Table 4a.

Socio-demographic factors associated with repeat HIV testing compared to no HIV testing in Soweto, South Africa stratified by sex (N=2717)

Socio-demographic variables	Men (N=1315)	Women (N=1402)
	Adjusted odds ratio, AOR (95% CI); p-value*	Adjusted odds ratio, AOR (95% CI); p-value*
Age, years ┼
18–23	1.00	1.00
23–28	2.06 (1.39–3.06); <0.0001	1.94 (1.44–2.62); <0.0001
≥28	2.41 (1.56–3.70); <0.0001	1.69 (1.24–2.32); <0.0001
Education, years ┼
7 or below	1.00	1.00
8–12	1.59 (0.87–2.91); 0.130	1.55 (0.98–2.44); 0.058
≥12	2.84 (1.39–5.81); 0.004	1.41 (0.80–2.49); 0.228
Primary occupation ┼
Employed	1.00	1.00
Unemployed	0.55 (0.34–0.88); 0.013	0.94 (0.70–1.26); 0.693
Student	0.16 (0.07–0.36); 0.004	0.25 (0.16–0.40); <0.0001
Received income in the last year ┼
Yes	1.00	1.00
No	1.31 (0.80–2.16); 0.277	1.08 (0.81–1.44); 0.580
Socioeconomic status (SES)
Low	1.00	1.00
Moderate	1.51 (0.97–2.35); 0.064	0.85 (0.61–1.19); 0.357
High	1.88 (1.15–3.08); 0.011	0.70 (0.47–1.03); 0.077
Marital status ┼
Single	1.00	1.00
Married	1.46 (0.86–2.47); 0.150	1.74 (1.21–2.49); 0.002
Currently has a sex partner ┼
Yes	1.00	1.00
No	0.77 (0.53–1.13); 0.190	0.40 (0.30–0.54); <0.0001
Children under care ┼
0	1.00	1.00
1	1.21 (0.87–1.70); 0.250	1.86 (1.41–2.46); <0.0001
≥2	1.35 (0.84–2.18); 0.208	2.61 (1.84–3.70); <0.0001
Source of medical care when in need
Public sector	1.00	1.00
Traditional system	0.36 (0.13–1.04); 0.061	0.57 (0.22–1.47); 0.251
Private/NGO Sector	1.36 (0.95–1.94); 0.084	0.92 (0.70–1.22); 0.592
Plan to migrate in the next 2.5 years ┼	1.00
Yes	0.69 (0.50–0.94); 0.021	1.00
No		0.82 (0.64–1.05); 0.132

^┼Variables adjusted in multivariable model of predictors of repeat HIV testing (age, gender, education, occupation, migration, sex partner, children under care, married, received income) 30

^*Bolded findings reflect statistically significant results (p<0.05).