1 research outputs found
Tracking within-athlete changes in whole body fat percentage in wheelchair athletes
Purpose: To evaluate
tracking of within-athlete changes in criterion measures of whole-body fat
percentage (dual energy X-ray absorptiometry; DXA) with skinfold thickness
measures (Σ
4, 6, or 8) in wheelchair basketball players. Methods: This longitudinal study tracked body composition of sixteen
international wheelchair basketball players at 5 time points over a 15-month training/competition
period. The primary outcome was DXA-derived whole-body fat percentage (BF%),
with Σ
4, 6, or 8 skinfolds (mm) as the predictor variable. Data were analysed using a
linear mixed model with restricted maximum likelihood (random intercept, with identity
covariance structure) to derive the within-athlete prediction error for
predicting criterion BF% from Σ skinfolds. This prediction error allowed us evaluate
how well a simple measure of the Σ skinfolds could track criterion changes in BF%; that
is, we derived the change in Σ skinfolds that would have to be observed in an
individual athlete to conclude that a substantial change in criterion BF% had
occurred. All data were log-transformed prior to analysis. Results: Σ 8 skinfolds were the most precise practical measure
for tracking changes in BF%. For the monitoring of an individual male
wheelchair basketball player, a change in Σ 8 skinfolds by a factor of greater than
1.28 (multiply or divide by 1.28) is associated with a practically meaningful
change in BF% (≥1 percentage point). Conclusions:
Σ 8
skinfolds can track changes in BF% within individual wheelchair athletes with reasonable
precision, providing a useful field monitoring tool in the absence of often
impractical criterion measures<br