. 2021 Jul 18;13(1):188–200. doi: 10.1007/s13340-021-00522-5

Table 4.

Area under the curve, optimal cut-off points (using Youden Index), sensitivity and specificity for MetS risk factors, and novel anthropometric indices in ROC analysis to identify MetS

Variable	AUC	95% CI	p*	Cut-off	Sensitivity	Specificity	YI	p^a (WHtR)	p^b (FPG)	p^c (BRI)	p^d (CI)	p^e (AVI)
MetS risk factors
BMI	0.624	0.554–0.691	0.002	> 26.1	65.09	64.42	0.2551	0.001	0.001	0.001	0.001	0.001
WC	0.665	0.595–0.730	0.001	> 100	57.74	89.58	0.2732	0.001	0.001	0.001	0.001	0.001
WHR	0.678	0.609–0.742	0.001	> 0.96	55.28	83.33	0.2862	0.002	0.001	0.004	0.010	0.028
WHtR	0.816	0.756–0.867	0.001	> 0.58	75.47	75.00	0.5047	–	0.001	–	–	–
FPG	0.943	0.902–0.971	0.001	> 105	85.85	88.54	0.7439	–	–	–	–	–
HOMA-IR	0.696	0.628–0.759	0.001	> 2.8	58.49	77.08	0.3557	0.012	0.001	0.025	0.092	0.142
TG/HDL	0.738	0.672–0.797	0.001	> 3.2	61.32	84.37	0.4570	0.082	0.001	0.141	0.319	0.454
AIP	0.715	0.647–0.776	0.001	> 0.5	51.89	88.54	0.4043	0.022	0.001	0.045	0.125	0.204
MAP	0.637	0.567–0.703	0.001	> 88	82.08	46.88	0.2895	0.001	0.001	0.001	0.002	0.006
Fat percent	0.647	0.577–0.713	0.001	> 36.5	50.19	82.71	0.2290	0.001	0.001	0.001	0.003	0.007
Novel anthropometric measures
ABSI	0.629	0.559–0.696	0.003	> 0.08	59.30	75.01	0.2500	0.001	0.001	0.001	0.001	0.001
AVI	0.771	0.707–0.827	0.001	> 17.3	82.08	58.33	0.4141	0.081	0.001	0.122	0.675	–
BAI	0.669	0.600–0.733	0.001	> 29.24	71.43	55.81	0.2816	0.001	0.001	0.001	0.005	0.006
BRI	0.805	0.744–0.857	0.001	> 4.76	66.04	82.29	0.5192	0.479	0.001	–	–	–
CI	0.782	0.718–0.837	0.001	> 1.06	63.27	93.20	0.4346	0.201	0.001	0.374	–	–
LAP	0.670	0.601–0.735	0.001	> 64.3	42.86	88.37	0.3023	0.001	0.001	0.001	0.001	0.002
VAI	0.683	0.614–0.747	0.001	> 4.8	56.60	85.42	0.3402	0.008	0.001	0.014	0.020	0.033
WTI	0.732	0.664–0.792	0.001	> 129.65	80.19	53.13	0.3904	0.016	0.001	0.036	0.117	0.194

Cut-off values corresponding with the highest Youden index. DeLong. Clarke-Pearson’s nonparametric approach was used to compare the AUCs of indices

AUC area under the curve, 95% CI confidence interval, ROC receiver operating characteristic, YI Youden Index; and others as in Tables 1, 2, and 3. p^a, p^b, p^c, p^d, p^e compared the AUC’s of MetS risk factors and novel anthropometric indices with the AUC’s of WHtR, FPG, BRI, AVI, and CI, respectively

*Significant ability of each index to separate MetS and non-MetS