Metabolic Syndrome Prediction Models Using Machine Learning and Sasang Constitution Type
Table 2
Characteristics of participants with and without metabolic syndrome.
No metabolic syndrome
Metabolic syndrome
Total
value
Number (percentage)
2,121 (73.9)
750 (26.1)
2,871 (100.0)
Sex
Male
513 (24.2)
278 (37.1)
791 (27.6)
<0.001
Female
1,608 (75.8)
472 (62.9)
2,080 (72.4)
Age
51.93 ± 7.18
56.19 ± 7.06
53.04 ± 7.39
<0.001
Education
Graduated middle school or less
753 (35.5)
377 (50.3)
1,130 (39.4)
<0.001
Graduated from high school
818 (38.6)
218 (29.1)
1,036 (36.1)
Graduated college or higher
550 (25.9)
155 (20.7)
705 (24.6)
Marriage status
Never married
48 (2.3)
13 (1.7)
61 (2.1)
0.058
Married/living together
1,943 (91.6)
673 (89.7)
2,616 (91.1)
Separated/divorced/widowed
130 (6.1)
64 (8.5)
194 (6.8)
Smoking
Never
1,762 (83.1)
551 (73.5)
2,313 (80.6)
<0.001
Ex-smoker
187 (8.8)
113 (15.1)
300 (10.4)
Current
172 (8.1)
86 (11.5)
258 (9.0)
BMI (kg/m2)
23.37 ± 2.47
26.03 ± 2.72
24.06 ± 2.80
<0.001
Alcohol consumption (g/day)
5.35 ± 17.44
8.01 ± 22.37
6.04 ± 18.89
0.003
Physical activity (MET minutes/week)
165.35 ± 217.03
163.20 ± 201.35
164.79 ± 213.01
0.81
Stress
19.49 ± 8.18
20.25 ± 8.32
19.68 ± 8.23
0.031
Sasang constitution
SY
632 (29.8)
163 (21.7)
795 (27.7)
<0.001
TE
825 (38.9)
517 (68.9)
1,342 (46.7)
SE
664 (31.3)
70 (9.3)
734 (25.6)
Mean ± standard deviation with t-test value; other values are numbers followed by percentages in parentheses and analyzed by the chi-square test. BMI, body mass index; SE, So-Eum; SY, So-Yang; TE, Tae-Eum.
