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   <dc:title>Development of an HIV risk index for university students in KwaZulu-Natal, South Africa</dc:title>
   <dc:creator>Pillay, Trishka</dc:creator>
   <dc:contributor>Reddy, Poovendhree</dc:contributor>
   <dc:contributor>Govender, Nalini</dc:contributor>
   <dc:subject>HIV Infections</dc:subject>
   <dc:subject>University students</dc:subject>
   <dc:subject>Risk factors</dc:subject>
   <dc:subject>HIV infections--Risk factors--South Africa--KwaZulu-Natal</dc:subject>
   <dc:subject>AIDS (Disease)--Risk factors--South Africa--KwaZulu-Natal</dc:subject>
   <dc:subject>College students--Health and hygiene--South Africa--KwaZulu-Natal</dc:subject>
   <dc:description>Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in Health Sciences at the Durban University of Technology, Durban, South Africa, 2024.</dc:description>
   <dc:description>Background: Human Immunodeficiency Virus (HIV) infection is a global health challenge, &#xd;
with developing countries most affected by the HIV burden. In South Africa (SA), young &#xd;
people aged 15 to 24 years are exceptionally vulnerable to HIV infection. University students &#xd;
are a segment of this vulnerable age group in SA. Significant effort and resources have been &#xd;
invested in HIV prevention and treatment such as availability of free government issue &#xd;
condoms, a large-scale antiretroviral (ARV) programme and intensification of other public &#xd;
health interventions such as male medical circumcision (MMC) and the availability of Pre&#xd;
exposure prophylaxis (PrEP). Nonetheless, HIV still poses a critical public health challenge 40 &#xd;
years post discovery, particularly among young people. Factors that may increase susceptibility &#xd;
include substance usage, tendency to engage in risky sexual behaviours (RSBs) such as &#xd;
transactional sex, inconsistent condom usage and engaging in sex with multiple partners. &#xd;
Poverty may further perpetuate RSBs such as transactional sex for money or to acquire basic &#xd;
needs. University students form part of the country’s economic backbone and are the future &#xd;
leaders of the country, thus context driven HIV prevention interventions for this unique &#xd;
population are imperative. HIV risk is multidimensional and in order to develop effective &#xd;
prevention interventions, risk factors associated with RSBs and HIV seropositivity must be &#xd;
further explored.    &#xd;
Aim: The study aimed to analyse the behavioural and socio-economic components of risk &#xd;
associated with HIV and health among student populations in an attempt to design an evidence&#xd;
based risk index.   &#xd;
Methodology: This study used a case control study design. Study sites included the four major &#xd;
public sector higher educational institutions (HEIs) in KwaZulu-Natal, South Africa. A &#xd;
structured questionnaire was used to collect data using convenience sampling from the study &#xd;
population with consisted of 375 HIV uninfected students (controls) and 125 HIV infected &#xd;
students (cases). STATA-version 17 was used to conduct data analysis. Data collected from &#xd;
controls was initially used to conduct a preliminary analysis to explore the association between &#xd;
food insecurity which was a socio-economic risk factor and RSBs. Subsequently, the main &#xd;
analysis was undertaken to investigate associations of the following: socio-economic, &#xd;
behavioural and knowledge risk factors with RSBs and HIV seropositivity using bivariate &#xd;
analysis and logistic regression modelling. Results from the case control data analysed was &#xd;
used to develop an HIV risk index tool, for specific use among university students.  Key findings: Preliminary data analysis of control data found significant associations between &#xd;
food insecurity and students engaging in transactional sex for money as well as to meet basic &#xd;
needs. Participants who were food insecure were twice as likely to have multiple sexual &#xd;
partners. The case control analysis with socio-economic risk factors revealed a significant &#xd;
association between socio-economic measures, RSBs and HIV seropositivity. Overall, food &#xd;
insecurity increased the likelihood of multiple partners, transactional sex for money, and &#xd;
transactional sex for basic needs. Students who accessed the government funding scheme and &#xd;
shared the bursary/ loan were more likely to be HIV seropositive. Results from the analysis on &#xd;
behavioural risk factors indicated that heavy episodic drinking [aOR: 2.73 (1.38; 5.44), 0.004], &#xd;
drugs before sex [aOR: 7.46 (2.11; 27.88), 0.003], and a higher number of lifetime sex partners &#xd;
(2 to 5 partners) [aOR: 4.22(1.69; 10.54), 0.002] and ≥ 6 partners [aOR: 16.36 (6.18; 43.28), &#xd;
0.000] increased students’ likelihood of having multiple concurrent sex partners. High risk &#xd;
behaviours such as sex with multiple partners and inconsistent condom use were more &#xd;
prevalent among HIV uninfected students. Data from our study showed that both HIV infected, &#xd;
and uninfected students displayed a better understanding regarding modes of HIV transmission &#xd;
compared to prevention methods. Students with poor knowledge regarding HIV prevention &#xd;
were 2.34 times more likely to be HIV positive and those demonstrating poor knowledge about &#xd;
HIV transmission were 4.79 times more likely to be HIV positive. Several misconceptions &#xd;
regarding HIV transmission methods were prevalent among both HIV infected and uninfected &#xd;
students. The above findings regarding socio-economic, behavioural and knowledge risk &#xd;
factors were used to develop an HIV risk index tool based on logistic regression models. The &#xd;
risk index score comprises 17 factors and used an aggregated score to formulate three risk &#xd;
categories namely, low, medium, and high-risk categories. Questions were formulated for the &#xd;
risk index tool based on variables used in the data analysis.  &#xd;
Conclusion: Our findings demonstrate that university students are at an increased risk of &#xd;
engagement in RSBs which may consequently lead to HIV infection. Therefore, it is of critical &#xd;
importance for public health officials to consider the multidimensional aspects of HIV risk in &#xd;
the university student population when designing interventions targeted at this vulnerable &#xd;
group. Risk measurement is important to guide HIV prevention methods such as Pre-exposure &#xd;
prophylaxis (PrEP). The developed risk index tool has the potential to serve as a powerful &#xd;
public health tool for measurement of HIV risk among university students in developing &#xd;
countries. However, further testing and evaluation is required before implementation.</dc:description>
   <dc:description>D</dc:description>
   <dc:date>2024-10-06T21:41:42Z</dc:date>
   <dc:date>2024-10-06T21:41:42Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/10321/5565</dc:identifier>
   <dc:identifier>https://doi.org/10.51415/10321/5565</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>273 p</dc:format>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>