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Table 1 Baseline data of each candidate predictor in the development set

From: Using noninvasive anthropometric indices to develop and validate a predictive model for metabolic syndrome in Chinese adults: a nationwide study

 

[ALL]

Non-Mets

Mets

p.overall

N = 19,685

N = 14,547

N = 5138

 

Age

43.0 (13.1)

41.2 (12.9)

48.1 (12.5)

< 0.001

Sex:

   

0.069

 Male

7982 (40.5%)

5843 (40.2%)

2139 (41.6%)

 

 Female

11,703 (59.5%)

8704 (59.8%)

2999 (58.4%)

 

EDU:

   

< 0.001

 Low

15,055 (76.5%)

10,810 (74.3%)

4245 (82.6%)

 

 High

4630 (23.5%)

3737 (25.7%)

893 (17.4%)

 

Smoke:

   

< 0.001

 No

14,791 (75.1%)

11,005 (75.7%)

3786 (73.7%)

 

 Quit

719 (3.65%)

486 (3.34%)

233 (4.53%)

 

 Yes

4175 (21.2%)

3056 (21.0%)

1119 (21.8%)

 

PhysicalActivity:

   

0.343

 Never

12,668 (64.4%)

9333 (64.2%)

3335 (64.9%)

 

 Regular

7017 (35.6%)

5214 (35.8%)

1803 (35.1%)

 

FamilyHistory:

   

< 0.001

 Non

11,576 (58.8%)

8673 (59.6%)

2903 (56.5%)

 

 One

5258 (26.7%)

3826 (26.3%)

1432 (27.9%)

 

 Two

2175 (11.0%)

1578 (10.8%)

597 (11.6%)

 

 Three

676 (3.43%)

470 (3.23%)

206 (4.01%)

 

SBP

121 (17.7)

117 (15.3)

133 (18.0)

0.000

DBP

77.9 (10.6)

75.6 (9.61)

84.3 (10.6)

0.000

WC

81.2 (10.5)

78.2 (9.35)

89.9 (8.75)

0.000

Hip

95.2 (7.85)

93.3 (7.09)

101 (7.40)

0.000

WHR

0.85 (0.07)

0.84 (0.07)

0.89 (0.07)

0.000

WHtR

0.50 (0.06)

0.48 (0.06)

0.55 (0.05)

0.000

BRI

3.46 (1.22)

3.10 (1.04)

4.48 (1.10)

0.000

BMI

24.0 (3.59)

23.0 (3.18)

26.6 (3.32)

0.000

PBF

28.7 (7.87)

27.0 (7.31)

33.5 (7.45)

0.000

ABSI

0.08 (0.01)

0.08 (0.01)

0.08 (0.01)

< 0.001

CUN-BAE

29.2 (7.92)

27.7 (7.62)

33.6 (7.02)

0.000

BAI

51.1 (5.61)

49.7 (5.06)

54.9 (5.33)

0.000

C-Index

1.20 (0.10)

1.18 (0.09)

1.26 (0.08)

0.000

AVI

13.6 (3.45)

12.6 (2.95)

16.4 (3.19)

0.000