Homicidal Physical Violence: An Exploratory Analysis of Relevant Cognitive, Demographic, and Criminological Factors in a Sample of Murderers

2020 ◽  
pp. 108876792093516
Author(s):  
Callie Mazurek ◽  
Michael Brook ◽  
Mary Kwasny ◽  
Robert E. Hanlon

Homicide injury severity (HIS), the degree of physical injury inflicted on a victim during a homicide, has emerged as a relevant criminological variable. However, little is known regarding the offender characteristics and criminological variables that may be associated with greater HIS. Data (demographic, cognitive, and criminological variables) from forensic neuropsychological evaluations of N = 101 offenders convicted of murder, were explored in relation to the Homicide Injury Scale. Numerous factors were related to HIS. Results partially replicate prior findings of factors associated with violent offending and provide preliminary evidence for distinct risk factors for inflicting severe injury during a homicide.

2021 ◽  
pp. 105477382110504
Author(s):  
Jeong Eun Yoon ◽  
Ok-Hee Cho

Pressure injuries (PIs) are one of the most important and frequent complications in patients admitted to the intensive care unit (ICU) or those with traumatic brain injury (TBI). The purpose of this study was to determine the incidence and risk factors of PIs in patients with TBI admitted to the ICU. In this retrospective study, the medical records of 237 patients with TBI admitted to the trauma ICU of a university hospital were examined. Demographic, trauma-related, and treatment-related characteristics of all the patients were evaluated from their records. The incidence of PIs was 13.9%, while the main risk factors were a higher injury severity score, use of mechanical ventilation, vasopressor infusion, lower Braden Scale score, fever, and period of enteral feeding. This study advances the nursing practice in the ICU by predicting the development of PIs and their characteristics in patients with TBI.


2019 ◽  
Vol 43 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Venkata R. Duddu ◽  
Venu Madhav Kukkapalli ◽  
Srinivas S. Pulugurtha

2015 ◽  
Vol 7 (1) ◽  
pp. 2-18 ◽  
Author(s):  
Sarah Baxendale ◽  
Leanne Lester ◽  
Robyn Johnston ◽  
Donna Cross

Purpose – The purpose of this paper is to examine risk factors associated with Western Australian secondary school students’ involvement in violence-related behaviours. Design/methodology/approach – This cross-sectional study examined data collected using an anonymous self-completion questionnaire from 542 school students aged 13-17 years. The questionnaire measured risk factors associated with being a perpetrator and/or victim of violence-related behaviours. Findings – Gender was significantly associated with being a victim and perpetrator of violence-related behaviours. Males were significantly more likely than females to be a victim of threatening and physical violence at school, and to be a perpetrator of physical violence at school and in the community. Males were significantly more likely than females to watch violent media, with exposure to violent media associated with physically hurting someone at school. Students involved in greater acts of animal cruelty had increased odds of being involved in all forms of the violence measured. Research limitations/implications – Limitations such as the cross-sectional nature of the study and the small sample size are noted, along with suggestions for future research. Practical implications – Implications of the research for practitioners working with adolescents, with a particular focus on the school setting, are discussed. Originality/value – Most previously published research on adolescent involvement in violence has been conducted outside Australia, and as such, may not be directly applicable to the experiences of young people in Western Australia.


Author(s):  
Ali J. Ghandour ◽  
Huda Hammoud ◽  
Samar Al-Hajj

Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning classifier structured from sequential minimal optimization and decision trees to identify risk factors contributing to fatal road injuries. The model was constructed, trained, tested, and validated using the Lebanese Road Accidents Platform (LRAP) database of 8482 road crash incidents, with fatality occurrence as the outcome variable. A sensitivity analysis was conducted to examine the influence of multiple factors on fatality occurrence. Seven out of the nine selected independent variables were significantly associated with fatality occurrence, namely, crash type, injury severity, spatial cluster-ID, and crash time (hour). Evidence gained from the model data analysis will be adopted by policymakers and key stakeholders to gain insights into major contributing factors associated with fatal road crashes and to translate knowledge into safety programs and enhanced road policies.


Author(s):  
Michelle N. Harris ◽  
Leah E. Daigle

Given the focus on research assessing violence among people with mental illness, other forms of deviance such as illegal street market offending have been relatively ignored. As such, the prevalence and risk factors for illegal street market offending among those with mental disorders is unknown. Utilizing the MacArthur Risk Assessment Study, the prevalence of illegal street market offending among this population is assessed along with the risk factors for engaging in this type of behavior. These factors are investigated for their generality in predicting violent offending to see if there are unique risk factors associated with illegal street market offending. Results indicate that factors related to money, factors related to substance usage, and general factors related to offending are significantly associated with illegal street market offending. Theoretical implications and future research are discussed.


2018 ◽  
Vol 51 (1) ◽  
pp. 257-260
Author(s):  
María Teresa Tejedor-Junco ◽  
Margarita González-Martín ◽  
Juan Alberto Corbera ◽  
Ángelo Santana ◽  
Carmen Nieves Hernández ◽  
...  

2019 ◽  
Vol 11 (19) ◽  
pp. 5194 ◽  
Author(s):  
Natalia Casado-Sanz ◽  
Begoña Guirao ◽  
Antonio Lara Galera ◽  
Maria Attard

According to the Spanish General Traffic Accident Directorate, in 2017 a total of 351 pedestrians were killed, and 14,322 pedestrians were injured in motor vehicle crashes in Spain. However, very few studies have been conducted in order to analyse the main factors that contribute to pedestrian injury severity. This study analyses the accidents that involve a single vehicle and a single pedestrian on Spanish crosstown roads from 2006 to 2016 (1535 crashes). The factors that explain these accidents include infractions committed by the pedestrian and the driver, crash profiles, and infrastructure characteristics. As a preliminary tool for the segmentation of 1535 pedestrian crashes, a k-means cluster analysis was applied. In addition, multinomial logit (MNL) models were used for analysing crash data, where possible outcomes were fatalities and severe and minor injured pedestrians. According to the results of these models, the risk factors associated with pedestrian injury severity are as follows: visibility restricted by weather conditions or glare, infractions committed by the pedestrian (such as not using crossings, crossing unlawfully, or walking on the road), infractions committed by the driver (such as distracted driving and not respecting a light or a crossing), and finally, speed infractions committed by drivers (such as inadequate speed). This study proposes the specific safety countermeasures that in turn will improve overall road safety in this particular type of road.


2016 ◽  
Vol 34 (17) ◽  
pp. 3711-3736 ◽  
Author(s):  
Inge Jeandarme ◽  
Ciska Wittouck ◽  
Freya Vander Laenen ◽  
Claudia Pouls ◽  
T. I. Oei ◽  
...  

Violence is a common phenomenon both in regular and forensic psychiatric settings, and has a profound impact on staff and other patients. Insight into the individual risk factors associated with violence in forensic psychiatric settings is rare and is therefore the subject of this research. A retrospective file study in three medium security units in Flanders was conducted to compare non-violent inpatients with inpatients who engaged in (verbal and physical) violent behavior. Binary logistic regression analyses were used to examine which variables contributed independently to the risk of violence. The results showed that absconding during treatment was independently associated with physical violence. A personality disorder diagnosis and general non-compliance with treatment were associated with verbal violence. Both types of violence predicted early termination of treatment. Contrary to previous research, the results from the risk assessment tools were not associated with inpatient violence. Clinical implications are discussed and include, among others, that clinicians should remain vigilant for early warning signs of non-compliance during treatment.


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