Table 3

Relationship between HIV and socioeconomic status from multivariate analysis

VariableWestern Cape Province, aOR (95% CI)Free State Province,aOR (95% CI)
Age1.03 (0.91 to 1.17)1.07 (1.02 to 1.12)
Setting
 Urban informal1.01.0
 Urban formal0.12 (0.01 to 1.28)NA
 Rural formalNA1.03 (0.93 to 1.14)
Marital status
 Never married1.01.0
 Currently married0.77 (0.33 to 1.80)0.98 (0.20 to 4.90)
 Divorced0.76 (0.00 to 719.64)0.44 (0.14 to 1.40)
 Separated0.51 (0.01 to 23.71)2.48 (0.21 to 29.71)
 Widowed1.57 (0.03 to 90.49)4.22 (0.51 to 34.81)
Years of formal education0.90 (0.85 to 0.96)0.99 (0.89 to 1.11)
Employment (employed vs unemployed)1.54 (0.84 to 2.84)0.96 (0.71 to 1.30)
Wealth quintile*
 Lowest quintile (poorest)1.01.0
 Second lowest quintile1.39 (0.29 to 6.56)0.88 (0.67 to 1.16)
 Middle quintile0.90 (0.08 to 10.57)0.91 (0.72 to 1.16)
 Second highest quintile0.77 (0.02 to 29.80)0.93 (0.41 to 2.08)
 Highest quintile (wealthiest)0.62 (0.00 to 250.83)0.76 (0.16 to 3.71)
  • *Household wealth quintiles were generated separately for each province using data for the specified province only. Separate regression models were run for each province using household wealth quintiles generated separately for each province. Point estimates and their CIs were adjusted for the two-stage stratified cluster random sampling and design weights.

  • aOR, adjusted OR; NA, not applicable.