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Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study

BACKGROUND: Violence victimisation and violence perpetration may co-occur in adolescents. Understanding the sociodemographic correlates of the independent and joint profiles of victimisation and perpetration may inform preventive interventions. This study examined the associations of sociodemographi...

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Autores principales: Sui, Xincheng, Massar, Karlijn, Ruiter, Robert A. C., Reddy, Priscilla S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017509/
https://www.ncbi.nlm.nih.gov/pubmed/32050945
http://dx.doi.org/10.1186/s12889-020-8332-6
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author Sui, Xincheng
Massar, Karlijn
Ruiter, Robert A. C.
Reddy, Priscilla S.
author_facet Sui, Xincheng
Massar, Karlijn
Ruiter, Robert A. C.
Reddy, Priscilla S.
author_sort Sui, Xincheng
collection PubMed
description BACKGROUND: Violence victimisation and violence perpetration may co-occur in adolescents. Understanding the sociodemographic correlates of the independent and joint profiles of victimisation and perpetration may inform preventive interventions. This study examined the associations of sociodemographic factors with four violence typologies, namely, 1) non-involvement in both victimisation and perpetration, 2) victims only, 3) perpetrators only, and 4) victim-perpetrators. Trends in the prevalence of the four violence typologies over the three survey years were also examined. METHODS: We used data from the three nationally representative South African Youth Risk Behaviour Surveys conducted in 2002, 2008, and 2011 and included a multi-ethnic sample of adolescents (n = 30,007; boy: 46.9%, girls: 53.1%; M age = 16 years, SD = .06). RESULTS: The sample consisted of 8030 (30.8%) adolescents who had non-involvement in both victimisation and perpetration, 8217 were victims only (29.8%), 2504 were perpetrators only (9.0%), and 7776 were victim-perpetrators (24.6%). Logistic regression analyses showed that being a girl increased the odds of non-involvement (OR: 1.47, 99% CI: 1.36–1.58) and being victims only (OR: 1.90, 99% CI: 1.76–2.05). Being a boy increased the odds of being perpetrators only (OR: 0.42, 99% CI: 0.37–0.47) and victim-perpetrators (OR: 0.51, 99% CI: 0.47–0.55). Adolescents who did not have an absent mother had higher odds of non-involvement (OR: 0.78, 99% CI: 0.62–0.97). Lower monthly allowance increased the odds of victimisation only (OR: 0.99, 99% CI: 0.97–1.00), whereas higher monthly allowance increased the odds of perpetration only (OR: 1.05, 99% CI: 1.03–1.08). Trend analysis showed that between 2002 to 2011, there was an increase in the prevalence of non-involvement in adolescents (p < .001), a decrease in the prevalence of victims only (p < .05) and victim-perpetrators (p < .001), and no changes in the prevalence of perpetrators only (p > .05). CONCLUSIONS: Sociodemographic factors are uniquely associated with different violence typologies suggesting the need for tailored interventions to target adolescents with differed risks to violence victimisation and perpetration. Strengthening family relations, particularly between mother and child, may protect adolescents from the experiences of victimisation and perpetration.
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spelling pubmed-70175092020-02-20 Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study Sui, Xincheng Massar, Karlijn Ruiter, Robert A. C. Reddy, Priscilla S. BMC Public Health Research Article BACKGROUND: Violence victimisation and violence perpetration may co-occur in adolescents. Understanding the sociodemographic correlates of the independent and joint profiles of victimisation and perpetration may inform preventive interventions. This study examined the associations of sociodemographic factors with four violence typologies, namely, 1) non-involvement in both victimisation and perpetration, 2) victims only, 3) perpetrators only, and 4) victim-perpetrators. Trends in the prevalence of the four violence typologies over the three survey years were also examined. METHODS: We used data from the three nationally representative South African Youth Risk Behaviour Surveys conducted in 2002, 2008, and 2011 and included a multi-ethnic sample of adolescents (n = 30,007; boy: 46.9%, girls: 53.1%; M age = 16 years, SD = .06). RESULTS: The sample consisted of 8030 (30.8%) adolescents who had non-involvement in both victimisation and perpetration, 8217 were victims only (29.8%), 2504 were perpetrators only (9.0%), and 7776 were victim-perpetrators (24.6%). Logistic regression analyses showed that being a girl increased the odds of non-involvement (OR: 1.47, 99% CI: 1.36–1.58) and being victims only (OR: 1.90, 99% CI: 1.76–2.05). Being a boy increased the odds of being perpetrators only (OR: 0.42, 99% CI: 0.37–0.47) and victim-perpetrators (OR: 0.51, 99% CI: 0.47–0.55). Adolescents who did not have an absent mother had higher odds of non-involvement (OR: 0.78, 99% CI: 0.62–0.97). Lower monthly allowance increased the odds of victimisation only (OR: 0.99, 99% CI: 0.97–1.00), whereas higher monthly allowance increased the odds of perpetration only (OR: 1.05, 99% CI: 1.03–1.08). Trend analysis showed that between 2002 to 2011, there was an increase in the prevalence of non-involvement in adolescents (p < .001), a decrease in the prevalence of victims only (p < .05) and victim-perpetrators (p < .001), and no changes in the prevalence of perpetrators only (p > .05). CONCLUSIONS: Sociodemographic factors are uniquely associated with different violence typologies suggesting the need for tailored interventions to target adolescents with differed risks to violence victimisation and perpetration. Strengthening family relations, particularly between mother and child, may protect adolescents from the experiences of victimisation and perpetration. BioMed Central 2020-02-12 /pmc/articles/PMC7017509/ /pubmed/32050945 http://dx.doi.org/10.1186/s12889-020-8332-6 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Sui, Xincheng
Massar, Karlijn
Ruiter, Robert A. C.
Reddy, Priscilla S.
Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title_full Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title_fullStr Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title_full_unstemmed Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title_short Violence typologies and sociodemographic correlates in South African adolescents: a three-wave cross-sectional study
title_sort violence typologies and sociodemographic correlates in south african adolescents: a three-wave cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017509/
https://www.ncbi.nlm.nih.gov/pubmed/32050945
http://dx.doi.org/10.1186/s12889-020-8332-6
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