Evaluation of Skinfold Techniques in People with Down Syndrome: Development of a New Equation

Brett S. Nickerson (), Michael R. Esco and George Schaefer
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Brett S. Nickerson: School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH 43210, USA
Michael R. Esco: Department of Kinesiology, The University of Alabama, Tuscaloosa, AL 35487, USA
George Schaefer: Department of Kinesiology, Auburn University at Montgomery, Montgomery, AL 36117, USA

IJERPH, 2023, vol. 20, issue 10, 1-9

Abstract: The primary aim of this study was to evaluate the accuracy of skinfold thickness (SFT) measurements for the estimation of %Fat when compared to dual energy X-ray absorptiometry (DXA) in individuals with Down syndrome (DS). The secondary aim was to develop a new SFT-based body fat equation (SFT NICKERSON ). SFT-based %Fat was estimated using a body fat equation from González-Agüero (SFT G-A ) and body density conversion formulas from Siri (SFT SIRI ) and Brozek (SFT BROZEK ). Criterion %Fat was measured via DXA. SFT G-A , SFT SIRI , and SFT BROZEK were significantly lower than DXA (mean differences ranged from −7.59 to −13.51%; all p < 0.001). The SEE values ranged from 3.47% (SFT BROZEK ) to 8.60% (SFT G-A ). The 95% limits of agreement were greater than ±10% for all comparisons. Mid-axilla and suprailium were significant predictors of %Fat (both p < 0.05). %Fat SFT NICKERSON = 10.323 + (0.661 × mid-axilla) + (0.712 × suprailium). Age and all other skinfold sites were not statically significant in the regression model (all p > 0.05). Current findings indicate that SFT G-A , SFT SIRI , and SFT BROZEK erroneously place an individual with excessive adiposity in a normal healthy range. Accordingly, the current study developed a new equation (SFT NICKERSON ) that can easily be administered in people with DS in a quick and efficient time frame. However, further research is warranted in this area.

Keywords: trisomy 21; body composition; adiposity; anthropometric (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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