Table 2

Regression analysis showing ORs and 95% CIs for the association of sociodemographic factors and contraceptive use among HIV-positive women in Kenya

VariablesCOR (95% CI)AOR (95% CI)
Region
 Nairobi2.22 (0.92 to 5.36)0.74 (0.17 to 3.13)
 Coast0.52 (0.17 to 1.61)0.27 (0.05 to 1.55)
 Rift Valley0.71 (0.18 to 2.80)0.51 (0.08 to 3.47)
 Others1.32 (0.58 to 3.03)1.16 (0.29 to 4.70)
 Western0.53 (0.21 to 1.31)0.80 (0.20 to 3.20)
 NyanzaReference (1.0)Reference (1.0)
Residence
 Rural0.55 (0.26 to 1.19)1.04 (0.36 to 3.01)
 UrbanReference (1.0)Reference (1.0)
Ethnicity
 Kikuyu1.22 (0.42 to 3.59)0.68 (0.14 to 3.27)
 Luhya0.44 (0.15 to 1.26)0.33 (0.06 to 1.75)
 Others0.71 (0.35 to 1.45)0.51 (0.14 to 1.87)
 LuoReference (1.0)Reference (1.0)
Highest educational level
 No education0.20 (0.05 to 0.75)0.60 (0.12 to 2.98)
 Primary0.37 (0.17 to 0.81)0.42 (0.18 to 0.98)
 Secondary or higherReference (1.0)Reference (1.0)
Wealth index
 Low0.24 (0.11 to 0.52)0.17 (0.07 to 0.43)
 Middle0.41 (0.17 to 1.01)0.33 (0.11 to 0.98)
 HighReference (1.0)Reference (1.0)
Religion
 Protestant/other Christian0.94 (0.47 to 1.91)1.06 (0.48 to 2.37)
 Others0.55 (0.12 to 2.47)1.11 (0.16 to 7.75)
 Roman CatholicReference (1.0)Reference (1.0)
Age*1.08 (0.9 to 1.3)1.22 (0.99 to 1.51)
 Marital status
 Not married0.71 (0.37 to 1.4)0.57 (0.29 to 1.15)
 MarriedReference (1.0)Reference (1.0)
  • The AOR models include adjustment for age, marital status, region, residence, religion, ethnicity, education attainment and wealth index.

  • *Age was included as an ordinal variable.

  • AOR, adjusted OR; COR, crude OR.