Body Composition
Casey J. Metoyer, MS, CSCS, SCCC
Sport Performance Associate
University of Notre Dame
Northport, Alabama, United States
Andrew D. Fields, MS, CSCS
PhD Student/Graduate Assistant
The University of Alabama - Tuscaloosa
Tuscaloosa, Alabama, United States
Michael V. Fedewa
Assocaite Professor
University of Alabama
Birmingham, Alabama, United States
Michael R. Esco
Professor
The University of Alabama - Tuscaloosa
Tuscaloosa, Alabama, United States
Introduction: Fat-free mass (FFM) is an important body composition metric related to performance of many sports. However, most studies have primarily focused on the relationship between total body FFM and performance in adult athletes. There is a paucity of research examining the relationship between segmental FFM and performance in youth athletes.
PRACTICAL APPLICATIONS: Strength and conditioning professionals are encouraged to evaluate segmental FFM as a part of their performance testing battery, as well as optimize training protocols for developing FFM of the truncal region.
Purpose: The purpose of this study was to examine the association between the FFM of various body segments (arms, legs, and trunk), as well as total FFM, and the Pacer test performance in youth soccer players.
Methods: Young male soccer players (n=20, age=13.7±0.8 years, hheight=167.0±7.9 cm, weight= 56.2±8.4 kg, and FM=11.1±2.9 kg) participated in this study. Dual-energy x-ray absorptiometry was used to measure total (FFMtotal) and segmental FFM. The segments recorded were the FFM of the upper limbs (FFMarms), lower limbs (FFMlegs) and trunk (FFMtrunk). The Pacer test was completed on an outdoor soccer field and required participants to shuttle-run back and forth between two markers placed 20m apart. The test was terminated when the participant could no longer maintain the required pace, set by audible cues from a smartphone application, as determined by failure to reach the 20m mark on two consecutive instances. Pacer performance was recorded as the total distance completed (m) for each subject. Bivariate correlations between the FFM metrics and the Pacer were assessed using Pearson’s correlation coefficient (r). For all correlation procedures the strength of each r value will be qualitatively described as follows: 0-0.30, small; 0.30-0.50, moderate; 0.50-0.70, large; and 0.70-1.00, very large.
Results: The mean±standard deviation for the Pacer test was 74.5±14.4 m, for FFMtotal was 46.0±6.9 kg, FFMarms was 12.2±2.6 kg, FFMlegs was 37.1±5.8 kg, and FFMtrunk was 44.2±6.8 kg. Moderate positive correlations were observed between FFMtotal (r=0.66, p=0.001), FFMarms (r=0.63, p=0.003), FFMlegs (r=0.58, p=0.007) and pacer performance, whereas a large correlation was observed for FFMtrunk (r=0.71, p < 0.001). Stepwise regression analysis showed that only FFMtrunk was independently associated with Pacer performance (R2=0.51, p< 0.001). No other FFM metric significantly contributed to the model and hence, were excluded.
Conclusion: The results of this study showed that segmental FFM metrics were associated with the Pacer test performance. However, FFMtrunk yielded the strongest correlation with the Pacer test, accounting for 51% of the observed variance in Pacer test performance. Therefore, in relation to soccer performance, total and segmental FFM metrics appear to be important, especially in the region of the trunk.
Acknowledgements: None