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Departments of Exercise Science and Foods and Nutrition, University of Georgia, Athens, Georgia 30602-3654
Received 21 November 1996; accepted in final form 15 April 1997.
Prior, Barry M., Kirk J. Cureton, Christopher M. Modlesky,
Ellen M. Evans, Mark A. Sloniger, Michael Saunders, and Richard D. Lewis. In vivo validation of whole body composition estimates from
dual-energy X-ray absorptiometry. J. Appl.
Physiol. 83(2): 623-630, 1997.
We validated whole
body composition estimates from dual-energy X-ray absorptiometry (DEXA)
against estimates from a four-component model to determine whether
accuracy is affected by gender, race, athletic status, or
musculoskeletal development in young adults. Measurements of body
density by hydrostatic weighing, body water by deuterium dilution, and
bone mineral by whole body DEXA were obtained in 172 young men
(n = 91) and women
(n = 81). Estimates of body fat
(%Fat) from DEXA (%FatDEXA)
were highly correlated with estimates of body fat from the
four-component model [body density, total body water, and total
body mineral (%Fatd,w,m);
r = 0.94, standard error of the
estimante (SEE) = 2.8% body mass (BM)] with no significant
difference between methods [mean of the difference ± SD of
the difference =
0.4 ± 2.9 (SD) % BM,
P = 0.10] in women and men. On
the basis of the comparison with
%Fatd,w,m, estimates of
%FatDEXA were slightly more
accurate than those from body density
(r = 0.91, SEE = 3.4%; mean of the difference ± SD of the difference =
1.2 ± 3.4% BM).
Differences between %FatDEXA and
%Fatd,w,m were weakly related to
body thickness, as reflected by BMI (r =
0.34), and to the percentage of water in the fat-free mass
(r =
0.51), but were not
affected by race, athletic status, or musculoskeletal development. We
conclude that body composition estimates from DEXA are accurate
compared with those from a four-component model in young adults who
vary in gender, race, athletic status, body size, musculoskeletal
development, and body fatness.
body composition; body water; bone mineral; densitometry; women; gender; men; multicomponent models; musculoskeletal development; race
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