Linked Life Data

10481135

Source:http://linkedlifedata.com/resource/pubmed/id/10481135

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1999-10-20
pubmed:abstractText
The authors used structural modeling to predict institutional aggression among male mentally ill offenders using the predictors of anger, antisocial personality style, current violent offense, ethnicity, and impulsivity. Measures included the Barratt Impulsiveness Scale, the Buss-Perry Aggression Questionnaire, the Personality Assessment Inventory, age, ethnicity, current violent offense, victim injury from current offense, and institutional incidents of physical and verbal aggression. The model fit the data, and accounted for 94% and 87% of the variance of physical and verbal aggression, respectively. Results indicated anger, antisocial personality style, and impulsivity are stronger predictors of institutional aggression than are ethnicity and current violent offense; anger was the best predictor. Results suggest dynamic variables such as anger can be targeted for clinical intervention to reduce institutional violence.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0735-3936
pubmed:author
pubmed:copyrightInfo
Copyright 1999 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
377-89
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Empirically identifying factors related to violence risk in corrections.
pubmed:affiliation
Program Evaluation Department, John T. Montford Psychiatric/Medical Unit, 8602 Peach Street, Lubbock, TX 79404, USA. chceww@ttuhsc.edu
pubmed:publicationType
Journal Article