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Validity of segmental bioelectrical impedance analysis for estimating fat-free mass in children including overweight individuals

Megumi Ohta, Taishi Midorikawa, Yuki Hikihara, Yoshihisa Masuo, Shizuo Sakamoto, Suguru Torii, Yasuo Kawakami, Tetsuo Fukunaga, Hiroaki Kanehisa
Applied Physiology, Nutrition, and Metabolism 2016 v.42 no.2 pp. 157-165
bioelectrical impedance, boys, children, dual-energy X-ray absorptiometry, equations, girls, lean body mass, legs, metabolism, nutrition, overweight, prediction, regression analysis
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.