Horie Lilian Mika, Barbosa-Silva Maria Cristina Gonzalez, Torrinhas Raquel Susana, de Mello Marco Túlio, Cecconello Ivan, Waitzberg Dan Linetzky
Department of Gastroenterology, Digestive Surgery Division-LIM 35, University of São Paulo School of Medicine, São Paulo, Brazil.
Clin Nutr. 2008 Jun;27(3):350-6. doi: 10.1016/j.clnu.2008.03.011. Epub 2008 May 23.
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.
Severely obese subjects (83 female/36 male, 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.
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.
Standard BIA equations were inadequate for estimating BF in severely obese patients. Equations developed especially for this population provide more accurate BF assessment.
严重肥胖给身体成分评估带来了生理限制。我们的目的是比较通过生物电阻抗分析(BIA)和空气置换体积描记法(ADP)获得的严重肥胖患者的体脂(BF)估计值,以开发用于预测BF的新方程。
对严重肥胖受试者(83名女性/36名男性,平均年龄=41.6±11.6岁)进行BIA和ADP测量以估计BF。使用布兰德-奥特曼图和一致性相关系数(CCC)评估数据的一致性。进行多变量回归分析以开发和验证新的预测方程。
BIA(64.8±15kg)和ADP(65.6±16.4kg)测得的BF估计值无差异(p>0.05,具有良好的准确性、精密度和CCC),但布兰德-奥特曼图显示一致性界限较宽(-10.4;8.8)。标准BIA方程高估了女性的BF(-1.3kg),低估了男性的BF(5.6kg;p<0.05)。在进行BIA测量后生成了两个新的BF预测方程,与标准BIA方程相比,它们预测BF的准确性、精密度、CCC和一致性界限更高。
标准BIA方程不足以估计严重肥胖患者的BF。专门为此人群开发的方程可提供更准确的BF评估。