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Inverted BMI rather than BMI is a better proxy for percentage of body fat
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|Title: ||Inverted BMI rather than BMI is a better proxy for percentage of body fat|
|Citation: ||Annals of Human Biology|
|Publisher: ||Informa UK, Ltd.|
|Journal: ||Annals of Human Biology|
|Issue Date: ||2011 |
|Additional Links: ||http://informahealthcare.com/doi/abs/10.3109/03014460.2011.606832|
|Abstract: ||Background: Percentage of body fat (BF%) is a known risk
factor for a range of healthcare problems but is difficult to
measure. An easy to measure proxy is the weight/height2 ratio
known as the Body Mass Index (BMI kg/m2). However, BMI
does have some inherent weaknesses which are readily
overcome by its inverse iBMI (1000/BMI, cm2/kg).
Methods: The association between BF% and both BMI and iBMI
together with their distributional properties was explored
using previously published data from healthy (n ¼ 2993)
and diseased populations (n ¼ 298).
Results: BMI is skewed whereas iBMI is symmetrical and so
is better approximated by the normal distribution. The
relationship between BF% and BMI is curved, but that of iBMI
and BF% is linear and thus iBMI explains more of the variation
in BF% than BMI. For example a unit increase in BMI for a
group of thin women represents an increase of 2.3% in BF, but
for obese women this represents only a 0.3% increase in BF—a
7-fold difference. The curvature stems from body mass being
the numerator in BMI but the denominator in BF% resulting
in a form of hyperbolic curve which is not the case with iBMI.
Furthermore, BMI and iBMI have different relationships
(interaction) with BF% for men and women, but these
differences are less marked with iBMI.
Conclusions: Overall, these characteristics of iBMI favour its use
over BMI, especially in statistical models|
|Description: ||Published on-line ahead of print|
|Keywords: ||Body mass index|
Inverted body mass index
|Appears in Collections: ||Learning and Teaching in Sport, Exercise and Performance|
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