부산대학교 도서관

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 == 2993) and diseased populations ( n == 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. [ABSTRACT FROM AUTHOR]