Research Article

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

Table 4

AUCs, optimal cut-off points, and sensitivities and specificities of the cut-off points of the anthropometric indices for predicting cardiometabolic risk factors in the ROC analyses.

ComponentsBMIWCWHtRABSIBRICI
AUC (95% CI)Cut-offSen
Spe
AUC (95% CI)Cut-offSen
Spe
AUC (95% CI)Cut-offSen
Spe
AUC (95% CI)Cut-offSen
Spe
AUC (95% CI)Cut-offSen
Spe
AUC (95% CI)Cut-offSen
Spe

Women
Hypertension0.738ac
(0.728–0.748)
23.180.704
0.663
0.752ab
(0.743–0.762)
78.200.706
0.647
0.769abc
(0.761–0.778)
0.4980.715
0.694
0.648abc
(0.638–0.659)
0.07580.682
0.537
0.769abc
(0.761–0.778)
3.330.717
0.694
0.711abc
(0.701–0.721)
1.1900.660
0.657
Diabetes/IFG0.699a
(0.693–0.705)
23.820.692
0.606
0.710a
(0.704–0.716)
79.250.606
0.704
0.722abc
(0.716–0.727)
0.4900.695
0.633
0.626abc
(0.520–0.632)
0.07690.561
0.627
0.722abc
(0.716–0.727)
3.180.695
0.633
0.676abc
(0.670–0.682)
1.1800.656
0.601
High TG0.729ac
(0.723–0.734)
23.000.690
0.655
0.741ab
(0.735–0.747)
77.250.713
0.647
0.752abc
(0.746–0.758)
0.4890.725
0.652
0.638abc
(0.632–0.644)
0.07700.556
0.651
0.752abc
(0.746–0.758)
3.160.725
0.652
0.697ac
(0.691–0.703)
1.1730.711
0.585
Low HDL-C0.644a
(0.637–0.650)
22.210.613
0.601
0.643a
(0.637–0.649)
75.750.599
0.612
0.643a
(0.637–0.650)
0.4730.624
0.589
0.564abc
(0.558–0.571)
0.07460.640
0.458
0.643a
(0.637–0.650)
2.870.624
0.589
0.603abc
(0.597–0.609)
1.1430.684
0.465
High LDL-C0.628ac
(0.622–0.634)
22.290.643
0.543
0.635ab
(0.629–0.641)
76.750.608
0.597
0.645abc
(0.639–0.652)
0.4740.678
0.533
0.577abc
(0.570–0.583)
0.07640.515
0.599
0.645abc
(0.639–0.652)
2.890.678
0.533
0.611abc
(0.605–0.617)
1.1730.594
0.576
Hyperuricemia0.722a
(0.716–0.728)
22.960.729
0.607
0.724a
(0.718–0.730)
79.250.657
0.683
0.728a
(0.722–0.733)
0.5020.665
0.675
0.609abc
(0.603–0.615)
0.07590.636
0.532
0.728a
(0.722–0.733)
3.390.665
0.675
0.671abc
(0.655–0.677)
1.1870.643
0.615
NAFLD0.837ac
(0.833–0.842)
23.260.806
0.718
0.831ab
(0.826–0.836)
78.450.795
0.715
0.832ab
(0.827–0.836)
0.4980.782
0.732
0.643abc
(0.636–0.649)
0.07630.612
0.599
0.832ab
(0.827–0.837)
3.330.782
0.732
0.738abc
(0.732–0.744)
1.1820.716
0.644
Men
Hypertension0.667ac
(0.662–0.672)
24.750.705
0.542
0.673ab
(0.668–0.678)
88.250.662
0.584
0.690abc
(0.685–0.695)
0.5240.665
0.614
0.586abc
(0.581–0.591)
0.07900.604
0.523
0.690abc
(0.685–0.695)
3.810.665
0.614
0.643abc
(0.638–0.648)
1.2430.647
0.562
Diabetes/IFG0.649ac
(0.644–0.654)
24.790.668
0.546
0.658ab
(0.653–0.663)
89.900.594
0.637
0.667abc
(0.662–0.672)
0.5260.610
0.629
0.580abc
(0.575–0.585)
0.08000.493
0.624
0.667abc
(0.662–0.672)
3.860.610
0.629
0.630abc
(0.652–0.635)
1.2470.597
0.592
High TG0.686a
(0.681–0.691)
24.320.720
0.553
0.688a
(0.683–0.693)
85.800.761
0.515
0.689a
(0.684–0.694)
0.5040.763
0.516
0.570abc
(0.565–0.575)
0.07890.584
0.524
0.689a
(0.684–0.694)
3.440.763
0.516
0.634abc
(0.629–0.639)
1.2270.688
0.509
Low HDL-C0.641ac
(0.636–0.646)
24.240.687
0.520
0.636ab
(0.631–0.641)
85.800.712
0.496
0.632abc
(0.627–0.637)
0.5100.662
0.534
0.535abc
(0.529–0.540)
0.07750.689
0.363
0.632abc
(0.627–0.637)
3.550.662
0.534
0.584abc
(0.579–0.589)
1.2330.612
0.512
High LDL-C0.567a
(0.562–0.573)
23.600.728
0.373
0.565a
(0.560–0.570)
84.750.715
0.383
0.569ac
(0.564–0.574)
0.4940.755
0.358
0.524abc
(0.519–0.530)
0.07800.644
0.396
0.569ac
(0.564–0.574)
3.240.755
0.358
0.547abc
(0.542–0.552)
1.2070.743
0.331
Hyperuricemia0.649a
(0.644–0.654)
25.140.638
0.580
0.646a
(0.641–0.651)
86.250.740
0.472
0.638abc
(0.633–0.643)
0.5030.784
0.414
0.532abc
(0.527–0.538)
0.07890.566
0.485
0.638abc
(0.633–0.643)
3.410.781
0.418
0.588abc
(0.583–0.593)
1.2200.728
0.403
NAFLD0.770ac
(0.766–0.775)
24.870.721
0.692
0.763ab
(0.759–0.767)
87.750.733
0.666
0.757abc
(0.752–0.761)
0.5130.748
0.640
0.572abc
(0.566–0.577)
0.07840.640
0.471
0.757abc
(0.752–0.761)
3.590.749
0.638
0.666abc
(0.661–0.671)
1.2310.685
0.557

AUC: area under the curve; ROC: receiver-operating characteristic; BMI: body mass index; WC: waist circumference; WHtR: waist-to-height ratio; ABSI: a body shape index; BRI: body roundness index; CI: conicity index; 95% CI: 95% confidence interval; Sen: sensitivity; Spe: specificity; IFG: impaired fasting glucose; TG: triglycerides; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; NAFLD: nonalcoholic fatty liver. 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.