Prediction of body fat in a dolescents: comparison of two electric bioimpedance devices with dual-energy X-ray absorptiometry.

INTRODUCTION An accurate estimate of body composition is important in assessing and monitoring the nutritional status of adolescents. OBJECTIVES To compare the accuracy of 2 electrical bioimpedance devices with that of dual-energy X-ray absorptiometry (DXA) to predict body fat in Brazilian adolescents. METHODS We evaluated 500 adolescents aged between 10 and 19 years, stratified by sex and divided into overweight and non-overweight groups. The percentage of body fat (%BF) was estimated using 2 types of electrical bioimpedance devices: BIA1 (horizontal tetrapolar bioimpedance equipment) and BIA2 (vertical 8-electrode bioimpedance equipment), as well as by DXA. A Bland- Altman plot was used to calculate the total errors and standard errors of estimate. RESULTS Considering BMI for age, 19.4% were overweight and 47.4% as assessed by %BF of DXA were overweight. The %BF estimated by BIA2 correlated well (p < 0.05) with the %BF predicted by DXA, and only the total errors for BIA2 in the overweight group were acceptable (≤2.5%). The standard errors of estimate was <3.5%, with the lowest values observed for BIA2. Both BIA1 and BIA2 underestimated the %BF in overweight adolescents, while overestimating the %BF in male adolescents of normal weight. CONCLUSIONS The BIA2 was found to be more effective in the evaluation of body fat. Regardless of the method used, the results should be carefully interpreted when assessing the body composition of adolescents.

[1]  Mary O. Hearst,et al.  Trends of overweight and obesity among white and american indian school children in south dakota, 1998–2010 , 2013, Obesity.

[2]  G. Bedogni,et al.  Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children , 2009, European Journal of Clinical Nutrition.

[3]  M. Sjöström,et al.  Reliability and Intermethod Agreement for Body Fat Assessment Among Two Field and Two Laboratory Methods in Adolescents , 2012, Obesity.

[4]  Shumei S. Sun,et al.  Puberty and Body Composition , 2003, Hormone Research in Paediatrics.

[5]  M. Fisberg,et al.  Obesity and metabolic syndrome in infancy and adolescence , 2004 .

[6]  V. Heyward ASEP METHODS RECOMMENDATION: BODY COMPOSITION ASSESSMENT , 2001 .

[7]  R. Ross,et al.  Does adipose tissue influence bioelectric impedance in obese men and women? , 1998, Journal of applied physiology.

[8]  C. Rech,et al.  Impedância bioelétrica bipolar: falta acuracidade para estimar a gordura relativa em homens. DOI: 10.5007/1980-0037.2011v13n2p100 , 2011 .

[9]  Influence of prior nutritional status on the development of the metabolic syndrome in adults. , 2009, Arquivos brasileiros de cardiologia.

[10]  F. Slinde,et al.  Bioelectrical impedance: effect of 3 identical meals on diurnal impedance variation and calculation of body composition. , 2001, The American journal of clinical nutrition.

[11]  L. R. Sampaio,et al.  Bioimpedância elétrica e sua aplicação em avaliação nutricional , 2011 .

[12]  P. F. Pereira,et al.  Peripheral expression of inflammatory markers in overweight female adolescents and eutrophic female adolescents with a high percentage of body fat. , 2010, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[13]  S. Min,et al.  External cross-validation of bioelectrical impedance analysis for the assessment of body composition in Korean adults , 2011, Nutrition research and practice.

[14]  S. Going,et al.  Comparison of air displacement plethysmography with dual-energy X-ray absorptiometry and 3 field methods for estimating body composition in middle-aged men. , 1998, The American journal of clinical nutrition.

[15]  J. Bressan,et al.  Fatores associados à adiposidade em adolescentes do sexo feminino eutróficas com adequado e elevado percentual de gordura corporal: elaboração de um modelo de risco , 2011 .

[16]  M. Barón,et al.  Uso de la bioimpedancia eléctrica para la estimación de la composición corporal en niños y adolescentes , 2009 .

[17]  Kyungdo Han,et al.  Gender differences in the association of insulin resistance with metabolic risk factors among Korean adolescents: Korea National Health and Nutrition Examination Survey 2008-2010. , 2013, Diabetes research and clinical practice.

[18]  P. F. Pereira,et al.  Body fat location and cardiovascular disease risk factors in overweight female adolescents and eutrophic female adolescents with a high percentage of body fat , 2011, Cardiology in the Young.

[19]  J. Oppert,et al.  Changes in body composition during weight loss in obese subjects in the NUGENOB study: comparison of bioelectrical impedance vs. dual-energy X-ray absorptiometry. , 2011, Diabetes & metabolism.

[20]  G. Balasekaran,et al.  Comparison of body composition with bioelectric impedance (BIA) and dual energy X-ray absorptiometry (DEXA) among Singapore Chinese. , 2011, Journal of science and medicine in sport.

[21]  Nerea Larrañaga,et al.  Evolución del estado de nutrición de yodo en los escolares de la Comunidad Autónoma del País Vasco , 2012 .

[22]  S. E. Priore,et al.  Comparison of the biochemical, anthropometric and body composition variables between adolescents from 10 to 13 years old and their parents , 2012 .

[23]  S. Leahy,et al.  A comparison of dual energy X-ray absorptiometry and bioelectrical impedance analysis to measure total and segmental body composition in healthy young adults , 2012, European Journal of Applied Physiology.

[24]  C. Nishida,et al.  Development of a WHO growth reference for school-aged children and adolescents. , 2007, Bulletin of the World Health Organization.

[25]  S. Franceschini,et al.  Correlação entre variáveis de composição corporal e metabólica em adolescentes do sexo feminino , 2009 .