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

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          Abstract

          Background

          Despite 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.

          Methods

          Data 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.

          Results

          Findings 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.

          Conclusion

          The 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.

          Plain language summary

          Risky sexual behaviour is most common among young people aged 15–24 years and is associated with an increase in sexually transmitted infections, including HIV/AIDS among this young productive age category. However, no adequate progress has been made in the reduction of these infectious diseases at the community level in South Africa. In this study, we investigate the effect of neighbourhood and individual-level factors leading to two measures of risky sexual behaviour; unprotected sex (non-condom use) and multiple sexual partnerships among young people. In this study, the target for young people in the South African context was because the country has a youthful population. Understanding the influence of neighbourhood and individual-level factors on the sexual behaviour of young people can help them live healthy as they transition to adulthood. We utilized cross-sectional data from the most recent South Africa Demographic and Health Survey, which was analyzed separately for males and females respectively, due to the cultural differences in sexual practices observed in many communities in South Africa. Our results confirmed an association between the neighbourhood and individual-level factors with youth engagement in risky sexual behaviour in South Africa. These results, imply that there is a need to review policies regarding the community-based interventions for sexual and reproductive health in other to reduce risky sexual behaviour among young people in South Africa.

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          Most cited references57

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          An Ecological Perspective on Health Promotion Programs

          During the past 20 years there has been a dramatic increase in societal interest in preventing disability and death in the United States by changing individual behaviors linked to the risk of contracting chronic diseases. This renewed interest in health promotion and disease prevention has not been without its critics. Some critics have accused proponents of life-style interventions of promoting a victim-blaming ideology by neglecting the importance of social influences on health and disease. This article proposes an ecological model for health promotion which focuses attention on both individual and social environmental factors as targets for health promotion interventions. It addresses the importance of interventions directed at changing interpersonal, organizational, community, and public policy, factors which support and maintain unhealthy behaviors. The model assumes that appropriate changes in the social environment will produce changes in individuals, and that the support of individuals in the population is essential for implementing environmental changes.
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            Constructing socio-economic status indices: how to use principal components analysis.

            Theoretically, measures of household wealth can be reflected by income, consumption or expenditure information. However, the collection of accurate income and consumption data requires extensive resources for household surveys. Given the increasingly routine application of principal components analysis (PCA) using asset data in creating socio-economic status (SES) indices, we review how PCA-based indices are constructed, how they can be used, and their validity and limitations. Specifically, issues related to choice of variables, data preparation and problems such as data clustering are addressed. Interpretation of results and methods of classifying households into SES groups are also discussed. PCA has been validated as a method to describe SES differentiation within a population. Issues related to the underlying data will affect PCA and this should be considered when generating and interpreting results.
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              SOCIAL DISORGANIZATION AND THEORIES OF CRIME AND DELINQUENCY: PROBLEMS AND PROSPECTS*

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                Author and article information

                Contributors
                clifford.odimegwu@wits.ac.za
                henryhills02@yahoo.com
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                12 May 2022
                12 May 2022
                2022
                : 19
                : 119
                Affiliations
                [1 ]GRID grid.11951.3d, ISNI 0000 0004 1937 1135, Demography and Population Studies Programme, Schools of Public Health and Social Sciences, , University of the Witwatersrand, ; Johannesburg, South Africa
                [2 ]GRID grid.10757.34, ISNI 0000 0001 2108 8257, Institute for Development Studies, , University of Nigeria, ; Enugu Campus, Nigeria
                Author information
                http://orcid.org/0000-0001-7457-4363
                Article
                1407
                10.1186/s12978-022-01407-9
                9096753
                35549967
                9a4c1c15-3f87-4735-8814-ceeec3ee111d
                © The Author(s) 2022

                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.

                History
                : 10 January 2022
                : 5 April 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Obstetrics & Gynecology
                neighbourhood and individual-level factors,risky sexual behaviour,youth,south africa

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