Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Communication
  • Published:

Comparison of anthropometry to DXA: a new prediction equation for men

Abstract

Objective: This study compared three professionally recommended anthropometric body composition prediction equations for men to dual energy X-ray absorptiometry (DXA), and then developed an updated equation, DXA Criterion (DC) from DXA.

Design: Cross-sectional.

Setting: Exercise Physiology Lab. University of Missouri-Columbia, USA.

Subjects: A total of 160 men aged 18–62 y old.

Interventions: Percent body fat (%BF) by anthropometry was compared to DXA on the same day.

Results: Although %BF was significantly correlated (r=0.923–0.942) (P<0.01) with DXA for all three equations, each equation underestimated %BF (range=3.1–3.3%) (P<0.01) compared to DXA. The following DC equation for men was created: %BF=0.465+0.180(Σ7SF)−0.0002406(Σ7SF)2+0.06619(age); (Σ7SF=sum of chest, midaxillary, triceps, subscapular, abdomen, suprailiac, thigh; age=years). The predicted residual sum of squares (PRESS) R2 was high (0.90) and the PRESS standard error of estimates was excellent (2.2% at the mean) for the DC equation when applied to our sample of 160 men.

Conclusions: The currently recommended anthropometric equations for men underestimate %BF compared to DXA. The DC equation yields a more accurate estimation of %BF in men aged 18–62 y old. The results from this study support the need for the current %BF standards and norms for men to be adjusted upward.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2

Similar content being viewed by others

References

  • ACSM's Guidelines for Exercise Testing and Prescription (6th edition) (2000): Baltimore, MD Lippincott Williams & Wilkins.

  • Bakker HK & Struikenkamp RS. (1977): Biological variability and lean body mass estimates. Hum. Biol. 49 (2), 187–202.

    CAS  PubMed  Google Scholar 

  • Ball S, Swan P & Desimone R : Comparison of anthropometry compared to dual energy X-ray absorptiometry: A new generalizable equation for women. Res. Q. Exerc. Sport. in press.

  • Bland JM & Altman DG (1986): Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1 (8476), 307–310.

    Article  CAS  Google Scholar 

  • Bottaro M, Heyward V, Bezerra R & Wagner DR (2002): Skinfold method vs dual energy X-ray absorptiometry to assess body composition in normal and obese women. JEP-online 5 (2), 11–18.

    Google Scholar 

  • Brozek J, Grande F, Anderson A & Keys A (1963): Densitometric analysis of body composition: revision of some quantitative assumptions. Ann. N Y Acad. Sci. 110, 113–140.

    Article  CAS  Google Scholar 

  • Callaway C, Chumlea WC, Bouchard C, Himes JH, Lohman T, Martin A, Mitchell C, Meuller W, Roche AF & Martorell R (1988): Circumferences. In Anthropometric Standardization Reference Manual ed. Roche AF, pp. 39–54. Champaign, IL: Human Kinetics.

    Google Scholar 

  • Clark RR, Kuta JM & Sullivan JC (1993): Prediction of percent body fat in adult males using dual energy x-ray absorptiometry, skinfolds, and hydrostatic weighing. Med. Sci. Sports Exerc. 25 (4), 528–535.

    CAS  PubMed  Google Scholar 

  • Clasey JL, Kanaley JA, Wideman L, Heymsfield SB, Teates CD, Gutgesell ME, Thorner MO, Hartman ML & Weltman A (1999): Validity of methods of body composition assessment in young and older men and women. J. Appl. Physiol. 86 (5), 1728–1738.

    Article  CAS  Google Scholar 

  • Durnin JVGA & Womersley J (1974): Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16–72 years. Br. J. Nutr. 32, 77–97.

    Article  CAS  Google Scholar 

  • Going SB, Massett MP, Hall MC, Bare LA, Root PA, Williams DP & Lohman TG. (1993): Detection of small changes in body composition by dual-energy X-ray absorptiometry. Am. J. Clin. Nutr. 57 (6), 845–850.

    Article  CAS  Google Scholar 

  • Hart PD, Wilkie ME, Edwards A & Cunningham J (1993): Dual energy X-ray absorptiometry versus skinfold measurements in the assessment of total body fat in renal transplant recipients. Eur. J. Clin. Nutr. 47 (5), 347–352.

    CAS  PubMed  Google Scholar 

  • Holiday DB, Ballard JE & McKeown BC (1995): PRESS-related statistics: regression tools for cross-validation and case diagnostics. Med. Sci. Sports Exerc. 27 (4), 612–620.

    Article  CAS  Google Scholar 

  • Horber FF, Thomi F, Casez JP, Fonteille J & Jaeger P (1992): Impact of hydration status on body composition as measured by dual energy X-ray absorptiometry in normal volunteers and patients on haemodialysis. Br. J. Radiol. 65 (778), 895–900.

    Article  CAS  Google Scholar 

  • Jackson A & Pollock ML (1985): Practical assessment of body composition. Physician Sportsmed. 13, 76–90.

    Article  CAS  Google Scholar 

  • Jackson AS & Pollock ML (1976): Factor analysis and multivariate scaling of anthropometric variables for the assessment of body composition. Med. Sci. Sports Exerc. 8 (3), 196–203.

    Article  CAS  Google Scholar 

  • Jackson AS & Pollock ML (1978): Generalized equations for predicting body density of men. Br. J. Nutr. 40 (3), 497–504.

    Article  CAS  Google Scholar 

  • Jackson AS, Pollock ML & Ward A (1980): Generalized equations for predicting body density of women. Med. Sci. Sports Exerc. 12 (3), 175–181.

    Article  CAS  Google Scholar 

  • Jebb SA, Goldberg GR, Jennings G & Elia M (1995): Dual-energy X-ray absorptiometry measurements of body composition: effects of depth and tissue thickness, including comparisons with direct analysis. Clin. Sci. 88 (3), 319–324.

    Article  CAS  Google Scholar 

  • Lohman T (1992): Advances in Body Composition Assessment. Champaign, IL: Human Kinetics.

    Google Scholar 

  • Lohman TG (1981): Skinfolds and body density and their relation to body fatness: a review. Hum. Biol. 53 (2), 181–225.

    CAS  Google Scholar 

  • Lohman TG, Pollock ML, Slaughter MH, Brandon LJ & Boileau RA (1984): Methodological factors and the prediction of body fat in female athletes. Med. Sci. Sports Exerc. 16 (1), 92–96.

    Article  CAS  Google Scholar 

  • Pietrobelli A, Formica C, Wang Z & Heymsfield SB (1996): Dual-energy X-ray absorptiometry body composition model: review of physical concepts. Am. J. Physiol. 271 (6 Pt 1), E941–E951.

    CAS  PubMed  Google Scholar 

  • Pollock ML, Hickman T, Kendrick Z, Jackson A, Linnerud AC & Dawson G (1976): Prediction of body density in young and middle-aged men. J. Appl. Physiol. 40 (3), 300–304.

    Article  CAS  Google Scholar 

  • Prior BM, Cureton KJ, Modlesky CM, Evans EM, Sloniger MA, Saunders M & Lewis RD (1997): In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry. J. Appl. Physiol. 83 (2), 623–630.

    Article  CAS  Google Scholar 

  • Salamone LM, Fuerst T, Visser M, Kern M, Lang T, Dockrell M, Cauley JA, Nevitt M, Tylavsky F & Lohman TG (2000): Measurement of fat mass using DEXA: a validation study in elderly adults. J. Appl. Physiol. 89 (1), 345–352.

    Article  CAS  Google Scholar 

  • Tothill P, Avenell A, Love J & Reid DM (1994): Comparisons between Hologic, Lunar and Norland dual-energy X-ray absorptiometers and other techniques used for whole-body soft tissue measurements. Eur. J. Clin. Nutr. 48 (11), 781–794.

    CAS  Google Scholar 

  • Tylavsky FA, Lohman T, Blunt BA, Schoeller DA, Fuerst T, Cauley JA, Nevitt MC, Visser M & Harris TB (2003a): QDR 4500A DXA overestimates fat-free mass compared with criterion methods. J. Appl. Physiol. 94 (3), 959–965.

    Article  Google Scholar 

  • Tylavsky FA, Lohman TG, Dockrell M, Lang T, Schoeller DA, Wan JY, Fuerst T, Cauley JA, Nevitt M & Harris TB (2003b): Comparison of the effectiveness of 2 dual-energy X-ray absorptiometers with that of total body water and computed tomography in assessing changes in body composition during weight change. Am. J. Clin. Nutr. 77 (2), 356–363.

    Article  CAS  Google Scholar 

  • Van Der Ploeg GE, Withers RT & Laforgia J (2003): Percent body fat via DEXA: comparison with a four-compartment model. J. Appl. Physiol. 94 (2), 499–506.

    Article  Google Scholar 

  • Wagner DR & Heyward VH (1999): Techniques of body composition assessment: a review of laboratory and field methods. Res. Q. Exerc. Sport. 70 (2), 135–149.

    Article  CAS  Google Scholar 

  • Wilmore JH & Behnke AR (1970): An anthropometric estimation of body density and lean body weight in young women. Am. J. Clin. Nutr. 23 (3), 267–274.

    Article  CAS  Google Scholar 

  • Withers RT, LaForgia J, Pillans RK, Shipp NJ, Chatterton BE, Schultz CG & Leaney F (1998): Comparisons of two-, three-, and four-compartment models of body composition analysis in men and women. J. Appl. Physiol. 85 (1), 238–245.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by the University of Missouri Research Council. The authors would like to thank Laka Totton and Brianne Giles for their assistance with this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S D Ball.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ball, S., Altena, T. & Swan, P. Comparison of anthropometry to DXA: a new prediction equation for men. Eur J Clin Nutr 58, 1525–1531 (2004). https://doi.org/10.1038/sj.ejcn.1602003

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1602003

Keywords

This article is cited by

Search

Quick links