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

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dc.contributor.authorMabaso, Musawenkosi
dc.contributor.authorMlangeni, Lungelo
dc.contributor.authorMakola, Lehlogonolo
dc.contributor.authorOladimeji, Olanrewaju
dc.contributor.authorNaidoo, Inbarani
dc.contributor.authorNaidoo, Yogandra
dc.contributor.authorChibi, Buyisile
dc.contributor.authorZuma, Khangelani
dc.contributor.authorSimbayi, Leickness
dc.date.accessioned2021-10-11T17:23:44Z
dc.date.available2021-10-11T17:23:44Z
dc.date.issued2021-03-12
dc.date.updated2021-03-14T04:12:08Z
dc.description.abstractBackground 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.en_US
dc.identifier.apacitationMabaso, M., Mlangeni, L., Makola, L., Oladimeji, O., Naidoo, I., Naidoo, Y., ... Simbayi, L. (2021). 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. <i>Emerging Themes in Epidemiology</i>, 18(Article number: 3), http://hdl.handle.net/11427/35168en_ZA
dc.identifier.chicagocitationMabaso, Musawenkosi, Lungelo Mlangeni, Lehlogonolo Makola, Olanrewaju Oladimeji, Inbarani Naidoo, Yogandra Naidoo, Buyisile Chibi, Khangelani Zuma, and Leickness Simbayi "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." <i>Emerging Themes in Epidemiology</i> 18, Article number: 3. (2021) http://hdl.handle.net/11427/35168en_ZA
dc.identifier.citationMabaso, M., Mlangeni, L., Makola, L., Oladimeji, O., Naidoo, I., Naidoo, Y., Chibi, B. & Zuma, K. et al. 2021. 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. <i>Emerging Themes in Epidemiology.</i> 18(Article number: 3) http://hdl.handle.net/11427/35168en_ZA
dc.identifier.ris TY - Journal Article AU - Mabaso, Musawenkosi AU - Mlangeni, Lungelo AU - Makola, Lehlogonolo AU - Oladimeji, Olanrewaju AU - Naidoo, Inbarani AU - Naidoo, Yogandra AU - Chibi, Buyisile AU - Zuma, Khangelani AU - Simbayi, Leickness AB - 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. DA - 2021-03-12 DB - OpenUCT DP - University of Cape Town IS - Article number: 3 J1 - Emerging Themes in Epidemiology KW - Age-disparate KW - Sexual partnerships KW - Multinomial analysis KW - South Africa LK - https://open.uct.ac.za PY - 2021 T1 - 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 TI - 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 UR - http://hdl.handle.net/11427/35168 ER - en_ZA
dc.identifier.urihttps://doi.org/10.1186/s12982-021-00093-5
dc.identifier.urihttp://hdl.handle.net/11427/35168
dc.identifier.vancouvercitationMabaso M, Mlangeni L, Makola L, Oladimeji O, Naidoo I, Naidoo Y, et al. 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. Emerging Themes in Epidemiology. 2021;18(Article number: 3) http://hdl.handle.net/11427/35168.en_ZA
dc.language.isoenen_US
dc.language.rfc3066en
dc.publisher.departmentDepartment of Psychiatry and Mental Healthen_US
dc.publisher.facultyFaculty of Health Sciencesen_US
dc.rights.holderThe Author(s)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceEmerging Themes in Epidemiologyen_US
dc.source.journalissueArticle number: 3en_US
dc.source.journalvolume18en_US
dc.source.urihttps://ete-online.biomedcentral.com/
dc.subjectAge-disparateen_US
dc.subjectSexual partnershipsen_US
dc.subjectMultinomial analysisen_US
dc.subjectSouth Africaen_US
dc.titleFactors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey dataen_US
dc.typeJournal Articleen_US
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