Table 2 Multivariate logistic regression model predicting co-morbid depression (BDI score ≥ 14) by demographic, clinical, and behavior factors (n = 412)

Demographic factors

Men

1.13(0.57,2.24)

Age

  40–59 years vs. <40 years

0.29(0.09,0.97)

  ≥60 years vs. <40 years

0.58(0.15,2.27)

High school or less

0.94(0.45,1.80)

Being single

2.51(1.29,4.90)

Employment status

  Unemployed vs. employed

4.39(0.89,21.77)

  Retired vs. employed

0.74(0.31,1.76)

Insurance

  UEMI vs. GIS

2.38(1.12,5.04)

  URMI vs. GIS

0.95(0.40,2.27)

  NCMS vs. GIS

0.18(0.19,1.82)

  Other insurance vs. GIS

1.64(0.38,7.06)

  None insurance vs. GIS

0.77(0.22,2.65)

Social support

0.76(0.69,0.83)

Clinical factors

HbA1c ≥7.00 %

1.89(1.10,3.53)

BMI ≥25 kg/m²

1.12(1.02,1.24)

History of diabtes

0.49(0.26,0.90)

Duration of diabetes

1.11(0.72,1.72)

Diabetes complications

1.12(0.94,1.34)

Oral agents

1.05(0.41,2.73)

Insulin

1.93(0.99,3.82)

Behavior factors

Smoking currently

1.02(0.45,2.32)

Drinking currently

0.65(0.30,1.42)

Excise times per week

0.92(0.46,1.86)

Sleeping hours per day

0.82(0.67,1.00)