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.
 Variable Area under the ROC curve (95% C.I.) Significancea Optimal cut-off pointb Sensitivity Specificity Balanced accuracy PPVc PNVd BMI percentile Overall 0.651 (0.547–0.755) = 0.008e 99 61.8% 66.7% 64.3% 75.0% 51.9% Female 0.606 (0.441–0.771) = 0.217 99 65.5% 68.4% 67.0% 76.0% 56.5% Male 0.677 (0.540–0.814) = 0.021e 98 76.9% 56.5% 66.7% 75.0% 59.1% WC (cm) Overall 0.704 (0.604–0.804) < 0.001e 90 67.6% 66.7% 67.2% 76.7% 56.0% Female 0.708 (0.561–0.854) = 0.016e 95 55.2% 84.2% 69.7% 84.2% 55.2% Male 0.696 (0.556–0.836) = 0.011e 90 74.4% 65.2% 69.8% 78.4% 60.0% WHtR Overall 0.652 (0.544–0.759) = 0.008e 0.60 69.1% 57.1% 63.1% 72.3% 53.3% Female 0.682 (0.528–0.836) = 0.034e 0.60 69.0% 63.2% 66.1% 74.1% 57.1% Male 0.627 (0.477–0.776) = 0.098 0.63 53.8% 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.