Skip to main content
. 2022 Feb 4;17(2):e0261978. doi: 10.1371/journal.pone.0261978

Table 3. Multilevel analysis for assessing factors associated with discriminatory attitude towards people living with HIV/AIDS in sub-Saharan Africa.

Variables Model 1 Model 2 Model 3 Model 4
Sex
 Male 1.00 1.00
 Female 1.05 (1.02, 1.088 1.02 (0.99, 1.06)
Age
 15–19 1.00 1.00
 20–24 0.81 (0.78, 0.84) 0.80 (0.78, 0.83)
 25–29 0.77 (0.74, 0.80) 0.76 (0.73, 0.79)
 30–34 0.68 (0.65, 0.70) 0.67 (0.64, 0.70)
 35–39 0.69 (0.65, 0.71) 0.67 (0.64, 0.70)
 40–44 0.63 (0.60, 0.66) 0.63 (0.60, 0.66)
 45–49 0.66 (0.62, 0.69) 0.65 (0.62, 0.68)
Educational status
 No education 1.00 1.00
 Primary 0.40 (0.39, 0.42) 0.44 (0.42, 0.46)
 Secondary 0.36 (0.35, 0.38) 0.37 (0.36, 0.39)
 Higher 0.27 (0.26, 0.29) 0.27 (0.26, 0.29)
Occupation
 Not working 1.00 1.00
 Working 1.02(0.99, 1.05) 1.02 (0.99, 1.05)
Marital status
 Single 1.00 1.00
 Married 0.94 (0.90, 0.97) 0.93 (0.90, 0.96)
 Widowed/separated/divorced 0.69(0.66, 0.73) 0.70 (0.66, 0.74)
Wealth status
 Poorest 1.00 1.00
 Poorer 0.92 (0.88, 0.96) 0.90 (0.87, 0.95)
 Middle 0.83 (0.79, 0.87) 0.78 (0.74, 0.82)
 Richer 0.75 (0.71, 0.80) 0.65 (0.61, 0.69)
 Richest 0.63 (0.58, 0.67) 0.49 (0.46, 0.53)
Sex of household head
 Male 1.00 1.00
 Female 0.89 (0.86, 0.92) 0.90 (0.87–0.92)
Contraceptive use
 No 1.00 1.00
 Yes 0.72 (0.70, 0.74) 0.74 (0.72, 0.76)
Media exposure
 No 1.00 1.00
 Yes 1.01 (0.98, 1.04) 0.95 (0.92, 0.98)
Comprehensive knowledge of HIV/AIDS
 No 1.00 1.00
 Yes 0.38 (0.37, 0.39) 0.39 (0.38, 0.40)
Residence
 Urban 1.00 1.00
 Rural 1.30 (1.21, 1.39) 0.67 (0.63, 0.72)
Region of Africa
 West Africa 1.00 1.00
 Central Africa 0.50 (0.46, 0.55) 0.53 (0.50, 0.56)
 East Africa 0.49 (0.46, 0.52) 0.64 (0.61, 0.68)
Community-level of women literacy
 Low 1.00 1.00
 High 1.01(0.85, 1.19) 0.84 (0.75, 1.01)
Community-level media exposure
 Low 1.00 1.00
 High 0.99 (0.84, 1.16) 1.06 (0.91, 1.24)