Association between visceral fat area and metabolic syndrome in individuals with normal body weight: insights from a Chinese health screening dataset

Table 4 Predictive performance of four variables to estimate MetS

	VFA	SFA	TFA	VFA/SFA
AUC (95% CI)	0.844	0.573	0.830	0.730
P-value (vs. VFA)	-	< 0.001	0.259	< 0.001
Cutoff	162.85	82.45	241.30	1.733
Sensitivity, %	0.839	0.664	0.722	0.654
Specificity, %	0793	0.443	0.684	0.677
Accuracy	0.785	0.477	0.701	0.674
PPV	0.388	0.176	0.323	0.267
NPV	0.959	0.881	0.941	0.916
PLR	3.490	1.193	2.659	2.029
NLR	0.251	0.757	0.235	0.510

The optimal cutoff values were determined using the Youden index. P-values were calculated by comparing the AUC of each parameter with that of VFA using DeLong’s test. MetS, metabolic syndrome; VFA, visceral fat area; SFA, subcutaneous fat area; TFA, total fat area; AUC, area under the receiver operating characteristic curve; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value; PLR, positive likelihood ratio; NLR, negative likelihood ratio

ISSN: 1476-511X