Evidence map›Paper›PMID 35549967›Full record

ArticleReproductive health2022

A multilevel mixed effect analysis of neighbourhood and individual level determinants of risky sexual behaviour among young people in South Africa.

Clifford Obby Odimegwu, Nebechukwu Henry Ugwu

Abstract read
In one paragraph

Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  14. Prevalence and Predictors of Risky Sexual Behavior Among Young Men in India: Evidence From National Family Health Survey.International journal of sexual health : official journal of the World Association for Sexual Health · 2024
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  19. Unmarried Sri Lankan youth: sexual behaviour and contraceptive use.Contraception and reproductive medicine · 2022
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Clifford Obby OdimegwuDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nebechukwu Henry UgwuDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa. henryhills02@yahoo.com.ORCID http://orcid.org/0000-0001-7457-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite national and international commitments and efforts to prevent risky sexual behaviours, a high proportion of young people in South Africa are engaged in risky sexual behaviour. However, most efforts are currently directed toward addressing individual-level factors at the expense of not addressing neighbourhood-level determinants such as social disorganisation, contributing to risky sexual behaviour among young people in South Africa. This study investigated the multilevel factors of risky sexual behaviours among young people by gender in South Africa, using the lens of socio-ecological and social disorganisation frameworks.

methodsData from a nationally representative sample of 1268 males and 2621 females aged 15-24 years, giving a total of, 3889 never-married youths, were drawn from the 2016 South Africa Demographic and Health Survey. Analysis was conducted using multilevel mixed-effect logistic regressions with random community-level effects.

resultsFindings show that youth who were from a heterogeneous ethnic group (AOR = 0.49, CI: 0.35-0.67), household size of 5 + members (AOR = 0.78, CI: 0.54-1.15), community education (AOR = 0.97, CI: 0.72-1.32) were associated with low engagement in multiple sexual partnerships. Youths who were employed (AOR = 0.84, CI: 0.59-1.18), and from high-level community poverty (AOR = 0.76, CI: 0.58-1.00) were also associated with reduced odds of unprotected sex. In addition, older youth aged 20-24 years (AOR = 12.6, CI: 9.93-16.00); secondary education attainment (AOR = 1.01, CI 0.58-1.77); family structure (AOR = 1.37, CI: 0.75-1.15); Gauteng province (AOR = 1.45 CI: 0.92-2.28); residential mobility (AOR = 1.25, CI: 1.02-1.53), community media exposure to contraceptives (unprotected sex) (AOR = 1.38, CI: 1.09-1.76) were more likely to engage in risky sexual behaviour.

conclusionThe study revealed that neighbourhood and individual-level factors were important in explaining the factors associated with risky sexual behaviour among young people in South Africa. In addition, engagement in risky sexual behaviour was high, with minimal variation among young females and males in South Africa. It specifies that the practice of risky sexual behaviour is significantly associated with multilevel factors of social disorganisation that cut across gender. These results imply that there is a need to review policies of sexual risks reduction for each gender, which might help mitigate the adverse effects of social disorganisation for women and men youths in South Africa.

Indexed as

HIV InfectionsSexual BehaviorAdolescentFemaleHumansMaleRisk-TakingSouth AfricaUnsafe SexNeighbourhood and individual-level factorsRisky sexual behaviourSouth AfricaYouth

Identifiers

PMID35549967
PMCPMC9096753

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.