2016
DOI: 10.1123/ijspp.2015-0244
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Validity of Skinfold-Based Measures for Tracking Changes in Body Composition in Professional Rugby League Players

Abstract: 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.

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Cited by 20 publications
(19 citation statements)
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“…The ability of the LMI to track proportional FFM change has varied in the literature, perhaps being impacted by the population under investigation. In an elite rugby league group, a higher correlation (r=0.69) was found than that in the present study (r=0.54) despite similar assessment techniques being used (Delaney et al, 2016). The unique heterogeneity of rugby union athletes based on size and ethnicity compared to their rugby league counterparts may explain the slightly lower agreement observed in the current study.…”
Section: Discussioncontrasting
confidence: 93%
See 1 more Smart Citation
“…The ability of the LMI to track proportional FFM change has varied in the literature, perhaps being impacted by the population under investigation. In an elite rugby league group, a higher correlation (r=0.69) was found than that in the present study (r=0.54) despite similar assessment techniques being used (Delaney et al, 2016). The unique heterogeneity of rugby union athletes based on size and ethnicity compared to their rugby league counterparts may explain the slightly lower agreement observed in the current study.…”
Section: Discussioncontrasting
confidence: 93%
“…As such, it is common practice for DXA to be utilised in conjunction with surface anthropometry to monitor body composition. A recent study found LMI was good at estimating DXA derived FFM changes in a relatively homogenous population of rugby league athletes (Delaney et al, 2016). However, the ability of anthropometric measures to infer absolute body composition changes in elite populations of athletes with widely varying physique traits remains relatively untested.…”
Section: Introductionmentioning
confidence: 99%
“…Similar results are obtained by Delaney et al [30]. The purpose of the authors was to determine the most effective method for quantifying changes in muscle mass in rugby athletes.…”
Section: Discussionsupporting
confidence: 74%
“…Skeletal muscle mass (SMM) is the largest component of the adipose tissue-free body mass in humans [ 5 ], essential for athletic performance. Despite many differences in training and competition specificity, available research indicates that SMM content in athletes ranges from 40% to 48% of total body mass [ 6 , 7 , 8 , 9 , 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%