Development of body composition prediction equations for severely obese patients: the use of bioelectrical impedance

INTRODUÇÃO: A obesidade grave dificulta fisicamente a avaliação da composição corporal. OBJETIVO: Desenvolver equações para estimativa de gordura corporal (GC) em obesos grau III. MÉTODOS: Adultos obesos graves tiveram a GC estimada por bioimpedância elétrica (BIA impedância de 5, 50, 100 e 200kHz) e por método de referência (pletismografia de deslocamento aéreo - PDA). Avaliaram-se os limites de concordância e seu coeficiente de correlação (CCC). Novas equações preditivas foram desenvolvidas por análise de regressão multivariada. RESULTADOS: A GC estimada por BIA e PDA foi similar para a população estudada (64,8 ± 15kg vs 65,6 ± 16kg, p>0,05). Ambas tiveram boa acurácia, precisão e CCC, porém a sua comparação teve amplos limites de concordância que variaram de -10,4 a 8,8kg. A equação residente de BIA aplicada em mulheres superestimou a GC (-1,3 kg; p<0,05) e em homens subestimou a GC (5,6 kg; p<0,05). Novas equações preditivas de GC foram criadas, para BIA de freqüência de 50kHz, Horie-Waitzberg & Barbosa-Silva1: GC1 (kg) = 23,25 + (0,13 × idade) + (1,00 × peso atual) + (0,09 × Resistência 50kHz) (0,80 × altura) e para BIA de frequência de 100kHz, Horie-Waitzberg & Barbosa-Silva2: GC2 (kg) = 23,97 + (0,10 × Impedância 100kHz) + (0,11 × idade) + (0,99 × peso atual) - (0,80 × altura). CONCLUSÕES: A equação residente no aparelho de BIA foi inadequada para estimar a GC em pacientes obesos grau III. As equações desenvolvidas especialmente para esta população forneceram estimativas de GC mais precisas (melhores limites de concordância, precisão, acurácia e CCC).RATIONALE: Severe obesity limits physically the body composition assessment. AIM: To develop equations of body fat (BF) estimative in severe obesity. METHODS: Severely obese adults had BF estimated by bioelectrical impedance (BIA impedance of 5, 50, 100 and 200kHz) and reference method (air displacement plethysmography - ADP). The limits of agreement and of concordance correlation coefficient (CCC) of the data were evaluated. New predictive equations were developed by multivariate regression analysis. RESULTS: The BF estimations from BIA and ADP were similar for the studied population (64.8 ± 15kg vs 65.6 ± 16.4kg, p>0.05). Both had good accuracy, precision, and CCC, but their comparison had wide limit of agreement with range from -10.4 to 8.8kg. The home BIA equation overestimated BF in women (-1.3 kg, p<0,05) and underestimated BF in men (5.6 kg; p <0.05). BF new predictive equations were generated, for BIA with 50kHz frequency, Horie- Waitzberg & Barbosa-Silva1: BF1 (kg) = 23.25 + (0.13 × age) + (1.00 × current weight) + (0.09 × Resistance 50kHz) (0.80 × height) and for BIA with 100kHz frequency, Horie-Waitzberg & Barbosa-Silva2: BF2 (kg) = 23.97 + (0.10 × Impedance 100kHz) + (0.11 × age) + (0.99 × current weight) - (0.80 × height). CONCLUSIONS: The home equation on BIA was inadequate for estimating BF in severely obese patients. Equations developed especially for this population provides more accurate BF estimative (better limits of agreement accuracy, precision and CCC)

Development of body composition prediction equations for severely obese patients: the use of bioelectrical impedance

INTRODUÇÃO: A obesidade grave dificulta fisicamente a avaliação da composição corporal. OBJETIVO: Desenvolver equações para estimativa de gordura corporal (GC) em obesos grau III. MÉTODOS: Adultos obesos graves tiveram a GC estimada por bioimpedância elétrica (BIA impedância de 5, 50, 100 e 200kHz) e por método de referência (pletismografia de deslocamento aéreo - PDA). Avaliaram-se os limites de concordância e seu coeficiente de correlação (CCC). Novas equações preditivas foram desenvolvidas por análise de regressão multivariada. RESULTADOS: A GC estimada por BIA e PDA foi similar para a população estudada (64,8 ± 15kg vs 65,6 ± 16kg, p>0,05). Ambas tiveram boa acurácia, precisão e CCC, porém a sua comparação teve amplos limites de concordância que variaram de -10,4 a 8,8kg. A equação residente de BIA aplicada em mulheres superestimou a GC (-1,3 kg; p0.05). Both had good accuracy, precision, and CCC, but their comparison had wide limit of agreement with range from -10.4 to 8.8kg. The home BIA equation overestimated BF in women (-1.3 kg, p<0,05) and underestimated BF in men (5.6 kg; p <0.05). BF new predictive equations were generated, for BIA with 50kHz frequency, Horie- Waitzberg & Barbosa-Silva1: BF1 (kg) = 23.25 + (0.13 × age) + (1.00 × current weight) + (0.09 × Resistance 50kHz) (0.80 × height) and for BIA with 100kHz frequency, Horie-Waitzberg & Barbosa-Silva2: BF2 (kg) = 23.97 + (0.10 × Impedance 100kHz) + (0.11 × age) + (0.99 × current weight) - (0.80 × height). CONCLUSIONS: The home equation on BIA was inadequate for estimating BF in severely obese patients. Equations developed especially for this population provides more accurate BF estimative (better limits of agreement accuracy, precision and CCC)

New body fat prediction equations for severely obese patients

Background & aims: Severe obesity imposes physical limitations to body composition assessment. Our aim was to compare body fat (BF) estimations of severely obese patients obtained by bioelectrical impedance (BIA) and air displacement plethysmography (ADP) for development of new equations for BF prediction.Methods: Severely obese subjects (83 female/36 mate, mean age = 41.6 +/- 11.6 years) had BF estimated by BIA and ADP. the agreement of the data was evaluated using Bland-Altman's graphic and concordance correlation coefficient (CCC). A multivariate regression analysis was performed to develop and validate new predictive equations.Results: BF estimations from BIA (64.8 +/- 15 kg) and ADP (65.6 +/- 16.4 kg) did not differ (p > 0.05, with good accuracy, precision, and CCC), but the Bland- Altman graphic showed a wide Limit of agreement (- 10.4; 8.8). the standard BIA equation overestimated BF in women (-1.3 kg) and underestimated BF in men (5.6 kg; p < 0.05). Two BF new predictive equations were generated after BIA measurement, which predicted BF with higher accuracy, precision, CCC, and limits of agreement than the standard BIA equation.Conclusions: Standard BIA equations were inadequate for estimating BF in severely obese patients. Equations developed especially for this population provide more accurate BF assessment. (C) 2008 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.Univ São Paulo, Sch Med, Digest Surg Div, Dept Gastroenterol, São Paulo, BrazilCatholic Univ, Dept Surg & Postgrad Hlth & Behav, Pelotas, BrazilUniversidade Federal de São Paulo, Dept Psychobiol, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Psychobiol, São Paulo, BrazilWeb of Scienc