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Predicting body fat using weight-height indices.

Authors :
Mills, TerenceC.
Source :
Journal of Applied Statistics; Oct2008, Vol. 35 Issue 10, p1131-1138, 8p, 5 Charts
Publication Year :
2008

Abstract

While body fat is the most accurate measure of obesity, its measurement requires special equipment that can be costly and time consuming to operate. Attention has thus typically focused on the easier to calculate body mass index (BMI). However, the ability of BMI to accurately identify obesity has been increasingly questioned. This paper focuses attention on whether more general body mass indices are appropriate measures of body fat. Using a data set of body fat, height, and weight measurements, general models are estimated which nest a wide variety of weight-height indices as special cases. In the absence of a race and gender categorisation, the conventional BMI was found to be the appropriate index with which to predict body fat. When such a categorisation was made, however, the BMI was never selected as the appropriate index. In general, predicted female body fat was some 10 kg higher than that of a male of identical build and predicted % body fat was over 11 percentage points higher, but age effects were smaller for females. Considerable racial differences in predicted body fat were found for males, but such differences were less marked for females. The implications of this finding for interpreting recent research on the effect of obesity on health, society, and economic factors are considered. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02664763
Volume :
35
Issue :
10
Database :
Complementary Index
Journal :
Journal of Applied Statistics
Publication Type :
Academic Journal
Accession number :
33826482
Full Text :
https://doi.org/10.1080/02664760802264707