TY - JOUR
T1 - Variable and Changing Trajectories in Youth Athlete Development
T2 - Further Verification in Advocating a Long-term Inclusive Tracking Approach
AU - Cobley, Stephen P.
AU - Till, Kevin
AU - O'Hara, John
AU - Cooke, Carlton
AU - Chapman, Chris
PY - 2014
Y1 - 2014
N2 - Athlete development through adolescence can vary greatly because of maturational processes. For example, variation can be observed in anthropometric and fitness measures with later maturing individuals "catching up" their earlier maturing peers at later time points. This study examined a methodological issue concerning how best to assess anthropometric and fitness change (i.e., "across age categories" or "per year") relative to an age and skill-matched population (N = 1,172). Furthermore, it examined changes in anthropometric and fitness characteristics in 3 cases of youth rugby league players (aged 13-15) across a 2-year period. Findings identified the "per year" method as generating less deviated z-scores across anthropometric and fitness measures (e.g., mean change p < 0.001), suggesting less substantial change in case players relative to the population. When applied to additional players, z-score and radar graphs showed developmental variability and longitudinal change. The possibility of a "later maturing player" increasing anthropometric (e.g., height: player 4 = 3.3 cm; player 5 = 13.2 cm; and player 6 = 15.7 cm) and fitness (e.g., 30-m sprint: player 4 = 20.18 s, player 5 = 20.46 s, and player 6 = 20.59 s) characteristics compared with early maturing players was confirmed. Findings affirm the potential for variable and changing trajectories in adolescent athletes. Practical implications advocate a long-term inclusive tracking approach of athletes, the avoidance of (de) selection, and the reduction of a performance emphasis in adolescent stages of sport systems.
AB - Athlete development through adolescence can vary greatly because of maturational processes. For example, variation can be observed in anthropometric and fitness measures with later maturing individuals "catching up" their earlier maturing peers at later time points. This study examined a methodological issue concerning how best to assess anthropometric and fitness change (i.e., "across age categories" or "per year") relative to an age and skill-matched population (N = 1,172). Furthermore, it examined changes in anthropometric and fitness characteristics in 3 cases of youth rugby league players (aged 13-15) across a 2-year period. Findings identified the "per year" method as generating less deviated z-scores across anthropometric and fitness measures (e.g., mean change p < 0.001), suggesting less substantial change in case players relative to the population. When applied to additional players, z-score and radar graphs showed developmental variability and longitudinal change. The possibility of a "later maturing player" increasing anthropometric (e.g., height: player 4 = 3.3 cm; player 5 = 13.2 cm; and player 6 = 15.7 cm) and fitness (e.g., 30-m sprint: player 4 = 20.18 s, player 5 = 20.46 s, and player 6 = 20.59 s) characteristics compared with early maturing players was confirmed. Findings affirm the potential for variable and changing trajectories in adolescent athletes. Practical implications advocate a long-term inclusive tracking approach of athletes, the avoidance of (de) selection, and the reduction of a performance emphasis in adolescent stages of sport systems.
KW - Anthropometry
KW - Coaching
KW - Maturation
KW - Physical fitness
KW - Talent identification
UR - http://www.scopus.com/inward/record.url?scp=84905997126&partnerID=8YFLogxK
U2 - 10.1519/JSC.0000000000000353
DO - 10.1519/JSC.0000000000000353
M3 - Article
C2 - 24378659
AN - SCOPUS:84905997126
SN - 1064-8011
VL - 28
SP - 1959
EP - 1970
JO - Journal of Strength and Conditioning Research
JF - Journal of Strength and Conditioning Research
IS - 7
ER -