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The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations

European Journal of Clinical Nutrition volume 55, pages 973–979 (2001)Cite this article

Abstract

Objectives: To test and compare the validity of a body mass index (BMI)-based prediction equation and an impedance-based prediction equation for body fat percentage among various European population groups.

Design: Cross-sectional observational study.

Settings: The study was performed in five different European centres: Maastricht and Wageningen (The Netherlands), Milan and Rome (Italy) and Tampere (Finland), where body composition studies are routinely performed.

Subjects: A total of 234 females and 182 males, aged 18–70 y, BMI 17.0–41.9 kg/m2.

Methods: The reference method for body fat percentage (BF%REF) was either dual-energy X-ray absorptiometry (DXA) or densitometry (underwater weighing). Body fat percentage (BF%) was also predicted from BMI, age and sex (BF%BMI) or with a hand-held impedance analyser that uses in addition to arm impedance weight, height, age and sex as predictors (BF%IMP).

Results: The overall mean (±s.e.) bias (measured minus predicted) for BF%BMI was 0.2±0.3 (NS) and−0.7±0.3 (NS) in females and males, respectively. The bias of BF%IMP was 0.2±0.2 (NS) and 1.0±0.4 (P<0.01) for females and males, respectively. There were significant differences in biases among the centres. The biases were correlated with level of BF% and with age. After correction for differences in age and BF% between the centres the bias of BF%BMI was not significantly different from zero in each centre and was not different among the centres anymore. The bias of BF%IMP decreased after correction and was significant from zero and significant from the other centres only in males from Tampere. Generally, individual biases can be high, leading to a considerably misclassification of obesity. The individual misclassification was generally higher with the BMI-based prediction.

Conclusions: The prediction formulas give generally good estimates of BF% on a group level in the five population samples, except for the males from Tampere. More comparative studies should be conducted to get better insight in the generalisation of prediction methods and formulas. Individual results and classifications have to be interpreted with caution.

European Journal of Clinical Nutrition (2001) 55, 973–979

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References

  • Baumgartner RN, Chumlea WC & Roche AF (1989) Estimation of body composition from bioelectrical impedance of body segments Am. J. Clin. Nutr. 50 221–226

    Article  CAS  Google Scholar 

  • Bland JM & Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurements Lancet i 307–310

    Article  Google Scholar 

  • Deurenberg P (1992) The assessment of body composition: uses and misuses. Annual Report Lausanne: Nestlé Foundation

  • Deurenberg P & Deurenberg-Yap M (2001) Validation of skinfold thickness and hand-held impedance measurements for estimation of body fat percentage among Singaporean Chinese, Malays and Indians Asia Pacific J. Clin. Nutr. (in press).

  • Deurenberg P, Weststrate JA & Seidell JC (1991) Body mass index as a measure of body fatness: age and sex specific prediction formulas Br. J. Nutr. 65 105–114

    Article  CAS  Google Scholar 

  • Deurenberg P, Westerterp KR & te Wierik E (1994) Between-laboratory comparison of densitometry and bio-electrical impedance measurements Br. J. Nutr. 71 309–316

    Article  CAS  Google Scholar 

  • Deurenberg P, Yap M & Van Staveren WA (1998) Body mass index and percent body fat: a meta analysis among different ethnic groups Int. J. Obes. Relat. Metab. Disord. 22 1164–1171

    Article  CAS  Google Scholar 

  • Deurenberg P, Deurenberg-Yap M, Wang J, Lin Fu Po & Schmidt G (1999) The impact of body build on the relationship between body mass index and body fat percent. Int. J. Obes. Relat. Metab. Disord. 23 537–542

    Article  CAS  Google Scholar 

  • Deurenberg-Yap M, Schmidt G, Staveren WA & Deurenberg P (2000) The paradox of low body mass index and high body fat percent among Chinese, Malays and Indians in Singapore Int. J. Obes. Relat. Metab. Disord. 24 1011–1017

    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 17 to 72 y Br. J. Nutr. 32 77–97

    Article  Google Scholar 

  • Eveleth PB & Tanner JM (1976) World-wide Variation in Human Growth. Cambridge: Cambridge University Press

  • Fogelholm M, Kukkonen-Harjula K, Sievänen H, Oja P & Vuori I (1996) Body composition assessment in lean and normal-weight young women Br. J. Nutr. 75 793–802

    Article  CAS  Google Scholar 

  • Fuller NJ & Elia M (1989) Potential use of bioelectrical impedance of the ‘whole body’ and of body segments for the assessment of body composition: comparison with densitometry and anthropometry Eur. J. Clin. Nutr. 43 779–791

    PubMed  Google Scholar 

  • Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T & Heymsfield SB (1996) How useful is BMI for comparison of body fatness across age, sex and ethnic groups Am. J. Epidemiol. 143 228–239

    Article  CAS  Google Scholar 

  • Going SB (1996) Densitometry In Human Body Composition, eds. AF Roche, SB Heymsfield & TG Lohman. Champaign, IL: Human Kinetics

    Google Scholar 

  • Jansen DF, Korbijn CM & Deurenberg P (1992) Variability of body density and body impedance at different frequencies Eur. J. Clin. Nutr. 46 865–871

    CAS  PubMed  Google Scholar 

  • Jebb SA & Elia M (1993) Techniques for the measurement of body composition: a practical guide Int. J. Obes. Relat. Metab. Disord. 17 611–621

    PubMed  Google Scholar 

  • Jebb SA, Cole TJ, Doman D, Murgatroyd PR & Prentice AM (2000) Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model Br. J. Nutr. 83 115–122

    Article  CAS  Google Scholar 

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

  • Loy SF, Likes EA, Andrews PM, Vincent WJ, Holland HJ, Kawai H, Cen S, Swenberger J, van Loan M, Tanaka K, Heyward V, Stolarczyk L, Lohman TG & Going SB (1998) Easy grip on body composition measurements ACSM's Health Fitness J. 2 16–19

    Google Scholar 

  • Lukaski HC (1987) Methods for the assessment of body composition: traditional and new Am. J. Clin. Nutr. 46 437–456

    Article  Google Scholar 

  • Lukaski HC, Johnson PE, Bolonchuck WW & Lykken GE (1985) Assessment of fat free mass using bioelectrical impedance measurements of the human body Am. J. Clin. Nutr. 41 810–817

    Article  CAS  Google Scholar 

  • Luke A, Durazo-Arvizzu R, Rotimi C, Prewitt E, Forrester T, Wilks R, Ogunbiyi OL, Schoeller DA, McGee D & Cooper RS (1997) Relation between BMI and body fat in black population samples from Nigeria, Jamaica and the United States Am. J. Epidemiol. 145 620–628

    Article  CAS  Google Scholar 

  • Motley HL (1957) Comparison of simple helium dilution with the oxygen open-circuit method for measuring residual air Am. Rev. Tuberc. Pulmon. Dis. 76 701–715

    Google Scholar 

  • NIH (1994) Bioelectrical impedance analysis in body composition measurement. NIH Technology Assessment Statement, December 12–14 pp 1–35

  • Norgan NG (1995) The assessment of the body composition of populations In Body Composition Techniques in Health and Disease, eds PSW Davies, TJ Cole. Cambridge: Cambridge University Press

    Google Scholar 

  • Nunez C, Gallagher D, Visser M, Pi-Sunyer FX, Wang ZM & 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  CAS  Google Scholar 

  • Paton N, Macallan D, Jebb S, Pazianas M & Griffin G (1995) Dual energy X-rays absorptiometry results differ between machines Lancet 346, 899–900

    Article  Google Scholar 

  • Schrauwen P, van Marken Lichtenbelt WD, Saris WHM & Westerterp KR (1997) Changes in fat oxidation in response to a high-fat diet Am. J. Clin. Nutr. 66 276–282

    Article  CAS  Google Scholar 

  • Siri WE (1961) Body composition from fluid spaces and density: analysis of methods In Techniques for Measuring Body Composition, eds. J Brozek & A Henschels pp 223–244 Washington DC: National Academy of Sciences

    Google Scholar 

  • Snijder MB, Kuyf BEM & Deurenberg P (1999) The effects of body build on the validity of predicted body fat from body mass index and bioelectrical impedance Ann. Nutr. Metab. 43 277–285

    Article  CAS  Google Scholar 

  • SPSS/Windows V10.0.0. Chicago (1999) IL: SPSS Publishing

  • Swinburn BA, Craig PL, Daniel R, Dent DPD & Strauss BJG (1996) Body composition differences between Polynesians and Caucasians assessed by bioelectrical impedance Int. J. Obes. Relat. Metab. Disord. 20 889–894

    CAS  PubMed  Google Scholar 

  • Wang J, Thornton JC, Russell M, Burastero S, Heymsfield SB & Pierson RN (1994) Asians have lower BMI (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements Am. J. Clin. Nutr. 60 23–28

    Article  CAS  Google Scholar 

  • Werkman A, Deurenberg-Yap M, Schmidt G & Deurenberg P (2000) A comparison between the composition and density of the fat-free mass of young adult Singaporean Chinese and Dutch Caucasian Ann. Nutr. Metab. 44 235–242

    Article  CAS  Google Scholar 

  • WHO (1995) Physical status: the use and interpretation of anthropometry. Technical Report Series no. 854. Geneva: WHO

  • WHO (1998) Obesity: preventing and managing the global epidemic. Report on a WHO Consultation on Obesity, Geneva, 3–5 June, 1997. WHO/NUT/NCD/98.1. Geneva: WHO

  • Wilmore JH (1969) A simplified method for determination of residual lung volumes J. Appl. Physiol. 27 96–100

    Article  CAS  Google Scholar 

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Acknowledgements

The help of Ulla Hakala (Tampere), Kirsi Mansikkamäki (Tampere), Brenda Kuyf (Wageningen) and Marieke Snijder (Wageningen) in the practical measurements is greatly appreciated. The study was granted in part by OMRON Life Sciences, Kyoto, Japan.

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Author notes

  1. P Deurenberg: Guarantor: P Deurenberg.

  2. P Deurenberg: Contributors: All contributors were involved in data collecting. PD conducted statistical analyses and wrote the draft paper. All authors contributed to the final version.

Authors and Affiliations

  1. Department of Nutrition and Epidemiology, Wageningen University, Wageningen, The Netherlands

    P Deurenberg

  2. Department of Human Physiology, Human Nutrition Unit, University Tor Vergata, Rome, Italy

    P Deurenberg, A Andreoli & A de Lorenzo

  3. UKK Institute for Health Promotion Research, Tampere, Finland

    P Borg & K Kukkonen-Harjula

  4. Department of Human Biology, University of Maastricht, The Netherlands

    WD van Marken Lichtenbelt & N Vollaard

  5. Department of Food Science and Microbiology, The International Centre for the Assessment of Body Composition, University of Milan, Italy

    G Testolin & R Vigano

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  1. P Deurenberg
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  2. A Andreoli
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Correspondence to P Deurenberg.

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Deurenberg, P., Andreoli, A., Borg, P. et al. The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr 55, 973–979 (2001). https://doi.org/10.1038/sj.ejcn.1601254

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