e-space
Manchester Metropolitan University's Research Repository

Growth and Maturation in Elite Youth Soccer Players

Parr, J. (2020) Growth and Maturation in Elite Youth Soccer Players. Doctoral thesis (PhD), Manchester Metropolitan University.

[img]
File will be available on: 2 September 2023.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB)

Abstract

Soccer is the world’s most popular sport, with individuals of different standards and ages competing. The identification and development of youth soccer players with the potential to reach professional status has come more into focus over recent decades. Maturity presents a compelling paradox for young soccer players. During adolescence, individuals mature at different rates; the timing and tempo of specific maturational events can vary significantly with some individuals entering puberty well in advance or delay of their same age peers. Additionally, both physical performance parameters and match running metrics can fluctuate during this period. The aim of this thesis was to investigate longitudinally the consequences of biological maturity on various physical performance parameters and match running metrics amongst a total of 84 elite youth soccer players aged 11.3 – 18.0 years of age. Initially, two common non-invasive methods for assessing maturity status, and a simple age-based strategy were compared to determine the accuracy in differentiating youths of varying maturity status. Longitudinal research was conducted over the course of five consecutive years, on a total of 28 elite youth soccer players. The study demonstrated the utility of the percentage height window determined using the Khamis-Roche equation, with maturity status estimated through this method showing a statistically significant improvement over chance (χ 2 = 19.17), whereas Mirwald maturity offset method did not (χ 2 = 1.09). Having established the most reliable and valid method for determining maturation status in elite academy soccer players, the main and interactive effects of biological maturity and relative age upon physical performance metrics (5 m and 20 m sprint, change of direction, countermovement jump height and reactive strength index) were investigated for one competitive playing season. Maturation was associated with performance on all but one of the physical fitness tests, reactive strength index (5 m – p < 0.01; 20 m – p < 0.01; change of direction – p < 0.01; countermovement jump – p < 0.01 and reactive strength index – p > 0.05). In contrast, relative age only served as a significant predictor of fitness on the countermovement jump (5 m – p > 0.05; 20 m – p > 0.05; change of direction - p > 0.05; countermovement jump – p < 0.05 and reactive strength index – p > 0.05). The interaction between these two constructs was also tests, however showed no statistical significance. Having found that maturation effects training data, the extent to which variance in biological maturation also contributed to in-match running performance (total distance covered, distance at high speed, distance at very high speed, maximum speed and the number of accelerations made from zone 4 to zone 6) across age groups (U14s, n = 21, U15/16s, n =16) over one competitive playing season was examined. There was a suggestion that maturation does have an impact on high speed match running metrics within the U14 age group (p < 0.05), however some of this variance may be attributed to the same individuals under / over performing consistently in matches on the match running metrics. Furthermore, within the U15/16s age group, the influence of maturation on match running metrics appeared to have less of an impact. Finally, to better understand the associations between biological maturation and fitness performance, Chapter 7 aimed to identify the overall dynamics of fitness performance relative to the timing of the adolescent growth spurt in 30 elite youth soccer players measured for six consecutive years. Measured velocities for fitness performance metrics did not express themselves at the same time relative to age at peak height velocity; however, these ii fitness metrics reached a peak around the time of maximal growth in height (12 months pre- to 12 months post-peak height velocity), with peaks in performance occurring for 5 m ~ 24 months pre and 12 months pre-peak height velocity; 20 m ~ 18 months pre-peak height velocity; COD ~ 12 months pre-peak height velocity, at moment of peak height velocity and 6 months post-peak height velocity; countermovement jump ~ 6 months pre-peak height velocity and RSI at moment of peak height velocity, respectively. In all the physical performance metrics measured, physical performance continued to show improvements following peak height velocity. The overall findings of this thesis have demonstrated the effects of maturity status on match running and fitness performance in elite youth male soccer players. Being able to correctly identify the interval of the adolescent growth spurt is of use to practitioners working in this area. During adolescence, maturity had a positive influence on high speed match running, and on tests of short and long sprint time, change of direction and explosive leg power.

Impact and Reach

Statistics

Activity Overview
6 month trend
1Download
6 month trend
96Hits

Additional statistics for this dataset are available via IRStats2.

Actions (login required)

View Item View Item