Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey
Abstract Background South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15–24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW i...
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| Format: | Article |
| Language: | English |
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BMC
2018-01-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-018-5051-3 |
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| author | Musawenkosi Mabaso Zinhle Sokhela Neo Mohlabane Buyisile Chibi Khangelani Zuma Leickness Simbayi |
| author_facet | Musawenkosi Mabaso Zinhle Sokhela Neo Mohlabane Buyisile Chibi Khangelani Zuma Leickness Simbayi |
| author_sort | Musawenkosi Mabaso |
| collection | DOAJ |
| description | Abstract Background South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15–24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW in South Africa. Methods A secondary data analysis was undertaken based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Multivariate stepwise backward and forward regression modelling was used to determine factors independently associated with HIV prevalence. Results Out of 3092 interviewed and tested AGYW 11.4% were HIV positive. Overall HIV prevalence was significantly higher among young women (17.4%) compared to adolescent girls (5.6%). In the AGYW model increased risk of HIV infection was associated with being young women aged 20–24 years (OR = 2.30, p = 0.006), and condom use at last sex (OR = 1.91, p = 0.010), and decreased likelihood was associated with other race groups (OR = 0.06, p < 0.001), sexual partner within 5 years of age (OR = 0.53, p = 0.012), tertiary level education (OR = 0.11, p = 0.002), low risk alcohol use (OR = 0.19, p = 0.022) and having one sexual partner (OR = 0.43, p = 0.028). In the adolescent girls model decreased risk of HIV infection was associated with other race groups (OR = 0.01, p < 0.001), being married (OR = 0.07), p = 0.016], and living in less poor household (OR = 0.08, p = 0.002). In the young women’s models increased risk of HIV infection was associated with condom use at last sex (OR = 2.09, p = 0.013), and decreased likelihood was associated with other race groups (OR = 0.17, p < 0.001), one sexual partner (OR = 0.6, p = 0.014), low risk alcohol use (OR = 0.17, p < 0.001), having a sexual partner within 5 years of age (OR = 0.29, p = 0.022), and having tertiary education (OR = 0.29, p = 0.022). Conclusion These findings support the need to design combination prevention interventions which simultaneously address socio-economic drivers of the HIV epidemic, promote education, equity and access to schooling, and target age-disparate partnerships, inconsistent condom use and risky alcohol consumption. |
| first_indexed | 2024-04-13T17:45:33Z |
| format | Article |
| id | doaj.art-ddea9ac067954913aa0c127ff5f38a0b |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-13T17:45:33Z |
| publishDate | 2018-01-01 |
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| spelling | doaj.art-ddea9ac067954913aa0c127ff5f38a0b2022-12-22T02:37:00ZengBMCBMC Public Health1471-24582018-01-011811710.1186/s12889-018-5051-3Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household surveyMusawenkosi Mabaso0Zinhle Sokhela1Neo Mohlabane2Buyisile Chibi3Khangelani Zuma4Leickness Simbayi5Epidemiology and Strategic Information Unit, HIV/AIDS, STIs and TB programme, Human Sciences Research CouncilHIV/AIDS, STIs and TB programme, Human Sciences Research CouncilHIV/AIDS, STIs and TB programme, Human Sciences Research CouncilHIV/AIDS, STIs and TB programme, Human Sciences Research CouncilResearch Methodology and Data Center, Human Sciences Research CouncilOffice of the Deputy CEO for Research, Human Sciences Research CouncilAbstract Background South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15–24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW in South Africa. Methods A secondary data analysis was undertaken based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Multivariate stepwise backward and forward regression modelling was used to determine factors independently associated with HIV prevalence. Results Out of 3092 interviewed and tested AGYW 11.4% were HIV positive. Overall HIV prevalence was significantly higher among young women (17.4%) compared to adolescent girls (5.6%). In the AGYW model increased risk of HIV infection was associated with being young women aged 20–24 years (OR = 2.30, p = 0.006), and condom use at last sex (OR = 1.91, p = 0.010), and decreased likelihood was associated with other race groups (OR = 0.06, p < 0.001), sexual partner within 5 years of age (OR = 0.53, p = 0.012), tertiary level education (OR = 0.11, p = 0.002), low risk alcohol use (OR = 0.19, p = 0.022) and having one sexual partner (OR = 0.43, p = 0.028). In the adolescent girls model decreased risk of HIV infection was associated with other race groups (OR = 0.01, p < 0.001), being married (OR = 0.07), p = 0.016], and living in less poor household (OR = 0.08, p = 0.002). In the young women’s models increased risk of HIV infection was associated with condom use at last sex (OR = 2.09, p = 0.013), and decreased likelihood was associated with other race groups (OR = 0.17, p < 0.001), one sexual partner (OR = 0.6, p = 0.014), low risk alcohol use (OR = 0.17, p < 0.001), having a sexual partner within 5 years of age (OR = 0.29, p = 0.022), and having tertiary education (OR = 0.29, p = 0.022). Conclusion These findings support the need to design combination prevention interventions which simultaneously address socio-economic drivers of the HIV epidemic, promote education, equity and access to schooling, and target age-disparate partnerships, inconsistent condom use and risky alcohol consumption.http://link.springer.com/article/10.1186/s12889-018-5051-3DeterminantsHIV infectionAdolescent girlsYoung womenSouth Africa |
| spellingShingle | Musawenkosi Mabaso Zinhle Sokhela Neo Mohlabane Buyisile Chibi Khangelani Zuma Leickness Simbayi Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey BMC Public Health Determinants HIV infection Adolescent girls Young women South Africa |
| title | Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey |
| title_full | Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey |
| title_fullStr | Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey |
| title_full_unstemmed | Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey |
| title_short | Determinants of HIV infection among adolescent girls and young women aged 15–24 years in South Africa: a 2012 population-based national household survey |
| title_sort | determinants of hiv infection among adolescent girls and young women aged 15 24 years in south africa a 2012 population based national household survey |
| topic | Determinants HIV infection Adolescent girls Young women South Africa |
| url | http://link.springer.com/article/10.1186/s12889-018-5051-3 |
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