Intimate Partner Violence Among Adolescents in Cape Town, South Africa View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-06

AUTHORS

Marcia Russell, Pamela K. Cupp, Rachel K. Jewkes, Anik Gevers, Catherine Mathews, Chantel LeFleur-Bellerose, Jeon Small

ABSTRACT

This study aimed to describe potentially preventable factors in intimate partner violence (IPV) perpetration and victimization among South African 8th grade students. Data were collected during a pilot evaluation of a classroom 8th grade curriculum on gender-based violence prevention in nine public schools in Cape Town through self-completed interviews with 549 8th grade students, 238 boys and 311 girls. Structural equation models (SEM) predicting IPV were constructed with variables a priori hypothesized to be associated. The majority of students (78.5 %) had had a partner in the past 3 months, and they reported high rates of IPV during that period (e.g., over 10 % of boys reported forcing a partner to have sex, and 39 % of girls reported physical IPV victimization). A trimmed version of the hypothesized SEM (CFI = .966; RMSEA = .051) indicated that disagreement with the ideology of male superiority and violence predicted lower risk of IPV (p < .001), whereas the frequency of using negative conflict resolution styles (e.g., walking off angrily, sending angry text messages, or refusing to talk to them) predicted high IPV risk (p < .001) and mediated the impact of heavy alcohol drinking on IPV (Sobel test, z = 3.16; p < .001). The model fit both girls and boys, but heavy drinking influenced negative styles of resolving conflict more strongly among girls than boys. Findings suggest that interventions to reduce IPV among South African adolescents should challenge attitudes supportive of male superiority and violence; encourage use of positive conflict resolution styles; and discourage heavy alcohol use among both boys and girls. More... »

PAGES

283-295

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11121-013-0405-7

DOI

http://dx.doi.org/10.1007/s11121-013-0405-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027186892

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23743796


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HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11121-013-0405-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11121-013-0405-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11121-013-0405-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11121-013-0405-7'


 

This table displays all metadata directly associated to this object as RDF triples.

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