Evaluating body fat in girls and female adolescents: advantages and disadvantages of dual-energy X-ray absorptiometry.
BACKGROUND
Within the past 10 y, dual-energy X-ray absorptiometry (DXA) has become one of the most widely used methods of measuring human body composition. However, DXA has not been fully evaluated against an independent criterion method of measuring body fatness in young females.


OBJECTIVE
Our objective was to determine the bias and agreement between DXA and a 4-compartment model in predicting the percentage of fat mass (%FM) in a multiethnic group of young females.


METHODS
The %FM values measured by DXA of 73 white, 43 African American, 14 Hispanic, and 11 Asian females with a mean (+/- SD) age of 13.0 +/- 1.9 y were compared with the 4-compartment values, which were based on measurements of body density, body water, and bone mineral content.


RESULTS
The %FM values measured by the 2 methods were correlated at r = 0.90 with an SEE of 3.3%; Bland-Altman analysis indicated an average bias of 3.9%. After nullification of the average bias, an individual estimate of %FM by DXA could be underestimated or overestimated by 6.7% when compared with the 4-compartment value.


CONCLUSIONS
DXA is an appropriate method for estimating body composition in a group of young females because its bias and limits of agreement are independent of age, ethnicity, and body fatness. However, the limits of agreement of 6.7% could cause an individual FM value to be underestimated or overestimated by 28% relative to the 4-compartment value. Therefore, DXA may not be the optimal method of measuring the body fatness of young females.
Wong
William W
WW
US Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center and Texas Children's Hospital, Department of Pediatrics, Baylor College of Medicine, Houston 77030, USA. wwong@bcm.tmc.edu
Hergenroeder
Albert C
AC
Stuff
Janice E
JE
Butte
Nancy F
NF
Smith
E O'Brian
EO
Ellis
Kenneth J
KJ
D015502:Absorptiometry, Photon / Q000379:methods*; D000273:Adipose Tissue; D000293:Adolescent; D015992:Body Mass Index; D002648:Child; D005260:Female; D006801:Humans; D008954:Models, Biological; D044469:Racial Groups; D012044:Regression Analysis