Validation of bioelectrical impedance equations for predicting body composition in women

Authors

  • Juan Carlos Aristizábal Rivera Universidad de Antioquia
  • María Teresa Restrepo Calle Universidad de Antioquia

DOI:

https://doi.org/10.17533/udea.penh.20312

Keywords:

body composition, anthropometry, fat body, impedance, bioelectrical impedance

Abstract

Background: The application of bioimpedance to estimate body composition in Colombia has increased in the last years. Objective: To validate bioimpedance equations to assess fat mass percentage (%FM) in women from Medellín-Colombia. Materials and methods: This is a cross sectional study with a sample of 52 women 18 to 40 years old. The %FM was assessed by the reference method hydrodensitometry and by hand-to-feet bioimpedance with the equations of Sun and Kotler, and feet-to-feet bioimpedance with a Tanita scale. Results: The %FM estimated by Kotler (31,9±6,0) and Tanita (25,6±6,1) were different (p<0.001) from hydrodensitometry (29,6±5,3). These techniques showed low agreement with the reference method, Kotler (Bland-Altman: -2,3 IC95%: -10,9; 6,1) and Tanita (Bland-Altman: 4.0 IC95%: -6,3; 14,3). The %FM estimated by the Sun equation was similar to hydrodensitometry (29,6±5,3 Vs. 28,6±5,2, p=0,098). However, this equation showed low agreement with this method (Bland-Altman: 0,9 IC95%: -7,1; 9,0). Conclusions: The hand-to-feet bioimpedance with the Kotler equation and feet-to-feet bioimpedance with Tanita scale were not valid to assess the %FM of this specific population of women. The hand-to-feet bioimpedance with the Sun equation estimated accurately the average group of %FM, but it lacked of validity to assess the individual %FM in this population.

|Abstract
= 533 veces | PDF (ESPAÑOL (ESPAÑA))
= 417 veces|

Downloads

Download data is not yet available.

Author Biographies

Juan Carlos Aristizábal Rivera, Universidad de Antioquia

Research Group in Physiology and Biochemistry (PHYSIS), Faculty of Medicine and School of Nutrition and Dietetics. Universidad de Antioquia, Medellín, Colombia.

María Teresa Restrepo Calle, Universidad de Antioquia

Teacher at the School of Nutrition and Dietetics. Universidad de Antioquia, Medellín, Colombia.

References

Huxley R, Mendis S, Zheleznyakov E, Reddy S, Chan J. Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk--a review of the literature. Eur J Clin Nutr. 2010:64:16-22.

Instituto Colombiano de Bienestar Familiar, Profamilia, Instituto Nacional de Salud, Ministerio de la Protección Social. Encuesta nacional de la situación nutricional en Colombia: 2010. Bogotá: ICBF; 2011.

Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodle ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378:804-14.

Jackson AA, Johnson M, Durkin K, Wootton S. Body composition assessment in nutrition research: value of BIA technology. Eur J Clin Nutr. 2013;67(Suppl 1):S71-8.

Lukaski HC. Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research. Eur J Clin Nutr. 2013;67(Suppl 1):S2-9.

Piccoli A NL, Rosell J, Análisis convencional y vectorial de bioimpedancia en la práctica clínica. Nefrología. 2002;22:228-38.

Kyle UG, Bosaeus I, de Lorenzo AD, Deurenberg P, Elia M, Gómez M, et al. Bioelectrical impedance analysis. Part I: review of principles and methods. Clin Nutr. 2004;23:1226-43.

Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gómez M, et al. Bioelectrical impedance analysis. Part II: utilization in clinical practice. Clin Nutr. 2004; 23:1430-53.

Elia M. Body composition by whole-body bioelectrical impedance and prediction of clinically relevant outcomes: overvalued or underused? Eur J Clin Nutr. 2013;67(Suppl 1):S60-70.

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;77:331-40.

National Institute Health. Technol Assess Statement. Bioelectrical impedance analysis in body composition measurement. Nutrition. 1996;12:749-59.

Caicedo-Eraso JC, González-Correa CA, González-Correa CH. Bioelectrical impedance analysis (BIA) equations validation against hydrodensitometry in a Colombian population. J Phys Conf Ser. 2013;434;012065.

Aristizábal JC, Restrepo MT, Estrada A. Evaluación de la composición corporal mediante antropometría e impedancia bioeléctrica. Biomédica. 2007;27:216-24.

Lohman TG RA, Martorell R. Antropometric standardization reference manual. Champaign: Human Kinetics Publishers; 1988. p. 2-80.

RJLSystems. Appendix B: Testing your BIA instrument. CYPRUS body composition analysis. Clinton Township; 2012.

Kotler DP, Burastero S, Wang J, Pierson RN, Jr. Prediction of body cell mass, fat-free mass, and total body water with bioelectrical impedance analysis: effects of race, sex, and disease. Am J Clin Nutr. 1996;64:489S-97S.

Tanita. Understanding BIA technology. Body composition analyzer. Arlington Heights; 2013. Technical notes N°5.

Aristizábal JC, Restrepo MT, López A. Validación por hidrodensitometría de ecuaciones de pliegues cutáneos utilizadas para estimar la composición corporal en mujeres. Biomédica. 2008;28:404-13.

Cornier MA, Després JP, Davis N, Grossniklaus DA, Klein S. Assessing adiposity: a scientific statement from the American Heart Association. Circulation. 2011;124:1996-2019.

Going S. Densitometry. In: Roche AF, Heymsfield SB, Lohman TG. Human body composition. Champaign: Human Kinetics; 1996. p. 3-22.

Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-10.

Mantha S, Roizen MF, Fleisher LA, Thisted R, Foss J. Comparing methods of clinical measurement: reporting standards for bland and altman analysis. Anesth Analg. 2000;90:593-602.

Aglago KE, Menchawy IE, Kari KE, Hamdouchi AE, Barkat A. 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;67:1081-6.

Aleman-Mateo H, Rush E, Esparza-Romero J, Ferriolli E, Ramírez-Zea M, et al. Prediction of fat-free mass by bioelectrical impedance analysis in older adults from developing countries: a cross-validation study using the deuterium dilution method. J Nutr Health Aging. 2010;14:418-26.

Williams CA, Bale P. Bias and limits of agreement between hydrodensitometry, bioelectrical impedance and skinfold calipers measures of percentage body fat. Eur J Appl Physiol Occup Physiol. 1998:77:271-7.

Deurenberg P, Deurenberg-Yap M, Schouten FJ. Validity of total and segmental impedance measurements for prediction of body composition across ethnic population groups. Eur J Clin Nutr. 2002;56:214-20.

Marrodán Serrano MD. Técnicas analíticas en el estudio de la composición corporal. Antropometría frente a sistemas de bioimpedancia bipolar y tetrapolar. Nutr Clin Diet Hosp. 2007;27:11-9.

Thomson R, Brinkworth GD, Buckley JD, Noakes M, Clifton PM. Good agreement between bioelectrical impedance and dualenergy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women. Clin Nutr. 2007;26:771-7.

Macías N, Alemán-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.

Wang Z, Deurenberg P, Wang W, Pietrobelli A, Baumgartner RN, Heymsfield SB. Hydration of fat-free body mass: review and critique of a classic body-composition constant. Am J Clin Nutr. 1999;69:833-41.

Moon JR. Body composition in athletes and sports nutrition: an examination of the bioimpedance analysis technique. Eur J Clin Nutr. 2013;67(Suppl 1):S54-9.

Swartz AM, Jeremy Evans M, King GA, Thompson DL. Evaluation of a foot-to-foot bioelectrical impedance analyser in highly active, moderately active and less active young men. Br J Nutr.2002:88:205-10.

Wickramasinghe VP, Lamabadusuriya SP, Cleghorn GJ, Davies PSW. 2012. Development of a segmental bioelectrical impedance prediction equation for the assessment of body composition in Sri Lankan children. Int J Body Comp Res. 2012;10:79-86.

Published

2014-08-11

How to Cite

Aristizábal Rivera, J. C., & Restrepo Calle, M. T. (2014). Validation of bioelectrical impedance equations for predicting body composition in women. Perspectivas En Nutrición Humana, 16(1), 51–60. https://doi.org/10.17533/udea.penh.20312

Issue

Section

Research