TY - JOUR
T1 - Validity of segmental bioelectrical impedance analysis for estimating fat-free mass in children including overweight individuals
AU - Ohta, Megumi
AU - Midorikawa, Taishi
AU - Hikihara, Yuki
AU - Masuo, Yoshihisa
AU - Sakamoto, Shizuo
AU - Torii, Suguru
AU - Kawakami, Yasuo
AU - Fukunaga, Tetsuo
AU - Kanehisa, Hiroaki
N1 - Funding Information:
This study was supported in part by JSPS(Japan Society for the Promotion of Science) KAKENHI Grant Numbers 18800054, 22700623, and 24680069.
Publisher Copyright:
© 2017, Canadian Science Publishing. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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 crossvalidation 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.
AB - 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 crossvalidation 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.
KW - Bioelectrical impedance index
KW - Children
KW - Dual-energy X-ray absorptiometry
KW - Overweight
KW - Segmental fat-free mass
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U2 - 10.1139/apnm-2016-0137
DO - 10.1139/apnm-2016-0137
M3 - Article
C2 - 28112969
AN - SCOPUS:85011324225
SN - 1715-5312
VL - 42
SP - 157
EP - 165
JO - Applied Physiology, Nutrition and Metabolism
JF - Applied Physiology, Nutrition and Metabolism
IS - 2
ER -