التفاصيل البيبلوغرافية
| العنوان: |
Biological Maturity Status in Elite Youth Soccer Players: A Comparison of Pragmatic Diagnostics With Magnetic Resonance Imaging |
| المؤلفون: |
Daniel Leyhr, Dennis Murr, Lajos Basten, Katrin Eichler, Thomas Hauser, Dennis Lüdin, Michael Romann, Giuseppe Sardo, Oliver Höner |
| المصدر: |
Frontiers in Sports and Active Living, Vol 2 (2020) |
| بيانات النشر: |
Frontiers Media S.A., 2020. |
| سنة النشر: |
2020 |
| المجموعة: |
LCC:Sports |
| مصطلحات موضوعية: |
talent development, youth football, talent identification, biological maturation, MRI, Sports, GV557-1198.995 |
| الوصف: |
The influence of biological maturity status (BMS) on talent identification and development within elite youth soccer is critically debated. During adolescence, maturity-related performance differences within the same age group may cause greater chances of being selected for early maturing players. Therefore, coaches need to consider players' BMS. While standard methods for assessing BMS in adolescents are expensive and time-consuming imaging techniques (i.e., X-ray and MRI), there also exist more pragmatic procedures. This study aimed to evaluate commonly used methods to assess BMS within a highly selected sample of youth soccer players. A total of N = 63 elite male soccer players (U12 and U14) within the German Soccer Association's talent promotion program completed a test battery assessing BMS outcomes. Utilizing MRI diagnostics, players' skeletal age (SAMRI) was determined by radiologists and served as the reference method. Further commonly used methods included skeletal age measured by an ultrasound device (SAUS), the maturity offset (MOMIR), and the percentage of adult height (PAHKR). The relation of these alternative BMS outcomes to SAMRI was examined using different perspectives: performing bivariate correlation analyses (1), modeling BMS as a latent variable (BMSlat) based on the multiple alternative diagnostics (2), and investigating individual differences in agreement (3). (1) Correlations of SAMRI and the further BMS variables ranked from r = 0.80 to r = 0.84 for the total sample and were lower for U12 (0.56 ≤ r ≤ 0.66), and U14 (0.61 ≤ r ≤ 0.74) (2). The latent structural equation modeling (SEM) (R2 = 51%) revealed a significant influence on BMSlat for MOMIR (β = 0.51, p |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2624-9367 |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fspor.2020.587861/full; https://doaj.org/toc/2624-9367 |
| DOI: |
10.3389/fspor.2020.587861 |
| URL الوصول: |
https://doaj.org/article/ce2e8d34d1cd4d38b6c42446084c89c8 |
| رقم الانضمام: |
edsdoj.2e8d34d1cd4d38b6c42446084c89c8 |
| قاعدة البيانات: |
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