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Table 4 Analysis of the association between MetS and anthropometric indices and the predictive power for MetS in men and women aged 60–69 years

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

Index

M-60-69

W-60-69

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

Height

1.18 (1.04–1.34)

.013

1.17 (1.02–1.34)

.029

0.538

0.788

1.03 (0.93–1.14)

.608

1.1 (0.98–1.23)

.101

0.473

0.79

Weight

2.4 (2.05–2.81)

< .001

2.71 (2.28–3.2)

< .001

0.729

0.826

1.67 (1.49–1.88)

< .001

1.79 (1.58–2.02)

< .001

0.638

0.805

BMI

2.58 (2.19–3.04)

< .001

2.95 (2.46–3.52)

< .001

0.74

0.833

1.73 (1.54–1.94)

< .001

1.8 (1.6–2.04)

< .001

0.648

0.808

ForeheadC

1.599 (1.38–1.82)

< .001

1.65 (1.42–1.91)

< .001

0.615

0.798

1.24 (1.11–1.37)

< .001

1.22 (1.08–1.36)

< .001

0.546

0.798

NeckC

2.56 (2.17–3)

< .001

2.57 (2.16–3.06)

< .001

0.73

0.827

1.97 (1.75–2.23)

< .001

1.87 (1.65–2.12)

< .001

0.672

0.821

AxillaryC

2.63 (2.23–3.1)

< .001

2.62 (2.2–3.11)

< .001

0.741

0.838

2.09 (1.85–2.36)

< .001

1.98 (1.74–2.25)

< .001

0.692

0.824

ChestC

2.84 (2.4–3.36)

< .001

2.87 (2.4–3.43)

< .001

0.755

0.845

2.17 (1.92–2.46)

< .001

2.06 (1.81–2.35)

< .001

0.704

0.826

RibC

3.34 (2.79–4)

< .001

3.38 (2.79–4.09)

< .001

0.777

0.852

2.18 (1.92–2.47)

< .001

2.05 (1.8–2.33)

< .001

0.704

0.825

WaistC

3.78 (3.11–4.59)

< .001

3.88 (3.17–4.76)

< .001

0.805

0.864

2.3 (2.02–2.61)

< .001

2.23 (1.96–2.55)

< .001

0.71

0.831

PelvicC

2.28 (1.95–2.65)

< .001

2.43 (2.06–2.86)

< .001

0.713

0.819

1.84 (1.63–2.07)

< .001

1.81 (1.6–2.05)

< .001

0.664

0.816

HipC

2.21 (1.9–2.58)

< .001

2.25 (1.92–2.65)

< .001

0.711

0.821

1.58 (1.41–1.77)

< .001

1.55 (1.38–1.75)

< .001

0.622

0.809

Waist_Hip

2.81 (2.37–3.34)

< .001

2.97 (2.48–3.57)

< .001

0.744

0.832

2.09 (1.85–2.36)

< .001

2.09 (1.83–2.38)

< .001

0.686

0.82

Waist_Pelvic

2.51 (2.14–2.95)

< .001

2.44 (2.06–2.9)

< .001

0.729

0.826

1.79 (1.59–2.01)

< .001

1.73 (1.53–1.96)

< .001

0.651

0.811

Forehead_Waist

0.27 (0.22–0.33)

< .001

0.27 (0.21–0.33)

< .001

0.779

0.849

0.45 (0.39–0.51)

< .001

0.45 (0.39–0.51)

< .001

0.695

0.827

Forehead_Rib

0.35 (0.29–0.42)

< .001

0.35 (0.29–0.42)

< .001

0.741

0.831

0.48 (0.42–0.54)

< .001

0.5 (0.44–0.57)

< .001

0.689

0.821

Forehead_Chest

0.42 (0.36–0.5)

< .001

0.43 (0.36–0.51)

< .001

0.71

0.823

0.48 (0.43–0.55)

< .001

0.5 (0.44–0.57)

< .001

0.686

0.821

WHtR

3.5 (2.9–4.22)

< .001

3.7 (3.03–4.53)

< .001

0.789

0.859

2.17 (1.92–2.46)

< .001

2.13 (1.87–2.43)

< .001

0.699

0.829

TG

2.98 (2.49–3.55)

< .001

3.05 (2.53–3.66)

< .001

0.788

–

5.71 (4.58–7.13)

< .001

6.08 (4.81–7.68)

< .001

0.792

–

HW phenotype

0.02 (0.01–0.04)

< .001

0.02 (0.01–0.04)

< .001

–

–

0.11 (0.09–0.15)

< .001

0.11 (0.08–0.14)

< .001

–

–

  1. The results were obtained by binary logistic regression. M-60-69 men aged 60–69 years, W-60-69 women aged 60–69 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