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Table 1 Analysis of the association between MetS and anthropometric indices and the predictive power for MetS in men and women aged 30–39 years

From: Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults

IndexM-30-39W-30-39
ORpAdj. ORAdj. pAUC-1AUC-2ORpAdj. ORAdj. pAUC-1AUC-2
Height1.38 (1.09–1.74).0081.49 (1.16–1.92).0020.5860.8620.97 (0.76–1.23).7931.07 (0.84–1.38).5780.4710.873
Weight2.58 (1.97–3.38)< .0012.64 (1.99–3.51)< .0010.7690.8853.35 (2.59–4.31)< .0013.87 (2.87–5.21)< .0010.8510.926
BMI2.57 (1.94–3.4)< .0012.52 (1.89–3.37)< .0010.7700.8823.53 (2.73–4.55)< .0014.01 (2.97–5.41)< .0010.8610.931
ForeheadC1.88 (1.45–2.43)< .0011.96 (1.48–2.6)< .0010.6610.8742.01 (1.53–2.64)< .0012.62 (1.89–3.62)< .0010.6410.876
NeckC2.75 (2.06–3.67)< .0012.7 (2–3.64)< .0010.7490.883.43 (2.62–4.49)< .0013.72 (2.74–5.04)< .0010.8080.91
AxillaryC2.86 (2.15–3.8)< .0013.04 (2.23–4.16)< .0010.7610.8834.29 (3.21–5.74)< .0014.81 (3.45–6.7)< .0010.8690.929
ChestC2.83 (2.14–3.74)< .0013.02 (2.22–4.11)< .0010.7640.8833.76 (2.86–4.94)< .0014.76 (3.42–6.63)< .0010.8570.923
RibC3.3 (2.4–4.55)< .0013.24 (2.32–4.53)< .0010.8080.8873.81 (2.9–4.99)< .0014.33 (3.17–5.93)< .0010.8790.931
WaistC3.6 (2.59–5)< .0013.85 (2.69–5.5)< .0010.8250.9034.47 (3.3–6.04)< .0015.24 (3.66–7.52)< .0010.8830.938
PelvicC2.35 (1.79–3.1)< .0012.62 (1.92–3.57)< .0010.7390.8773.44 (2.63–4.5)< .0014.06 (2.95–5.57)< .0010.8140.919
HipC2.25 (1.73–2.93)< .0012.68 (1.98–3.63)< .0010.7250.8722.78 (2.17–3.56)< .0013.31 (2.47–4.44)< .0010.7780.911
Waist_Hip2.99 (2.2–4.05)< .0013.02 (2.16–4.21)< .0010.7710.8913.06 (2.31–4.06)< .0013.02 (2.21–4.11)< .0010.8190.915
Waist_Pelvic2.58 (1.92–3.45)< .0012.7 (1.97–3.7)< .0010.7400.8862.38 (1.8–3.14)< .0012.25 (1.67–3.03)< .0010.7490.9
Forehead_Waist0.28 (0.2–0.39)< .0010.26 (0.18–0.37)< .0010.7950.8920.21 (0.15–0.29)< .0010.18 (0.12–0.27)< .0010.8590.935
Forehead_Rib0.32 (0.23–0.45)< .0010.32 (0.23–0.45)< .0010.7730.8750.25 (0.19–0.34)< .0010.23 (0.16–0.32)< .0010.8540.932
Forehead_Chest0.39 (0.3–0.52)< .0010.37 (0.27–0.5)< .0010.7270.8720.28 (0.21–0.37)< .0010.22 (0.16–0.32)< .0010.8210.921
WHtR3.31 (2.4–4.58)< .0013.38 (2.4–4.75)< .0010.8090.8914.15 (3.11–5.52)< .0014.54 (3.27–6.32)< .0010.8790.935
TG5.82 (3.76–8.99)< .0015.68 (3.63–8.89)< .0010.8674.63 (3.44–6.22)< .0015.21 (3.71–7.32)< .0010.876
HW phenotype0.02 (0.01–0.04)< .0010.02 (0.01–0.04)< .0010.01 (0.01–0.03)< .0010.01 (0.01–0.02)< .001
  1. The results were obtained by binary logistic regression. M-30-39 men aged 30–39 years, W-30-39 women aged 30–39 years, Adj. p and OR adjustment for age, region, and education, OR odds ratio, AUC-1 AUC value of each index used to identify MetS, AUC-2 AUC value of phenotypes combining TG + one anthropometric index to identify MetS