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Comparing estimates of body fat in children using published bioelectrical impedance analysis equations

Williams, Joanne, Wake, Melissa and Campbell, Michelle 2007, Comparing estimates of body fat in children using published bioelectrical impedance analysis equations, Pediatric obesity, vol. 2, no. 3, pp. 174-179, doi: 10.1080/17477160701408783.

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Title Comparing estimates of body fat in children using published bioelectrical impedance analysis equations
Author(s) Williams, JoanneORCID iD for Williams, Joanne orcid.org/0000-0002-5633-1592
Wake, Melissa
Campbell, Michelle
Journal name Pediatric obesity
Volume number 2
Issue number 3
Start page 174
End page 179
Total pages 6
Publisher Wiley
Place of publication London, Eng.
Publication date 2007-09
ISSN 1747-7166
Keyword(s) Adipose Tissue
Australia
Body Mass Index
Child Development
Child, Preschool
Cohort Studies
Cross-Sectional Studies
Electric Impedance
Female
Humans
Male
Obesity
Parents
Social Support
Summary BACKGROUND: The level of body fat mass (BFM) in childhood that is associated with weight related morbidity is unclear. Bioelectrical impedance analysis (BIA) offers an inexpensive, acceptable and portable method for measuring body composition in children. However, different equations have been derived to estimate BFM, and relationships between equations have not been explored. OBJECTIVE: To compare body mass index (BMI) and BIA as tools for estimating adiposity-related health risks in children. METHODS: Height, weight and BIA were measured in a population based cross-sectional survey of 341 healthy 5-year-old Australian children. Percent BFM was estimated using four published BIA-based predictive equations for pre-school children. Ranking of children according to total BFM was compared for all equations. RESULTS: Each equation produced different estimates of percent BFM. In general, increasing BMI was associated with increasing BFM, but wide ranges of BFM estimates were produced for children of similar BMI. For all of the equations, females had a higher percent BFM compared with males of the same BMI (p<0.001). Percent BFM estimates rose rapidly in children classified as overweight/obese (1990 UK growth standard). The equations were highly correlated in their ranking of children from lowest to highest percent BFM. CONCLUSION: Results support concerns about the validity of BMI as an accurate measure of absolute BFM. Percent BFM estimates produced by the four BIA equations were highly correlated, indicating they rank children according to BFM in the same order. This suggests any single equation could provide a measure of relative BFM in children for population and longitudinal studies.
Language eng
DOI 10.1080/17477160701408783
Field of Research 111799 Public Health and Health Services not elsewhere classified
11 Medical And Health Sciences
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2007, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077676

Document type: Journal Article
Collection: School of Health and Social Development
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