Clinical Epidemiology Research Unit, Hospital Infantil de México Federico Gomez, Mexico City 06720, Mexico.
Faculty of Medicine, Universidad Nacional Autonoma de México, Mexico City 06720, Mexico.
Nutrients. 2022 Feb 25;14(5):965. doi: 10.3390/nu14050965.
The aim of our study was to validate three different bioelectrical impedance analysis (BIA) methods for estimating body composition (BC). First, we generated BIA prediction equations based on the 4-C model as the reference method for fat mass (FM) and fat-free mass (FFM), and on dual X-ray absorptiometry (DXA) estimations of appendicular lean mass (ALM) and truncal fat mass (tFM). Then, we performed cross-validation in an independent BMI-, sex-, and Tanner-stratified sample of 450 children/adolescents. The three BIA methods showed good correlation and concordance with DXA BC estimations. However, agreement analyses showed significant biases, with increasing subestimations of FM and tFM, and overestimations of ALM, by all three BIA methods. In conclusion, the three BIA methods analysed in this study, provide valid estimations of BC for total body and body segments, in children and adolescents who are of a healthy weight, overweight, or obese. It should be noted that this validation cannot be extrapolated to other BIA methods.
我们研究的目的是验证三种不同的生物电阻抗分析(BIA)方法来估计身体成分(BC)。首先,我们生成了基于 4-C 模型的 BIA 预测方程,将其作为脂肪量(FM)和去脂体重(FFM)的参考方法,以及基于双能 X 射线吸收法(DXA)估计的四肢瘦体重(ALM)和躯干脂肪量(tFM)的参考方法。然后,我们在一个独立的 BMI、性别和 Tanner 分层的 450 名儿童/青少年样本中进行了交叉验证。三种 BIA 方法与 DXA BC 估计值具有良好的相关性和一致性。然而,一致性分析显示,所有三种 BIA 方法均存在显著的偏差,即 FM 和 tFM 的低估和 ALM 的高估。总之,本研究分析的三种 BIA 方法为健康体重、超重和肥胖的儿童和青少年提供了全身和身体各部位 BC 的有效估计值。需要注意的是,这种验证不能推广到其他 BIA 方法。