Skip to main content
. 2017 Sep 18;7(9):e016062. doi: 10.1136/bmjopen-2017-016062

Table 3.

AUCs of anthropometric indices in diagnosing of MetS at baseline

Indices Male Female
AUC 95% CI p AUC 95% CI p
WC 0.79 (0.72 to 0.86) <0.001 0.79 (0.71 to 0.87) <0.001
BMI 0.73* (0.65 to 0.80) <0.001 0.75 (0.67 to 0.84) <0.001
WHR 0.72* (0.64 to 0.79) <0.001 0.75 (0.67 to 0.83) <0.001
ABSI 0.70* (0.62 to 0.78) <0.001 0.62* (0.52 to 0.72) 0.031
AVI 0.79 (0.72 to 0.86) <0.001 0.79 (0.71 to 0.87) <0.001
BAI 0.67* (0.59 to 0.75) <0.001 0.69* (0.59 to 0.79) <0.001
BRI 0.76 (0.69 to 0.83) <0.001 0.80 (0.71 to 0.88) <0.001
CI 0.76 (0.68 to 0.83) <0.001 0.73* (0.64 to 0.82) <0.001
VAI 0.85 (0.79 to 0.92) <0.001 0.90* (0.84 to 0.96) <0.001

DeLong et al’s non-parametric approach was used to compare the AUCs of indices.

*Compared with the AUC of waist circumference, p is less than 0.05.

ABSI, a body shape index; AVI, abdominal volume index; AUC, area under the curve; BAI, body adiposity index; BMI, body mass index; BRI, body roundness index; CI, conicity; MetS, metabolic syndrome; VAI, visceral adiposity index.; WC, waist circumference; WHR, waist-to-hip ratio.