High levels of lean mass are important in collision-based sports for the development of strength and power, which may also assist during contact situations. While skinfold-based measures have been shown to be appropriate for cross-sectional assessments of body composition, their utility in tracking changes in lean mass is less clear.
To determine the most effective method of quantifying changes in lean mass in rugby league athletes.
Body composition of 21 professional rugby league players was assessed on 2 or 3 occasions separated by ≥6 wk, including bioelectrical impedance analysis (BIA), leanmass index (LMI), and a skinfold-based prediction equation (SkF). Dual-X-ray absorptiometry provided a criterion measure of fat-free mass (FFM). Correlation coefficients (r) and standard errors of the estimate (SEE) were used as measures of validity for the estimates.
All 3 practical estimates exhibited strong validity for cross-sectional assessments of FFM (r > .9, P < .001). The correlation between change scores was stronger for the LMI (r = .69, SEE 1.3 kg) and the SkF method (r = .66, SEE = 1.4 kg) than for BIA (r = .50, SEE = 1.6 kg).
The LMI is probably as accurate in predicting changes in FFM as SkF and very likely to be more appropriate than BIA. The LMI offers an adequate, practical alternative for assessing in FFM among rugby league athletes.
Delaney, Thornton, Scott, and Dascombe are with the Applied Sport Science and Exercise Testing Laboratory, University of Newcastle, Ourimbah, NSW, Australia. Ballard is with Newcastle Knights Rugby League Club, Mayfield, NSW, Australia. Duthie is with the College of Exercise and Sports Science, ISEAL, Victoria University, Melbourne, VIC, Australia. Wood is with the Dept of Respiratory and Sleep Medicine, John Hunter Hospital, Newcastle, NSW, Australia.