Anthropometric equations for estimating abdominal adipose tissue distribution in women.
OBJECTIVE
(1) to develop multiple regression equations for predicting computed tomography (CT) derived intra-abdominal (IAF), subcutaneous (SCF) and total (TOTF = IAF + SCF) abdominal adipose tissue areas from anthropometric measures and (2) to validate the equations.


METHODS
Cross-sectional study.


METHODS
204 healthy Caucasian females subjects with a large range of age (17-76 years) and percentage body fat (8.8%-48.1%). Fifty-one subjects served as an independent sub-sample for the validation of the equations.


METHODS
Various fatness and fat distribution parameters (hydrodensitometry, single CT scan, skinfold and circumference measures).


RESULTS
Multiple regression equations were developed to estimate IAF, SCF and TOTF. R2 for IAF, SCF and TOTF was 0.75, 0.81 and 0.85, respectively. The equations were validated on an independent sub-sample of 51 subjects. All three equations met validation criteria with R2 validations of 0.79, 0.71 and 0.84 for IAF, SCF and TOTF, respectively.


CONCLUSIONS
These equations might be used as an inexpensive estimation of IAF, SCF and TOTF in adult Caucasian females varying greatly in age and percentage body fat.
Kekes-Szabo
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Department of Human Studies, University of Alabama at Birmingham 35294-1250, USA.
Hunter
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Nyikos
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Williams
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Blaudeau
T
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Snyder
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D000005:Abdomen; D000273:Adipose Tissue / Q000502:physiology*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D003430:Cross-Sectional Studies; D003720:Densitometry; D005260:Female; D006801:Humans; D008875:Middle Aged; D008954:Models, Biological; D012044:Regression Analysis; D012867:Skin; D014057:Tomography, X-Ray Computed