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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-50-59

M-50-59

W-50-59

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

Height

1.16 (1.05–1.28)

.003

1.16 (1.04–1.28)

.006

0.542

0.793

0.92 (0.85–1.01)

.066

0.96 (0.88–1.05)

.413

0.517

0.833

Weight

2.51 (2.23–2.83)

< .001

2.68 (2.37–3.04)

< .001

0.743

0.832

1.97 (1.8–2.17)

< .001

1.93 (1.75–2.13)

< .001

0.686

0.858

BMI

2.67 (2.35–3.02)

< .001

2.84 (2.49–3.23)

< .001

0.745

0.83

2.15 (1.95–2.37)

< .001

2.12 (1.91–2.34)

< .001

0.71

0.861

ForeheadC

1.46 (1.32–1.63)

< .001

1.51 (1.35–1.69)

< .001

0.612

0.797

1.21 (1.12–1.32)

< .001

1.24 (1.13–1.37)

< .001

0.558

0.834

NeckC

2.71 (2.4–3.06)

< .001

2.74 (2.41–3.12)

< .001

0.745

0.836

2.31 (2.08–2.55)

< .001

2.28 (2.05–2.54)

< .001

0.71

0.866

AxillaryC

2.57 (2.27–2.9)

< .001

2.5 (2.21–2.83)

< .001

0.739

0.833

2.49 (2.24–2.76)

< .001

2.39 (2.14–2.66)

< .001

0.735

0.872

ChestC

2.69 (2.38–3.05)

< .001

2.62 (2.31–3)

< .001

0.751

0.839

2.61 (2.35–2.91)

< .001

2.49 (2.23–2.78)

< .001

0.746

0.874

RibC

3.18 (2.79–3.63)

< .001

3.13 (2.73–3.58)

< .001

0.782

0.849

2.66 (2.39–2.96)

< .001

2.52 (2.25–2.81)

< .001

0.756

0.874

WaistC

3.54 (3.08–4.08)

< .001

3.46 (3–3.99)

< .001

0.805

0.868

2.54 (2.29–2.82)

< .001

2.41 (2.16–2.69)

< .001

0.745

0.877

PelvicC

2.46 (2.18–2.78)

< .001

2.57 (2.26–2.91)

< .001

0.736

0.836

2.03 (1.84–2.23)

< .001

1.93 (1.75–2.13)

< .001

0.694

0.861

HipC

2.21 (1.97–2.48)

< .001

2.29 (2.023–2.58)

< .001

0.71

0.828

1.67 (1.52–1.82)

< .001

1.62 (1.48–1.78)

< .001

0.639

0.851

Waist_Hip

2.52 (2.23–2.86)

< .001

2.54 (2.23–2.89)

< .001

0.731

0.826

2.44 (2.19–2.7)

< .001

2.34 (2.09–2.61)

< .001

0.726

0.868

Waist_Pelvic

2.24 (1.99–2.51)

< .001

2.11 (1.88–2.38)

< .001

0.714

0.818

1.92 (1.75–2.12)

< .001

1.8 (1.63–1.99)

< .001

0.674

0.857

Forehead_Waist

0.29 (0.25–0.33)

< .001

0.29 (0.25–0.34)

< .001

0.78

0.852

0.38 (0.34–0.42)

< .001

0.4 (0.36–0.45)

< .001

0.736

0.876

Forehead_Rib

0.34 (0.29–0.38)

< .001

0.34 (0.3–0.39)

< .001

0.753

0.831

0.37 (0.33–0.41)

< .001

0.4 (0.35–0.44)

< .001

0.747

0.873

Forehead_Chest

0.41 (0.37–0.47)

< .001

0.43 (0.38–0.48)

< .001

0.717

0.821

0.39 (0.35–0.43)

< .001

0.41 (0.36–0.46)

< .001

0.734

0.871

WHtR

3.32 (2.89–3.81)

< .001

3.26 (2.83–3.75)

< .001

0.791

0.856

2.56 (2.3–2.84)

< .001

2.44 (2.18–2.73)

< .001

0.746

0.874

TG

3.52 (2.98–4.17)

< .001

3.67 (3.09–4.37)

< .001

0.792

–

5.79 (4.95–6.77)

< .001

6.34 (5.37–7.48)

< .001

0.834

–

HW phenotype

0.04 (0.02–0.05)

< .001

0.03 (0.02–0.05)

< .001

–

–

0.07 (0.05–0.08)

< .001

0.07 (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
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BMC Endocrine Disorders

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