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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

Index

M-30-39

W-30-39

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

Height

1.38 (1.09–1.74)

.008

1.49 (1.16–1.92)

.002

0.586

0.862

0.97 (0.76–1.23)

.793

1.07 (0.84–1.38)

.578

0.471

0.873

Weight

2.58 (1.97–3.38)

< .001

2.64 (1.99–3.51)

< .001

0.769

0.885

3.35 (2.59–4.31)

< .001

3.87 (2.87–5.21)

< .001

0.851

0.926

BMI

2.57 (1.94–3.4)

< .001

2.52 (1.89–3.37)

< .001

0.770

0.882

3.53 (2.73–4.55)

< .001

4.01 (2.97–5.41)

< .001

0.861

0.931

ForeheadC

1.88 (1.45–2.43)

< .001

1.96 (1.48–2.6)

< .001

0.661

0.874

2.01 (1.53–2.64)

< .001

2.62 (1.89–3.62)

< .001

0.641

0.876

NeckC

2.75 (2.06–3.67)

< .001

2.7 (2–3.64)

< .001

0.749

0.88

3.43 (2.62–4.49)

< .001

3.72 (2.74–5.04)

< .001

0.808

0.91

AxillaryC

2.86 (2.15–3.8)

< .001

3.04 (2.23–4.16)

< .001

0.761

0.883

4.29 (3.21–5.74)

< .001

4.81 (3.45–6.7)

< .001

0.869

0.929

ChestC

2.83 (2.14–3.74)

< .001

3.02 (2.22–4.11)

< .001

0.764

0.883

3.76 (2.86–4.94)

< .001

4.76 (3.42–6.63)

< .001

0.857

0.923

RibC

3.3 (2.4–4.55)

< .001

3.24 (2.32–4.53)

< .001

0.808

0.887

3.81 (2.9–4.99)

< .001

4.33 (3.17–5.93)

< .001

0.879

0.931

WaistC

3.6 (2.59–5)

< .001

3.85 (2.69–5.5)

< .001

0.825

0.903

4.47 (3.3–6.04)

< .001

5.24 (3.66–7.52)

< .001

0.883

0.938

PelvicC

2.35 (1.79–3.1)

< .001

2.62 (1.92–3.57)

< .001

0.739

0.877

3.44 (2.63–4.5)

< .001

4.06 (2.95–5.57)

< .001

0.814

0.919

HipC

2.25 (1.73–2.93)

< .001

2.68 (1.98–3.63)

< .001

0.725

0.872

2.78 (2.17–3.56)

< .001

3.31 (2.47–4.44)

< .001

0.778

0.911

Waist_Hip

2.99 (2.2–4.05)

< .001

3.02 (2.16–4.21)

< .001

0.771

0.891

3.06 (2.31–4.06)

< .001

3.02 (2.21–4.11)

< .001

0.819

0.915

Waist_Pelvic

2.58 (1.92–3.45)

< .001

2.7 (1.97–3.7)

< .001

0.740

0.886

2.38 (1.8–3.14)

< .001

2.25 (1.67–3.03)

< .001

0.749

0.9

Forehead_Waist

0.28 (0.2–0.39)

< .001

0.26 (0.18–0.37)

< .001

0.795

0.892

0.21 (0.15–0.29)

< .001

0.18 (0.12–0.27)

< .001

0.859

0.935

Forehead_Rib

0.32 (0.23–0.45)

< .001

0.32 (0.23–0.45)

< .001

0.773

0.875

0.25 (0.19–0.34)

< .001

0.23 (0.16–0.32)

< .001

0.854

0.932

Forehead_Chest

0.39 (0.3–0.52)

< .001

0.37 (0.27–0.5)

< .001

0.727

0.872

0.28 (0.21–0.37)

< .001

0.22 (0.16–0.32)

< .001

0.821

0.921

WHtR

3.31 (2.4–4.58)

< .001

3.38 (2.4–4.75)

< .001

0.809

0.891

4.15 (3.11–5.52)

< .001

4.54 (3.27–6.32)

< .001

0.879

0.935

TG

5.82 (3.76–8.99)

< .001

5.68 (3.63–8.89)

< .001

0.867

–

4.63 (3.44–6.22)

< .001

5.21 (3.71–7.32)

< .001

0.876

–

HW phenotype

0.02 (0.01–0.04)

< .001

0.02 (0.01–0.04)

< .001

–

–

0.01 (0.01–0.03)

< .001

0.01 (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
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BMC Endocrine Disorders

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