International Journal of Endocrinology / 2014 / Article / Tab 4

Research Article

Waist-to-Height Ratio Is a Better Anthropometric Index than Waist Circumference and BMI in Predicting Metabolic Syndrome among Obese Mexican Adolescents

Table 4

Area under the ROC curves and 95% confidence intervals for the selected anthropometric indices, with cut-offs for the sensitivity, specificity, balanced accuracy, PPV, and PNV of an MS diagnosis.

VariableArea under the ROC curve (95% C.I.)SignificanceaOptimal cut-off pointbSensitivitySpecificityBalanced accuracyPPVcPNVd

BMI percentile
 Overall0.651 (0.547–0.755) = 0.008e9961.8%66.7%64.3%75.0%51.9%
 Female0.606 (0.441–0.771) = 0.2179965.5%68.4%67.0%76.0%56.5%
 Male0.677 (0.540–0.814) = 0.021e9876.9%56.5%66.7%75.0%59.1%
WC (cm)
 Overall0.704 (0.604–0.804) < 0.001e9067.6%66.7%67.2%76.7%56.0%
 Female0.708 (0.561–0.854) = 0.016e9555.2%84.2%69.7%84.2%55.2%
 Male0.696 (0.556–0.836) = 0.011e9074.4%65.2%69.8%78.4%60.0%
WHtR 
 Overall0.652 (0.544–0.759) = 0.008e0.6069.1%57.1%63.1%72.3%53.3%
 Female0.682 (0.528–0.836) = 0.034e0.6069.0%63.2%66.1%74.1%57.1%
 Male0.627 (0.477–0.776) = 0.0980.6353.8%69.6%61.7%75.0%47.1%

In all cases, 110 subjects (48 females and 62 males) were considered.
aNull hypothesis: area = 0.5.
bPositive if assessment is more than or equal to the optimal cut-off point; it was calculated as the minimum value of the square root of the following: [(1 − sensitivity)2 + (1 − specificity)2], and greater accuracy is reflected by a smaller distance to point (0, 1) in the ROC curve.
cPPV: predictive positive value.
dPNV: predictive negative value.
eSignificant values.