Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review

Background: Globally, most young women have an unmet need for sexual and reproductive health (SRH), which remains a public health concern. Identifying the predictors can help reduce this challenge. Aim: This scoping review maps evidence on predictors of adverse sexual and reproductive health outcom...

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Autores principales: Obasanjo A. Bolarinwa, Tlou Boikhutso
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Publicado: AOSIS 2021
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Acceso en línea:https://doaj.org/article/735316fd01fb4719b51d49968ce96ffb
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spelling oai:doaj.org-article:735316fd01fb4719b51d49968ce96ffb2021-11-24T07:43:58ZMapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review2071-29282071-293610.4102/phcfm.v13i1.3091https://doaj.org/article/735316fd01fb4719b51d49968ce96ffb2021-11-01T00:00:00Zhttps://phcfm.org/index.php/phcfm/article/view/3091https://doaj.org/toc/2071-2928https://doaj.org/toc/2071-2936Background: Globally, most young women have an unmet need for sexual and reproductive health (SRH), which remains a public health concern. Identifying the predictors can help reduce this challenge. Aim: This scoping review maps evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa. Method: Askey and O’Malley’s framework guided this review. We searched five databases from January 2000 to December 2020 using relevant keywords, Boolean terms and medical subject heading terms. All relevant extracted data were organised into the study themes, and summary of all the findings were reported in a narrative format. Results: Nine studies met the inclusion criteria out of 1219 studies identified. Four out of the nine studies were national-based studies, while the remaining five studies were conducted in Western Cape (two), Eastern Cape (two) and KwaZulu-Natal (one). Out of the nine studies included, three reported predictors of unintended pregnancy, while six reported predictors of sexually transmitted infections and HIV among young women in South Africa. The most prevailing predictors of adverse sexual and reproductive health outcomes were gender-based violence and alcohol use, while other predictors were lower socio-economic status, place of residence, multiple sexual partnerships, low education and being between the ages of 20–24 years. Conclusion: We conclude that gender-based violence and alcohol abuse are the most prevailing predictors of adverse sexual and reproductive health outcomes among young women in South Africa.Obasanjo A. BolarinwaTlou BoikhutsoAOSISarticlepredictorsadversesexual and reproductive health outcomesunintended pregnancystis/hivsouth africaMedicineRPublic aspects of medicineRA1-1270ENFRAfrican Journal of Primary Health Care & Family Medicine, Vol 13, Iss 1, Pp e1-e10 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic predictors
adverse
sexual and reproductive health outcomes
unintended pregnancy
stis/hiv
south africa
Medicine
R
Public aspects of medicine
RA1-1270
spellingShingle predictors
adverse
sexual and reproductive health outcomes
unintended pregnancy
stis/hiv
south africa
Medicine
R
Public aspects of medicine
RA1-1270
Obasanjo A. Bolarinwa
Tlou Boikhutso
Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
description Background: Globally, most young women have an unmet need for sexual and reproductive health (SRH), which remains a public health concern. Identifying the predictors can help reduce this challenge. Aim: This scoping review maps evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa. Method: Askey and O’Malley’s framework guided this review. We searched five databases from January 2000 to December 2020 using relevant keywords, Boolean terms and medical subject heading terms. All relevant extracted data were organised into the study themes, and summary of all the findings were reported in a narrative format. Results: Nine studies met the inclusion criteria out of 1219 studies identified. Four out of the nine studies were national-based studies, while the remaining five studies were conducted in Western Cape (two), Eastern Cape (two) and KwaZulu-Natal (one). Out of the nine studies included, three reported predictors of unintended pregnancy, while six reported predictors of sexually transmitted infections and HIV among young women in South Africa. The most prevailing predictors of adverse sexual and reproductive health outcomes were gender-based violence and alcohol use, while other predictors were lower socio-economic status, place of residence, multiple sexual partnerships, low education and being between the ages of 20–24 years. Conclusion: We conclude that gender-based violence and alcohol abuse are the most prevailing predictors of adverse sexual and reproductive health outcomes among young women in South Africa.
format article
author Obasanjo A. Bolarinwa
Tlou Boikhutso
author_facet Obasanjo A. Bolarinwa
Tlou Boikhutso
author_sort Obasanjo A. Bolarinwa
title Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
title_short Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
title_full Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
title_fullStr Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
title_full_unstemmed Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review
title_sort mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in south africa: a scoping review
publisher AOSIS
publishDate 2021
url https://doaj.org/article/735316fd01fb4719b51d49968ce96ffb
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