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The Tanita SC-240 to Assess Body Composition in Pre-School Children: An Evaluation against the Three Component Model

Overview of attention for article published in Nutrients, June 2016
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Title
The Tanita SC-240 to Assess Body Composition in Pre-School Children: An Evaluation against the Three Component Model
Published in
Nutrients, June 2016
DOI 10.3390/nu8060371
Pubmed ID
Authors

Christine Delisle Nyström, Pontus Henriksson, Christina Alexandrou, Marie Löf

Abstract

Quick, easy-to-use, and valid body composition measurement options for young children are needed. Therefore, we evaluated the ability of the bioelectrical impedance (BIA) device, Tanita SC-240, to measure fat mass (FM), fat free mass (FFM) and body fatness (BF%) in 40 healthy, Swedish 5.5 years old children against the three component model (3C model). Average BF%, FM, and FFM for BIA were: 19.4% ± 3.9%, 4.1 ± 1.9 kg, and 16.4 ± 2.4 kg and were all significantly different (p < 0.001) from corresponding values for the 3C model (25.1% ± 5.5%, 5.3 ± 2.5 kg, and 15.2 ± 2.0 kg). Bland and Altman plots had wide limits of agreement for all body composition variables. Significant correlations ranging from 0.81 to 0.96 (p < 0.001) were found for BF%, FM, and FFM between BIA and the 3C model. When dividing the children into tertiles for BF%, 60% of children were classified correctly by means of BIA. In conclusion, the Tanita SC-240 underestimated BF% in comparison to the 3C model and had wide limits of agreement. Further work is needed in order to find accurate and easy-to-use methods for assessing body composition in pre-school children.

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Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Ph. D. Student 5 11%
Other 5 11%
Student > Master 5 11%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 15 32%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Sports and Recreations 6 13%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 3 6%
Psychology 2 4%
Other 5 11%
Unknown 17 36%