Premeditated  versus  “passionate”: patterns of homicide related to intimate partner violence

Carmichael, Heather; Jamison, Ethan C.; Bol, Kirk A.; McIntyre, R V; Velopulos, Catherine G.

doi:10.1016/j.jss.2018.04.050

Cited by 16 publications

(7 citation statements)

References 18 publications

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“…Of the 126 post-release homicides, 13.5% were related to IPV. Similar to prior research on IPH more broadly, the current study found that the majority of IPV-related homicides involved intimate partners, whereas a small handful involved corollary victims (Carmichael et al, 2018;Dobash & Dobash, 2012;Smith et al, 2014). Exploratory comparisons of IPV and non-IPV-related post-release homicides found that a greater proportion of IPV-related homicides were preceded by a physical altercation, occurred in the victim's home, used means other than firearms, followed an argument or conflict, and were precipitated by the alcohol use.…”

Section: Discussionsupporting

confidence: 84%

“…Intimate partner violence (IPV)–related deaths or intimate partner homicide (IPH) include homicide committed by a current or former intimate partner (Carcach & James, 1998), as well as homicide of victims outside the intimate relationship (Carmichael, Jamison, Bol, McIntyre, & Velopulos, 2018). These corollary victims can include children, family members, friends, neighbors, bystanders, and service professionals (e.g., Carmichael et al, 2018; Smith, Fowler, & Niolon, 2014). IPH has been conceptualized as the most severe IPV outcome (Garcia, Soria, & Hurwitz, 2007).…”

mentioning

confidence: 99%

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Characteristics and Factors Associated With Intimate Partner Violence–Related Homicide Post-Release From Jail or Prison

Rizo

Mennicke

Deinse

2019

J Interpers Violence

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Intimate partner violence (IPV) victimization and perpetration are common experiences among incarcerated people. Despite knowledge regarding the challenges of re-integrating post-release from jail or prison, including an increased risk of homicide victimization, there is a dearth of research focused on IPV-related homicides post-release from a correctional facility. To address this gap, the current study used 2003-2015 data from the National Violent Death Reporting System from 27 states to examine the characteristics and circumstances surrounding IPV-related homicides soon after the homicide victim was released from jail or prison. Of the 126 post-release homicides, 13.5% were related to IPV. Post-release homicides involving either a female victim or perpetrator were more likely to be IPV-related. In the case of many of the IPV-related homicides, there was evidence of prior IPV as well as potential bystanders (including formal and informal supports) who were aware of the risk for IPV escalation and possible lethality. Compared with non-IPV post-release homicides, those related to IPV were more likely to occur in the victim’s home, have been immediately preceded by a physical fight, and have occurred by means other than firearm. These findings highlight the importance of enhancing the capacity of correctional facilities and community-based services to assess for and respond to risk of IPV and IPV-related lethality for individuals leaving correctional institutions.

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Section: Discussionsupporting

confidence: 84%

mentioning

confidence: 99%

Characteristics and Factors Associated With Intimate Partner Violence–Related Homicide Post-Release From Jail or Prison

Rizo

Mennicke

Deinse

2019

J Interpers Violence

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“…In addition, Valdivia and Castro [36] maintain that violence against women follows specific dynamics that are different from the dynamics of violence against men. In the US state of Colorado, 12.9% of 2279 homicides were caused by intimate partner violence of which most of the victims were women [37].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Externalities of Income Inequality on Security in Latin America

et al. 2021

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The aim of this research is to analyse the effect of income inequality on the homicide rate. The study is carried out in 18 Latin American countries for the period 2005–2018. The methodology used is the Generalized Least Squares (GLS) model and the data were obtained from World Development Indicators, the World Health Organization and the Inter-American Development Bank. Thus, the dependent variable is the homicide rate and the independent variable is income inequality. In addition, some control variables are included, such as: poverty, urban population rate, unemployment, schooling rate, spending on security and GDP per capita, which improve the consistency of the model. The results obtained through GLS model determine that inequality has a negative and significant effect on the homicide rate for high-income countries (HIC) and lower-middle-income countries (LMIC), whereas it is positive and significant for upper-middle-income countries (UMIC). On the other hand, the control variables show different results by group of countries. In the case of unemployment, it is not significant in any group of countries. Negative spatial dependence was found regarding spatial models such as: the spatial lag (SAR) and spatial error (SEM) method. In the spatial Durbin model (SDM), positive spatial dependence between the variables was corroborated. However, spatial auto-regressive moving average (SARMA) identified no spatial dependence. Under these results it is proposed: to improve productivity, education and improve the efficiency of security-oriented resources.

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“…O uso de armas cortantes, objetos contundentes ou métodos que usam a força corporal pode representar um meio para agredir a vítima durante um conflito agudo, enquanto que a arma de fogo indica uma clara intenção de assassinar a vítima (premeditação). (34) No Peru, entre 2009 e 2014, observou-se que 40,9% dos homicídios de mulheres foram, sabidamente, premeditados. (27) Os serviços de saúde são locais em que, muitas vezes, as vítimas de violência buscam assistência.…”

Section: Discussionunclassified