Which sociodemographic and clinical characteristics are associated with recurrent incarcerations in adult male people who are incarcerated? A cross-sectional study-Reference-Cited by-同舟云学术

Which sociodemographic and clinical characteristics are associated with recurrent incarcerations in adult male people who are incarcerated? A cross-sectional study

Published:2024-01-08 Issue: Volume: Page:1-24
ISSN:1478-9949
Container-title:The Journal of Forensic Psychiatry & Psychology
language:en
Short-container-title:The Journal of Forensic Psychiatry & Psychology

Author:

Capuzzi Enrico¹,Caldiroli Alice¹,Auxilia Anna Maria²,Capellazzi Martina²,Tagliabue Ilaria²,Manzoni Arianna²,Cova Francesca¹,Di Brita Carmen¹,Surace Teresa¹,Bilardo Stefania¹,Rubelli Paola¹,Truisi Emanuele¹,Di Valentin Matteo²,Buoli Massimiliano³⁴,Clerici Massimo¹²

Affiliation:

1. Department of Mental Health, Fondazione IRCCS San Gerardo dei Tintori, Monza, MB, Italy

2. School of Medicine and Surgery, University of Milano Bicocca, Monza, MB, Italy

3. Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico, Milan, Italy

4. Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy

Funder

received no external

Publisher

Informa UK Limited

Subject

Psychiatry and Mental health,Clinical Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/14789949.2024.2302433

Reference90 articles.

1. Effect of Marriage and Spousal Criminality on Recidivism

2. The psychology of criminal conduct (fifth edition) Edited by D. A. Andrews and J. Bonta

3. Annual Report. (2022) Central directorate for antidrug services (downloadable from https://antidroga.interno.gov.it/wp-content/uploads/2022/07/Annual-Report-2022.pdf)

4. Antigone Report: incarcerations in Italian Prisons On The Rise (2022) (available on https://www.rapportoantigone.it/diciottesimo-rapporto-sulle-condizioni-di-detenzione)

5. The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputation