Intimate Partner Violence

2019 ◽  
Author(s):  
Jane S. Sillman
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Elder Abuse ◽  
Violent Behavior ◽  
Intimate Partner ◽  
Violence Risk ◽  
Gay Couples

Intimate-partner violence describes relationships characterized by intentional controlling or violent behavior by someone who is in an intimate relationship with the victim. The abuser’s controlling behavior may take many forms, including psychological abuse, physical abuse, sexual abuse, economic control, and social isolation. Abuse may ultimately lead to the death of the victim from homicide or suicide. Typically, an abusive relationship goes through cycles of violence. There are periods of calm, followed by increasing tension in the abuser, outbursts of violence, and return to periods of calm. These cycles often spiral toward increasing violence over time. The victims of intimate-partner violence are usually women, but intimate-partner violence is also a significant problem for gay couples and for the disabled and elderly of both sexes. This review discusses the epidemiology, diagnosis, treatment, outcomes, and prevention of intimate-partner violence. Risk factors for experiencing violence, risk factors for perpetrating violence, and consequences of abuse are also analyzed. This review contains 5 figures, 14 tables, and 30 references. Keywords: Domestic abuse, intimate-partner violence, elder abuse, child abuse, batterer, sexual abuse, physical abuse

Intimate Partner Violence

2019 ◽  
Author(s):  
Jane S. Sillman
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Elder Abuse ◽  
Violent Behavior ◽  
Intimate Partner ◽  
Violence Risk ◽  
Gay Couples

Intimate-partner violence describes relationships characterized by intentional controlling or violent behavior by someone who is in an intimate relationship with the victim. The abuser’s controlling behavior may take many forms, including psychological abuse, physical abuse, sexual abuse, economic control, and social isolation. Abuse may ultimately lead to the death of the victim from homicide or suicide. Typically, an abusive relationship goes through cycles of violence. There are periods of calm, followed by increasing tension in the abuser, outbursts of violence, and return to periods of calm. These cycles often spiral toward increasing violence over time. The victims of intimate-partner violence are usually women, but intimate-partner violence is also a significant problem for gay couples and for the disabled and elderly of both sexes. This review discusses the epidemiology, diagnosis, treatment, outcomes, and prevention of intimate-partner violence. Risk factors for experiencing violence, risk factors for perpetrating violence, and consequences of abuse are also analyzed. This review contains 5 figures, 14 tables, and 30 references. Keywords: Domestic abuse, intimate-partner violence, elder abuse, child abuse, batterer, sexual abuse, physical abuse

Intimate Partner Violence

2019 ◽  
Author(s):  
Jane S. Sillman
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Elder Abuse ◽  
Violent Behavior ◽  
Intimate Partner ◽  
Violence Risk ◽  
Gay Couples

Intimate-partner violence describes relationships characterized by intentional controlling or violent behavior by someone who is in an intimate relationship with the victim. The abuser’s controlling behavior may take many forms, including psychological abuse, physical abuse, sexual abuse, economic control, and social isolation. Abuse may ultimately lead to the death of the victim from homicide or suicide. Typically, an abusive relationship goes through cycles of violence. There are periods of calm, followed by increasing tension in the abuser, outbursts of violence, and return to periods of calm. These cycles often spiral toward increasing violence over time. The victims of intimate-partner violence are usually women, but intimate-partner violence is also a significant problem for gay couples and for the disabled and elderly of both sexes. This review discusses the epidemiology, diagnosis, treatment, outcomes, and prevention of intimate-partner violence. Risk factors for experiencing violence, risk factors for perpetrating violence, and consequences of abuse are also analyzed. This review contains 5 figures, 14 tables, and 30 references. Keywords: Domestic abuse, intimate-partner violence, elder abuse, child abuse, batterer, sexual abuse, physical abuse

Intimate Partner Violence

2019 ◽  
Author(s):  
Jane S. Sillman
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Elder Abuse ◽  
Violent Behavior ◽  
Intimate Partner ◽  
Violence Risk ◽  
Gay Couples

Intimate-partner violence describes relationships characterized by intentional controlling or violent behavior by someone who is in an intimate relationship with the victim. The abuser’s controlling behavior may take many forms, including psychological abuse, physical abuse, sexual abuse, economic control, and social isolation. Abuse may ultimately lead to the death of the victim from homicide or suicide. Typically, an abusive relationship goes through cycles of violence. There are periods of calm, followed by increasing tension in the abuser, outbursts of violence, and return to periods of calm. These cycles often spiral toward increasing violence over time. The victims of intimate-partner violence are usually women, but intimate-partner violence is also a significant problem for gay couples and for the disabled and elderly of both sexes. This review discusses the epidemiology, diagnosis, treatment, outcomes, and prevention of intimate-partner violence. Risk factors for experiencing violence, risk factors for perpetrating violence, and consequences of abuse are also analyzed. This review contains 5 figures, 14 tables, and 30 references. Keywords: Domestic abuse, intimate-partner violence, elder abuse, child abuse, batterer, sexual abuse, physical abuse

scholarly journals Pregnancy and Intimate Partner Violence: Risk Factors, Severity, and Health Effects

2011 ◽  
Vol 17 (7) ◽  
pp. 858-881 ◽  
Author(s):  
Douglas A. Brownridge ◽  
Tamara L. Taillieu ◽  
Kimberly A. Tyler ◽  
Agnes Tiwari ◽  
Ko Ling Chan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intimate Partner Violence ◽  
Health Effects ◽  
Partner Violence ◽  
Intimate Partner ◽  
Violence Risk

scholarly journals Identification of Intimate Partner Violence from Free Text Descriptions in Social Media

2021 ◽  
Author(s):  
Phan Trinh Ha ◽  
Rhea D'Silva ◽  
Ethan Chen ◽  
Mehmet Koyuturk ◽  
Gunnur Karakurt
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Emotional Abuse ◽  
Intimate Partner ◽  
Machine Learning Algorithms ◽  
Free Text

Intimate Partner Violence (IPV) is a significant public health problem that adversely affects the well-being of victims. IPV is often under-reported and non-physical forms of violence may not be recognized as IPV, even by victims. With the increasing popularity of social media and due to the anonymity provided by some of these platforms, people feel comfortable sharing descriptions of their relationship problems in social media. The content generated in these platforms can be useful in identifying IPV and characterizing the prevalence, causes, consequences, and correlates of IPV in broad populations. However, these descriptions are in the form of free text and no corpus of labeled data is available to perform large-scale computational and statistical analyses. Here, we use data from established questionnaires that are used to collect self-report data on IPV to train machine learning models to predict IPV from free text. Using Universal Sentence Encoder (USE) along with multiple machine learning algorithms (Random Forest, SVM, Logistic Regression, Naive Bayes), we develop DETECTIPV, a tool for detecting IPV in free text. Using DETECTIPV, we comprehensively characterize the predictability of different types of violence (Physical Abuse, Emotional Abuse, Sexual Abuse) from free text. Our results show that a general model that is trained using examples of all violence types can identify IPV from free text with area under the ROC curve (AUROC) 89%. We also train type-specific models and observe that Physical Abuse can be identified with greatest accuracy (AUROC 98%), while Sexual Abuse can be identified with high precision but relatively low recall. While our results indicate that the prediction of Emotional Abuse is the most challenging, DETECTIPV can identify Emotional Abuse with AUROC above 80%. These results establish DETECTIPV as a tool that can be used to reliably detect IPV in the context of various applications, ranging from flagging social media posts to detecting IPV in large text corpuses for research purposes. DETECTIPV is available as a web service at https://ipvlab.case.edu/ipvdetect/.

scholarly journals Sexual and physical intimate partner violence among women using antenatal care in Nampula, Mozambique

2018 ◽  
Author(s):  
Eusébio Chaquisse ◽  
Sílvia Fraga ◽  
Paula Meireles ◽  
Glória Macassa ◽  
Joaquim Soares ◽  
...  
Keyword(s):  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Antenatal Care ◽  
Physical Abuse ◽  
Alcohol Drinking ◽  
Partner Violence ◽  
Cross Sectional Study ◽  
Intimate Partner ◽  
Cross Sectional ◽  
Physical Intimate Partner Violence

The aim was to estimate the prevalence of sexual and physical intimate partner violence (IPV) and its associated factors, in a sample of pregnant women using antenatal care (ANC) in Nampula province - Mozambique. This cross-sectional study was carried out in six health units in Nampula, from February 2013 to January 2014. Overall, 869 participants answered the Conflict Tactics Scale 2. The lifetime and past year prevalence of sexual abuse was 49% and 46%, and of physical abuse was 46% and 44%, respectively. Lifetime and past year sexual abuse was significantly associated with living as a couple, alcohol drinking and having a past diagnosis of gonorrhea. Lifetime and past year physical abuse increased significantly with age and was associated with living as a couple, alcohol drinking and history with syphilis. The prevalence of lifetime and previous year violence among women using ANC was high and similar showing that most women were constantly exposed to IPV. ANC provides a window of opportunity for identifying and acting on violence against women.

Intimate Partner Violence and Associated Risk Factors Among Youth in the Slums of Kampala

2019 ◽  
pp. 088626051988992 ◽  
Author(s):  
Rachel Culbreth ◽  
Monica H. Swahn ◽  
Laura F. Salazar ◽  
Rogers Kasirye ◽  
Tina Musuya
Keyword(s):  
Risk Factors ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Youth Development ◽  
Partner Violence ◽  
Problem Drinking ◽  
Multivariable Analysis ◽  
Intimate Partner ◽  
Factors Associated ◽  
Ipv Perpetration

The purpose of this study is to examine the factors associated with intimate partner violence (IPV) among youth living in the slums of Kampala. This analysis is based on a cross-sectional study of youth living in the slums of Kampala conducted in spring 2014 ( N = 1,134). The participants (12–18 years of age) were attending Uganda Youth Development Link centers, which serve youth living on the streets and slums of Kampala. Bivariate and multivariable multinomial analyses were conducted to examine risk factors associated with IPV victimization only, IPV perpetration only, and both IPV victimization and perpetration compared with no IPV victimization or perpetration. Among youth who reported having a boyfriend or girlfriend ( n = 600), 18.3% ( n = 110) reported experiencing both IPV victimization and perpetration, 11.0% ( n = 66) reported IPV perpetration only, 7.7% ( n = 46) reported experiencing IPV victimization only, and 63.0% ( n = 378) reported no IPV experiences. In the multivariable analysis, IPV victimization only was associated with witnessing parental IPV (odds ratio [OR] = 2.78; 95% confidence interval [CI] = [1.42, 5.48]), experiencing parental physical abuse (OR = 2.27; 95% CI = [1.16, 4.46]), and neighborhood cohesiveness (OR = 0.73; 95% CI = [0.31, 1.69]). IPV perpetration was only associated with experiencing parental physical abuse (OR = 2.86; 95% CI = [1.62, 5.07]). Reporting both IPV victimization and perpetration was associated with non-problem drinking (OR = 2.03; 95% CI = [1.15, 3.57]), problem drinking (OR = 2.65; 95% CI = [1.48, 4.74]), witnessing parental IPV (OR = 2.94; 95% CI = [1.80, 4.80]), experiencing parental physical abuse (OR = 2.23; 95% CI = [1.38, 3.60]), and homelessness (OR = 1.90; 95% CI = [1.14, 3.16]). Levels of IPV victimization and perpetration are very high in this population and warrant urgent attention.

The Association Between Demographic, Mental Health, and Intimate Partner Violence Victimization Variables and Undergraduate Women’s Intimate Partner Violence Perpetration

2020 ◽  
pp. 088626052090735
Author(s):  
Samantha C. Holmes ◽  
Nicole L. Johnson ◽  
Caron Zlotnick ◽  
Tami P. Sullivan ◽  
Dawn M. Johnson
Keyword(s):  
Mental Health ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Intimate Partner ◽  
Hierarchical Regression ◽  
Undergraduate Women ◽  
Wide Range ◽  
Ipv Perpetration

Addressing women’s intimate partner violence (IPV) perpetration is essential not only to their partners’ safety but also to their own as, for women who are victims of IPV, their IPV perpetration may be a risk factor for their own revictimization. Although many studies have examined risk factors for women’s IPV perpetration, results diverge with regard to whether demographic and mental health variables are reliable predictors. Results of several studies have demonstrated that when IPV victimization is examined concurrently with perpetration, demographic and mental health variables are no longer significant correlates. However, this research has been limited in that the type of IPV examined has been restricted to physical, psychological, and sexual abuse. In addition, some demographic variables (e.g., sexual orientation) have yet to be adequately examined. The current study extends this literature by concurrently assessing demographic, mental health, and IPV victimization variables as correlates of IPV perpetration among undergraduate women. Furthermore, the current study examined a wide range of IPV types (i.e., threats of physical abuse, physical abuse, sexual abuse, psychological maltreatment, stalking, cyberstalking). Among a final sample of 398 undergraduate women at a Midwestern public university, results demonstrated that while all variables (i.e., demographic, mental health, IPV victimization) were correlated with at least one type of IPV perpetration, only IPV victimization remained a unique significant correlate of perpetration for each of the six IPV perpetration types when variables were analyzed concurrently in hierarchical regression models. Demographic and mental health variables were nonsignificant correlates for most IPV perpetration types. These results corroborate previous studies and provide additional evidence that targeting women’s own victimization, safety planning, and de-escalation may be useful at decreasing violence against women’s partners as well as women’s own risk for revictimization.

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