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Table 2 Non-spatial logistical regression results of HIV infection

From: Geographical variations in risk factors associated with HIV infection among drug users in a prefecture in Southwest China

Study variable

B

Wald x 2

P value

Adjusted

Adjusted

OR

OR 95%CI

Constant

−2.86

319.254

<0.001

0.06

Drug use behaviors

     

 History of intravenous drug use (1 = yes, 0 = no)

0.96

180.220

<0.001

2.61

2.27–3.00

 History of sharing syringes (1 = yes, 0 = no)

0.96

135.671

<0.001

2.60

2.22–3.06

Demographic factors

 Marital status (ref = single)

     

  Divorced (1 = yes, 0 = no)

0.51

7.116

0.008

1.66

1.14–2.41

  Widowed (1 = yes, 0 = no)

0.76

7.213

0.007

2.14

1.23–3.72

 Gender (1 = males, 0 = females)

0.41

16.799

<0.001

1.51

1.24–1.84

 Ethnicity (ref = Han)

     

  Yi (1 = yes, 0 = no)

1.32

115.348

<0.001

3.76

2.95–4.79

Socioeconomic factors

 Employment (ref = other, such as factory worker, government employee, etc.)

  Service sector (1 = yes, 0 = no)

−0.94

10.271

<0.001

0.39

0.22–0.70

 Educational attainment (ref = no school)

     

  Primary school (1 = yes, 0 = no)

−0.36

23.801

<0.001

0.70

0.61–0.81

  Junior high school (1 = yes, 0 = no)

−1.12

114.524

<0.001

0.33

0.27–0.40

  Senior high school or above (1 = yes, 0 = no)

−1.43

80.983

<0.001

0.24

0.18–0.33