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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