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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

Index

M-40-49

W-40-49

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

Height

1.14 (0.97–1.33)

.109

1.12 (0.94–1.33)

.193

0.537

0.825

0.87 (0.76–0.99)

.041

0.95 (0.82–1.09)

.439

0.53

0.847

Weight

3.15 (2.54–3.9)

< .001

3.51 (2.77–4.44)

< .001

0.766

0.862

2.36 (2.04–2.74)

< .001

2.4 (2.06–2.8)

< .001

0.741

0.888

BMI

3.47 (2.78–4.34)

< .001

3.82 (3–4.87)

< .001

0.777

0.867

2.79 (2.38–3.27)

< .001

2.78 (2.36–3.27)

< .001

0.777

0.896

ForeheadC

1.64 (1.39–1.94)

< .001

1.75 (1.45–2.11)

< .001

0.621

0.834

1.15 (1.01–1.31)

.043

1.27 (1.09–1.44)

.002

0.538

0.852

NeckC

3.42 (2.74–4.28)

< .001

4.16 (3.21–5.39)

< .001

0.771

0.866

2.26 (1.94–2.64)

< .001

2.39 (2.03–2.82)

< .001

0.717

0.879

AxillaryC

2.99 (2.42–3.69)

< .001

3.17 (2.52–3.99)

< .001

0.765

0.861

2.93 (2.48–3.46)

< .001

2.95 (2.47–3.52)

< .001

0.775

0.888

ChestC

3.13 (2.53–3.88)

< .001

3.2 (2.55–4.02)

< .001

0.773

0.865

3 (2.54–3.55)

< .001

3.02 (2.53–3.61)

< .001

0.783

0.895

RibC

4.06 (3.21–5.15)

< .001

4.36 (3.37–5.64)

< .001

0.806

0.878

2.73 (2.33–3.19)

< .001

2.68 (2.27–3.17)

< .001

0.776

0.891

WaistC

4.66 (3.6–6.02)

< .001

4.95 (3.75–6.52)

< .001

0.824

0.889

2.89 (2.45–3.41)

< .001

2.89 (2.43–3.44)

< .001

0.78

0.895

PelvicC

2.96 (2.4–3.65)

< .001

3.41 (2.7–4.31)

< .001

0.754

0.859

2.31 (1.98–2.69)

< .001

2.33 (1.98–2.74)

< .001

0.725

0.882

HipC

2.7 (2.2–3.3)

< .001

3.27 (2.58–4.16)

< .001

0.739

0.859

2.01 (1.74–2.32)

< .001

2.07 (1.77–2.41)

< .001

0.694

0.881

Waist_Hip

2.89 (2.35–3.56)

< .001

3.11 (2.47–3.92)

< .001

0.752

0.857

2.43 (2.06–2.86)

< .001

2.38 (2.01–2.83)

< .001

0.727

0.872

Waist_Pelvic

2.34 (1.93–2.84)

< .001

2.24 (1.83–2.74)

< .001

0.712

0.849

1.88 (1.62–2.18)

< .001

1.89 (1.62–2.21)

< .001

0.674

0.863

Forehead_Waist

0.22 (0.17–0.28)

< .001

0.22 (0.16–0.29)

< .001

0.812

0.878

0.3 (0.25–0.36)

< .001

0.31 (0.25–0.37)

< .001

0.779

0.892

Forehead_Rib

0.25 (0.2–0.32)

< .001

0.25 (0.19–0.32)

< .001

0.791

0.867

0.32 (0.27–0.39)

< .001

0.33 (0.28–0.4)

< .001

0.776

0.887

Forehead_Chest

0.35 (0.28–0.43)

< .001

0.35 (0.28–0.44)

< .001

0.744

0.852

0.31 (0.26–0.37)

< .001

0.3 (0.25–0.37)

< .001

0.78

0.889

WHtR

4.38 (3.42–5.62)

< .001

4.56 (3.51–5.94)

< .001

0.818

0.888

3.1 (2.61–3.67)

< .001

3.05 (2.55–3.64)

< .001

0.79

0.897

TG

4.36 (3.26–5.83)

< .001

4.74 (3.47–6.46)

< .001

0.827

–

6.48 (5.07–8.3)

< .001

6.99 (5.4–9.06)

< .001

0.848

–

HW phenotype

0.02 (0.01–0.04)

< .001

0.02 (0.01–0.04)

< .001

–

–

0.05 (0.03–0.07)

< .001

0.05 (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
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BMC Endocrine Disorders

ISSN: 1472-6823

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