Table 1 General characteristics of selected variables.

From: Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES

Variables

Non-CVD (n \(=\) 210,846)

CVD (n \(=\) 6752)

P-value

Age, years, mean (SD)

46.61 (16.32)

66.26 (9.97)

<0.001

Monthly income, $, mean (SD)

3191.78 (2480.18)

2093.86 (2334.61)

<0.001

ALT, IU/L, mean (SD)

22.29 (19.6)

23.15 (14.52)

<0.001

AST, IU/L, mean (SD)

22.55 (13.33)

25.1 (16.04)

<0.001

BMI, kg/m2, mean (SD)

23.71 (3.49)

24.7 (3.17)

<0.001

HBsAg, IU/L, mean (SD)

139.06 (879.32)

98.97 (745.63)

<0.001

Height, m, mean (SD)

163.66 (9.47)

159.98 (9.42)

<0.001

Red blood cell count, mil/uL, mean (SD)

4.63 (0.48)

4.48 (0.49)

<0.001

Urine glucose, mean (SD)

0.09 (0.51)

0.26 (0.86)

<0.001

White blood cell count, thous/uL, mean (SD)

6.23 (1.75)

6.44 (1.9)

<0.001

Frequency of drinking

  

<0.001

Not at all in the past year, n (%)

51,591 (24.47%)

3132 (46.39%)

 

Less than 1 time a month, n (%)

37,962 (18.0%)

864 (12.8%)

 

1 time a month, n (%)

21,690 (10.29%)

492 (7.29%)

 

2-4 times a month, n (%)

49,876 (23.66%)

910 (13.48%)

 

2-3 times a week, n (%)

33,599 (15.94%)

729 (10.8%)

 

More than 4 times a week, n (%)

14,997 (7.11%)

544 (8.06%)

 

Drinking amount

  

<0.001

No drinking, n (%)

51,591 (24.47%)

3132 (46.39%)

 

1-2 shots, n (%)

52,223 (24.77%)

1577 (23.36%)

 

3-4 shots, n (%)

33,874 (16.07%)

905 (13.4%)

 

5-6 shots, n (%)

25,573 (12.13%)

382 (5.66%)

 

7-9 shots, n (%)

23,110 (10.96%)

389 (5.76%)

 

More than 10 shots, n (%)

23,565 (11.18%)

286 (4.24%)

 

Weight change in the past year

  

<0.001

Weight loss, n (%)

29,120 (13.81%)

1344 (19.91%)

 

Weight maintenance, n (%)

132,275 (62.74%)

4492 (66.53%)

 

Weight gain, n (%)

48,389 (22.95%)

815 (12.07%)

 

Stress perception level

  

<0.001

Little, n (%)

31,573 (14.97%)

1669 (24.72%)

 

A little, n (%)

120,381 (57.09%)

3229 (47.82%)

 

Much, n (%)

47,836 (22.69%)

1345 (19.92%)

 

Very much, n (%)

9987 (4.74%)

419 (6.21%)

 

Urine protein

  

<0.001

−, n (%)

176,293 (83.61%)

5365 (79.46%)

 

±, n (%)

16,255 (7.71%)

573 (8.49%)

 

+, n (%)

2088 (0.99%)

153 (2.27%)

 

++, n (%)

740 (0.35%)

85 (1.26%)

 

+++, n (%)

254 (0.12%)

25 (0.37%)

 

++++, n (%)

27 (0.01%)

5 (0.07%)

 

Anemia, n (%)

15,942 (7.56%)

891 (13.2%)

<0.001

Diabetes mellitus, n (%)

17,648 (8.37%)

1963 (29.07%)

<0.001

High cholesterol, n (%)

28,365 (13.45%)

2019 (29.9%)

<0.001

Hypertension, n (%)

55,894 (26.51%)

4458 (66.02%)

<0.001

Irregular pulse, n (%)

2894 (1.37%)

412 (6.1%)

<0.001

Marriage status, n (%)

1671,13 (79.26%)

6606 (97.84%)

<0.001

Sex (female), n (%)

111,709 (52.98%)

3030 (44.88%)

<0.001

Successful high school graduate status, n (%)

150,397 (71.33%)

2028 (30.04%)

<0.001

  1. Continuous variables were expressed as a mean value (standard deviation), while discrete (except binary) and binary variables were expressed as the number of participants, n (percentage, %). We calculated the P-values of continuous, discrete, and binary variables using t-test, Mann-Whitney, and chi-square techniques, respectively. A two-tailed P-value (<0.001) was considered statistically significant. In representing monthly income, 1172 KRW was converted to 1 USD.
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