Socio-cultural correlates and risky sexual behaviour influencing prevalence of HIV/AIDS and STIs in Uganda: A gender perspective
Cogent Social Sciences
The present study focuses on the behavioural factors especially risky sexual behaviours along with the other socio-economic correlates of the high prevalence of STIs and HIV infection in Uganda. The Uganda AIDS Indicator Survey (2011) data is used. The total sample is 16,607 of which 7,122 are men and 9,485 are women. HIV prevalence is high among men (33.4%) and women (50.2%) with any sexually transmitted infections (STIs) or STI symptoms. Women are significantly more vulnerable to any STIs and
... ble to any STIs and HIV/AIDS than men. The prevalence of HIV and STIs is much higher among widow, divorced and separated. Drinking alcohol and not using a condom during sex, having two or more sexual partners are the contributing factors to high HIV and STIs prevalence. Awareness of preventive methods and transmission of STIs, and changes in sexual behaviour are required. The difference in the prevalence of STIs and HIV among men and women can be minimised by increasing employment opportunity for women, by securing woman's sexual right through legal protection and by targeting men's perception towards women's sexuality. The variables used in the present study have been discussed in the following two groups: Predictor variables: The key predictor or independent variables are re-coded as per the requirement of the analysis. The major variables are sex, age group of men and women, marital status, highest education level, worked in last 12 months, type of residence, region, wealth quintile, religion and ethnicity. Other predictor variables related to risky sexual behaviour are age at first sex, number of sex partner, condom used for first sex, condom used at last sex, consume alcohol during sex and higher risk sex (sex with non-marital, non-cohabiting partners). Outcome variables: The principal outcome or dependent variables are prevalence of HIV and any sexually transmitted diseases (STIs) in last 12 months of survey. Since both the variables are dichotomous, hence they are recoded in yes and no.