Vol. 123, No. 1 (Supplement) 2018
Supplement abstract

Comparison between dual-energy X-ray absorptiometry and anthropometric predictive equations in assessing percentage body fat in soccer players with lower limb amputation

Valentina Cavedon
Università di Verona, Dip. di Neuroscienze Biomedicina Movimento, Verona, Italia
Carlo Zancanaro
Università di Verona, Dip. di Neuroscienze Biomedicina Movimento, Verona, Italia
Chiara Milanese
Università di Verona, Dip. di Neuroscienze Biomedicina Movimento, Verona, Italia

Published 2018-12-30

Keywords

  • Anthropometry,
  • soccer,
  • amputee,
  • body composition

How to Cite

Cavedon, V., Zancanaro, C., & Milanese, C. (2018). Comparison between dual-energy X-ray absorptiometry and anthropometric predictive equations in assessing percentage body fat in soccer players with lower limb amputation. Italian Journal of Anatomy and Embryology, 123(1), 55. https://doi.org/10.13128/ijae-11353

Abstract

Anthropometric equations are an accessible and cost-effective method to assess percent- age body fat (%BF) in different athletic populations, but their reliability in athletes with limb amputation is unclear [1]. The aim of this study was to compare, in amputee soccer players, %BF estimated with several commonly used equations and dual-energy X-ray absorptiom- etry (DXA) taken as the reference method. Body density was assessed in 10 male soccer play- ers aged 33.9±11.9 years with transfemoral (n=7) or transtibial (n=3) lower limb amputation using five currently used anthropometric equations established for able-bodied subjects [Durnin and Womersley (1974), Jackson and Pollock 7-sites (1978), Sloan and Weir (1970), Wilmore and Behnke (1969), and Katch e McArdle (1973)]; body density was converted to %BF according to Siri (1961). %BF measured with DXA (Hologic) was used for assessing the validity of anthro- pometric equations (paired-sample t-test); the agreement between methods was assessed with the coefficient of determination and the standard error of estimate. Results showed that all the anthropometric equations significantly underestimate %BF (-2.7%÷-6.0 %; p, 0.012÷<0.001), but the Durnin and Womersley equation, which significantly overestimates %BF by +4.0%. The highest adjusted coefficient of determination was found for the Wilmore and Behnke equation (R2=0.805, p=0.001) and the lowest (R2=0.422, p=0.025) was found with the Durnin and Wom- ersley equation. The standard error of estimate ranged from 2.37% (Wilmore and Behnke equa- tion) to 4.08% (Durnin and Womersley equation). Further comparative studies are required to confirm or refine the accuracy of practical, non-invasive methods for monitoring %BF in the amputee athletic population. Impairment-specific equations may be needed in amputee soccer players with lower limb amputation.

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