify developmentally (dis-)advantaged swimmers; specific factors leading to (dis-)advantage, and likely onward development trajectories.

CONCLUSIONS

Overall and with practical considerations, Percentile Comparison Methods can improve the validity of youth athletic performance evaluation as well as inform athlete development programming.

Для цитирования: Abbott Shaun, Hogan Clorinda, Postiglione Giovanni, Barclay Gary, Cobley Stephen. Advancing athlete development: How Percentile Comparison Methods (PCMs) can identify youth developmental profiles.. Journal of science and medicine in sport. 2024. DOI: 10.1016/j.jsams.2024.03.004.

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