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. 2018 Sep;22(5):303–311. doi: 10.29252/ibj.22.5.303

Table 2.

Multiple logistic regression analysis on the influential factors of type 2 diabetes in training dataset

Variables B (SE) OR (95% CI) P value
Age(year) 0.05 (0.004) 1.05 (1.04-1.06) <0.001
Education
 High Reference =0.27
 Moderate 0.12 (0.11) 1.13 (0.91-1.39) =0.59
 Low -0.04 (0.07) 0.96 (0.84-1.11)
Occupation
 Unemployment Reference
 Retired 0.16 (0.11) 1.18 (0.94-1.47) =0.15
 Employment 0.46 (0.12) 1.59 (1.27-1.99) <0.001
Married status
 Divorced Reference
 Married -0.22 (0.24) 0.80 (0.50-1.28) =0.36
 Single -0.67 (0.54) 0.51 (0.17-1.48) =0.21
 Widow -0.23 (0.26) 0.79 (0.47-1.33) =0.37
Smoking status
 No Reference
 Yes -0.11 (0.07) 0.89 (0.77-1.03) =0.13
Family history of diabetes
 No Reference
 Yes 1.03 (0.06) 2.81 (2.5-3.16) <0.001
Depression
 No Reference
 Yes 0.76 (0.61-0.95) <0.001
BMI (kg/m2) 0.02 (0.007) 1.02 (1.01-1.02) <0.001
SBP (mmHg) 0.01 (0.002) 1.02 (1.01-1.02) <0.001
DBP (mmHg) -0.01 (0.004) 0.99 (0.98-0.99) =0.009
LDL (mg/dL) -0.003 (0.002) 0.99 (0.99-1.001) =0.1
HDL (mg/dL) -0.003 (0.004) 0.99 (0.99-1.005) =0.47
Cholesterol (mg/dL) 0.005 (0.002) 1.005 (1.001-1.008) =0.007
hs-CRP (mg/l) 0.02 (0.003) 1.02 (1.01-1.02) <0.001
TG (mg/dL) 0.003 (0.0001) 1.003 (1.002-1.004) <0.001
PAL (h per week) 0.001 (0.0001) 1.001 (1.001-1.003) =0.001

SE, standard error