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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

Index

M-70-79

W-70-79

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

OR

p

Adj. OR

Adj. p

AUC-1

AUC-2

Height

1.3 (1.09–1.54)

.003

1.28 (1.07–1.53)

.007

0.549

0.805

1.33 (1.16–1.51)

< .001

1.33 (1.16–1.53)

< .001

0.57

0.797

Weight

2.6 (2.11–3.21)

< .001

2.89 (2.3–3.65)

< .001

0.741

0.848

1.96 (1.69–2.27)

< .001

2.14 (1.82–2.51)

< .001

0.675

0.821

BMI

2.6 (2.09–3.21)

< .001

2.83 (2.25–3.56)

< .001

0.74

0.845

1.79 (1.55–2.06)

< .001

1.93 (1.66–2.25)

< .001

0.652

0.818

ForeheadC

1.47 (1.25–1.75)

< .001

1.46 (1.21–1.75)

< .001

0.602

0.811

1.27 (1.11–1.45)

< .001

1.25 (1.08–1.43)

0.002

0.559

0.797

NeckC

2.38 (1.95–2.91)

< .001

2.35 (1.9–2.9)

< .001

0.717

0.843

1.94 (1.68–2.26)

< .001

1.91 (1.64–2.23)

< .001

0.67

0.816

AxillaryC

2.22 (1.83–2.7)

< .001

2.28 (1.85–2.81)

< .001

0.709

0.838

1.9 (1.65–2.2)

< .001

1.94 (1.67–2.26)

< .001

0.67

0.821

ChestC

2.61 (2.12–3.21)

< .001

2.68 (2.15–3.33)

< .001

0.747

0.857

2.1 (1.78–2.39)

< .001

2.11 (1.81–2.47)

< .001

0.688

0.829

RibC

3.15 (2.51–3.96)

< .001

3.15 (2.49–3.99)

< .001

0.776

0.863

2.02 (1.74–2.4)

< .001

2 (1.71–2.34)

< .001

0.683

0.825

WaistC

3.8 (2.96–4.89)

< .001

3.87 (2.99–5.02)

< .001

0.804

0.876

2.12 (1.82–2.47)

< .001

2.15 (1.84–2.51)

< .001

0.687

0.831

PelvicC

2.84 (2.27–3.56)

< .001

2.98 (2.35–3.77)

< .001

0.748

0.853

1.85 (1.6–2.14)

< .001

1.9 (1.63–2.22)

< .001

0.659

0.824

HipC

2.58 (2.09–3.17)

< .001

2.63 (2.11–3.27)

< .001

0.734

0.856

1.72 (1.49–1.98)

< .001

1.74 (1.49–2.03)

< .001

0.642

0.818

Waist_Hip

2.55 (2.07–3.14)

< .001

2.63 (2.11–3.27)

< .001

0.732

0.843

1.8 (1.56–2.08)

< .001

1.89 (1.62–2.19)

< .001

0.646

0.816

Waist_Pelvic

2.22 (1.82–2.7)

< .001

2.25 (1.84–2.77)

< .001

0.71

0.842

1.67 (1.45–1.92)

< .001

1.68 (1.45–1.94)

< .001

0.631

0.811

Forehead_Waist

0.24 (0.19–0.32)

< .001

0.24 (0.18–0.32)

< .001

0.792

0.871

0.46 (0.39–0.54)

< .001

0.44 (0.38–0.52)

< .001

0.679

0.833

Forehead_Rib

0.33 (0.26–0.41)

< .001

0.32 (0.25–0.41)

< .001

0.759

0.856

0.5 (0.43–0.58)

< .001

0.5 (0.43–0.58)

< .001

0.674

0.824

Forehead_Chest

0.43 (0.35–0.52)

< .001

0.41 (0.33–0.5)

< .001

0.717

0.844

0.49 (0.43–0.57)

< .001

0.47 (0.41–0.55)

< .001

0.679

0.828

WHtR

3.26 (2.58–4.13)

< .001

3.36 (2.63–4.29)

< .001

0.778

0.863

1.84 (1.59–2.12)

< .001

1.87 (1.61–2.17)

< .001

0.656

0.822

TG

3.84 (2.97–5)

< .001

4.08 (3.11–5.36)

< .001

0.8

–

7.33 (5.43–9.91)

< .001

7.55 (5.52–10.32)

< .001

0.793

–

HW phenotype

0.03 (0.02–0.07)

< .001

0.03 (0.01–0.07)

< .001

–

–

0.08 (0.05–0.11)

< .001

0.08 (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