South Africa has the highest burden of Human Immunodeficiency Virus (HIV)
infections in the world. There is also growing evidence that an
individual’s risk of contracting HIV is increased by the presence of
other sexually transmitted infections (STIs). Primary objective of this study
was to examine the association between the prevalence of STIs in a cohort of
South African women who enrolled in HIV prevention trials (2002–2012).
The current study linked the individual-factors with the community-level
characteristics using geo-referencing. This multi-level data was analysed in
generalized additive mixed models (GAMMS) settings. In the multivariate logistic
regression model, younger age [Odds Ratio (OR):4.30, 95%CI: 3.20, 5.77 and
OR:2.72, 95% CI: 2.02, 3.66 for age<25 and 25–29, respectively];
being single/not cohabiting (OR:4.57, 95% CI: 3.18, 6.53), two+ sex partners
(OR:1.46, 95% CI: 1.18,1.80); parity<2 (OR:2.04, 95% CI: 1.53, 2.72 ),
parity=2 (OR:1.85, 95% CI: 1.37, 2.48), and using injectables (contraceptive)
(OR:1.53, 95%CI: 1.13, 2.06) were all significantly associated with increased
prevalence of STIs. Besides these individual-level characteristics, women who
resided in the communities where high proportions of: female headed-households
(OR: 1.17, 95%CI: 1.02, 1.38), and no schooling (OR: 1.26, 95%CI: 1.08, 1.45).
Because, these factors may reflect characteristics of the larger groups who
share similar cultural norms and social environments, they can provide
considerable insight into the spread of STIs. Prevention strategies based on
individual and community-level drivers of STIs are likely to be the most
effective means of targeting and reaching those at greatest risk of infection.
This strategy has the potential to play a significant role in the
epidemic’s trajectory.