Table 4.

AUCs, optimal cut-off, sensitivity, specificity, PPV and NPV for the anthropometric indices in ROC analysis for predicting MetS

Anthropometric Indices	AUC (95% CI)	p	Cut-off	Sensitivity	Specificity	Youden Index	PPV	NPV
Male
WC	0.76 (0.67 to 0.84)	<0.001	84.0	0.95	0.54	0.49	0.56	0.95
BMI	0.77 (0.68 to 0.85)	<0.001	24.94	0.69	0.75	0.44	0.63	0.80
WHR	0.73 (0.64 to 0.81)	<0.001	0.89	0.76	0.64	0.40	0.56	0.81
ABSI	0.58*(0.49 to 0.68)	0.149	0.0822	0.29	0.88	0.17	0.60	0.67
AVI	0.76 (0.67 to 0.84)	<0.001	14.25	0.95	0.54	0.49	0.56	0.95
BAI	0.59*(0.49 to 0.68)	0.124	27.44	0.40	0.87	0.27	0.65	0.70
BRI	0.74 (0.65 to 0.82)	<0.001	3.47	0.81	0.58	0.39	0.54	0.83
CI	0.67*(0.58 to 0.76)	<0.001	1.21	0.83	0.45	0.28	0.48	0.81
VAI	0.65*(0.55 to 0.74)	0.005	1.06	0.83	0.48	0.31	0.49	0.82
Female
WC	0.71 (0.64 to 0.79)	<0.001	80.0	0.82	0.60	0.42	0.39	0.91
BMI	0.71 (0.63 to 0.78)	<0.001	25.14	0.59	0.78	0.37	0.46	0.86
WHR	0.68 (0.59 to 0.75)	<0.001	0.81	0.91	0.37	0.28	0.31	0.93
ABSI	0.55*(0.47 to 0.64)	0.358	0.0799	0.32	0.81	0.13	0.35	0.79
AVI	0.72 (0.64 to 0.79)	<0.001	13.03	0.82	0.60	0.42	0.39	0.91
BAI	0.64 (0.56 to 0.72)	0.013	30.38	0.53	0.74	0.27	0.39	0.83
BRI	0.71 (0.63 to 0.79)	<0.001	3.58	0.71	0.66	0.37	0.40	0.88
CI	0.63 (0.54 to 0.71)	0.020	1.23	0.44	0.81	0.25	0.42	0.82
VAI	0.66 (0.58 to 0.74)	0.001	1.36	0.79	0.52	0.31	0.34	0.89

DeLong. Delong. Clarke-Pearson’s nonparametric approach was used to compare the AUCs of indices.

*Compared with the AUC of waist circumference, p is less than 0.05.

ABSI, a body shape index; AUC, area under curve; AVI, abdominal volume index; BAI, body adiposity index; BMI, body mass index; BRI, body roundness index; CI, conicity; MetS, metabolic syndrome; NPV, negative predictive value; PPV, positive predictive value; ROC, receiver operating characteristic; VAI, visceral adiposity index; WC, waist circumference; WHR, waist-to-hip ratio.