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 Article
  • Published:

Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children

Abstract

Background/Objectives:

Few equations for calculating body-fat percentage (BF%) from field methods have been developed in South-Asian children. The objective of this study was to assess agreement between BF% derived from primary reference methods and that from skinfold equations and bio-impedance analysis (BIA) in Indian children.

Subjects/Methods:

We measured BF% in two groups of Indian children. In Pune, 570 rural children aged 6–8 years underwent dual-energy X-ray absorptiometry (DXA) scans. In Mysore 18O in doubly labeled water was administered to 59 urban children aged 7–9 years. We conducted BIA at 50 kHz and anthropometry, including sub-scapular and triceps skinfold thicknesses. We used the published equations of Wickramasinghe, Shaikh, Slaughter and Dezenburg to calculate BF% from anthropometric data and the manufacturer's equation for BIA measurements. We assessed agreement with values derived from DXA and doubly labeled water using Bland–Altman analysis.

Results:

Children were light and thin on average compared with international standards. There was poor agreement between the reference BF% values and those from all equations. Assumptions for Bland–Altman analysis were not met for Wickramasinghe, Shaikh and Slaughter equations. The Dezenberg equations under-predicted BF% for most children (mean difference in Pune −13.4, LOA −22.7, −4.0 and in Mysore −7.9, LOA (−13.7 and −2.2). The mean bias for the BIA equation in Pune was +5.0% and in Mysore +1.95%, and the limits of agreement were wide; −5.0, 15.0 and –7.8, 11.7 respectively.

Conclusions:

Currently available skinfold equations do not accurately predict BF% in Indian children. We recommend development of BIA equations in this population using a four-compartment model.

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

Similar content being viewed by others

References

  • Bhardwaj S, Misra A, Khurana L, Gulati S, Shah P, Vikram NK (2008). Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr 17 (Suppl 1), 172–175.

    PubMed  Google Scholar 

  • Bhat DS, Yajnik CS, Sayyad MG, Raut KN, Lubree HG, Rege SS et al. (2005). Body fat measurement in Indian men: comparison of three methods based on a two-compartment model. Int J Obes (Lond) 29, 842–848.

    Article  CAS  Google Scholar 

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

    Article  CAS  Google Scholar 

  • Coward A 1990. Calculation of pool sizes and flux rates. The Doubly Labeled Water Method for Measuring Energy Expenditure: A consensus Report by the IDECG Working Group. Technical Recommendations for Use in Humans. International Atomic Energy Agency: Vienna, 48–68.

    Google Scholar 

  • Deurenberg-Yap M, Chew SK, Deurenberg P (2002). Elevated body fat percentage and cardiovascular risks at low body mass index levels among Singaporean Chinese, Malays and Indians. Obes Rev 3, 209–215.

    Article  CAS  Google Scholar 

  • Deurenberg-Yap M, Schmidt G, Van Staveren WA, Hautvast JG, Deurenberg P (2001). Body fat measurement among Singaporean Chinese, Malays and Indians: a comparative study using a four-compartment' model and different two-compartment models. Br J Nutr 85, 491–498.

    Article  CAS  Google Scholar 

  • Dezenberg CV, Nagy TR, Gower BA, Johnson R, Goran MI (1999). Predicting body composition from anthropometry in pre-adolescent children. Int J Obes Relat Metab Disord 23, 253–259.

    Article  CAS  Google Scholar 

  • Ganpule A, Yajnik CS, Fall CH, Rao S, Fisher DJ, Kanade A . et al. (2006). Bone mass in Indian children--relationships to maternal nutritional status and diet during pregnancy: the Pune Maternal Nutrition Study. J Clin Endocrinol Metab 91, 2994–3001.

    Article  CAS  Google Scholar 

  • Goel K, Gupta N, Misra A, Poddar P, Pandey RM, Vikram NK et al. (2008). Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians. Obesity (Silver Spring) 16, 451–456.

    Article  Google Scholar 

  • Goran MI, Driscoll P, Johnson R, Nagy TR, Hunter G (1996). Cross-calibration of body-composition techniques against dual-energy X-ray absorptiometry in young children. Am J Clin Nutr 63, 299–305.

    Article  CAS  Google Scholar 

  • Huang TT, Watkins MP, Goran MI (2003). Predicting total body fat from anthropometry in Latino children. Obes Res 11, 1192–1199.

    Article  Google Scholar 

  • Krishnaveni GV, Hill JC, Veena SR, Leary SD, Saperia J, Chachyamma KJ et al. (2005). Truncal adiposity is present at birth and in early childhood in South Indian children. Indian Pediatr 42, 527–538.

    CAS  PubMed  Google Scholar 

  • Krishnaveni GV, Veena SR, Kuriyan R, Kishore RP, Wills AK, Nalinakshi M et al. (2009). Relationship between physical activity measured using accelerometers and energy expenditure measured using doubly labelled water in Indian children. Eur J Clin Nutr 63, 1313–1319.

    Article  CAS  Google Scholar 

  • Kumar S, Mahabalaraju DK, Anuroopa MS (2007). Prevalence of obesity and its influencing factor among affluent school children of Davangere city. Indian J Community Med 32, 15–17.

    Article  Google Scholar 

  • Kurpad AV, Borgonha S, Shetty PS (1997). Measurement of total energy expenditure by the doubly labelled water technique in free living Indians in Bangalore city. Indian J Med Res 105, 212–219.

    CAS  PubMed  Google Scholar 

  • Lobstein T, Baur L, Uauy R (2004). Obesity in children and young people: a crisis in public health. Obes Rev 5 (Suppl 1), 4–104.

    Article  Google Scholar 

  • Lohman T (1989). Assessment of body composition in children. Pediatr Exerc Sci 1, 19–30.

    Article  Google Scholar 

  • Lovegrove JA (2007). CVD risk in South Asians: the importance of defining adiposity and influence of dietary polyunsaturated fat. Proc Nutr Soc 66, 286–298.

    Article  CAS  Google Scholar 

  • Misra A, Khurana L (2009). The metabolic syndrome in South Asians: epidemiology, determinants, and prevention. Metab Syndr Relat Disord 7, 497–514.

    Article  Google Scholar 

  • Misra A, Khurana L, Vikram NK, Goel A, Wasir JS (2007). Metabolic syndrome in children: current issues and South Asian perspective. Nutrition 23, 895–910.

    Article  Google Scholar 

  • Morrison JA, Guo SS, Specker B, Chumlea WC, Yanovski SZ, Yanovski JA (2001). Assessing the body composition of 6–17-year-old Black and White girls in field studies. Am J Hum Biol 13, 249–254.

    Article  CAS  Google Scholar 

  • Raji A, Seely EW, Arky RA, Simonson DC (2001). Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians. J Clin Endocrinol Metab 86, 5366–5371.

    Article  CAS  Google Scholar 

  • Rush EC, Puniani K, Valencia ME, Davies PS, Plank LD (2003). 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 57, 1394–1401.

    Article  CAS  Google Scholar 

  • Shaikh S, Mahalanabis D (2004). Empirically derived new equations for calculating body fat percentage based on skinfold thickness and midarm circumference in preschool Indian children. Am J Hum Biol 16, 278–288.

    Article  Google Scholar 

  • Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van L et al. (1988). Skinfold equations for estimation of body fatness in children and youth. Hum Biol 60, 709–723.

    CAS  PubMed  Google Scholar 

  • Sopher AB, Thornton JC, Wang J, Pierson Jr RN, Heymsfield SB, Horlick M (2004). Measurement of percentage of body fat in 411 children and adolescents: a comparison of dual-energy X-ray absorptiometry with a four-compartment model. Pediatrics 113, 1285–1290.

    Article  Google Scholar 

  • Taylor RW, Grant AM, Williams SM, Goulding A (2010). Sex differences in regional body fat distribution from pre- to postpuberty. Obesity (Silver Spring) 18, 1410–1416.

    Article  Google Scholar 

  • Wells JC, Fuller NJ, Dewit O, Fewtrell MS, Elia M, Cole TJ (1999). Four-component model of body composition in children: density and hydration of fat-free mass and comparison with simpler models. Am J Clin Nutr 69, 904–912.

    Article  CAS  Google Scholar 

  • Wells JC, Williams JE, Chomtho S, Darch T, Grijalva-Eternod C, Kennedy K et al. (2010). Pediatric reference data for lean tissue properties: density and hydration from age 5 to 20 y. Am J Clin Nutr 91, 610–618.

    Article  CAS  Google Scholar 

  • Whincup PH, Gilg JA, Papacosta O, Seymour C, Miller GJ, Alberti KG et al. (2002). Early evidence of ethnic differences in cardiovascular risk: cross sectional comparison of British South Asian and white children. BMJ 324, 635.

    Article  Google Scholar 

  • Wickramasinghe VP, Lamabadusuriya SP, Cleghorn GJ, Davies PS (2008). Assessment of body composition in Sri Lankan children: validation of a skin fold thickness equation. Ceylon Med J 53, 83–88.

    Article  CAS  Google Scholar 

  • Williams JE, Wells JC, Wilson CM, Haroun D, Lucas A, Fewtrell MS (2006). Evaluation of Lunar Prodigy dual-energy X-ray absorptiometry for assessing body composition in healthy persons and patients by comparison with the criterion 4-component model. Am J Clin Nutr 83, 1047–1054.

    Article  CAS  Google Scholar 

  • Wong WW, Hergenroeder AC, Stuff JE, Butte NF, Smith EO, Ellis KJ (2002). Evaluating body fat in girls and female adolescents: advantages and disadvantages of dual-energy X-ray absorptiometry. Am J Clin Nutr 76, 384–389.

    Article  CAS  Google Scholar 

  • World Health Organization. The WHO Child Growth Standards, 2007a: World Health Organization: Geneva. Ref type: data file.

  • World Health Organization. The world health report 2007—A safer future: global public health security in the 21st century, 2007b: WHO Press: Geneva. Ref type: report.

  • Yajnik CS, Fall CH, Coyaji KJ, Hirve SS, Rao S, Barker DJ et al. (2003). Neonatal anthropometry: the thin-fat Indian baby. The Pune maternal nutrition study. Int J Obes Relat Metab Disord 27, 173–180.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was funded by the Medical Research Council and the Wellcome Trust. SHK contributed to data analysis, interpretation of results and drafted the manuscript; GVK, SRV, HGL and DSB carried out newborn and childhood data collection and contributed to manuscript preparation; AKW and AMG carried out the statistical analysis of data, contributed to interpretation of results and manuscript preparation; RK carried out the calculations related to 18O dilution; CHDF designed the study, coordinated the analysis, interpretation and drafting of the paper; CSY designed the study and contributed to interpretation of the results; AK coordinated 18O dilution analysis and related calculations, contributed to interpretation of results and drafting of manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S H Kehoe.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kehoe, S., Krishnaveni, G., Lubree, H. et al. Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children. Eur J Clin Nutr 65, 1263–1270 (2011). https://doi.org/10.1038/ejcn.2011.119

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ejcn.2011.119

Keywords

This article is cited by

Search

Quick links