Clustering of adolescent dating violence, peer violence, and suicidal behavior.

Full Abstract

To understand the co-occurrence of multiple types of violence, the authors developed a behavioral typology based on self-reports of suicidal behaviors, physical violence, and psychological abuse. Using a sample of dating adolescents from a high-risk school district, they identified five clusters of behaviors among the 1,653 students who reported being abusive or violent in the past year. Victimization and perpetration with same-sex peers and dating partners clustered together among the students who reported the highest levels of abusive (n = 357) or violent behavior (n = 146). These students also reported high levels of suicidal behavior. There were few significant demographic differences across clusters. The implications of the results for the need to design and evaluate efforts to prevent multiple types of violence are discussed.

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Author information

Author/s: Bossarte, Robert M (RM); Simon, Thomas R (TR); Swahn, Monica H (MH);

Affiliation: Centers for Disease Control and Prevention.

Journal and publication information

Publication Type: Journal Article

Journal: Journal of interpersonal violence (J Interpers Violence), published in United States. (Language: eng)

Reference: 2008-Jun; vol 23 (issue 6) : pp 815-33

Dates: Created 2008/05/02; Completed 2008/07/22;

PMID: 18252941, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adolescent
Adolescent Behavior
Aggression - psychology
Courtship
Female
Humans
Male
Peer Group
Quality of Life

Questionnaires
Risk Factors
Risk-Taking
Sexual Behavior - statistics & numerical data
Students - psychology; statistics & numerical data
Substance-Related Disorders - epidemiology
Suicide, Attempted - psychology; statistics & numerical data
United States - epidemiology
Violence - psychology; statistics & numerical data

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