Body Mass Index: From Quételet to Evidence ... - Giorgio Bedogni
Body Mass Index: From Quételet to Evidence ... - Giorgio Bedogni
Body Mass Index: From Quételet to Evidence ... - Giorgio Bedogni
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4<br />
<strong>Giorgio</strong> <strong>Bedogni</strong>, Claudio Tiribelli and Stefano Bellentani<br />
Figure 2. Relationship between percent body fat and BMI in a sample of 1423 Italian elderly women.<br />
Abbreviations: R 2 = coefficient of determination; SEE = standard error of the estimate; SEE% = percent<br />
standard error of the estimate. Modified from <strong>Bedogni</strong> et al. [18].<br />
The traditional approach <strong>to</strong> establish the accuracy of BMI as an index of body fat is <strong>to</strong><br />
perform a regression analysis as described above. Another approach, which is more suitable<br />
for screening purposes, is based on the calculation of the sensitivity (true positive rate) and<br />
specificity (true negative rate) of BMI in detecting excess body fat [19]. BMI has generally a<br />
low sensitivity and a high specificity in detecting excess adiposity. For instance, in a study of<br />
934 Italian children aged 8-12 years [20], sensitivity and specificity of BMI in detecting a<br />
value of percent body fat greater than the 85 th percentile were 0.39 and 0.99 for the 95 th<br />
percentile and 0.65 and 0.95 for the 85 th percentile of BMI, respectively. When a direct<br />
measure of adiposity is needed, skinfold thicknesses offer a low-cost and easy way <strong>to</strong><br />
evaluate subcutaneous adipose tissue [17]. In the study performed on Italian children [20], the<br />
sensitivity of the log-transformed sum of four skinfolds (biceps, triceps, subscapular and<br />
suprailiac [14]) in detecting excess adiposity were 0.75 and 0.94 for the 85 th percentile. Thus,<br />
the use of the 85 th percentile of the sum of four skinfolds instead of the 85 th percentile of BMI<br />
may increase the sensitivity of screening programs of excess adiposity in children without any<br />
relevant loss in specificity.<br />
The use of BMI as an index of adiposity is more difficult in children than in adults<br />
because of varying growth rates and maturity levels [21]. Standardization of BMI for age is<br />
always necessary in children <strong>to</strong> avoid spurious interpretations [21]. Likewise, similar values<br />
of BMI may reflect a different body composition in elderly as compared <strong>to</strong> young adults [22].<br />
For instance, when matched with young women of similar weight and stature, elderly women<br />
have higher body fat and lower fat-free mass, <strong>to</strong>tal body water and bone mineral content [23].<br />
There is also increasing evidence that the relationship between body fat and BMI may differ<br />
among individuals of different ethnic background [24, 25]. This evidence, <strong>to</strong>gether with that<br />
derived from epidemiological studies of morbidity and mortality (see next paragraph), has<br />
suggested the need of ethnic-specific BMI cut-off points [26].