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Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data
BACKGROUND: In South Africa, age-disparate to sexual relationships where the age difference between partners is 5 years or greater is an important contributor to the spread of HIV. However, little is known about the predictors of age-disparate sexual relationships. This study investigates factors as...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953539/ https://www.ncbi.nlm.nih.gov/pubmed/33706776 http://dx.doi.org/10.1186/s12982-021-00093-5 |
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author | Mabaso, Musawenkosi Mlangeni, Lungelo Makola, Lehlogonolo Oladimeji, Olanrewaju Naidoo, Inbarani Naidoo, Yogandra Chibi, Buyisile Zuma, Khangelani Simbayi, Leickness |
author_facet | Mabaso, Musawenkosi Mlangeni, Lungelo Makola, Lehlogonolo Oladimeji, Olanrewaju Naidoo, Inbarani Naidoo, Yogandra Chibi, Buyisile Zuma, Khangelani Simbayi, Leickness |
author_sort | Mabaso, Musawenkosi |
collection | PubMed |
description | BACKGROUND: In South Africa, age-disparate to sexual relationships where the age difference between partners is 5 years or greater is an important contributor to the spread of HIV. However, little is known about the predictors of age-disparate sexual relationships. This study investigates factors associated with age-disparate sexual relationships among males and females in South Africa. METHODS: This analysis used the 2012 nationally representative population-based household survey conducted using multi-stage stratified cluster sampling design. Multivariate multinomial stepwise logistic regression models were used to determine factors associated with age-disparate sexual relationships. RESULTS: Of 15,717 participants, who responded to the question on age-disparate sexual relationships, 62% males versus 58.5% females had partners within 5 years older or younger, 34.7% of males versus 2.7% of females had partners at least 5 years younger and 3.3% of males versus 38.8% of females had partners at least 5 years older. Among both males and females predictors of age-disparate sexual relationships were education, employment, socioeconomic status, locality type, age at sexual debut, condom use at last sexual act and HIV status while race was also an additional predictor for among females. Including unprotected sex and risk of HIV infection among adolescent girls and young women with sexual partners 5 years older their age. CONCLUSIONS: This study suggest that there is a need for reprioritizing the combination of behavioural and structural interventions to address risky sexual behaviours, unprotected sex, poverty, limited education and gender inequitable norms related to age-disparate sexual relationships and HIV. |
format | Online Article Text |
id | pubmed-7953539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79535392021-03-12 Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data Mabaso, Musawenkosi Mlangeni, Lungelo Makola, Lehlogonolo Oladimeji, Olanrewaju Naidoo, Inbarani Naidoo, Yogandra Chibi, Buyisile Zuma, Khangelani Simbayi, Leickness Emerg Themes Epidemiol Research Article BACKGROUND: In South Africa, age-disparate to sexual relationships where the age difference between partners is 5 years or greater is an important contributor to the spread of HIV. However, little is known about the predictors of age-disparate sexual relationships. This study investigates factors associated with age-disparate sexual relationships among males and females in South Africa. METHODS: This analysis used the 2012 nationally representative population-based household survey conducted using multi-stage stratified cluster sampling design. Multivariate multinomial stepwise logistic regression models were used to determine factors associated with age-disparate sexual relationships. RESULTS: Of 15,717 participants, who responded to the question on age-disparate sexual relationships, 62% males versus 58.5% females had partners within 5 years older or younger, 34.7% of males versus 2.7% of females had partners at least 5 years younger and 3.3% of males versus 38.8% of females had partners at least 5 years older. Among both males and females predictors of age-disparate sexual relationships were education, employment, socioeconomic status, locality type, age at sexual debut, condom use at last sexual act and HIV status while race was also an additional predictor for among females. Including unprotected sex and risk of HIV infection among adolescent girls and young women with sexual partners 5 years older their age. CONCLUSIONS: This study suggest that there is a need for reprioritizing the combination of behavioural and structural interventions to address risky sexual behaviours, unprotected sex, poverty, limited education and gender inequitable norms related to age-disparate sexual relationships and HIV. BioMed Central 2021-03-12 /pmc/articles/PMC7953539/ /pubmed/33706776 http://dx.doi.org/10.1186/s12982-021-00093-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mabaso, Musawenkosi Mlangeni, Lungelo Makola, Lehlogonolo Oladimeji, Olanrewaju Naidoo, Inbarani Naidoo, Yogandra Chibi, Buyisile Zuma, Khangelani Simbayi, Leickness Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title | Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title_full | Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title_fullStr | Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title_full_unstemmed | Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title_short | Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data |
title_sort | factors associated with age-disparate sexual partnerships among males and females in south africa: a multinomial analysis of the 2012 national population-based household survey data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953539/ https://www.ncbi.nlm.nih.gov/pubmed/33706776 http://dx.doi.org/10.1186/s12982-021-00093-5 |
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