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Table 5 Analysis of the association between MetS and anthropometric indices and the predictive power for MetS in men and women aged 70–79 years

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

IndexM-70-79W-70-79
ORpAdj. ORAdj. pAUC-1AUC-2ORpAdj. ORAdj. pAUC-1AUC-2
Height1.3 (1.09–1.54).0031.28 (1.07–1.53).0070.5490.8051.33 (1.16–1.51)< .0011.33 (1.16–1.53)< .0010.570.797
Weight2.6 (2.11–3.21)< .0012.89 (2.3–3.65)< .0010.7410.8481.96 (1.69–2.27)< .0012.14 (1.82–2.51)< .0010.6750.821
BMI2.6 (2.09–3.21)< .0012.83 (2.25–3.56)< .0010.740.8451.79 (1.55–2.06)< .0011.93 (1.66–2.25)< .0010.6520.818
ForeheadC1.47 (1.25–1.75)< .0011.46 (1.21–1.75)< .0010.6020.8111.27 (1.11–1.45)< .0011.25 (1.08–1.43)0.0020.5590.797
NeckC2.38 (1.95–2.91)< .0012.35 (1.9–2.9)< .0010.7170.8431.94 (1.68–2.26)< .0011.91 (1.64–2.23)< .0010.670.816
AxillaryC2.22 (1.83–2.7)< .0012.28 (1.85–2.81)< .0010.7090.8381.9 (1.65–2.2)< .0011.94 (1.67–2.26)< .0010.670.821
ChestC2.61 (2.12–3.21)< .0012.68 (2.15–3.33)< .0010.7470.8572.1 (1.78–2.39)< .0012.11 (1.81–2.47)< .0010.6880.829
RibC3.15 (2.51–3.96)< .0013.15 (2.49–3.99)< .0010.7760.8632.02 (1.74–2.4)< .0012 (1.71–2.34)< .0010.6830.825
WaistC3.8 (2.96–4.89)< .0013.87 (2.99–5.02)< .0010.8040.8762.12 (1.82–2.47)< .0012.15 (1.84–2.51)< .0010.6870.831
PelvicC2.84 (2.27–3.56)< .0012.98 (2.35–3.77)< .0010.7480.8531.85 (1.6–2.14)< .0011.9 (1.63–2.22)< .0010.6590.824
HipC2.58 (2.09–3.17)< .0012.63 (2.11–3.27)< .0010.7340.8561.72 (1.49–1.98)< .0011.74 (1.49–2.03)< .0010.6420.818
Waist_Hip2.55 (2.07–3.14)< .0012.63 (2.11–3.27)< .0010.7320.8431.8 (1.56–2.08)< .0011.89 (1.62–2.19)< .0010.6460.816
Waist_Pelvic2.22 (1.82–2.7)< .0012.25 (1.84–2.77)< .0010.710.8421.67 (1.45–1.92)< .0011.68 (1.45–1.94)< .0010.6310.811
Forehead_Waist0.24 (0.19–0.32)< .0010.24 (0.18–0.32)< .0010.7920.8710.46 (0.39–0.54)< .0010.44 (0.38–0.52)< .0010.6790.833
Forehead_Rib0.33 (0.26–0.41)< .0010.32 (0.25–0.41)< .0010.7590.8560.5 (0.43–0.58)< .0010.5 (0.43–0.58)< .0010.6740.824
Forehead_Chest0.43 (0.35–0.52)< .0010.41 (0.33–0.5)< .0010.7170.8440.49 (0.43–0.57)< .0010.47 (0.41–0.55)< .0010.6790.828
WHtR3.26 (2.58–4.13)< .0013.36 (2.63–4.29)< .0010.7780.8631.84 (1.59–2.12)< .0011.87 (1.61–2.17)< .0010.6560.822
TG3.84 (2.97–5)< .0014.08 (3.11–5.36)< .0010.87.33 (5.43–9.91)< .0017.55 (5.52–10.32)< .0010.793
HW phenotype0.03 (0.02–0.07)< .0010.03 (0.01–0.07)< .0010.08 (0.05–0.11)< .0010.08 (0.05–0.11)< .001
  1. The results were obtained by binary logistic regression. M-70-79 men aged 70–79 years, W-70-79 women aged 70–79 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