Background: Personality disorders (PDs) have been associated with both violent crimes and homicides in many studies. The proportion of PDs among prisoners reaches up to 80%. For male prisoners, the most common PD in the literature is antisocial PD. The aim of this study was to investigate the association between PDs and violent crimes/homicides of male prisoners in Greece.
Methods: A sample of 308 subjects was randomly selected from a population of 1300 male prisoners incarcerated in two Greek prisons, one urban and one rural. The presence of PDs was assessed using the Mini International Neuropsychiatric Interview (MINI) and the Personality Diagnostic Questionnaire-4 (PDQ-4). Using logistic regression models PD types and PD "Clusters" (independent variables) were associated with "violent/non-violent crimes" and "homicides/non homicides" (dependent variables).
Results: "Cluster A" PDs (Paranoid, Schizoid, and Schizotypal) were diagnosed in 16.2%, "Cluster B" (Antisocial, Borderline, Histrionic, Narcissistic) in 66.9% and "Cluster C" (Obsessive-Compulsive, Dependent, Avoidant) in 2.9% of the studied population. Violent crimes and homicides were found significantly associated with "Cluster A" PDs ( = 0.022, = 0.020). The odds ratio of committing violent crimes was 2.86 times higher for patients with "Cluster A" PDs than the ones without PDs. In addition, the odds ratio of committing homicides was 4.25 times higher for patients with "Cluster A" PDs. In separate analyses, the commitment of violent crimes as well as homicides, was significantly associated with Schizoid ( = 0.043, = 0.020) and Schizotypal PD ( = 0.017, = 0.030).
Conclusions: The majority of prisoners was found to suffer from a PD, mainly the Antisocial "Cluster B", but the commitment of violent crimes and homicides was significantly associated only with "Cluster A" PDs and specifically with Schizoid and Schizotypal PD.
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http://dx.doi.org/10.1186/s12991-018-0204-4 | DOI Listing |
J Community Psychol
January 2025
Department of Counseling and Applied Psychology, National Taichung University of Education, Taichung, Taiwan.
The COVID-19 pandemic has been one of the most significant public health events in human history. Domestic violence cases surged globally during the COVID-19 pandemic. In Taiwan, this trend was particularly evident, with a year-over-year increase in reported cases.
View Article and Find Full Text PDFFront Glob Womens Health
December 2024
Department of Epidemiology and Public Health, School of Life Science, Central University of Tamil Nadu, Thiruvarur, India.
Background: In low-income countries, women with disabilities face numerous challenges in accessing sexual and reproductive health services and experience high unintended pregnancy rates and adverse pregnancy outcomes, with 42% of cases ending in abortion. However, little is known about unintended pregnancy among women with disabilities in Ethiopia. Therefore, this study aimed to assess the prevalence of unintended pregnancy and associated factors among women with disabilities in the Central Regional State of Ethiopia.
View Article and Find Full Text PDFCureus
November 2024
Community Medicine, Sree Balaji Medical College and Hospital, Chennai, IND.
Comprehensive sexuality education (CSE) is curriculum-based teaching and learning of various dimensions of sexuality. By equipping young people with accurate information on sexual and reproductive health, CSE promotes healthier populations and fosters a more informed workforce, contributing positively to national economies. Although known to have many benefits, CSE is not universally accepted or implemented.
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Grady Health System, Atlanta, Georgia, USA.
BMC Health Serv Res
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Child Health and Diseases Department, Istanbul Education Research Hospital, Istanbul, Türkiye.
Background: This study investigates the relationship between healthcare professionals' intention to emigrate and their exposure to violence in Turkey, using a quantile regression model. Through this approach, it aims to reveal how healthcare professionals' attitudes toward brain drain vary across different levels of fear of violence, considering factors such as professional experience and income.
Methods: A cross-sectional study design was employed, utilizing a quantile regression model to analyze the variation in brain drain attitudes across different percentiles.
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