| Literature DB >> 28112969 |
Megumi Ohta1, Taishi Midorikawa2, Yuki Hikihara3, Yoshihisa Masuo4, Shizuo Sakamoto5, Suguru Torii5, Yasuo Kawakami5, Tetsuo Fukunaga4, Hiroaki Kanehisa4.
Abstract
This study examined the validity of segmental bioelectrical impedance (BI) analysis for predicting the fat-free masses (FFMs) of whole-body and body segments in children including overweight individuals. The FFM and impedance (Z) values of arms, trunk, legs, and whole body were determined using a dual-energy X-ray absorptiometry and segmental BI analyses, respectively, in 149 boys and girls aged 6 to 12 years, who were divided into model-development (n = 74), cross-validation (n = 35), and overweight (n = 40) groups. Simple regression analysis was applied to (length)2/Z (BI index) for each of the whole-body and 3 segments to develop the prediction equations of the measured FFM of the related body part. In the model-development group, the BI index of each of the 3 segments and whole body was significantly correlated to the measured FFM (R2 = 0.867-0.932, standard error of estimation = 0.18-1.44 kg (5.9%-8.7%)). There was no significant difference between the measured and predicted FFM values without systematic error. The application of each equation derived in the model-development group to the cross-validation and overweight groups did not produce significant differences between the measured and predicted FFM values and systematic errors, with an exception that the arm FFM in the overweight group was overestimated. Segmental bioelectrical impedance analysis is useful for predicting the FFM of each of whole-body and body segments in children including overweight individuals, although the application for estimating arm FFM in overweight individuals requires a certain modification.Entities:
Keywords: absorptiométrie à rayons X en double énergie; bioelectrical impedance index; children; dual-energy X-ray absorptiometry; enfants; indice d’impédance bioélectrique; masse maigre segmentée; overweight; segmental fat-free mass; surpoids
Mesh:
Year: 2016 PMID: 28112969 DOI: 10.1139/apnm-2016-0137
Source DB: PubMed Journal: Appl Physiol Nutr Metab ISSN: 1715-5312 Impact factor: 2.665