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Table 3 Analysis of the association between MetS and anthropometric indices and the predictive power for MetS in men and women aged 50–59 years

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

M-50-59M-50-59W-50-59
ORpAdj. ORAdj. pAUC-1AUC-2ORpAdj. ORAdj. pAUC-1AUC-2
Height1.16 (1.05–1.28).0031.16 (1.04–1.28).0060.5420.7930.92 (0.85–1.01).0660.96 (0.88–1.05).4130.5170.833
Weight2.51 (2.23–2.83)< .0012.68 (2.37–3.04)< .0010.7430.8321.97 (1.8–2.17)< .0011.93 (1.75–2.13)< .0010.6860.858
BMI2.67 (2.35–3.02)< .0012.84 (2.49–3.23)< .0010.7450.832.15 (1.95–2.37)< .0012.12 (1.91–2.34)< .0010.710.861
ForeheadC1.46 (1.32–1.63)< .0011.51 (1.35–1.69)< .0010.6120.7971.21 (1.12–1.32)< .0011.24 (1.13–1.37)< .0010.5580.834
NeckC2.71 (2.4–3.06)< .0012.74 (2.41–3.12)< .0010.7450.8362.31 (2.08–2.55)< .0012.28 (2.05–2.54)< .0010.710.866
AxillaryC2.57 (2.27–2.9)< .0012.5 (2.21–2.83)< .0010.7390.8332.49 (2.24–2.76)< .0012.39 (2.14–2.66)< .0010.7350.872
ChestC2.69 (2.38–3.05)< .0012.62 (2.31–3)< .0010.7510.8392.61 (2.35–2.91)< .0012.49 (2.23–2.78)< .0010.7460.874
RibC3.18 (2.79–3.63)< .0013.13 (2.73–3.58)< .0010.7820.8492.66 (2.39–2.96)< .0012.52 (2.25–2.81)< .0010.7560.874
WaistC3.54 (3.08–4.08)< .0013.46 (3–3.99)< .0010.8050.8682.54 (2.29–2.82)< .0012.41 (2.16–2.69)< .0010.7450.877
PelvicC2.46 (2.18–2.78)< .0012.57 (2.26–2.91)< .0010.7360.8362.03 (1.84–2.23)< .0011.93 (1.75–2.13)< .0010.6940.861
HipC2.21 (1.97–2.48)< .0012.29 (2.023–2.58)< .0010.710.8281.67 (1.52–1.82)< .0011.62 (1.48–1.78)< .0010.6390.851
Waist_Hip2.52 (2.23–2.86)< .0012.54 (2.23–2.89)< .0010.7310.8262.44 (2.19–2.7)< .0012.34 (2.09–2.61)< .0010.7260.868
Waist_Pelvic2.24 (1.99–2.51)< .0012.11 (1.88–2.38)< .0010.7140.8181.92 (1.75–2.12)< .0011.8 (1.63–1.99)< .0010.6740.857
Forehead_Waist0.29 (0.25–0.33)< .0010.29 (0.25–0.34)< .0010.780.8520.38 (0.34–0.42)< .0010.4 (0.36–0.45)< .0010.7360.876
Forehead_Rib0.34 (0.29–0.38)< .0010.34 (0.3–0.39)< .0010.7530.8310.37 (0.33–0.41)< .0010.4 (0.35–0.44)< .0010.7470.873
Forehead_Chest0.41 (0.37–0.47)< .0010.43 (0.38–0.48)< .0010.7170.8210.39 (0.35–0.43)< .0010.41 (0.36–0.46)< .0010.7340.871
WHtR3.32 (2.89–3.81)< .0013.26 (2.83–3.75)< .0010.7910.8562.56 (2.3–2.84)< .0012.44 (2.18–2.73)< .0010.7460.874
TG3.52 (2.98–4.17)< .0013.67 (3.09–4.37)< .0010.7925.79 (4.95–6.77)< .0016.34 (5.37–7.48)< .0010.834
HW phenotype0.04 (0.02–0.05)< .0010.03 (0.02–0.05)< .0010.07 (0.05–0.08)< .0010.07 (0.05–0.09)< .001
  1. The results were obtained by binary logistic regression. M-50-59 men aged 50–59 years, W-50-59 women aged 50–59 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