Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

Table 5

AUCs, optimal cut-off points, and sensitivities and specificities of the cut-off points of the anthropometric indices for predicting MetS in the ROC analyses according to age group.

Index	Age group	Women					Men
		AUC	95% CI	Cut-off	Sen	Spe	AUC	95% CI	Cut-off	Sen	Spe
BMI	Global	0.760^ac	0.753–0.767	23.03	0.704	0.688	0.719^ac	0.714–0.724	24.64	0.709	0.613
	High sensitivity			22.27	0.800	0.580			23.91	0.800	0.511
	<45	0.761^ac	0.747–0.775	22.10	0.746	0.650	0.734^a	0.727–0.742	24.88	0.690	0.657
	45–59	0.699^a	0.688–0.711	23.52	0.657	0.638	0.700^a	0.692–0.709	24.65	0.711	0.581
	≥60	0.673^a	0.650–0.696	23.45	0.694	0.568	0.722^a	0.706–0.738	24.56	0.686	0.650
WC	Global	0.770^ab	0.763–0.777	77.25	0.726	0.677	0.721^ab	0.716–0.726	87.25	0.703	0.621
	High sensitivity			75.75	0.809	0.589			84.75	0.826	0.478
	<45	0.740^ab	0.726–0.755	74.75	0.704	0.655	0.731^a	0.723–0.738	85.80	0.750	0.587
	45–59	0.701^a	0.689–0.712	78.75	0.700	0.587	0.695^a	0.687–0.703	87.25	0.737	0.546
	≥60	0.672^a	0.649–0.695	80.25	0.751	0.506	0.723^a	0.707–0.740	88.25	0.678	0.645
WHtR	Global	0.782^abc	0.776–0.789	0.490	0.735	0.689	0.727^abc	0.721–0.732	0.510	0.748	0.584
	High sensitivity			0.480	0.800	0.618			0.503	0.800	0.524
	<45	0.751^abc	0.737–0.765	0.477	0.654	0.716	0.736^ac	0.729–0.744	0.502	0.752	0.601
	45–59	0.707^ac	0.695–0.718	0.498	0.698	0.604	0.698^a	0.690–0.706	0.524	0.668	0.625
	≥60	0.676^a	0.653–0.699	0.531	0.669	0.592	0.720^a	0.703–0.736	0.529	0.689	0.638
ABSI	Global	0.648^abc	0.640–0.657	0.0769	0.565	0.655	0.585^abc	0.579–0.591	0.0790	0.586	0.540
	High sensitivity			0.0738	0.800	0.379			0.0767	0.800	0.307
	<45	0.569^abc	0.552–0.585	0.0731	0.712	0.394	0.570^abc	0.561–0.578	0.0765	0.716	0.386
	45–59	0.581^abc	0.568–0.593	0.0772	0.533	0.589	0.559^abc	0.550–0.568	0.0789	0.671	0.426
	≥60	0.571^abc	0.547–0.596	0.0781	0.732	0.397	0.582^abc	0.563–0.600	0.0801	0.672	0.466
BRI	Global	0.782^abc	0.776–0.789	3.179	0.735	0.689	0.727^abc	0.721–0.732	3.547	0.748	0.584
	High sensitivity			2.996	0.800	0.618			3.413	0.800	0.524
	<45	0.751^abc	0.737–0.765	2.931	0.654	0.716	0.736^ac	0.729–0.744	3.388	0.752	0.602
	45–59	0.707^ac	0.695–0.718	3.329	0.699	0.604	0.698^a	0.690–0.706	3.818	0.668	0.625
	≥60	0.676^a	0.653–0.699	3.963	0.669	0.592	0.720^a	0.703–0.736	3.929	0.689	0.638
CI	Global	0.716^abc	0.709–0.724	1.178	0.685	0.635	0.660^abc	0.655–0.666	1.231	0.688	0.548
	High sensitivity			1.151	0.800	0.494			1.211	0.800	0.416
	<45	0.655^abc	0.639–0.670	1.144	0.669	0.565	0.661^abc	0.652–0.669	1.214	0.693	0.544
	45–59	0.640^abc	0.628–0.652	1.190	0.634	0.571	0.630^abc	0.621–0.639	1.248	0.649	0.544
	≥60	0.623^abc	0.600–0.647	1.234	0.680	0.517	0.654^abc	0.637–0.672	1.281	0.548	0.687

AUC: area under the curve; MetS: metabolic syndrome; ROC: receiver-operating characteristic; 95% CI: 95% confidence interval; Sen: sensitivity; Spe: specificity; BMI: body mass index; WC: waist circumference; WHtR: waist-to-height ratio; ABSI: a body shape index; BRI: body roundness index; CI: conicity index. AUC in the ROC analysis, . Hanley and McNeil’s approach was used to compare the AUCs of the indices. , compared with the AUC of BMI; , compared with the AUC of WC. The bold indicates the highest AUC value among the indices.