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.

  • Article
  • Published:

Body composition, energy expenditure and physical activity

Development and validation of bioelectrical impedance analysis equations for prediction total body water and fat-free mass using D2O technique in Moroccan children aged between 8 and 11 years old

Abstract

Background/objectives

Estimating body composition using bioelectric impedance analysis (BIA) requires specific prediction equations. The purpose of our study was to examine the validity of published BIA equations for assessing total body water (TBW) and fat-free mass (FFM) using deuterium oxide dilution (D2O) as a reference method and to develop new FFM and TBW BIA equations if needed for Moroccan pre-pubertal children.

Subjects/methods

Data were collected from 247 schoolchildren aged 8–11 years old. Children were sorted by gender and age group and assigned in development and validation groups. D2O dilution was used as reference method for estimating TBW and FFM. Bland and Altman test, effect size, pure error, and proportional bias were used to assess the reliability of previous published equations. Cross-validation was performed by Bland and Altman test and BIA new equations were developed by linear regression.

Results

Previously published equations were tested and showed significant bias values indicating that if used they would provide biased values of TBW and FFM. The new prediction equations developed were:

\(\mathrm{TBW}_{\mathrm{D}_{2}{\mathrm{O}}}\) (l) = 0.269 + 0.292 Ht2/R (cm2/Ω) + 0.221 weight (kg) + 0.824 sex (boys = 1, girls = 0) + 0.291 age (years) (R2 = 0.91, RMSE = 1.54 kg);

\(\mathrm{FFM}_{\mathrm{D}_{2}{\mathrm{O}}}\) (kg) = −0.450 + 0.380 Ht2/R (cm2/Ω) + 0.291 weight (kg) + 1.294 sex (boys = 1, girls = 0) + 0.446 age (years) (R2 = 0.91, RMSE = 1.97 kg).

These equations provide better values of proportional bias, agreement, and pure error than the other tested equations.

Conclusions

The new BIA prediction equations seem to be the most accurate for Moroccan pre-pubertal children.

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

Fig. 1

Similar content being viewed by others

References

  1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Mirmiran P, Sherafat-Kazemzadeh R, Jalali-Farahani S, Azizi F. Childhood obesity in the Middle East: a review. East Mediterr Health J. 2010;16:1009–17.

    Article  CAS  PubMed  Google Scholar 

  3. Ng SW, Zaghloul S, Ali HI, Harrison G, Popkin BM. The prevalence and trends of overweight, obesity and nutrition-related non-communicable diseases in the Arabian Gulf States. Obes Rev. 2011;12:1–13.

    Article  CAS  PubMed  Google Scholar 

  4. World Health Organization (WHO). Report of the Commission on Ending Childhood Obesity; Geneva, Switzerland, 2016.

  5. Lobstein T, Jackson-Leach R. Estimated burden of paediatric obesity and co-morbidities in Europe. Part 2. Numbers of children with indicators of obesity-related disease. Int J Pediatr Obes. 2006;1:33–41.

    Article  PubMed  Google Scholar 

  6. Litwin SE. Childhood obesity and adulthood cardiovascular disease: quantifying the lifetime cumulative burden of cardiovascular risk factors. J Am Coll Cardiol. 2014;64:1588–90.

    Article  PubMed  Google Scholar 

  7. Heymsfield SB, Lohman TG, Wang Z, Going SB. Human body composition. 2nd edn. Champaign IL: Human Kinetics; 2005.

  8. Roubennoff R, Dallal G, Wilson P. Predicting body fatness: the body mass index vs estimation by bioelectrical impedance. Am J Public Health. 1995;85:726–8.

    Article  Google Scholar 

  9. Gallager D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB. How useful is body mass index for comparaison of body fatness across age, sex, and ethnic groups? Am J Epidemiol. 1996;143:228–39.

    Article  Google Scholar 

  10. Freedman DS, Wang J, Maynard LM, Thornton JC, Mei Z, Pierson RN, et al. Relation of BMI to fat and fat-free mass among children and adolescents. Int J Obes. 2005;29:1–8.

    Article  CAS  Google Scholar 

  11. Wickramasinghe VP, Cleghorn GJ, Edmiston KA, Murphy AJ, Abbott RA, Davies PSW. Validity of BMI as a measure of obesity in Australian white Caucasian and Australian Sri Lankan children. Ann Hum Biol. 2005;32:60–71.

    Article  CAS  PubMed  Google Scholar 

  12. Segal KR, Burastero S, Chun A, Coronel P, Pierson RN Jr, Wang J. Estimation of extracellular and total body water by multiple-frequency bioelectrical-impedance measurement. Am J Clin Nutr. 1991;54:26–9.

    Article  CAS  PubMed  Google Scholar 

  13. Diaz EO, Villar J, Immink M, Gonzales T. Bioimpedance or anthropometry? Eur J Clin Nutr. 1989;43:129–37.

    CAS  PubMed  Google Scholar 

  14. Hamrani A, El Kari K, Mehdad S, El Hamdouchi A, El Mzibri M, Barkat A, et al. Fat free mass prediction model for Moroccan adolescents by bioelectrical impedance analysis using deuterium oxide dilution as a reference. Int J Body Compos Res. 2012;4:107–14.

    Google Scholar 

  15. Wells JCK, Fewtrell MS, Davies PSW, Williams JE, Coward WA, Cole TJ. Prediction of total body water in infants and children. Arch Dis Child. 2005;90:965–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Davies PSW, Gregory JW. Body water measurements in growth disorders. [Letter]. Arch Dis Child. 1991;66:1467.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Wickramasinghe VP, Lamabadusuriya SP, Cleghorn GJ, Davies PSW. Assessment of body composition in Sri Lankan children: validation of a bioelectrical impedance prediction equation. Eur J Clin Nutr. 2008;62:1170–7.

    Article  CAS  PubMed  Google Scholar 

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

    CAS  PubMed  Google Scholar 

  19. Schaefer F, Georgi M, Zieger A, Scharer K. Usefulness of bioelectric impedance and skinfold measurement in predicting fat-free mass derived from total body potassium in children. Pediatr Res. 1994;35:617–24.

    Article  CAS  PubMed  Google Scholar 

  20. Lorenzo A, Sorge SP, Iacopino L, Andreoli A, de Luca PP, Sasso JF. Fat free mass by bioelectrical impedance vs dual energy X ray absorptiometry (DXA). Appl Radiat Isot. 1998;49:739–41.

    Article  PubMed  Google Scholar 

  21. Ruch EC, Puniani K, Valencia ME, Davies PSW, Plank LD. Estimation of body fatness from body mass index and bioelectrical impedance: comparison of New Zealand European, Maori and Pacific Island children. Eur J Clin Nutr. 2003;57:1394–401.

    Article  Google Scholar 

  22. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics; 1988.

    Google Scholar 

  23. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Sjekman J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Tanner J, Whitehouse R. Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Arch Dis Child. 1976;51:170–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. International Atomic Energy Agency. Introduction to body composition assessment using the deuterium dilution technique with analysis of saliva Q5 samples by Fourier transform infrared spectrometry. IAEA Human Health Series. No. 12. Vienna: International Atomic Energy Agency; 2010.

  26. 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;67:1–6.

    Article  Google Scholar 

  27. Schoeller DA, Van Santen E, Paterson DW, Dietz W, Jaspan J, Klein PD. Total body water measurement in humans with 18O and 2H labeled water. Am J Clin Nutr. 1980;33:2688–93.

    Google Scholar 

  28. Lohman TG. Applicability of body composition techniques and constants for children and youths. Exerc Sports Sci Rev. 1986;14:325–57.

    Article  CAS  Google Scholar 

  29. Lohman TG. Advances in body composition assessment. Champaign, IL: Human Kinetics; 1992. pp. 65–77.

    Google Scholar 

  30. Laurson KR, Eisenmann JC, Welk GJ. Body fat percentile curves for U.S. children and adolescents. Am J Prev Med. 2011;41:S87–92.

    Article  PubMed  Google Scholar 

  31. McBride GB. A proposal for strength-of-agreement criteria for Lin’s Concordance Correlation Coefficient. NIWA Client Report: HAM 2005-062; 2005.

  32. Bland JM, Altman DG. Applying the right statistics: analyses of measurements studies. Ultrasound Obstet Gynecol. 2003;22:85–93.

    Article  CAS  PubMed  Google Scholar 

  33. Ludbrook J. Statistical techniques for comparing measures and methods of measurement: a critical review. Clin Exp Pharmacol Physiol. 2002;29:527–36.

    Article  CAS  PubMed  Google Scholar 

  34. Cohen J. Statistical power analysis for the behavioural sciences. 2nd edn. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.

    Google Scholar 

  35. Deurenberg P, Deurenberg-Yap M. Validity of body composition methods across ethnic population groups. Acta Diabetol. 2003;40:s246–9.

    Article  PubMed  Google Scholar 

  36. Deurenberg P, Wolde-Gebriel Z, Schouten F. Validity of predicted total body water and extracellular water using multifrequency bioelectrical impedance in an ethiopian population. Ann Nutr Metab. 1995;39:234–41.

    Article  CAS  PubMed  Google Scholar 

  37. Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age-and sex-specific prediction formulas. Br J Nutr. 1991;65:105–14.

    Article  CAS  PubMed  Google Scholar 

  38. Morrison JA, Barton BA, Obarzanek E, Crawford PB, Guo SS, Schreiber GB. Racial differences in the sums of skinfolds and percentage of body fat estimated from impedance in black and white girls, 9 to 19 years of age: The National Heart, Lung, and Blood Institute Growth and Health Study. Obes Res. 2001;9:297–305.

    Article  CAS  PubMed  Google Scholar 

  39. Kyle UG, Earthman CP, Pichard C, Coss-Bu JA. Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis. Eur J Clin Nutr. 2015;69:1–8.

    Article  CAS  Google Scholar 

  40. Liu A, Byrne NM, Kagawa M, Ma G, Kijboonchoo K, Nasreddine L, et al. Ethnic differences in body fat distribution among Asian pre-pubertal children: a cross-sectional multicenter study. BMC Publ Health. 2011;11:500, 2–7.

  41. Siervogel RM, Demerath EW, Schubert C, Remsberg KE, Chumlea WC, Sun S, et al. Puberty and body composition. Horm Res. 2003;60:36–45.

    CAS  PubMed  Google Scholar 

  42. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gomez JM, et al. Bioelectrical impedance analysis-part I: review of principles and methods. Clin Nutr. 2004;5:1226–43.

    Article  Google Scholar 

  43. Kriemler S, Puder J, Zahner L, Roth R, Braun-Fahrländer C, Bedogni G. Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of children. Eur J Clin Nutr. 2009;63:619–26.

    Article  CAS  PubMed  Google Scholar 

  44. Fomon SJ, Haschke F, Zeigler EE, Nelson SE. Body composition of reference children from birth to age 10 years. Am J Clin Nutr. 1982;35:1169–75.

    Article  CAS  PubMed  Google Scholar 

  45. Deurenberg P, Kusters CSL, Smit HE. Assessment of body composition by bioelectrical impedance of children and young adults is strongly age dependant. Eur J Clin Nutr. 1990;44:261–8.

    CAS  PubMed  Google Scholar 

  46. Guo SS, Chumlea WC, Cockram DB. Use of statistical methods to estimate body composition. Am J Clin Nutr. 1996;64:428S–35S.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to gratefully acknowledge the contributions of schoolchildren who participated in this study, their parents, teachers, directors, and other support staff. This study was performed with the support of the International Atomic Energy Agency (Project RAF/06/42).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Asmaa El Hamdouchi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El Harchaoui, I., El Hamdouchi, A., Baddou, I. et al. Development and validation of bioelectrical impedance analysis equations for prediction total body water and fat-free mass using D2O technique in Moroccan children aged between 8 and 11 years old. Eur J Clin Nutr 72, 1663–1672 (2018). https://doi.org/10.1038/s41430-018-0093-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41430-018-0093-2

Search

Quick links