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Datson, N, Weston, M, Drust, B, Gregson, W and Lolli, L (2019) High-intensity endurance capacity assessment as a tool for talent identification in elite youth female soccer. Journal of Sports Sciences. ISSN 1466-447X
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Abstract
Talent identification and development programmes have received broad attention in the last decades, yet evidence regarding the predictive utility of physical performance in female soccer players is limited. Using a retrospective design, we appraised the predictive value of performance-related measures in a sample of 228 youth female soccer players previously involved in residential Elite Performance Camps (age range: 12.7-15.3 years). With 10-m sprinting, 30-m sprinting, counter-movement jump height, and Yo-Yo Intermittent Recovery Test Level 1 (IR1) distance as primary predictor variables, the Akaike Information Criterion (AIC) assessed the relative quality of four penalised logistic regression models for determining future competitive international squads U17-U20 level selection. The model including Yo-Yo IR1 was the best for predicting career outcome. Predicted probabilities of future selection to the international squad increased with higher Yo-Yo IR1 distances, from 4.5% (95% confidence interval, 0.8 to 8.2%) for a distance lower than 440 m to 64.7% (95% confidence interval, 47.3 to 82.1%) for a score of 2040 m. The present study highlights the predictive utility of high-intensity endurance capacity for informing career progression in elite youth female soccer and provides reference values for staff involved in the talent development of elite youth female soccer players.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 1106 Human Movement and Sports Sciences, 1302 Curriculum and Pedagogy |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure > GV561 Sports |
| Divisions: | Sport and Exercise Sciences |
| Publisher: | Taylor & Francis |
| Related URLs: | |
| Date of acceptance: | 11 August 2019 |
| Date Deposited: | 04 Sep 2019 09:37 |
| Last Modified: | 04 Sep 2021 08:56 |
| DOI or ID number: | 10.1080/02640414.2019.1656323 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/11275 |
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