Relationships among body composition measures in community-dwelling older women.
OBJECTIVE
To examine whether simple anthropometric measures provide a good estimate of total and visceral fat in 146 community-dwelling, older white women (mean age, 74.0 +/- 4.1 years).


METHODS
Total body fat and visceral fat were measured using electron beam computed tomography (EBT). Anthropometric parameters (height, weight, BMI, sagittal diameter, and waist circumference) were measured using standard techniques. Total percentage body fat was assessed using DXA. Spearman correlations were used to examine the association between the measures. Linear regression, controlling for age, was used to examine the associations between the anthropometric parameters and total and visceral body fat measured by EBT.


RESULTS
Correlations among body composition measures ranged from rho = 0.46 to 0.93 (p < 0.0001). EBT total fat was strongly correlated with both DXA estimates of total percentage fat (rho = 0.86) and BMI (rho = 0.89). Separate linear regression models indicated that BMI, waist circumference, sagittal diameter, and DXA total percentage fat were each independently related to EBT total fat. BMI had the strongest linear relationship, explaining 80% of the model variance (p < 0.0001). Linear regression indicated that BMI, waist circumference, and sagittal diameter were each independently related to EBT visceral fat, with BMI and sagittal diameter explaining approximately 53% of the model variance (p < 0.0001).


CONCLUSIONS
The use of simple anthropometric measures such as BMI, sagittal diameter, and waist circumference may be an appropriate alternative for more expensive techniques when assessing total fat but should be used with caution when estimating visceral body fat.
Storti
Kristi L
KL
Department of Epidemiology, Graduate School of Public Health, University of Pittsburg, Pittsburgh, Pennsylvania 15261, USA. klsst75@pitt.edu
Brach
Jennifer S
JS
FitzGerald
Shannon J
SJ
Bunker
Clareann H
CH
Kriska
Andrea M
AM
D015502:Absorptiometry, Photon / Q000379:methods*; D000368:Aged; D000886:Anthropometry / Q000379:methods*; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D015331:Cohort Studies; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000033:anatomy & histology*; D016014:Linear Models; D012044:Regression Analysis; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed / Q000379:methods*; D049629:Waist-Hip Ratio