Univariate analysis of the variables in the training set showed that: age, place of abode, smoking history, drinking history, sleep condition, activity, WBC, MCV, HGB, CRP, UA, CysC, BUN, waistline, BMI, hypertension, diabetes, cancer, liver disease, kidneydisease, digestive diseases and arthritis or rheumatism were statistically significant (p < 0.05) (Table 3). Here, CYGB is linked to diabetes mellitus.