Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal

Background: Bioelectrical impedance (BIA) has a good correlation and agreement with reference techniques, such as dual energy X-ray absorptiometry (DEXA), to assess body composition. Aim: To develop and assess the concordance of an equation to predict body fat mass derived from anthropometric data,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Schifferli,Ingrid, Carrasco,Fernando, Inostroza,Jorge
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2011
Materias:	Body composition Body fact distribution Electric impedance
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872011001200002
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0034-98872011001200002
record_format	dspace
spelling	oai:scielo:S0034-988720110012000022012-03-07Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporalSchifferli,IngridCarrasco,FernandoInostroza,Jorge Body composition Body fact distribution Electric impedance Background: Bioelectrical impedance (BIA) has a good correlation and agreement with reference techniques, such as dual energy X-ray absorptiometry (DEXA), to assess body composition. Aim: To develop and assess the concordance of an equation to predict body fat mass derived from anthropometric data, gender, age and resistance obtained from bioelectrical impedance in adults, using DEXA as the reference method. Patients and Methods: Cross-sectional study of 62 women and 59 men aged 18 to 64 years with a body mass index ranging from 18.5 to 34.8 kg/ m². The equation was constructed using a predictive statistical model, considering sex, age, weight, resistance index (height²(cm)/ resistance (ohms)), as independent variables, and fat mass as the dependent variable. Results: The R² of the regression model was 0.96, and the standard error of estimation was 2.58 kg (p < 0.001). When comparing with DEXA, no significant differences were observed for the estimation of FM, between the equation developed in this work and that proposed by the manufacturer of the BIA equipment. However, the latter equation, underestimated FM by -2.5 ± 9.5% (p > 0.05) and - 4.5 ± 8,9% (p < 0.05) in both genders and in women, respectively. Conclusions: The concordance between estimation of fat mass by the formula developed in this work and by DEXA was better than the estimation obtained using the formula proposed by the manufacturer of the BIA equipment.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.139 n.12 20112011-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872011001200002es10.4067/S0034-98872011001200002
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Body composition Body fact distribution Electric impedance
spellingShingle	Body composition Body fact distribution Electric impedance Schifferli,Ingrid Carrasco,Fernando Inostroza,Jorge Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
description	Background: Bioelectrical impedance (BIA) has a good correlation and agreement with reference techniques, such as dual energy X-ray absorptiometry (DEXA), to assess body composition. Aim: To develop and assess the concordance of an equation to predict body fat mass derived from anthropometric data, gender, age and resistance obtained from bioelectrical impedance in adults, using DEXA as the reference method. Patients and Methods: Cross-sectional study of 62 women and 59 men aged 18 to 64 years with a body mass index ranging from 18.5 to 34.8 kg/ m². The equation was constructed using a predictive statistical model, considering sex, age, weight, resistance index (height²(cm)/ resistance (ohms)), as independent variables, and fat mass as the dependent variable. Results: The R² of the regression model was 0.96, and the standard error of estimation was 2.58 kg (p < 0.001). When comparing with DEXA, no significant differences were observed for the estimation of FM, between the equation developed in this work and that proposed by the manufacturer of the BIA equipment. However, the latter equation, underestimated FM by -2.5 ± 9.5% (p > 0.05) and - 4.5 ± 8,9% (p < 0.05) in both genders and in women, respectively. Conclusions: The concordance between estimation of fat mass by the formula developed in this work and by DEXA was better than the estimation obtained using the formula proposed by the manufacturer of the BIA equipment.
author	Schifferli,Ingrid Carrasco,Fernando Inostroza,Jorge
author_facet	Schifferli,Ingrid Carrasco,Fernando Inostroza,Jorge
author_sort	Schifferli,Ingrid
title	Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
title_short	Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
title_full	Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
title_fullStr	Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
title_full_unstemmed	Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
title_sort	formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal
publisher	Sociedad Médica de Santiago
publishDate	2011
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872011001200002
work_keys_str_mv	AT schifferliingrid formulaciondeunaecuacionparapredecirlamasagrasacorporalapartirdebioimpedanciometriaenadultosenunampliorangodeedadeindicedemasacorporal AT carrascofernando formulaciondeunaecuacionparapredecirlamasagrasacorporalapartirdebioimpedanciometriaenadultosenunampliorangodeedadeindicedemasacorporal AT inostrozajorge formulaciondeunaecuacionparapredecirlamasagrasacorporalapartirdebioimpedanciometriaenadultosenunampliorangodeedadeindicedemasacorporal
_version_	1718436601484279808

Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal

Ejemplares similares