scholarly journals Tracking Within-Athlete Changes in Whole-Body Fat Percentage in Wheelchair Athletes

2021 ◽  
Vol 16 (1) ◽  
pp. 13-18
Author(s):  
Victoria L. Goosey-Tolfrey ◽  
Julia O. Totosy de Zepetnek ◽  
Mhairi Keil ◽  
Katherine Brooke-Wavell ◽  
Alan M. Batterham

Purpose: To evaluate the tracking of within-athlete changes in criterion measures of whole-body fat percentage (BF%; dual-energy X-ray absorptiometry) with skinfold thickness (Σ 4, 6, or 8) in wheelchair basketball players. Methods: Dual-energy X-ray absorptiometry-derived whole BF% and Σ 4, 6, or 8 skinfolds were obtained at 5 time points over 15 months (N = 16). 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 was used. This prediction error allowed us to evaluate how well a simple measure of the Σ skinfolds could track criterion changes in BF %; that is, the authors 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. Data were log-transformed prior to analysis. Results: The Σ 8 skinfolds was the most precise practical measure for tracking changes in BF%. For the monitoring of an individual 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: The Σ 8 skinfolds can track changes in BF% within individuals with reasonable precision, providing a useful field monitoring tool in the absence of often impractical criterion measures.

2016 ◽  
Vol 48 ◽  
pp. 353
Author(s):  
Mary S. Tuttle ◽  
Whitney A. Welch ◽  
Ann M. Swartz ◽  
Alexander H.K. Montoye ◽  
Matthew Harber ◽  
...  

2016 ◽  
Vol 33 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Michael R. Esco ◽  
Brett S. Nickerson ◽  
Sara C. Bicard ◽  
Angela R. Russell ◽  
Phillip A. Bishop

The purpose of this investigation was to evaluate measurements of body-fat percentage (BF%) in 4 body-mass-index- (BMI) -based equations and dual-energy X-ray absorptiometry (DXA) in individuals with Down syndrome (DS). Ten male and 10 female adults with DS volunteered for this study. Four regression equations for estimating BF% based on BMI previously developed by Deurenberg et al. (DEBMI-BF%), Gallagher et al. (GABMI-BF%), Womersley & Durnin (WOBMI-BF%), and Jackson et al. (JABMI-BF%) were compared with DXA. There was no significant difference (p = .659) in mean BF% values between JABMI-BF% (BF% = 40.80% ± 6.3%) and DXA (39.90% ± 11.1%), while DEBMI-BF% (34.40% ± 9.0%), WOBMI-BF% (35.10% ± 9.4%), and GABMI-BF% (35.10% ± 9.4%) were significantly (p < .001) lower. The limits of agreement (1.96 SD of the constant error) varied from 9.80% to 16.20%. Therefore, BMI-based BF% equations should not be used in individuals with DS.


2009 ◽  
Vol 6 (5) ◽  
pp. 41-45 ◽  
Author(s):  
Nobuyuki Miyatake ◽  
Motohiko Miyachi ◽  
Izumi Tabata ◽  
Takeyuki Numata

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