Validity of skinfold-based measures for tracking changes in body composition in professional rugby league players

Journal article


Delaney, Jace A., Thornton, Heidi R., Scott, Tannath J., Ballard, David A., Duthie, Grant M., Wood, Lisa G. and Dascombe, Ben J.. (2016) Validity of skinfold-based measures for tracking changes in body composition in professional rugby league players. International Journal of Sports Physiology and Performance. 11(2), pp. 261 - 266. https://doi.org/10.1123/ijspp.2015-0244
AuthorsDelaney, Jace A., Thornton, Heidi R., Scott, Tannath J., Ballard, David A., Duthie, Grant M., Wood, Lisa G. and Dascombe, Ben J.
Abstract

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. Purpose: To determine the most effective method of quantifying changes in lean mass in rugby league athletes. Methods: 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. Results: 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). Conclusions: 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.

Keywordsteam sports; DXA; muscle; fat; bone
Year2016
JournalInternational Journal of Sports Physiology and Performance
Journal citation11 (2), pp. 261 - 266
PublisherHuman Kinetics Publishers Inc.
ISSN1555-0265
Digital Object Identifier (DOI)https://doi.org/10.1123/ijspp.2015-0244
Scopus EID2-s2.0-84960910869
Page range261 - 266
Research GroupSports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre
Place of publicationUnited States
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