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Body composition, energy expenditure and physical activity

Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men

Abstract

Background/Objectives:

Bioelectrical impedance analysis (BIA) is one of the most affordable and feasible body composition assessment techniques for clinical and field settings. However, it is important to use an equation appropriate for the study population. This study aimed to propose and validate prediction equations to estimate body composition using BIA for Indonesian men.

Subjects/Methods:

Total body water (TBW), fat-free mass (FFM) and fat mass (FM) were determined using the deuterium dilution technique in 292 Indonesian males. Participants were divided equally into development and validation groups to develop prediction equations and to cross-validate the proposed prediction equations, respectively. In addition, selected prediction equations using BIA were cross-validated.

Results:

The proposed BIA equations were valid in our cross-validation samples. The best performance equations obtained from the absolute measure of body composition (TBW, FFM and FM) showed that r ranged between 0.89 and 0.91 and standard error of the estimate=1.8–2.6 kg. Cross-validation analysis indicated that the proposed equations had a bias of 0.1–0.3 kg, pure error of 1.3–1.8 kg and limits of agreement (mean difference±1.96 s.d.) of −0.26 to 0.13±4.09 to 5.59 kg. Among existing prediction equations examined, those by Deurenberg et al. (1989) and Lukaski et al. (1987) significantly overestimated FM by 4.0 and 3.2 kg, respectively, whereas the equation by Deurenberg et al. (1991) significantly (P<0.001) underestimated FFM by 5.0 kg compared with the reference FFM.

Conclusions:

The new BIA prediction equations may provide more precise and accurate estimation of body composition in Indonesian men than the existing equations.

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References

  1. Thibault R, Genton L, Pichard C . Body composition: why, when and for who? Clin Nutr 2012; 31: 435–447.

    Article  Google Scholar 

  2. Ministry of Health Republic of Indonesia Riset Kesehatan Dasar Republik Indonesia 2013.

  3. Going S . Hydrodensitometry and air displacement plethysmography. In: Heymsfield SB, Lohman TG, Wang Z, Going SB (eds). Human Body Composition. Human Kinetics: Champaign, IL, USA, 2005, pp 17–34.

    Google Scholar 

  4. Schoeller D . Hydrometry. In: Heymsfield SB, Lohman TG, Wang Z, Going SB (eds). Human Body Composition. Human Kinetics: Champaign, IL, USA, 2005, pp 35–50.

    Google Scholar 

  5. Lohman T, Chen Z . Dual-energy X-ray absoptiometry. In: Heymsfield SB, Lohman TG, Wang Z, Going SB (eds). Human Body Composition. Human Kinetics: Champaign, IL, USA, 2005, pp 63–78.

    Google Scholar 

  6. Ross R, Janssen I . Computed tomography and magnetic resonance imaging. In: Heymsfield SB, Lohman TG, Wang Z, Going SB (eds). Human Body Composition. Human Kinetics: Champaign, IL, USA, 2005, pp 89–108.

    Google Scholar 

  7. Norgan N . Laboratory and field measurements of body composition. Publ Health Nutr 2005; 8: 1108–1122.

    Article  CAS  Google Scholar 

  8. Heyward V, Wagner D . Applied Body Composition Assessment. Human Kinetics: Champaign, IL, USA, 2004.

    Google Scholar 

  9. Deurenberg P, Deurenberg-Yap M, Wang J, Lin FP, Schmidt G . Prediction of percentage body fat from anthropometry and bioelectrical impedance in Singaporean and Beijing Chinese. Asia Pac J Clin Nutr 2000; 9: 93–98.

    Article  CAS  Google Scholar 

  10. Deurenberg-Yap M, Deurenberg P . Bioelectrical impedance: from theories to applications. Mal J Nutr 2001; 7: 67–74.

    Google Scholar 

  11. Böhm A, Heitmann BL . The use of bioelectrical impedance analysis for body composition in epidemiological studies. Eur J Clin Nutr 2013; 67: S79–S85.

    Article  Google Scholar 

  12. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Manuel Gomez J et al. Bioelectrical impedance analysis-part II: utilization in clinical practice. Clin Nutr 2004; 23: 1430–1053.

    Article  Google Scholar 

  13. Dehghan M, Merchant AT . Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J 2008; 7: 26.

    Article  Google Scholar 

  14. Aglago KE, Menchawy IE, Kari KE, Hamdouchi AE, Barkat A, Bengueddour R et al. Development and validation of bioelectrical impedance analysis equations for predicting total body water and fat-free mass in North-African adults. Eur J Clin Nutr 2013; 67: 1081–1086.

    Article  CAS  Google Scholar 

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

    Article  Google Scholar 

  16. Macias N, Aleman-Mateo H, Esparza-Romero J, Valencia ME . Body fat measurement by bioelectrical impedance and air displacement plethysmography: a cross-validation study to design bioelectrical impedance equations in Mexican adults. Nutr J 2007; 6: 18.

    Article  Google Scholar 

  17. Martinoli R, Mohamed EI, Maiolo C, Cianci R, Denoth F, Salvadori S et al. Total body water estimation using bioelectrical impedance: a meta-analysis of the data available in the literature. Acta Diabetol 2003; 40: S203–S206.

    Article  Google Scholar 

  18. Phillips SM, Bandini LG, Compton DV, Naumova EN, Must A . A longitudinal comparison of body composition by total body water and bioelectrical impedance in adolescent girls. J Nutr 2003; 133: 1419–1425.

    Article  CAS  Google Scholar 

  19. Sun SS, Chumlea WC, Heymsfield SB, Lukaski HC, Schoeller D, Friedl K et al. Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Clin Nutr 2003; 77: 331–340.

    Article  CAS  Google Scholar 

  20. Chumlea W, Sun S . Bioelectrical impedance analysis. In: Heymsfield S, Lohman T, Wang Z, Going S (eds). Human Body Composition. Human Kinetics: Champaign, IL, USA, 2005, pp 79–88.

    Google Scholar 

  21. Küpper J, Bartz M, Schultink JW, Lukito W, Deurenberg P . Measurements of body fat in Indonesian adults: comparison between a three-compartment model and widely used methods. Asia Pac J Clin Nutr 1998; 7: 49–54.

    PubMed  Google Scholar 

  22. International Society for the Advancement of Kinanthropometry International Standards for Anthropometric Assessment. ISAK: Canberra, Australia, 2006.

  23. Hastuti J, Kagawa M, Byrne NM, Hills AP . Development and validation of anthropometric prediction equations for estimation of body fat in Indonesian men. Asia Pac J Clin Nutr 2013; 22: 522–529.

    PubMed  Google Scholar 

  24. International Atomic Energy Agency Human Health Series No 3 Assessment of Body Composition and Total Energy Expenditure in Human Using Stable Isotope Techniques. International Atomic Energy Agency: Vienna, Austria, 2009.

  25. Pace N, Rathbun EN . Studies on body composition, III. The body water and chemically combined nitrogen content in relation to fat content. J Biol Chem 1945; 158: 685–691.

    CAS  Google Scholar 

  26. Liu A, Byrne NM, Ma G, Nasreddine L, Trinidad TP, Kijboonchoo K, Hills AP . Validation of bioelectrical impedance analysis for total body water assessment against the deuterium dilution technique in Asian children. Eur J Clin Nutr 2011; 65: 1321–1327.

    Article  CAS  Google Scholar 

  27. Morel H, Jaffrin MY . A bridge from bioimpedance spectroscopy to 50 kHz bioimpedance analysis: application to total body water measurements. Physiol Meas 2008; 29: S465–S478.

    Article  CAS  Google Scholar 

  28. Tabachnick BG, Fidell LS . Using Multivariate Statistics. Pearson/Allyn & Bacon: Boston, MA, USA, 2007.

    Google Scholar 

  29. Bland JM, Altman DG . Statistical methods for assessing agreement between two methods of clinical measurement. Int J Nurs Stud 2010; 47: 931–936.

    Article  Google Scholar 

  30. Deurenberg P, Weststrate JA, van der Kooy K . Body composition changes assessed by bioelectrical impedance measurements. Am J Clin Nutr 1989; 49: 401–403.

    Article  CAS  Google Scholar 

  31. Deurenberg P, van der Kooy K, Leenen R, Weststrate JA, Seidell JC . Sex and age specific prediction formulas for estimating body composition from bioelectrical impedance: a cross-validation study. Int J Obes Relat Metab Disord 1991; 15: 17–25.

    CAS  Google Scholar 

  32. Lukaski HC, Bolonchuk WW . Theory and Validation of the Tetrapolar Bioelectrical Impedance Method to Assess Human Body Composition. In: Ellis KJ, Yasumura S, Morgan WD (eds), International Symposium on In Vivo Body Composition Studies. Proceedings of an International Symposium held at Brookhaven National Laboratory, New York on September 28–1 October 1986. London: Institute of Physical Sciences in Medicine, 1987.

    Google Scholar 

  33. Dierkes J, Schultink JW, Gross R, Praestowo SMB, Pietrzik K . Body composition of Indonesian adults assessed by skinfold thickness and bioelectrical impedance measurements and by a body mass index equation. Asia Pac J Clin Nutr 1993; 2: 171–175.

    CAS  PubMed  Google Scholar 

  34. Dioum A, Gartner A, Cisse AS, Delpeuch F, Maire B, Wade S et al. Validity of impedance-based equations for the prediction of total body water as measured by deuterium dilution in African women. Asia Pac J Clin Nutr 2005; 81: 597–604.

    CAS  Google Scholar 

  35. Ramírez E, Valencia M, Moya-Camarena S, Alemán-Mateo H, Méndez R . Four-compartment model and validation of deuterium dilution technique to estimate fat-free mass in Mexican youth. Nutrition 2009; 25: 194–199.

    Article  Google Scholar 

  36. Ritz P, Vol S, Berrut G, Tack I, Arnaud MJ, Tichet J . Influence of gender and body composition on hydration and body water spaces. Clin Nutr 2008; 27: 740–746.

    Article  CAS  Google Scholar 

  37. Ellis KJ, Bell SJ, Chertow GM, Chumlea WC, Knox TA, Kotler DP et al. Bioelectrical impedance methods in clinical research: a follow-up to the NIH Technology Assessment Conference. Nutrition 1999; 15: 874–880.

    Article  CAS  Google Scholar 

  38. Deurenberg P, Deurenberg-Yap M . Validation of skinfold thickness and hand-held impedance measurements for estimation of body fat percentage among Singaporean Chinese, Malay, and Indian subjects. Asia Pac J Clin Nutr 2002; 11: 1–7.

    Article  Google Scholar 

  39. Bartz M, Küpper J, Schultink W, Lukito W, Deurenberg P . Validation of predicted total body water and extra cellular water by multi-frequency impedance in young Indonesian adults. Annu Nutr Metab 1998; 42: 119–126.

    Article  CAS  Google Scholar 

  40. Gurrici S, Hartriyanti Y, Hautvast JGAJ, Deurenberg P . Prediction of extracellular water and total body water by multifrequency bio-electrical impedance in a Southeast Asian population. Asia Pac J Clin Nutr 1999; 8: 155–159.

    Article  Google Scholar 

  41. Deurenberg P, Deurenberg-Yap M . Differences in body-composition assumptions across ethnic groups: practical consequences. Curr Opinion Clin Nutr Metab Care 2001; 4: 377–383.

    Article  CAS  Google Scholar 

  42. Gurrici S, Hartriyanti Y, Hautvast JGAJ, Deurenberg P . Differences in the relationship between body fat and body mass index between two different Indonesian ethnic groups: the effect of body build. Eur J Clin Nutr 1999; 53: 468–472.

    Article  CAS  Google Scholar 

  43. Deurenberg P, Deurenberg-Yap M . Validity of body composition methods across ethnic population groups. Acta Diabetol 2003; 40: S246–S249.

    Article  Google Scholar 

  44. Deurenberg P, Deurenberg-Yap M, Wang J, Lin F, Schmidt G . The impact of body build on the relationship between body mass index and percent body fat. Int J Obes 1999; 23: 537–542.

    Article  CAS  Google Scholar 

  45. O'Brien C, Young AJ, Sawka MN . Bioelectrical impedance to estimate changes in hydration status. Int J Sports Med 2002; 23: 361–366.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The current study was supported by the Directorate General of Higher Education Republic of Indonesia, Universitas Gadjah Mada, Indonesia and Queensland University of Technology, Australia. We thank the participants of the current study and the data collection staff. We also thank Ms Connie Wishart for the laboratory assessment of deuterium.

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Correspondence to J Hastuti.

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Hastuti, J., Kagawa, M., Byrne, N. et al. Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men. Eur J Clin Nutr 70, 1271–1277 (2016). https://doi.org/10.1038/ejcn.2016.113

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