In 2023, there were a total of 12,326 victims of domestic violence and intimate partner violence offenses in Finland. Most domestic violence victims were women, amounting to over 8,353 that year. By comparison, there were roughly 4,000 male victims the same year.

The study used quantitative methods to investigate the effects of victim gender, victim sexuality, and type of violence on victim blaming scores among social workers.This experiment employed a 2x2x2 factor independent-measures design as there were three independent variables, each with two levels: victim gender (male/female), victim sexuality (heterosexual/homosexual), and type of violence (psychological/physical). Participants were randomly allocated into one of the eight conditions.80 participants took part.

This statistic gives information on the number of male victims of homicide linked to the violence in the couple in France from 2012 to 2021. It appears that in 2021, ** men were killed by their partner.

Abstract Objective To evaluate the assistance provided to women victims of sexual violence and their participation in the follow-up treatment after the traumatic event, presenting a sociodemographic profile, gynecological background, and circumstances of the event, and reporting the results, acceptance, and side effects of prophylaxis for sexually transmitted infections (STIs) and pregnancy. Methods A retrospective cohort study comprising the period between 2007 and 2016. All women receiving medical care and clinical follow-up after a severe episode of sexual violence were included. Records of domestic violence, male victims, children, and adolescents who reported consensual sexual activity were excluded. The present study included descriptive statistics as frequencies and percentages. Results A total of 867medical records were reviewed and 444 cases of sexual violence were included. The age of the victims ranged from10 to 77 years old, most of them selfdeclared white, with between 4 and 8 years of education, and denying having a sexual partner. Sexual violence occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Most victims were assisted at the referral service center within 72 hours after the violence, enabling the recommended prophylaxis. There was high acceptance of antiretroviral therapy (ART), although half of the users reported side effects. Seroconversion to human immunodeficiency virus (HIV) or to hepatitis B virus (HBV) was not detected in women undergoing prophylaxis. Conclusion In the present cohort, the profile of victims of sexual violence was loweducated, young, white women. The traumatic event occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Assistance within the first 72 hours after sexual violence enables the healthcare center to provide prophylactic interventions against STIs and unwanted pregnancies.

ABSTRACT OBJECTIVE To evaluate the effect of the time and the sex of victims and perpetrators on the rates of family and community physical violence in a Brazilian municipality over seven years (2008–2014). METHODS We made a census analysis from non-fatal victims attended in the Forensic Institute of the Scientific Civil Police. The monthly and annual violence rates were calculated based on the population size of the municipality. Time series was evaluated by negative binomial regression models, based on the number of cases with population offset and considering the effect of the sex of victims and perpetrators. RESULTS A total of 3,324 cases of family and 4,634 cases of community violence were analyzed. There was a significant increase in family violence rates for female victims and male perpetrators. Family violence rates were always higher for female victims than for male and it was always lower for female perpetrators than for male (p < 0.001). There was a lower risk of community violence for male victims after 2013 and a decrease of aggression perpetrated by men over time. Men and women were similarly affected by community violence; however, the perpetrators were more frequently men. CONCLUSIONS The results indicate a trend of increasing female victims in the family violence, mainly perpetrated by men. The reduction in community violence rates could be the result of policies to reduce crime.

Domestic abuse numbers, prevalence, types and attitudes experienced by women and men aged between 16 and 59 years and 60 to 74 years, based upon annual findings from the Crime Survey for England and Wales.

As of the 2022/2023 fiscal year, common assault was the most frequently reported form of domestic violence-related crimes among men and women, with ****** and ****** cases, respectively. Assault with the intent to cause grievous bodily harm followed, whereby ****** women and ***** men were subjected to domestic violence. Domestic violence-related common assault accounted for around ** percent of the overall number of common assault reports in the same period.

This study focused on an evaluation of EVOLVE, a newly developed 26-week, 52-session skill building, culturally competent, psycho-educational curriculum-based intervention for male domestic violence offenders with female victims. The curriculum was implemented in three large urban courts that have specialized domestic violence court sessions, judicial monitoring, specialized court staff throughout the judicial process, enhanced advocacy for victims, a collaborative team approach to case processing, and collaboration with networks of involved community service providers. The comparison site (called Explore), also a large urban court, had some specialized court staff and enhanced victim advocacy, as well. It was selected as the comparison because of these court features, the use of a more traditional 26-week intervention (that met just once each week), its high volume, and the high rate of involvement of men of color, which was similar to rates found at the EVOLVE sites at the time the evaluation was proposed. The data file contains 545 cases and 872 variables.

In 1996 the Institute for Law and Justice (ILJ) began an evaluation of the law enforcement and prosecution components of the "STOP Violence Against Women" grant program authorized by the Violence Against Women Act of 1994. This data collection constitutes one component of the evaluation. The researchers chose to evaluate two specialized units and two multi-agency team projects in order to study the local impact of STOP on victim safety and offender accountability. The two specialized units reflected typical STOP funding, with money being used for the addition of one or two dedicated professionals in each community. The Dane County, Wisconsin, Sheriff's Office used STOP funds to support the salaries of two domestic violence detectives. This project was evaluated through surveys of domestic violence victims served by the Dane County Sheriff's Office (Part 1). In Stark County, Ohio, the Office of the Prosecutor used STOP funds to support the salary of a designated felony domestic violence prosecutor. The Stark County project was evaluated by tracking domestic violence cases filed with the prosecutor's office. The case tracking system included only cases involving intimate partner violence, with a male offender and female victim. All domestic violence felons from 1996 were tracked from arrest to disposition and sentence (Part 2). This pre-grant group of felons was compared with a sample of cases from 1999 (Part 3). In Hillsborough County, New Hampshire, a comprehensive evaluation strategy was used to assess the impact of the use of STOP funds on domestic violence cases. First, a sample of 1996 pre-grant and 1999 post-grant domestic violence cases was tracked from arrest to disposition for both regular domestic violence cases (Part 4) and also for dual arrest cases (Part 5). Second, a content analysis of police incident reports from pre- and post-grant periods was carried out to gauge any changes in report writing (Part 6). Finally, interviews were conducted with victims to document their experiences with the criminal justice system, and to better understand the factors that contribute to victim safety and well-being (Part 7). In Jackson County, Missouri, evaluation methods included reviews of prosecutor case files and tracking all sex crimes referred to the Jackson County Prosecutor's Office over both pre-grant and post-grant periods (Part 8). The evaluation also included personal interviews with female victims (Part 9). Variables in Part 1 (Dane County Victim Survey Data) describe the relationship of the victim and offender, injuries sustained, who called the police and when, how the police responded to the victim and the situation, how the detective contacted the victim, and services provided by the detective. Part 2 (1996 Stark County Case Tracking Data), Part 3 (1999 Stark County Case Tracking Data), Part 4 (Hillsborough County Regular Case Tracking Data), Part 5 (Hillsborough County Dual Arrest Case Tracking Data), and Part 8 (Jackson County Case Tracking Data) include variables on substance abuse by victim and offender, use of weapons, law enforcement response, primary arrest offense, whether children were present, injuries sustained, indictment charge, pre-sentence investigation, victim impact statement, arrest and trial dates, disposition, sentence, and court costs. Demographic variables include the age, sex, and ethnicity of the victim and the offender. Variables in Part 6 (Hillsborough County Police Report Data) provide information on whether there was an existing protective order, whether the victim was interviewed separately, severity of injuries, seizure of weapons, witnesses present, involvement of children, and demeanor of suspect and victim. In Part 7 (Hillsborough County Victim Interview Data) variables focus on whether victims had prior experience with the court, type of physical abuse experienced, injuries from abuse, support from relatives, friends, neighbors, doctor, religious community, or police, assistance from police, satisfaction with police response, expectations about case outcome, why the victim dropped the charges, contact with the prosecutor, criminal justice advocate, and judge, and the outcome of the case. Demographic variables include age, race, number of children, and occupation. Variables in Part 9 (Jackson County Victim Interview Data) relate to when victims were sexually assaulted, if

The graph shows the number of violent crime victims in the United States by gender from 2015 to 2025. The x-axis represents the years, while the y-axis indicates the number of male and female victims reported annually. Male victim counts range from a low of 181,851 in 2015 to a peak of 580,445 in 2023, while female victim counts range from 165,060 in 2015 to a high of 531,872 in 2023. Both genders show a consistent upward trend from 2015 to 2023, followed by a sharp drop in 2025. The data illustrates parallel trends for both male and female victims across the observed period.

The study examined (1) the scope and nature of firearm possession by Domestic Violence Protective Order (DVPO) defendants, (2) pre- and post-legislation experiences of firearm-related intimate partner violence (IPV) among women applying for Domestic Violence Protective Orders, (3) judges' behaviors specifying firearm-related conditions in DVPOs prior to and following the legislation, and (4) the proportion of and manner in which male DVPO defendants surrendered firearms subsequent to the enactment of the new legislation. Records were extracted for 952 adult women (age 18 and older) seeking relief from a male intimate partner by filing a civil action under North Carolina Statute Chapter 50B in Durham and Wake counties, North Carolina from February 1, 2003, to June 30, 2004, and from their male offenders. Researchers compiled data from three sources: (1) DVPO files, (2) Court Ordered Protection Evaluation (COPE) study, and (3) Criminal background checks. Variables from the DVPO files include demographic information about the plaintiff and defendant, the relationship between the plaintiff and defendant, number of children under 18 in common, incident prompting the DVPO motion, DVPO conditions requested by the plaintiff, ex parte conditions granted including firearm-related restrictions, details of DVPO hearing (e.g. date, presence of attorneys), disposition of the permanent DVPO, conditions of the DVPO, if granted, and the Civil District (CVD) number for that case. Variables from the COPE study include COPE interview information regarding the women's intimate partner violence (IPV) experiences prior to filing for the DVPO (including firearm-related IPV), whether the judge inquired about firearms during the ex parte or DVPO hearings, whether the defendant possessed firearm(s) and whether he surrendered them, women's IPV experiences post-ex parte (including firearm-related IPV), and the CVD number for that case. Variables from the criminal background check include applicable charges (assault on female, communicating threats, violation of DVPO, stalking, other domestic violence related charges, firearm charges, and concealed weapon charges), the associated offense dates, and the existence and scope of other types of charges (i.e. one or more than one additional charges), and the CVD number for that case.

The purpose of this study was to provide a definitive test of whether batterer programs and varying intensities of judicial monitoring reduce reoffending among domestic violence offenders. Study enrollment took place between July 23, 2002, through February 27, 2004. In Part 1, Batterer Program Experiment Data, convicted male domestic violence offenders from court parts AP10 (Pretrial Appearances) or TAP2 (Trials) of the Bronx Misdemeanor Domestic Violence Court were randomly assigned into one of four experimental conditions. The four conditions were batterer program plus monthly judicial monitoring (n = 102), batterer program plus graduated monitoring (n = 100), monthly monitoring only (n = 109), and graduated monitoring only (n = 109). Defendants assigned to a batterer program completed either the Domestic Violence Accountability Program (DVAP) run by Safe Horizon or the Men's Choices Program run by the Fordham Tremont Community Mental Health Center. The offenders were tracked for at least 12 months after sentencing, and for up to 18 months for most of the men, to determine whether they fulfilled the conditions of their sentence, were rearrested for domestic violence, or were reported by the victim to have engaged in new incidents of abuse. Using each offender's New York State criminal identification number, complete criminal record files, including prior criminal history and recidivism, were obtained from the New York State Division of Criminal Justice Services (DCJS). Victims were interviewed about new domestic incidents committed within one year of sentencing. In Part 2, Monitoring Experiment Data, a quasi-experimental study using propensity score matching compared recidivism outcomes between the randomized offenders in Part 1 and a control group of conditional discharge (CD) offenders convicted of identical offenses, but who, as a result of the normal sentencing process, received neither a batterer program nor any form of monitoring. The propensity score predicted the probability of inclusion in the randomized trial (Part 1) sample, based not on actual membership in that sample, but on the statistical probability of membership in it, as computed from the observed set of background characteristics. Each offender in the randomized trial was then matched to the offender in the CD only group with the nearest propensity score. Sometimes multiple offenders from the the initial trial were matched to the same CD only offender. Variables in both Part 1 and Part 2 of the data set include demographic variables for both the defendants and victims, defendant arrest history, current sentence, assignment to a batterer program, type of judicial monitoring, and victim reports of new incidents of violence after sentencing.

Domestic abuse numbers, prevalence, types and victim characteristics, based on trial domestic abuse questions on the Crime Survey for England and Wales. As of May 2025 estimates presented in these tables should now be treated as official statistics.

The ultimate purpose of the study was to test whether court-mandated counseling reduced the likelihood of repeat violence by men convicted of misdemeanor domestic violence. Researchers also tested the underlying theory arising from the reanalyses of the Minneapolis experiment (MINNEAPOLIS INTERVENTION PROJECT, 1986-1987 [ICPSR 9808]) and Spouse Assault Replication Programs (SARPs). This theory proposes that having a stake in conformity predicts when an intervention (whether an arrest or court-mandated treatment) will be effective in reducing the likelihood of subsequent violence. The study used a classical experimental design to test whether courts can effect change in men convicted of misdemeanor domestic violence by mandating them to participate in a spouse abuse abatement program (SAAP). All men convicted of misdemeanor domestic violence in Broward County, Florida, between May 1 and September 30, 1997, were randomly assigned to either an experimental or control group. The only exceptions were for those couples in which either defendant or victim did not speak English or Spanish; either defendant or victim was under 18 years of age; the defendant was severely mentally ill; or the judge, at the time of sentencing, allowed the defendant to move to another jurisdiction and serve his probation through mail contact. Of the remaining 404 defendants, men in the control group were sentenced to 1 year's probation and men in the experimental group were sentenced to 1 year's probation and mandated into one of the five local SAAPs. In an effort to determine the true amount of change in individuals undergoing court-mandated counseling, the researchers included various measures from several sources. Each batterer was interviewed at time of adjudication and again six months after adjudication. The victim was also interviewed at adjudication and 6 and 12 months after adjudication. Standardized measures with known reliability were used when possible. Probation records and computer checks with the local police for all new arrests were used to track the defendants for one year after adjudication. The defendant interviews asked questions to assess the defendant's stake in conformity including those dealing with his relationship to the victim, his employment, his residential stability and his relationship to others. Included in these interviews were questions from an abbreviated version of the Crowne-Marlowe Social Desirability Scale, the Shortened Attitudes Towards Women Scale, the Inventory of Beliefs About Wife Beating (IBWB), and the Revised Conflict Tactics Scale. The data file also includes questions dealing with offenders' perceptions of the fairness of the criminal justice process they had just been through, who they believed was responsible for the instant offense that brought them to court, and whether they felt coerced into the batterer's program. The victim interviews were similar to the defendants though most of the questions asked the victim to provide information about the offender and his relationship with her. The woman was also asked to provide information on her work history, who she regularly spent time with, whether she had spoken with family, friends, and neighbors about her relationship with the offender and, if she had, if they were critical of her or her partner's actions in the particular incident leading to this court case. Similar to the offender's interviews, victims were asked about the history of violence in their home of origin and the particular incident bringing the offender to court. The probation reports provided information on the offender's criminal history, behavior in the community for the year while under supervision, and compliance with the batterer program.

BackgroundLittle is known about the extent to which being a victim of domestic violence is associated with different mental disorders in men and women. We aimed to estimate the prevalence and odds of being a victim of domestic violence by diagnostic category and sex. MethodsStudy design: Systematic review and meta-analysis. Data Sources: Eighteen biomedical and social sciences databases (including MEDLINE, EMBASE, PsycINFO); journal hand searches; scrutiny of references and citation tracking of included articles; expert recommendations, and an update of a systematic review on victimisation and mental disorder. Inclusion criteria: observational and intervention studies reporting prevalence or odds of being a victim of domestic violence in men and women (aged ≥16 years), using validated diagnostic measures of mental disorder. Procedure: Data were extracted and study quality independently appraised by two reviewers. Analysis: Random effects meta-analyses were used to pool estimates of prevalence and odds. ResultsForty-one studies were included. There is a higher risk of experiencing adult lifetime partner violence among women with depressive disorders (OR 2.77 (95% CI 1.96–3.92), anxiety disorders (OR 4.08 (95% CI 2.39–6.97), and PTSD (OR 7.34 95% CI 4.50–11.98), compared to women without mental disorders. Insufficient data were available to calculate pooled odds for other mental disorders, family violence (i.e. violence perpetrated by a non-partner), or violence experienced by men. Individual studies reported increased odds for women and men for all diagnostic categories, including psychoses, with a higher prevalence reported for women. Few longitudinal studies were found so the direction of causality could not be investigated. ConclusionsThere is a high prevalence and increased likelihood of being a victim of domestic violence in men and women across all diagnostic categories, compared to people without disorders. Longitudinal studies are needed to identify pathways to being a victim of domestic violence to optimise healthcare responses.

This study examined the implementation of a specialized domestic violence unit within the San Diego County Sheriff's Department to determine whether the creation of the new unit would lead to increased and improved reporting, and more filings for prosecution. In order to evaluate the implementation of the specialized domestic violence unit, the researchers conducted the following tasks: (1) They surveyed field deputies to assess their level of knowledge about domestic violence laws and adherence to the countywide domestic violence protocol. (2) They studied a sample from the case tracking system that reported cases of domestic violence handled by the domestic violence unit to determine changes in procedures compared to an earlier case tracking study with no specialized unit. (3) They interviewed victims of domestic violence by phone to explore the responsiveness of the field deputies and the unit detectives to the needs of the victims. Part 1 (Deputy Survey Data) contains data on unit detectives' knowledge about the laws concerning domestic violence. Information includes whether or not the person considered the primary aggressor was the person who committed the first act of aggression, if a law enforcement officer could decide whether or not to complete a domestic violence supplemental report, whether an arrest should be made if there was reasonable cause to believe that a misdemeanor offense had been committed, and whether the decision to prosecute a suspect lay within the discretion of the district or city attorney. Demographic variables include deputy's years of education and law enforcement experience. Part 2 (Case Tracking Data) includes demographic variables such as race and sex of the victim and the suspect, and the relationship between the victim and the suspect. Other information was collected on whether the victim and the suspect used alcohol and drugs prior to or during the incident, if the victim was pregnant, if children were present during the incident, highest charge on the incident report, if the reporting call was made at the same place the incident occurred, suspect actions described on the report, if a gun, knife, physical force, or verbal abuse was used in the incident, if the victim or the suspect was injured, and if medical treatment was provided to the victim. Data were also gathered on whether the suspect was arrested or booked, how the investigating officer decided whether to request that the prosecutor file charges, type of evidence collected, if a victim or witness statement was collected, if the victim had a restraining order, prior history of domestic violence, if the victim was provided with information on domestic violence law, hotline, shelter, transportation, and medical treatment, highest arrest charge, number of arrests for any drug charges, weapon charges, domestic violence charges, or other charges, case disposition, number of convictions for the charges, and number of prior arrests and convictions. Part 3 (Victim Survey Data) includes demographic variables such as victim's gender and race. Other variables include how much time the deputy spent at the scene when s/he responded to the call, number of deputies the victim interacted with at the scene, number of deputies at the scene that were male or female, if the victim used any of the information the deputy provided, if the victim used referral information for counseling, legal, shelter, and other services, how helpful the victim found the information, and the victim's rating of the performance of the deputy.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The purpose of the study was to determine the effects of intensive judicial monitoring on offender compliance with court orders and perpetration of future violence. Offenders were processed in either of two specialized domestic violence courts based in Rochester, New York between October 2006 and December 2009. Study-eligible defendants had to be either (1) convicted and sentenced to a conditional discharge or probation or (2) disposed with an adjournment in contemplation of dismissal. Eligible defendants also had to be ordered to participate in a program (e.g., batterer program, substance abuse treatment). Once an eligible plea/disposition was entered, court staff randomly assigned defendants to either Group 1 (monitoring plus program, n = 77) or Group 2 (program only/no monitoring, n = 70). All of the offenders included in the sample were male. Offender interviews (n = 39) were completed between March 2008 and July 2010. The research intern present in court for compliance calendars approached offenders assigned to one of the two study groups to ask them to participate in the research interview on their last court appearance on the instant case (i.e., at successful dismissal from on-going monitoring or at re-sentencing). Victim interviews (n = 10) were conducted six months and one year post-offender disposition. Victims were contacted by staff from Alternatives for Battered Women (ABW), a local victim advocacy agency that was already in contact with many of the women coming through the domestic violence court.

IntroductionDomestic violence and abuse (DVA) are prevalent among persons with severe mental illness (SMI), being involved as victim, perpetrator, or both.AimsTo assess rates of DVA victimization and perpetration in patients with SMI. We also aimed to assess whether DVA victimization was associated with DVA perpetration, and whether this was mediated by dispositional anger in patients with SMI. Lastly, we aimed to examine whether gender moderated the associations between DVA victimization and perpetration.MethodsWe conducted a nation-wide survey on victimization in patients with SMI. In 942 patients DVA perpetration of physical assault and victimization of physical assault, sexual coercion or psychological aggression over the past year were assessed using the revised Conflict Tactics Scale. Anger was assessed using the dispositional anger reactions scale. Correlation and mediation analyses were conducted, followed by a moderated mediation to assess whether effects of anger differed between men and women.ResultsThe prevalence rate of perpetration of physical assault was 22%, for victimization 27% and 52% for both. We found a strong positive correlation between perpetrated physical assault and victimization of mild physical assault and between both the perpetration and victimization of severe physical assault. Anger mediated the link between being a victim of psychological aggression and being a perpetrator of DVA. Women were more likely to perpetrate violence if they were victims of mild physical assault compared to men. Other moderation effects by gender were not observed.Conclusion and implicationsThis study reveals persistent high DVA rates among patients with SMI. Overall, anger had no mediating effect on the association between victimization and perpetration of violence, except for psychological aggression and perpetration of DVA. This study emphasizes the importance of routine violence discussions in SMI care while taking context into account. However, further research on underlying mechanisms and interventions to improve discussions and care for victims and/or perpetrators of DVA is necessary.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Criminal protection orders are a critical tool to enhance the safety and protection of victims of domestic violence (DV). However, limited research exists to elucidate the process and outcomes of these orders. The purposes of the study were to (a) elucidate the process of criminal orders as a critical strategy to reduce domestic violence, (b) increase knowledge about how criminal orders influence the daily lives of women, and children, and how they are associated with offender behavior, (c) disseminate findings to practitioners, policy makers, and academics to inform practice, policy, and future research; and (d) document in detail the relevant accounts of the collaboration to inform best practices for collaborations that lead to better policy, practice, and research. The sample is comprised of 298 female victims of DV by a male, intimate partner. Participants were recruited from two geographical area courthouses in an urban and a suburban New England community. Information was collected in personal interviews and augmented with information from court records. Separate data files contain information about housing events as well as substance use. Qualitative data collected as part of this study are not included in this fast track release. The collection contains 3 SPSS data files, NIJ-PO-Full-Dataset.sav (n=298; 1299 variables), NIJ-PO-Housing-TLFB-Dataset.sav (n=577; 29 variables) and NIJ-PO-Substance-Use-Dataset.sav (n=8940; 24 variables) and 1 Excel data file Living-Together-Data.xlsx (n=298; 3 variables). The collection also contains transcripts of qualitative interviews with 294 of the 298 respondents, which are not included in this release.

This study used an experimental clinical trial to test the effectiveness of culturally-focused batterer counseling against conventional cognitive-behavioral counseling in African American men. A total of 503 men, including all African American men mandated by the domestic violence court in Pittsburgh, Pennsylvania, to batterer counseling between November 2001 and May 2004, were randomly assigned to one of three counseling options: culturally-focused counseling in an all African American group, conventional counseling in an all African American group, or conventional counseling in a racially mixed group. All three counseling options required a minimum of 16 weekly group sessions. At program intake, the men completed a background questionnaire, the Short Michigan Alcoholism Screening Test (SMAST) and the Racial Identity Scale (RAIS), contained in Part 1, Men's Intake Questionnaire Data. The men later completed a survey of past experiences of violence, contained in Part 2, Men's Past Violence Survey Data. The men were interviewed once at five months after program intake about their impressions of and ratings of the counseling. Results of those interviews are in Part 3, Men's Five-Month Follow-up Data. A female partner was interviewed for 399 of the male subjects at program intake. Their responses are contained in Part 4, Women's Background Data. Female partners (both initial victims and new partners) were interviewed at 3, 6, 9, and 12 months after the initial interview at the time of the men's program intake (Parts 5-8). The follow-up interviews asked about the women's relationship status, abusive behavior and its circumstances, help seeking, and additional intervention.