Evaluation of the Heath-Carter Somatotype Revisited: New Bioimpedance Equations for Children and Adolescents

  • A. V. Anisimova
  • E. Z. Godina
  • D. V. Nikolaev
  • S. G. Rudnev
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 54)

Abstract

Based on the results of the cross-sectional anthropological study of 2364 Russian children and adolescents aged 7-17 years, we suggest simple prediction formulae for automated bioimpedance-based evaluation of endomorphy and mesomorphy components of the Heath-Carter somatotype: ENDOBIA = 0.5282×FMi + 0.2580×BMI - 0.04822×BM - 1.881 (r2=0.81, SEE=0.65); MESOBIA = 0.3651×FFMi + 0.42765×BMI - 0.09323×BM - 4.803 (r2=0.81, SEE=0.54), where BMI, FMi and FFMi are, respectively, the body mass, fat mass and fatfree mass indices (kg/m2), and BM is the body mass (kg). In addition, in order to avoid using indirect bioimpedance body composition estimates, alternative formulae are constructed based only on directly measured rather than estimated bioimpedance data: ENDOBIA = -3224.7/R + 0.63867×BMI - 0.04162×BM - 2.195 (r2=0.81, SEE=0.65); MESOBIA = 2195.4/R + 0.52966×BMI - 0.09740×BM - 4.5522 (r2=0.81, SEE=0.54), where R is the whole-body electrical resistance (Ohm) at a frequency of 50 kHz. These formulae can be used for the specified age range regardless of sex and, due to relatively high proportion of the explained variance, are suitable for individual typology.

Keywords

Somatotype Heath-Carter typology bioelectrical impedance analysis the whole-body electrical resistance fat mass index fat-free mass index prediction formulae 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • A. V. Anisimova
    • 1
  • E. Z. Godina
    • 1
  • D. V. Nikolaev
    • 2
    • 4
  • S. G. Rudnev
    • 3
    • 4
  1. 1.Institute and Museum of AnthropologyMoscow State UniversityMoscowRussia
  2. 2.Scientific Research Centre ‘Medas’MoscowRussia
  3. 3.Institute of Numerical MathematicsRussian Academy of SciencesMoscowRussia
  4. 4.Central Research Institute for Health Organization and InformaticsMoscowRussia

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