Back to Search
Start Over
The Relationship Between Gambling Severity and Risk of Criminal Recidivism
- Source :
- Journal of forensic sciences. 63(4)
- Publication Year :
- 2017
-
Abstract
- Individuals involved with the criminal justice system have the highest prevalence of gambling disorder. Yet, this is an understudied area, especially in relation to postrelease functioning and recidivism risk. Participants (N = 100) were recruited from a local nonprofit organization and a federal probation office. Participants completed both self-report and interviewer-administered questionnaires assessing past-year and lifetime gambling behaviors and problems, legal history, health, and risk of recidivism. Past-year (8%) and lifetime (18%) rates of gambling disorder among the current sample are significantly greater than those of the general population and similar to rates found in incarcerated populations. Furthermore, 13% of individuals reported a direct relationship between their gambling and crime, and analyses revealed that increased gambling severity was a significant predictor of increased recidivism risk. Results suggest the need for screening and intervention efforts and call for policy reform among incarcerated and ex-offender populations.
- Subjects :
- Adult
Male
Risk
medicine.medical_specialty
Nonprofit organization
Substance-Related Disorders
media_common.quotation_subject
Population
030508 substance abuse
Prison
Severity of Illness Index
Pathology and Forensic Medicine
Midwestern United States
03 medical and health sciences
Current sample
0302 clinical medicine
Intervention (counseling)
Surveys and Questionnaires
Genetics
medicine
Humans
Psychiatry
education
media_common
education.field_of_study
Recidivism
Prisoners
030227 psychiatry
Forensic psychology
Gambling
Female
Crime
0305 other medical science
Psychology
Criminal justice
Subjects
Details
- ISSN :
- 15564029
- Volume :
- 63
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of forensic sciences
- Accession number :
- edsair.doi.dedup.....18daed0ddd606480c250ee9ff85216f8