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Prediction of intimate partner violence by type of substance use disorder

Overview of attention for article published in Journal of Substance Use and Addiction Treatment, October 2013
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Title
Prediction of intimate partner violence by type of substance use disorder
Published in
Journal of Substance Use and Addiction Treatment, October 2013
DOI 10.1016/j.jsat.2013.10.010
Pubmed ID
Authors

Fleur L. Kraanen, Ellen Vedel, Agnes Scholing, Paul M.G. Emmelkamp

Abstract

The present study investigated whether (combinations of) specific substance use disorders predicted any and severe perpetration and victimization in males and females entering substance abuse treatment. All patients (N = 1799) were screened for IPV perpetration and victimization; almost one third of the sample committed or experienced any IPV in the past year. For males, an alcohol use disorder in combination with a cannabis and/or cocaine use disorder significantly predicted any IPV (perpetration and/or victimization) as well as severe IPV perpetration. For females, alcohol and cocaine abuse/dependence predicted both any IPV (perpetration and/or victimization) and severe IPV perpetration. Results from the present study emphasize the importance of routinely assessing IPV in patients in substance abuse treatment and demonstrate that clinicians should be particularly alert for IPV in patients with specific substance use disorder combinations.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 19%
Student > Bachelor 13 12%
Researcher 10 9%
Student > Ph. D. Student 10 9%
Student > Doctoral Student 7 7%
Other 14 13%
Unknown 32 30%
Readers by discipline Count As %
Psychology 25 24%
Social Sciences 13 12%
Medicine and Dentistry 11 10%
Nursing and Health Professions 8 8%
Unspecified 3 3%
Other 12 11%
Unknown 34 32%