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Table 2 Areas under the receiver operating characteristic curves for the identification of clustering of 2 or more coronary risk factors for obesity-related anthropometric and new indices

From: Using principal component analysis to develop a single-parameter screening tool for metabolic syndrome

 

Males (972/3740)

 

AUC (95% C.I.)

p-value

power

Equal weighted average

0.773 (0.758, 0.789)

-

-

First principal component score

0.768 (0.753, 0.784)

0.0950

0.1259

Waist circumference

0.738 (0.722, 0.755)

0.0000

0.9734

Waist-to-height ratio

0.745 (0.729, 0.762)

0.0000

0.8741

 

Females (318/3878)

 

AUC (95% C.I.)

p-value

power

Equal weighted average

0.864 (0.844, 0.885)

-

-

First principal component score

0.864 (0.844, 0.884)

0.9140

0.5000

Waist circumference

0.828 (0.805, 0.850)

0.0000

0.9013

Waist-to-height ratio

0.836 (0.814, 0.857)

0.0001

0.9042