Skip to main content
Log in

Comparison of body fat-free masses calculated from hand-to-foot and foot-to-foot resistances with DXA measurements

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

This article compares the determination of body fat-free-mass (FFM) by impedance, using either hand-to-foot resistance (R13) or foot-to-foot one (R34) from comparison with dual X-ray absorptiometry (DXA) measurements in a normal population. The first goal was to see if the foot-to-foot resistance used in body fat analysers provides less accurate information for body FFM than the hand-to-foot one used by medical impedance-meters. Another goal was to compare the prediction accuracy of six different regression equations of FFM for each sex and for each resistance relatively to DXA. The impedancemeter used in this study was a Tefal prototype with 4 plantar electrodes and 4 additional electrodes for the hands and providing hand-to-foot and foot-to-foot resistances. Coefficients of these correlations were determined by comparison with FFM measured by DXA in a 1st cohort of 170 healthy adults. For an independent validation, these equations were tested in a 2nd cohort of 86 adults who underwent the same impedance and DXA protocols, using Student’s paired t-tests. The accuracy of FFM prediction increased generally with the number of physiologic parameters included in the regression, but none of our equations gave FFM predictions significantly different from DXA. FFM calculated from the foot-to-foot resistance were closer to DXA values than those calculated from hand-to-foot resistance, as their average P-value of comparison with DXA was higher at 0.695 against 0.387 for R13.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

BIS:

Bioimpedance spectroscopy

BMI:

Body mass index (kg m−2)

DXA:

Dual X-ray absorptiometry

FFI:

Foot-to-foot impedancemeter

FFM:

Fat-free mass

FM:

Fat tissue mass

SD:

Standard deviation

H:

Subject height (m)

R13 :

Hand-to-foot resistance (Ω)

R34 :

Foot-to-foot resistance (Ω)

W:

Body weight (kg)

X:

Reactance (Ω)

d:

DXA

i:

Impedance

References

  1. Bland JM, Altman DG (2000) Measuring agreement in method comparison studies. Stat Method Med Res 8:135–160

    Article  Google Scholar 

  2. Boulier A, Chumlea WC, De Lorenzo A, Deurenberg P, Guo SS, Leger L, Schutz Y (2005) Body composition estimation using leg-to-leg bioelectrical impedance: a six-site international cross validation study. Int J Body Composition Res 3:31–39

    Google Scholar 

  3. Buchholz AC, Bartok C, Schoeller DA (2004) The validity of bioelectrical impedance models in clinical populations. Nutr Clin Pract 19:433–446

    Article  PubMed  Google Scholar 

  4. De Lorenzo A, Andreoli A, Matthie JR, Withers P (1997) Predicting body cell mass with bio-impedance by using theoretical methods: a technological review. J Appl Physiol 82:1542–1558

    PubMed  Google Scholar 

  5. Gibson AL, Holmes JC, Desautels RL, Edmonds LB, Nuudi L (2008) Ability of new octapolar bioimpedance spectroscopy analysers to predict 4-component-model percentage body fat in Hispanic, black and white adults. Am J Clin Nut 87:332–338

    CAS  Google Scholar 

  6. Jaffrin MY, Morel H (2009) Measurements of body composition in limbs and trunk using a eight contact electrodes impedancemeter. Med Eng Phys 31:1079–1086

    Article  PubMed  Google Scholar 

  7. Jaffrin MY, Morel H (2009) Extracellular volume measurements using bioimpedance spectro-scopy-Hanai method and wrist-ankle resistance at 50 kHz. Med Biol Eng Comput 47(1):77–84 PMID: 18797950

    Article  PubMed  Google Scholar 

  8. Jaffrin MY, Kieffer R, Moreno MV (2005) Evaluation of a foot-to-foot impedance meter measuring extracellular fluid volume in addition to fat-free mass and fat tissue mass. Nutrition 21:815–824

    Article  PubMed  Google Scholar 

  9. Jaffrin MY, Fenech M, Moreno MV, Kieffer R (2006) Total body water measurement by a modification of the bioimpedance spectroscopy method. Med Biol Eng Comput 44:873–882

    Article  PubMed  Google Scholar 

  10. Kyle UG, Genton L, Karsegard L, Slosman DO, Pichard C (2001) Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years. Nutrition 17:248–253

    Article  PubMed  CAS  Google Scholar 

  11. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P et al (2004) Bioelectrical impedance analysis-part I: review of principles and methods. Clin Nutr 23:1226–1243

    Article  PubMed  Google Scholar 

  12. Lukaski HC, Siders WA (2003) Validity and accuracy of regional bioelectrical impedance devices to determine whole-body fatness. Nutrition 19:851–857

    Article  PubMed  Google Scholar 

  13. Medrano G, Eitner F, Walter M, Leonhardt S (2010) Model-based correction of the influence of body position on continuous segmental and hand-to-foot bioimpedance measurements. Med Biol Eng Comput 48:531–541 PMID: 20405231

    Article  PubMed  Google Scholar 

  14. Neovius M, Udden J, Hemmingsson E (2007) Assessment of change in body fat percentage with DXA and eight-electrode BIA in centrally obese women. Med Sci Sports Exerc 39:2199–2203

    Article  PubMed  Google Scholar 

  15. Nunez C, Gallagher D, Visser M, Pi-Sunyer FX, Wang Z, Heymsfield SB (1997) Bioimpedance analysis: evaluation of leg-to-leg system based on pressure contact foot-pad electrodes. Med Sci Sports Exerc 29:524–531

    Article  PubMed  CAS  Google Scholar 

  16. Organ LW, Bradham GB, Gore DT et al (1994) Segmental bioelectrical impedance analysis: theory and application of a new technique. J Appl Physiol 77:98–112

    PubMed  CAS  Google Scholar 

  17. Sun SS, Chumlea WC, Heymsfield SB, Lukaski HC et al (2003) Development of bioelelctrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Clin Nutr 77:331–340

    PubMed  CAS  Google Scholar 

  18. Utter AC, Nieman DC, Ward AN, Butterworth DE (1999) Use of leg-to-leg bioelectrical impedance method in assessing body-composition change in obese women. Am J Clin Nutr 6:603–607

    Article  Google Scholar 

  19. Wotton MJ, Thomas BJ, Cornish BH, Ward LC (2000) Comparison of whole body and segmental bioimpedance methodologies for estimating total body water. Ann NY Acad Sci 904:181–186

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the cooperation of the Centre d’Imagerie Médicale Avancée (CIMA) of Compiègne for DXA measurements and the supply of a prototype impedance-meter by Tefal SAS.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michel Y. Jaffrin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bousbiat, S., Jaffrin, M.Y. & Dongmo, E. Comparison of body fat-free masses calculated from hand-to-foot and foot-to-foot resistances with DXA measurements. Med Biol Eng Comput 49, 1329–1336 (2011). https://doi.org/10.1007/s11517-011-0827-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-011-0827-y

Keywords

Navigation