Segmental bioelectrical impedance in the assessment of body composition of Sri Lankan children
Data(s) |
2012
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Resumo |
Abstract: Over the years bioelectrical impedance assay (BIA) has gained popularity in the assessment of body composition. However, equations for the prediction of whole body composition use whole body BIA. This study attempts to evaluate the usefulness of segmental BIA in the assessment of whole body composition. A cross sectional descriptive study was conducted at the Professorial Paediatric Unit of Lady Ridgeway Hospital, Colombo, involving 259 (M/F:144/115) 5 to 15 year old healthy children. The height, weight, total and segmental BIA were measured and impedance indices and specific resistivity for the whole body and segments were calculated. Segmental BIA indices showed a significant association with whole body composition measures assessed by total body water (TBW) using the isotope dilution method (D2O). Impedance index was better related to TBW and fat free mass (FFM), while specific resistivity was better related to the fat mass of the body. Regression equations with different combinations of variables showed high predictability of whole body composition. Results of this study showed that segmental BIA can be used as an alternative approach to predict the whole body composition in Sri Lankan children. |
Formato |
application/pdf |
Identificador | |
Publicador |
National Science Foundation of Sri Lanka |
Relação |
http://eprints.qut.edu.au/87202/1/87202.pdf DOI:10.4038/jnsfsr.v40i3.4697 Wickramasinghe, V. P., Lamabadusuriya, S. P., Cleghorn, G. J., & Davies, P. S. W. (2012) Segmental bioelectrical impedance in the assessment of body composition of Sri Lankan children. Journal of the National Science Foundation of Sri Lanka, 40(3), pp. 231-239. |
Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Exercise & Nutrition Sciences |
Palavras-Chave | #Fat free mass #fat mass #impedance index #segmental BIA #specific resistivity #Sri Lankan children #Whole-Body #Aged 8-12Y #Prediction |
Tipo |
Journal Article |