Evaluation of the support of young athletes in the elite sports system

Güllich, Arne; Emrich, Eike

doi:10.1080/16138171.2006.11687783

Cited by 92 publications

(80 citation statements)

References 9 publications

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“…There is, however, limited evidence to suggest that ability or success in late childhood and adolescence is predictive of success at the adult level. A seven year follow-up of German athletes across seven Olympic sports found that that only 15 of 4972 (0.3%) of those selected at the youngest level in each sport eventually ranked amongst the 10 best international senior athletes (37). Furthermore, a three-year follow-up analysis noted that only 192 of 11,287 athletes in elite sport schools (1.7%) attained a medal in an international championship as adults.…”

Section: Bio-banding and Talent Identificationmentioning

confidence: 99%

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Cumming

Lloyd

Oliver

et al. 2017

Strength &Amp; Conditioning Journal

226

299

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Bio-banding is the process of grouping athletes on the basis of attributes associated with growth and maturation, rather than chronological age. Children of the same age may vary considerably in biological maturation with some individuals maturing well in advance or delay of their peers. The timing of maturation has important implications for competition, talent identification and training. Increased awareness and interest in the subject of maturation has sparked a renewed interest in the study and application of bio-banding. This overview describes the purpose and process of bio-banding, potential benefits and limitations, and also presents some recent advances in its application in youth sports.

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Section: Bio-banding and Talent Identificationmentioning

confidence: 99%

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Cumming

Lloyd

Oliver

et al. 2017

Strength &Amp; Conditioning Journal

226

299

View full text Add to dashboard Cite

show abstract

“…Looking at the youngest of cohorts, Fransen and colleagues 21 analyzed 735 boys aged 10 to 12 years of age and found that those who participated in various sports performed better on a standing broad jump and gross motor coordination than those who specialized in a single sport. Gullich and Emrich 22,23 examined athletic performance in Germany and found that the younger the age of recruitment of the athlete into specialized training programs, the earlier they left sports. Those athletes who progressed to higher levels of participation began playing sports at later ages.…”

mentioning

confidence: 98%

Consequences of Single Sport Specialization in the Pediatric and Adolescent Athlete

Smucny

Parikh

Pandya

2015

Orthopedic Clinics of North America

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“…14 Typically, the pathway to elite performance is known to be non-linear, with early selection not a requirement of future success, provided the athlete was involved in deliberate practice. 15,16 Researchers investigating talent identification acknowledge the need for a better understanding of numerous predictors, e.g. the idiosyncrasies of biological variability, the environment and these interactions, before talent identification tools are effective.…”

Section: Introductionmentioning

confidence: 99%

Confirming the Value of Swimming-Performance Models for Adolescents

Dormehl¹,

Robertson²,

Barker³

et al. 2017

International Journal of Sports Physiology and Performance

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Purpose: To evaluate the efficacy of existing performance models to assess the progression of male and female adolescent swimmers through a quantitative and qualitative mixed-methods approach. Methods: Fourteen published models were tested using retrospective data from an independent sample of Dutch junior national-level swimmers from when they were between 12 and 18 years of age (n=13). The degree of association by Pearson's correlations were compared between the calculated differences from the models and quadratic functions derived from the Dutch junior national qualifying times. Swimmers were grouped based on their differences from the models and compared with their swimming histories that were extracted from questionnaires and follow-up interviews. Results: Correlations of the deviations from both the models and quadratic functions derived from the Dutch qualifying times were all significant except for the 100 m breaststroke and butterfly and the 200 m freestyle female events (p<0.05). Additionally, the 100 m freestyle and backstroke for males and 200 m freestyle male and female events were almost directly proportional. In general deviations from the models were accounted for by the swimmers' training histories. Higher levels of retrospective motivation appeared to be synonymous with higher-level career performance. Conclusion:This mixed-methods approach helped to confirm the validity of the models that were found to be applicable to adolescent swimmers at all levels, allowing coaches to track performance and set goals. The value of the models in being able to account for the expected performance gains during adolescence allows for peripheral factors that could affect performance to be quantified.

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Evaluation of the support of young athletes in the elite sports system

Cited by 92 publications

References 9 publications

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Consequences of Single Sport Specialization in the Pediatric and Adolescent Athlete

Confirming the Value of Swimming-Performance Models for Adolescents

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