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Table 2 Analysis of the association between MetS and anthropometric indices and the predictive power for MetS in men and women aged 40–49 years

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

IndexM-40-49W-40-49
ORpAdj. ORAdj. pAUC-1AUC-2ORpAdj. ORAdj. pAUC-1AUC-2
Height1.14 (0.97–1.33).1091.12 (0.94–1.33).1930.5370.8250.87 (0.76–0.99).0410.95 (0.82–1.09).4390.530.847
Weight3.15 (2.54–3.9)< .0013.51 (2.77–4.44)< .0010.7660.8622.36 (2.04–2.74)< .0012.4 (2.06–2.8)< .0010.7410.888
BMI3.47 (2.78–4.34)< .0013.82 (3–4.87)< .0010.7770.8672.79 (2.38–3.27)< .0012.78 (2.36–3.27)< .0010.7770.896
ForeheadC1.64 (1.39–1.94)< .0011.75 (1.45–2.11)< .0010.6210.8341.15 (1.01–1.31).0431.27 (1.09–1.44).0020.5380.852
NeckC3.42 (2.74–4.28)< .0014.16 (3.21–5.39)< .0010.7710.8662.26 (1.94–2.64)< .0012.39 (2.03–2.82)< .0010.7170.879
AxillaryC2.99 (2.42–3.69)< .0013.17 (2.52–3.99)< .0010.7650.8612.93 (2.48–3.46)< .0012.95 (2.47–3.52)< .0010.7750.888
ChestC3.13 (2.53–3.88)< .0013.2 (2.55–4.02)< .0010.7730.8653 (2.54–3.55)< .0013.02 (2.53–3.61)< .0010.7830.895
RibC4.06 (3.21–5.15)< .0014.36 (3.37–5.64)< .0010.8060.8782.73 (2.33–3.19)< .0012.68 (2.27–3.17)< .0010.7760.891
WaistC4.66 (3.6–6.02)< .0014.95 (3.75–6.52)< .0010.8240.8892.89 (2.45–3.41)< .0012.89 (2.43–3.44)< .0010.780.895
PelvicC2.96 (2.4–3.65)< .0013.41 (2.7–4.31)< .0010.7540.8592.31 (1.98–2.69)< .0012.33 (1.98–2.74)< .0010.7250.882
HipC2.7 (2.2–3.3)< .0013.27 (2.58–4.16)< .0010.7390.8592.01 (1.74–2.32)< .0012.07 (1.77–2.41)< .0010.6940.881
Waist_Hip2.89 (2.35–3.56)< .0013.11 (2.47–3.92)< .0010.7520.8572.43 (2.06–2.86)< .0012.38 (2.01–2.83)< .0010.7270.872
Waist_Pelvic2.34 (1.93–2.84)< .0012.24 (1.83–2.74)< .0010.7120.8491.88 (1.62–2.18)< .0011.89 (1.62–2.21)< .0010.6740.863
Forehead_Waist0.22 (0.17–0.28)< .0010.22 (0.16–0.29)< .0010.8120.8780.3 (0.25–0.36)< .0010.31 (0.25–0.37)< .0010.7790.892
Forehead_Rib0.25 (0.2–0.32)< .0010.25 (0.19–0.32)< .0010.7910.8670.32 (0.27–0.39)< .0010.33 (0.28–0.4)< .0010.7760.887
Forehead_Chest0.35 (0.28–0.43)< .0010.35 (0.28–0.44)< .0010.7440.8520.31 (0.26–0.37)< .0010.3 (0.25–0.37)< .0010.780.889
WHtR4.38 (3.42–5.62)< .0014.56 (3.51–5.94)< .0010.8180.8883.1 (2.61–3.67)< .0013.05 (2.55–3.64)< .0010.790.897
TG4.36 (3.26–5.83)< .0014.74 (3.47–6.46)< .0010.8276.48 (5.07–8.3)< .0016.99 (5.4–9.06)< .0010.848
HW phenotype0.02 (0.01–0.04)< .0010.02 (0.01–0.04)< .0010.05 (0.03–0.07)< .0010.05 (0.03–0.07)< .001
  1. The results were obtained by binary logistic regression. M-40-49 men aged 40–49 years, W-40-49 women aged 40–49 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