Table 2.

Area under ROC curve (AUC), optimal cut-off values, sensitivities, specificities and Youden index of anthropometric indices in predicting high blood pressure according to sex in group A

Body composition indices	AUC (95% CI)	P value	Cut-off value	Sensitivity (%) (95% CI)	Specificity (%) (95% CI)	Youden index	χ²*	P value*
Total (n=513)
BMI-for-age z-score	0.835 (0.782 to 0.889)	<0.001	1.47	68.9(0.556 to 0.798)	83.6 (0.798 to 0.869)	0.525	0.62	0.433
WC percentile	0.828 (0.768 to 0.888)	<0.001	73.0	80.3 (0.678 to 0.890)	72.1 (0.677 to 0.762)	0.525	0.15	0.703
WHtR	0.823 (0.759 to 0.887)	<0.001	0.44	90.2 (0.791 to 0.959)	63.7 (0.591 to 0.681)	0.539	–	–
ABSI	0.735 (0.662 to 0.809)	<0.001	0.14	68.9 (0.556 to 0.798)	71.5 (0.670 to 0.755)	0.403	19.63	<0.001
Males (n=211)
BMI-for-age z-score	0.817 (0.723 to 0.912)	<0.001	1.87	69.2 (0.481 to 0.849)	84.3 (0.781 to 0.891)	0.536	2.38	0.123
WC percentile	0.781 (0.671 to 0.891)	<0.001	78.0	57.7 (0.372 to 0.760)	90.8 (0.855 to 0.944)	0.485	0.30	0.581
WHtR	0.789 (0.675 to 0. 903)	<0.001	0.52	65.4 (0.444 to 0.821)	87.6 (0.817 to 0.918)	0.530	–	–
ABSI	0.709 (0.577 to 0.841)	<0.001	0.15	65.4 (0.444 to 0.821)	85.4 (0.793 to 0.900)	0.508	10.35	0.001
Females (n=302)
BMI-for-age z-score	0.854 (0.793 to 0.916)	<0.001	1.18	71.4 (0.535 to 0.848)	83.5 (0.784 to 0.877)	0.549	0.00	0.985
WC percentile	0.863 (0.798 to 0.927)	<0.001	73.0	85.7 (0.690 to 0.946)	74.2 (0.684 to 0.792)	0.599	0.19	0.667
WHtR	0.854 (0.781 to 0.927)	<0.001	0.45	94.3 (0.795 to 0.990)	65.9 (0.599 to 0.716)	0.602	–	–
ABSI	0.756 (0.670 to 0.843)	<0.001	0.14	82.9 (0.657 to0.928)	62.9 (0.568 to 0.687)	0.458	11.72	0.001

*Comparison of the AUC value of WHtR with the other anthropometric indices.

ABSI, a body shape index; AUC, area under the curve; BMI, body mass index; ROC, receiver operating characteristic; WC, waist circumference; WHtR, waist-to-height ratio.