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Table 1 Characteristics of the study population

From: An analysis of the associations of high-sensitivity C-reactive protein and uric acid with metabolic syndrome components in Korean adults by sex: a cross-sectional study using the Korea national health and nutrition examination survey 2016–2018

Characteristic

Low hs-CRP

(N = 12,290)

High hs-CRP

(N = 1,164)

p-value*

Low SUA

(N = 10,158)

High SUA

(N = 3,296)

p-value*

% (SE)

Unweighted N

% (SE)

Unweighted N

% (SE)

Unweighted N

% (SE)

Unweighted N

Age (years), mean (SE)

47.77 (0.26)

-

49.92 (0.63)

-

0.0005

49.03 (0.28)

-

44.42 (0.36)

-

< 0.0001

Gender

          

 Men

48.53 (0.46)

5,232

49.90 (0.21)

544

0.4459

34.12 (0.46)

3,059

86.81 (0.50)

2,717

< 0.0001

 Women

51.47 (0.45)

7,058

50.01 (0.19)

620

 

65.88 (0.45)

7,099

13.19 (0.18)

579

 

Household income

          

 Low

16.04 (0.52)

2,387

23.61 (0.14)

337

< 0.0001

17.55 (0.50)

2,117

14.36 (0.23)

607

0.0001

 Lower middle

23.66 (0.57)

2,988

24.60 (0.14)

287

 

23.97 (0.50)

2,485

23.12 (0.31)

790

 

 Higher middle

29.46 (0.61)

3,379

29.05 (0.17)

289

 

29.50 (0.52)

2,779

29.22 (0.33)

889

 

 High

30.84 (0.82)

3,500

22.75 (0.14)

245

 

28.98 (0.68)

2,744

33.30 (0.39)

1,001

 

Educational level

          

 ≤ Elementary school

15.08 (0.46)

2,505

20.07 (0.12)

319

0.0004

17.52 (0.45)

2,305

10.14 (0.15)

519

< 0.0001

 Middle school

8.68 (0.30)

1,193

9.67 (0.09)

115

 

9.27 (0.29)

1,004

7.45 (0.14)

304

 

 High school

34.42 (0.61)

3,731

32.16 (0.17)

309

 

33.74 (0.56)

3,022

35.51 (0.34)

1,018

 

 ≥ College

41.82 (0.81)

4,446

38.10 (0.18)

373

 

39.47 (0.63)

3,477

46.90 (0.45)

1,342

 

Smoking

          

 Non-smoker

58.21 (0.51)

7,514

55.84 (0.21)

652

0.0476

66.64 (0.50)

6,994

35.37 (0.33)

1,172

< 0.0001

 Ex-smoker

21.64 (0.39)

2,627

20.34 (0.13)

260

 

17.85 (0.33)

1,779

31.19 (0.29)

1,108

 

 Current smoker

20.15 (0.48)

2,067

23.82 (0.14)

235

 

15.51 (0.37)

1,306

33.44 (0.35)

996

 

Alcohol consumption

          

 No

8.92 (0.30)

1,386

11.24 (0.10)

148

0.0296

10.80 (0.29)

1,339

4.69 (0.12)

195

< 0.0001

 Yes

91.08 (0.40)

10,830

88.76 (0.26)

1,002

 

89.20 (0.53)

8,749

95.31 (0.50)

3,083

 

BMI (kg/m2)

          

 < 25

65.99 (0.56)

8,079

48.30 (0.19)

583

< 0.0001

70.27 (0.54)

7,009

49.39 (0.40)

1,653

< 0.0001

 ≥ 25

34.01 (0.52)

4,180

51.70 (0.21)

579

 

29.73 (0.48)

3,121

50.61 (0.40)

1,638

 

High waist circumference

27.69 (0.52)

3,617

46.16 (0.19)

544

< 0.0001

24.98 (0.45)

2,761

40.41 (0.35)

1,400

< 0.0001

Hypertension

27.57 (0.52)

4,006

36.30 (0.16)

485

< 0.0001

26.17 (0.47)

3,170

33.91 (0.30)

1,321

< 0.0001

Glucose metabolism status

          

Normal

66.95 (0.56)

7,807

58.76 (0.22)

621

< 0.0001

67.84 (0.54)

6,573

62.15 (0.45)

1,855

< 0.0001

Prediabetes

22.87 (0.40)

2,959

25.14 (0.14)

326

 

20.80 (0.37)

2,244

28.98 (0.28)

1,041

 

DM

10.18 (0.31)

1,524

16.10 (0.12)

217

 

11.36 (0.29)

1,341

8.87 (0.15)

400

 

Hypertriglyceridemia

15.48 (0.36)

1,824

18.18 (0.13)

196

0.0489

11.45 (0.30)

1,138

26.92 (0.27)

882

< 0.0001

Low HDL cholesterol

30.08 (0.51)

4,027

47.35 (0.20)

573

< 0.0001

31.31 (0.45)

3,448

32.10 (0.30)

1,152

0.4404

Physical activity

          

 < 600 MET-minutes/week

53.13 (0.60)

6,692

56.31 (0.21)

669

0.0835

54.85 (0.58)

5,673

49.55 (0.39)

1,688

< 0.0001

 ≥ 600 MET-minutes/week

46.87 (0.62)

5,174

43.69 (0.19)

448

 

45.15 (0.54)

4,133

50.45 (0.40)

1,489

 

Number of MetS components

          

 < 3

71.71 (0.55)

8,379

57.41 (0.22)

616

< 0.0001

74.07 (0.56)

7,146

61.17 (0.45)

1,849

< 0.0001

 ≥ 3

28.29 (0.50)

3,911

42.59 (0.17)

548

 

25.93 (0.45)

3,012

38.83 (0.32)

1,447

 
  1. hs-CRP, high sensitivity C-reactive protein; SUA, serum uric acid; SE, standard error; BMI, body mass index; DM, diabetes mellitus; HDL, high density lipoprotein; MET, metabolic equivalents; MetS, metabolic syndrome
  2. *Calculated by chi-square tests for categorical variables and independent t-tests for continuous variables