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Objective and Methods: In a cross-sectional design, the sensitivity and specificity of the Quetelet Index (QI) was determined in relation to percent body fat standards. Subjects were 1280 men and 365 women asymptomatic for coronary heart disease. Contingency tables by QI quartiles were created using two sets of criteria of obesity: body fat > or = 25% and QI > or = 28 kg.m-2 for men and 30% and 27 kg.m-2 for women. Percent body fat was determined with hydrodensitometry in all subjects., Results: In men, sensitivity, positive, and negative predictive value of QI in relation to percent body fat was 54.5%, 91.8%, 82.7% and 73.8%, respectively. The corresponding values for women were 26.9%, 98.2%, 90.7% and 67.1%. Sensitivity of QI was 2.03 times greater for men than for women (P < 0.001). Receiver operator characteristic (ROC) curve analysis suggested that an acceptable trade-off between sensitivity (91%) and specificity (47%) occurred at a QI of 24.5 kg.m-2 for men and at a QI of 22 kg.m-2 for women., Conclusions: The data suggest that in an asymptomatic population, percent body fat-based QI cut-off values may misclassify the obese. A fat mass-based reference system could perhaps lead to an improved classification outcome.

The purpose of this study was to compare the accuracy of four methods to assess body composition of women. Seventy-seven Caucasian women [mean (+/- SD) age: 31.8 +/- 8.6 years; mass: 59.5 +/- 9.1 kg; stature: 162.4 +/- 6.9 cm; Quetelet Index: 22.5 +/- 3.1 kg/m2] were tested for percent body fat (%BF) with hydrostatic weighing (HW), near-infrared spectrophotometry (NIR), bioelectrical impedance analysis (BIA), and seven-site skinfolds (7-SFs). Compared to %BF with HW (24.9 +/- 6.5%), an analysis of variance revealed no mean differences (P > or = 0.05) among %BF with NIR (26.0 +/- 5.5%), BIA (25.7 +/- 5.8%) and 7-SFs (24.0 +/- 6.0%). The correlations between %BF with HW and NIR, BIA and 7-SF were r = 0.47, r = 0.77, and r = 0.79, respectively (P < or = 0.05), and prediction errors (SEE) were 5.8%, 4.2%, and 4.1%. Comparisons of %BF obtained from machine readings versus those computed from the manufacturer's equation indicated significant differences for the BIA (machine 25.7%, equation 27.8%) and NIR (machine 26.0%, equation 21.5%) methods. We concluded that although the mean %BF differences were small among the four methods, the large SEE values may allow the use of BIA and 7-SFs but not NIR. Inaccuracies of machine readings versus equation-computed %BF indicate that BIA and NIR variables and/or constants in the equations supplied are not identical to those used in machine-generated calculations.

Percent body fat (%BF) was assessed in 171 men with underwater weighing (UWW), seven-site skinfolds (7 SF), and near-infrared spectrophotometry (NIR). NIR was determined at eight sites, including biceps, triceps, axilla, chest, abdomen, suprailium, subscapula and thigh. Analysis of variance and Dunnett's post-hoc procedure revealed that NIR significantly (P less than 0.05) underpredicted %BF when using the biceps (12.9%), chest (11.3%), abdomen (10.2%), subscapula (11.3%) and thigh (9.9%) sites compared to the criterion %BF measured with UWW (13.4% +/- SD = 6.49). %BF with 7 SF was only 0.3% higher than %BF with UWW (r = 0.94, standard error of estimate = 2.9%). Correlation coefficients between SF thickness and NIR optical density readings at 940 nm (OD1) and 950 nm (OD2) wavelengths ranged from r = -0.30 (subscapula) to r = -0.67 (biceps) for OD1 and r = -0.39 (axilla) to r = -0.68 (biceps) for OD2. Multiple linear regression showed that the OD readings were not significant predictors of UWW %BF when using body mass, stature, activity level, and frame size as predictors, except for the OD2 reading at the biceps site. Stepwise regression revealed that NIR OD readings did not predict additional variance in %BF beyond mass, stature, activity level, frame size, or 7 SF. It was concluded that 7 SF are better predictors of %BF than NIR, and that NIR at multiple sites is inconsistent in assessing body composition.