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. 2016 Jun 27;2016:6951264. doi: 10.1155/2016/6951264

Table 2.

The results of binary logistic regression analysis on metabolic syndrome.

Variable SE Beta p value OR 95.0% CI
Lower Upper
Age <65 = 0, ≥65 = 1 0.674 0.503 0.485 1.602 0.428 5.999
Male, n Female = 0, male = 1 0.582 −0.066 0.837 0.887 0.283 2.776
SBP (mmHg) <140 = 0, ≥140 = 1 0.623 0.602 0.216 2.161 0.637 7.324
DBP (mmHg) <90 = 0, ≥90 = 1 0.909 0.831 0.290 2.619 0.441 15.551
BMI (kg/m2) <25 = 0, ≥25 = 1 0.683 4.117 0.001 74.469 19.507 284.29
H. pylori infection (n) Absent = 0, present = 1 0.575 1.538 0.003 5.427 1.757 16.76
Total cholesterol (mmol/L) <5.69 = 0, ≥5.69 = 1 0.945 2.620 0.004 15.544 2.441 98.981
Triglycerides (mmol/L) <1.7 = 0, ≥1.7 = 1 0.704 0.243 0.797 0.834 0.21 3.316
Fasting glucose (mmol/L) <6.1 = 0, ≥6.1 = 1 0.959 1.392 0.091 5.053 0.772 33.068
Creatinine (μmol/L) <115 = 0, ≥115 = 1 0.796 1.076 0.258 2.46 0.517 11.703
BUN (mmol/L) <8.2 = 0, ≥8.2 = 1 0.91 0.237 0.873 0.865 0.145 5.151
Hypertension (n) Absent = 0, present = 1 0.679 −0.111 0.910 0.926 0.245 3.504
Diabetes mellitus (n) Absent = 0, present = 1 1.202 3.182 0.008 23.957 2.271 252.722