2022, Article / Letter to editor (International Journal of Sports Physiology and Performance, vol. 17, iss. 10, (2022), pp. 1489-1498)PURPOSE: To evaluate the predictive value of a (non-)sport-specific test battery on the future success of young cyclists, test scores were compared with competition performances 2-3 years later. METHODS: Three motor coordination, 5 physical performance, and 2 cycling-specific measurements were collected in 111 U15 (13.0-14.9 y) and 67 U17 (15.0-16.9 y) male road cyclists. In addition, maturity status, relative age, and competition history were assessed. National and provincial competition results 2-3 years later, in the U17year2 and U19year2 categories, were submitted to 2 separate 4-stage hierarchical regressions. RESULTS: The results of the model of the U15 group revealed that maturity, relative age, competition history, motor coordination, physical performance, and cycling-specific performance accounted for 22.6% of the variance in competitive success. For the U15 category, only maturity and motor coordination were significant predictors of competitive success in the U17year2 category. Maturity and motor coordination each uniquely explained ±5% of the variance. However, for the U17 group-neither motor coordination, physical performance, nor cycling-specific performance could predict competitive success in the U19year2 category. CONCLUSIONS: The current study underlines the importance of general motor coordination as a building block necessary for optimal development in youth cycling. However, considering the lack of predictive value from the U17 category onward, other features may determine further development of youth athletes. Nevertheless, it is questioned why athletes need to possess a minimum level of all physical, motor coordination, and cycling-specific characteristics to experience success and enjoyment in their sport.
2022, Article / Letter to editor (International Journal of Sports Science & Coaching, (2022))This study examined the influence of both anthropometric and physical performance determinants on the likelihood to be selected to progress through a talent identification and development programme in young tennis. Data were collected in 538 young tennis players (323 males and 215 females) from 6 age categories (U8-U13). A principal component analysis was used to generate one anthropometric determinant (based on body height, body weight and maturity offset) and four physical performance determinants: speed and agility (based on 5 m sprint, 20 m sprint and 505 change of direction test); jumping power (based on standing broad jump and standing broad jump in series); motor coordination (based on balancing backwards and jumping sideways) and tennis ball control (based on a throw and catch test and hold tennis ball up test). For all determinants, tertiles were generated for every age category and both sexes separately. Univariate binary logistic regressions were performed to examine the influence of each determinant on the chances to be selected to progress in the talent identification and development programme. Significant odds ratios were found for all included anthropometric and physical performance determinants (p < 0.05), ranging from 0.26 to 7.50 in the male young tennis players and from 0.18 to 6.87 in the female young tennis players. The included determinants influenced selection chances mostly in the early age categories (U8-U10) as opposed to the later age categories (U11-U13). Future research should examine the influence of additional determinants (such as tennis (match-play) performance) on the selection chances to progress through a talent identification and development programme.