Table 3

Bivariate and multivariable logistic regression analysis to identify factors associated with HIV infection among adult population in Ethiopia, 2011

Independent risk factorsCrude OR with 95% CIAOR with 95% CI
Wealth index
 Poorest1.001.00
 Poorer1.0 (0.58 to 1.83)0.9 (0.50 to 1.75)
 Middle1.6 (0.97 to 2.72)1.7 (1.01 to 2.99)*
 Richer2.4 (1.51 to 3.96)**2.3 (1.37 to 3.90)*
 Richest9.6 (6.23 to 14.70)**4.1 (2.28 to 7.39)**
Residence
 Rural1.001.00
 Urban6.4 (5.28 to 7.83)**1.8 (1.24 to 2.66)*
Administrative regions
 Tigray1.001.00
 Afar1.0 (0.36 to 2.66)2.0 (0.63 to 5.99)
 Amhara0.9 (0.60 to 1.27)1.2 (0.80 to 1.91)
 Oromia0.5 (0.37 to 0.79)*1.1 (0.73 to 1.78)
 Somali0.8 (0.38 to 1.82)1.2 (0.47 to 3.27)
 Benishangul-Gumuz0.7 (0.27 to 2.06)1.4 (0.47 to 4.24)
 SNNPR0.57 (0.37 to 0.87)*1.0 (0.57 to 1.59)
 Gambela3.8 (1.78 to 8.33)*4.1 (1.70 to 9.88)*
 Harari1.6 (0.43 to 6.19)1.4 (0.33 to 5.97)
 Addis Ababa2.9 (1.96 to 4.43)**1.5 (0.90 to 2.36)
 Dire Dawa2.2 (0.82 to 6.04)1.5 (0.50 to 4.55)
Marital status
 Never married1.001.00
 Currently married3.3 (2.37 to 4.58)**1.5 (0.88 to 2.40)
 Formerly married16.9 (11.94 to 24.07)**4.2 (2.48 to 7.16)**
Education
 No formal education1.001.00
 Primary education1.4 (1.12 to 1.73)*1.7 (1.32 to 2.26)**
 Secondary and higher2.2 (1.68 to 2.85)**1.6 (1.11 to 2.36)*
Religion
 Christian1.001.00
 Muslim0.4 (0.29 to 0.51)**0.6 (0.41 to 0.83)*
 Others including traditional religions0.8 (0.40 to 1.58)1.9 (0.82 to 4.19)
Lifetime sexual partners
 Single1.001.00
 Multiple4.1 (3.30 to 5.06)**3.4 (2.64 to 4.28)**
Age groups
 15–190.1 (0.07 to 0.24)**0.1 (0.02 to 0.66)*
 20–240.5 (0.31 to 0.77)*0.7 (0.42 to 1.20)
 25–291.5 (1.06 to 2.15)*1.7 (1.15 to 2.52)*
 30–342.0 (1.41 to 2.90)**2.0 (1.32 to 2.91)*
 35–392.2 (1.55 to 3.17)**2.1 (1.40 to 3.07)**
 40–441.4 (0.94 to 2.19)1.4 (0.89 to 2.21)
 45–491.001.00
Occupation
 Not working1.001.00
 Corporate and general managers0.9 (0.12 to 6.42)1.0 (0.76 to 1.43)
 Teaching and associate professions1.5 (0.78 to 2.99)0.2 (0.03 to 1.53)
 Health and life science workers1.9 (0.57 to 6.04)0.5 (0.22 to 1.06)
 Construction and engineering workers2.3 (0.44 to 11.81)0.7 (0.21 to 2.49)
 Frontline service workers3.2 (2.08 to 5.02)**0.4 (0.05 to 3.95)
 Sales workers2.1 (1.58 to 2.76)**0.7 (0.41 to 1.20)
 Agricultural workers0.4 (0.26 to 0.52)**0.7 (0.45 to 1.13)
 Daily labourers0.5 (0.36 to 0.82)**0.6 (0.35 to 0.87)*
 Merchants4.3 (3.22 to 5.71)**1.8 (1.30 to 2.43)**
 Mobile workers including drivers and operators4.6 (2.46 to 8.69)**1.1 (0.56 to 2.27)
Sex
 Male1.001.00
 Female1.8 (1.49 to 2.24)**1.9 (1.44 to 2.63)**
  • *p<0.01, **p<0.001.

  • AOR, adjusted OR; SNNPR, Southern Nations, Nationalities, and Peoples’ Region.