Risk factors for recidivism in individuals receiving community sentences: a systematic review and meta-analysis (2019)

By Denis Yukhnenko, Nigel Blackwood, and Seena Fazel |

University of Oxford and King's College London -

This meta-analysis study examines how static (non-modifiable) and dynamic (modifiable) risk factors correlates with recidivism in individuals receiving community sentences. Looking through databases and studies conducted in Europe and the United States, the authors find that overreliance on static risk factors may leave to inaccuracies in accessing future behaviors of individuals. Dynamic risk factors should be taken into higher account and more resources should be diverted towards addressing those factors.

Denis Yukhnenko studies with the Department of Psychiatry with the University of Oxford, and seeks to find information gaps in risk factors with recidivism. Nigel Blackwood is a Professor at King’s College, and focuses on the mental health of offenders. Seena Fazel is a Professor of Forensic Psychiatry at the University of Oxford, and looks at the relationship between mental health and crime.

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Keywords: 2019, international, Oxford, King's College, risk factors, recidivism, static risk factors, dynamic static factors, mental health, criminal history, community sentencing, race and ethnicity, employment, substance abuse, meta-analysis study, income