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BACKGROUND: Missing and Murdered Indigenous People is a historic and contemporary issue that has gained national attention. In 2021, homicide was the eighth leading cause of death among American Indian/Alaska Native (AIAN) persons aged between 1 and 54 years old, and homicide is the sixth leading cause of death among all AIAN males aged 1-54 years old. AIM: These data will build knowledge around AIAN homicides and to identify circumstances that can aid in comprehensive Missing and Murdered Indigenous People prevention efforts. METHODS: AIAN homicide data came from Centers for Disease Control and Prevention's National Violent Death Reporting System, a state/jurisdiction-based surveillance system that collects detailed information about characteristics and circumstances of violent deaths. We examined data from 2003 to 2020 (all available years) from participating states/jurisdictions. We also assessed sociodemographic characteristics of victims and suspects, incident characteristics and differences across dichotomised urban/rural status. The study was conducted in 2022. RESULTS: The National Violent Death Reporting System provided data on 2959 AIAN homicides from 2003 to 2020 (54.2% urban and 45.8% rural). Significant differences based on the two locations included type of weapon used, the location of the injury, race of the primary suspect, the victim's relationship to the suspect and select circumstances precipitating the homicide including crimes precipitating the homicide and homicides stemming from intimate partner violence. OUTCOMES: These findings provide crucial information to strengthen public health efforts for prevention.
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INTRODUCTION: Data on the long-term and comprehensive cost of violence are essential for informed decision making regarding the future benefits of resources directed toward violence prevention. This review aimed to summarize original per-person estimates of the attributable cost of interpersonal violence to support public health economic research and decision making. METHODS: In 2023, English-language peer-reviewed journal articles published in 2000-2022 with a focus on high-income countries reporting original per-person average cost of violence estimates were identified using index terms in multiple databases. Study contents, including violence type (e.g., adverse childhood experiences), timeline and payer cost perspective (e.g., hospitalization event-only healthcare payer cost), and associated per-person cost estimates, were summarized. Costs were in 2022 U.S. dollars. RESULTS: Per-person cost estimates related to adverse childhood experiences, community violence, sexual violence, intimate partner violence, homicide, firearm violence, youth violence, workplace violence, and bullying from 73 studies (majority focusing on the U.S.) were summarized. For example, among 23 studies with a focus on adverse childhood experiences, monetary estimates ranged from $390 for adverse childhood experience-related annual healthcare out-of-pocket costs per U.S. adult with ≥3 adverse childhood experiences to $20.2 million for the lifetime societal economic burden of a U.S. child maltreatment fatality. CONCLUSIONS: This review provides a descriptive summary of available per-person cost of violence estimates. Results can help public health professionals to describe the economic burden of violence, identify the best available estimate for a particular public health question, and address data gaps. Ultimately, understanding the long-term and comprehensive cost of violence is necessary to anticipate the economic benefits of prevention.
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Intimate Partner Violence , Sex Offenses , Adult , Child , Adolescent , Humans , Violence/prevention & control , Homicide , Public HealthABSTRACT
Introduction: There is limited recent information regarding the impact of interpersonal violence on an individual's non-health-related experiences and attainment, including criminal activity, education, employment, family status, housing, income, quality of life, or wealth. This study aimed to identify publicly available representative data sources to measure the socioeconomic impact of experiencing interpersonal violence in the U.S. Methods: In 2022, the authors reviewed data sources indexed in Data.gov, the Inter-university Consortium for Political and Social Research data archive, and the U.S. Census Bureau's Federal Statistical Research Data Center network to identify sources that reported both nonfatal violence exposure and socioeconomic status-or data sources linking opportunities to achieve both measures-over time (i.e., longitudinal/repeated cross-sections) at the individual level. Relevant data sources were characterized in terms of data type (e.g., survey), violence measure type (e.g., intimate partner violence), socioeconomic measure type (e.g., income), data years, and geographic coverage. Results: Sixteen data sources were identified. Adverse childhood experiences, intimate partner violence, and sexual violence were the most common types of violence faced. Income, education, and family status were the most common socioeconomic measures. Linked administrative data offered the broadest and the most in-depth analytical opportunities. Conclusions: Currently, linked administrative data appears to offer the most comprehensive opportunities to examine the long-term impact of violence on individuals' livelihoods. This type of data infrastructure may provide cost-effective research opportunities to better understand the elements of the economic burden of violence and improve targeting of prevention strategies.
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While mixed methods research can enhance studies of intervention outcomes and projects where research itself transforms communities through participatory approaches, methodologists need explicit examples. As the field of interpersonal violence prevention increasingly embraces community-level prevention strategies, it may benefit from research methods that mirror community-building prevention processes. A multiphase mixed methods study with sequential and convergent components assessed the feasibility, and impact of a prevention program to change social norms and increase collective efficacy in towns. Joint display analysis created a nuanced picture of the acceptability, feasibility, and impact of the program. This article contributes to the field of mixed methods research by bridging discussions of "interventionist" studies with models of community-based participatory mixed methods research into a combined community-engaged method.
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PROBLEM/CONDITION: Homicide is a leading cause of death for American Indians/Alaska Natives (AI/ANs). Intimate partner violence (IPV) contributes to many homicides, particularly among AI/AN females. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on AI/AN homicides. Results include victim and suspect sex, age group, and race/ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics. PERIOD COVERED: 2003-2018. DESCRIPTION OF SYSTEM: NVDRS collects data regarding violent deaths obtained from death certificates, coroner/medical examiner reports, and law enforcement reports and links related deaths (e.g., multiple homicides and homicide followed by suicide) into a single incident. This report includes data on AI/AN homicides that were collected from 34 states (Alabama, Alaska, Arizona, California, Colorado, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Utah, Virginia, Washington, and Wisconsin) and the District of Columbia. RESULTS: NVDRS collected data on 2,226 homicides of AI/ANs in 34 states and the District of Columbia during 2003-2018. The age-adjusted AI/AN homicide rate was 8.0 per 100,000 population. The homicide rate was three times higher in AI/AN males than females (12.0 versus 3.9), and the median age of AI/AN victims was 32 years (interquartile range: 23-44 years). Approximately half of AI/AN homicide victims lived or were killed in metropolitan areas (48.2% and 52.7%, respectively). A firearm was used in nearly half (48.4%) of homicides and in a higher percentage of homicides of AI/AN males than females (51.5% versus 39.1%). More AI/AN females than males were killed in a house or apartment (61.8% versus 53.7%) or in their own home (47.7% versus 29.0%). Suspects were identified in 82.8% of AI/AN homicides. Most suspects were male (80.1%), and nearly one third (32.1%) of suspects were AI/ANs. For AI/AN male victims, the suspect was most often an acquaintance or friend (26.3%), a person known to the victim but the exact nature of the relationship was unclear (12.3%), or a relative (excluding intimate partners) (10.5%). For AI/AN female victims, the suspect was most often a current or former intimate partner (38.4%), an acquaintance or friend (11.5%), or a person known to the victim but the exact nature of the relationship was unclear (7.9%). A crime precipitated 24.6% of AI/AN homicides (i.e., the homicide occurred as the result of another serious crime). More AI/AN males were victims of homicides due to an argument or conflict than females (54.7% versus 37.3%), whereas more AI/AN females were victims of homicides due to IPV than males (45.0% versus 12.1%). For homicides related to IPV, 87.2% of AI/AN female victims were killed by a current or former intimate partner, whereas approximately half (51.5%) of AI/AN male victims were corollary victims (i.e., victims killed during an IPV-related incident who were not the intimate partners themselves). INTERPRETATION: This report provides a detailed summary of NVDRS data on AI/AN homicides during 2003-2018. Interpersonal conflict was a predominant circumstance, with nearly half of all AI/AN homicides precipitated by an argument and for female victims, 45.0% precipitated by IPV. PUBLIC HEALTH ACTION: NVDRS provides critical and ongoing data on AI/AN homicides that can be used to identify effective and early intervention strategies for preventing these deaths. When possible, violence prevention efforts should include community-developed, culturally relevant, and evidence-based strategies. These efforts should incorporate traditional native knowledge and solutions, implement and possibly adapt evidence-based IPV and other violence prevention strategies, and consider the influence of historical and larger societal factors that increase the likelihood of violence in AI/AN communities.
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/statistics & numerical data , American Indian or Alaska Native/statistics & numerical data , Homicide/ethnology , Population Surveillance , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , United States/epidemiology , Young AdultABSTRACT
INTRODUCTION: Alternative measurement approaches for adverse childhood experiences (i.e., count score versus individual adverse childhood experiences measured dichotomously versus individual adverse childhood experiences measured ordinally) can alter the association between adverse childhood experiences and adverse outcomes. This could significantly impact the interpretation of adverse childhood experiences research. METHODS: Data were collected in 2018 (analyzed in 2020) via Amazon's Mechanical Turk and from people incarcerated in 4 correctional facilities (N=1,451). Included adverse childhood experience questions measured the following: physical, emotional, and sexual abuse; physical and emotional neglect; household mental illness, substance use, domestic violence, and incarceration; and exposure to community violence before age 18 years. A total of 19 measured outcomes spanned 4 domains of functioning: general functioning, substance use, psychopathology, and criminal behavior. RESULTS: Regression models using the count score explained the least amount of variance in outcomes, whereas multivariable regression models assessing adverse childhood experiences on a continuum explained the most variance. In many instances, the explained variance increased by 2-5 times across the predictive models. When comparing regression coefficients for multivariable regression models that measured adverse childhood experiences as binary versus ordinal, there were notable differences in the effect sizes and in which adverse childhood experiences predicted outcomes. Disparities in results were most pronounced among high-risk populations that experience a disproportionate amount of adverse childhood experiences. CONCLUSIONS: Alternative methods of measuring adverse childhood experiences can influence understanding of their true impact. These findings suggest that the deleterious effects of imprecise measurement methods may be most pronounced in the populations most at risk of adverse childhood experiences. For the sake of prevention, the measurement of adverse childhood experiences must evolve.
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Adverse Childhood Experiences , Child Abuse , Domestic Violence , Substance-Related Disorders , Adolescent , Child , Family Characteristics , Humans , Risk Factors , Substance-Related Disorders/epidemiologyABSTRACT
CONTEXT: Health economic evaluations (e.g., cost-effectiveness analysis) can guide the efficient use of resources to improve health outcomes. This study aims to summarize the content and quality of interpersonal violence prevention economic evaluations. EVIDENCE ACQUISITION: In 2020, peer-reviewed journal articles published during 2000-2019 focusing on high-income countries were identified using index terms in multiple databases. Study content, including violence type prevented (e.g., child abuse and neglect), outcome measure (e.g., abusive head trauma clinical diagnosis), intervention type (e.g., education program), study methods, and results were summarized. Studies reporting on selected key methods elements essential for study comparison and public health decision making (e.g., economic perspective, time horizon, discounting, currency year) were assessed. EVIDENCE SYNTHESIS: A total of 26 economic evaluation studies were assessed, most of which reported that assessed interventions yielded good value for money. Physical assault in the community and child abuse and neglect were the most common violence types examined. Studies applied a wide variety of cost estimates to value avoided violence. Less than two thirds of the studies reported all the key methods elements. CONCLUSIONS: Comprehensive data collection on violence averted and intervention costs in experimental settings can increase opportunities to identify interventions that generate long-term value. More comprehensive estimates of the cost of violence can improve opportunities to demonstrate how prevention investment can be offset through avoided future costs. Better adherence to health economic evaluation reporting standards can enhance comparability across studies and may increase the likelihood that economic evidence is included in violence prevention decision making.
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Child Abuse , Child , Cost-Benefit Analysis , HumansABSTRACT
Microfinance programs provide access to small amounts of capital in the form of credit, savings, or financial incentives. There is evidence that microfinance reduces financial strain and reduces violence making it a promising public health approach. However, most of this evidence was generated internationally in low-resource countries; thus, it is likely that adaptations are necessary for microfinance to be effective at preventing violence in the U.S. This article reviews the evidence base for microfinance interventions on violence outcomes; outlines the potential of microfinance to prevent violence in the U.S.; and offers some possible adaptations in order to increase the likelihood that microfinance will prevent violence in the U.S. Programs might consider providing matched savings instead of small loans to individuals and providing job skills training. Furthermore, it is important for U.S. microfinance programs to engage multiple sectors and to consider additional content, such as a gender equity component and safety planning to protect those who might be in violent relationships. It is also important that these adaptations be rigorously evaluated for impacts on multiple forms of violence.
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INTRODUCTION: Few societal-level factors are established as risk or protective factors for sexual violence. Traditional gender norms and gender inequality are linked to sexual violence, but much of this research was conducted internationally or is becoming outdated and may not reflect current norms in the U.S. This study expands on previously published research by examining gender inequality's association with state-level sexual violence. METHODS: Using state-level prevalence estimates published in the National Intimate Partner and Sexual Violence Survey 2010-2012 State Report and the Gender Inequality Index, Pearson correlations were examined to investigate the relationship between state-level gender inequality and lifetime victimization for various types of sexual violence among U.S. female and male adults. The analysis was conducted in 2019. RESULTS: Findings indicate that states with a high degree of gender inequality also report higher prevalence estimates among women for rape using physical force. Gender inequality was also negatively correlated with noncontact unwanted sexual experiences among women and men. In addition, an exploratory analysis of the relationship between individual indicators of gender inequality and violence outcomes suggest that the adolescent birth rate, female government representation, and labor force participation demonstrate an association with certain state-level violence outcomes, although the patterns were inconsistent. CONCLUSIONS: Although this study relied on cross-sectional data, collectively, these findings suggest that gender inequality may represent an important societal-level factor associated with sexual violence among women and men. However, this relationship appears complex and requires further research. These findings have potential to inform population-level violence prevention approaches.
Subject(s)
Crime Victims/statistics & numerical data , Gender Identity , Sex Offenses/statistics & numerical data , Adolescent , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prevalence , Rape/statistics & numerical data , Sex Offenses/psychology , Surveys and Questionnaires , United StatesABSTRACT
Sexual violence (SV) and intimate partner violence (IPV), which often co-occur with bullying, are serious public health issues underscoring the need for primary prevention. The purpose of this study was to examine the impact of a community-building SV and IPV prevention program, Green Dot Community, on adolescents' perceptions of community social norms and their propensity to intervene as helpful actionists using two independent data sources. Green Dot Community takes place in towns and aims to influence all town members to prevent SV and IPV by addressing protective factors (i.e., collective efficacy, positive prevention social norms, and bystander helping, or actionism). In the current study, one town received Green Dot Community (the prevention-enhanced town), and two towns received prevention as usual (i.e., awareness and fundraising events by local IPV and SV advocacy centers). The program was evaluated using a two-part method: (a) A cross-sectional sample of high school students from three rural communities provided assessment of protective factors at two time points (Time 1, N = 1,187; Time 2, N = 877) and (b) Youth Risk Behavior Survey data from the state Department of Health were gathered before and after program implementation (Time 1, N=2,034; Time 2, N=2,017) to assess victimization rates. Youth in the prevention-enhanced town reported higher collective efficacy and more positive social norms specific to helping in situations of SV and IPV over time but did not differ on bystander behaviors or on victimization rates. Community-based prevention initiatives may be helpful in changing community norms to prevent SV/IPV.
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Little systematic information exists about how community-based prevention efforts at the state and local levels contribute to our knowledge of intimate partner violence (IPV) prevention. The Centers for Disease Control and Prevention's (CDC) DELTA FOCUS program funds ten state domestic violence coalitions to engage in IPV primary prevention through approaches addressing the outer layers of the social ecology. This paper explored the ways in which DELTA FOCUS recipients have contributed to a national-level dialogue on IPV prevention. Previously undefined, the authors define national-level dialogue and retrospectively apply the CDC Science Impact Framework (SIF) to describe contributions DELTA FOCUS recipients made to it. Authors conducted document review and qualitative content analysis of recipient semi-annual progress reports from 2014 to 2016 (N = 40) using NVivo. A semi-structured coding scheme was applied across the five SIF domains: Creating Awareness, Catalyzing Action, Effecting Change, Disseminating Science, and Shaping the Future. All recipients sought to promote IPV prevention by communicating and sharing with non-CDC-funded state coalitions, national partners, and other IPV stakeholders information and resources accumulated through practice-based prevention efforts. Through implementing and disseminating their prevention work in myriad ways, DELTA FOCUS recipients are building practice-based evidence on community-based IPV prevention.
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Community-Institutional Relations , Intimate Partner Violence/prevention & control , Primary Prevention/methods , Centers for Disease Control and Prevention, U.S. , Humans , Interinstitutional Relations , Interprofessional Relations , Primary Prevention/organization & administration , Program Evaluation , United StatesABSTRACT
INTRODUCTION: This study estimated the U.S. lifetime per-victim cost and economic burden of intimate partner violence. METHODS: Data from previous studies were combined with 2012 U.S. National Intimate Partner and Sexual Violence Survey data in a mathematical model. Intimate partner violence was defined as contact sexual violence, physical violence, or stalking victimization with related impact (e.g., missed work days). Costs included attributable impaired health, lost productivity, and criminal justice costs from the societal perspective. Mean age at first victimization was assessed as 25 years. Future costs were discounted by 3%. The main outcome measures were the mean per-victim (female and male) and total population (or economic burden) lifetime cost of intimate partner violence. Secondary outcome measures were marginal outcome probabilities among victims (e.g., anxiety disorder) and associated costs. Analysis was conducted in 2017. RESULTS: The estimated intimate partner violence lifetime cost was $103,767 per female victim and $23,414 per male victim, or a population economic burden of nearly $3.6 trillion (2014 US$) over victims' lifetimes, based on 43 million U.S. adults with victimization history. This estimate included $2.1 trillion (59% of total) in medical costs, $1.3 trillion (37%) in lost productivity among victims and perpetrators, $73 billion (2%) in criminal justice activities, and $62 billion (2%) in other costs, including victim property loss or damage. Government sources pay an estimated $1.3 trillion (37%) of the lifetime economic burden. CONCLUSIONS: Preventing intimate partner violence is possible and could avoid substantial costs. These findings can inform the potential benefit of prioritizing prevention, as well as evaluation of implemented prevention strategies.
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Cost of Illness , Crime Victims/statistics & numerical data , Criminal Law/economics , Health Care Costs/statistics & numerical data , Intimate Partner Violence/economics , Adult , Criminal Law/statistics & numerical data , Efficiency , Female , Humans , Intimate Partner Violence/statistics & numerical data , Male , Middle Aged , Stalking/psychology , Surveys and QuestionnairesABSTRACT
Paid parental leave policies have the potential to strengthen economic supports, reduce family discord, and provide opportunities to empower women (Basile et al., 2016; Niolon et al., 2017). In this article, we present a theory of change and evidence to suggest how paid parental leave may impact intimate partner violence (IPV). In doing so, we present three mechanisms of change (i.e., reduction in financial stress, increase in egalitarian parenting practices, and promotion of child/parent bonding) through which paid parental leave could reduce rates of IPV. We also describe limitations of the current state of knowledge in this area, as well as opportunities for future research. Ultimately, our goal is to facilitate the identification and implementation of approaches that have the potential to reduce violence at the population level. Paid parental leave embodies the potential of policies to change societal-level factors and serve as an important prevention strategy for IPV.
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Health Policy , Intimate Partner Violence/prevention & control , Parental Leave , HumansABSTRACT
Psychopathic traits are a manifestation of a personality pathology that comprises a core affective-interpersonal dysfunction (callous-unemotional traits) and an impulsive-antisocial behavioral component. Of particular importance, psychopathic traits are associated with the perpetration of some of the most severe acts of violence, and they appear to indicate a subset of youth at risk for earlier onset, greater frequency, and persistence of violent offending. Although these youth represent a minority of the population, they commit a significant proportion of the violence in the general community. In our review, we highlight evidence of a unique neurobiological predisposition that underlies the core affective deficits and describe contemporary accounts for the developmental processes leading to the antisocial behavior associated with psychopathy. Current evidence suggests that, for this subset of youth, the structure and function of neural circuitry supporting emotion processing, reward learning, decision making, and the development of emotion related to empathy may be crucial to understanding why they are at risk for violence. In particular, a reward dominant pattern of neurobehavioral conditioning may explain how these youth progress to some of the most severe and persistent forms of violence. However, this pattern of conditioning may also be essential to the primary prevention of such deleterious behavior. We suspect that effective strategies to prevent such violence may ultimately be informed by understanding these affective and motivational mechanisms.
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Antisocial Personality Disorder/psychology , Reward , Violence/psychology , Adolescent , Aggression/psychology , Criminals , Emotions , Empathy , Humans , Impulsive BehaviorABSTRACT
Science, technology, engineering, and math (STEM) are growing fields that provide job stability, financial security, and health prosperity for professionals in these fields. Unfortunately, females are underrepresented in STEM, which is potentially both a consequence and precipitant of gender inequity in the United States. In addition to the financial and health benefits, increasing the number of girls and women in STEM fields may also indirectly prevent and/or reduce teen dating violence and intimate partner violence by: (1) increasing women's financial independence, thereby reducing dependence on potentially abusive partners; (2) decreasing household poverty and financial stress, which may lead to reductions in relationship discord; and (3) increasing attitudes and beliefs about women as equals, thereby increasing gender equity. In this commentary, we discuss the potential role of primary and secondary school STEM programs in reducing violence against women. We review the literature on existing evaluations of STEM programs for educational outcomes, discuss the limitations of these evaluations, and offer suggestions for future research.
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Intimate Partner Violence/prevention & control , Rape/prevention & control , Sexual Partners , Violence/prevention & control , Adolescent , Adolescent Behavior , Engineering , Female , Humans , Intimate Partner Violence/psychology , Male , Program Development , Rape/psychology , Science , Technology , United States , Violence/psychologyABSTRACT
OBJECTIVES: To assess gender differences in the proportion of adolescents reporting teen dating violence (TDV) and the frequency of TDV at multiple age points across adolescence in a high-risk sample of youth with previous exposure to violence. METHODS: A cross-sectional, high-risk sample of boys and girls (n = 1149) ages 11 to 17 years completed surveys assessing TDV and self-defense. Indices of TDV included perpetration and victimization scales of controlling behaviors, psychological TDV, physical TDV, sexual TDV, fear/intimidation, and injury. RESULTS: More girls reported perpetrating psychological and physical TDV, whereas twice as many boys reported sexual TDV perpetration. More girls reported fear/intimidation victimization than boys. When comparing the frequency of TDV across adolescence, boys reported more sexual TDV victimization at younger ages, and girls demonstrated a trend toward more victimization at older ages. Likewise, younger boys reported more fear/intimidation and injury perpetration and injury victimization than younger girls. However, by age 17, girls reported more injury perpetration than boys, and reports of injury victimization and use of self-defense did not differ. Notably, despite potential parity in injury, girls consistently reported more fear/intimidation victimization associated with TDV. CONCLUSIONS: Contrary to data suggesting that girls experience far more sexual TDV and injury, these data suggest that at specific times during adolescence, boys among high-risk populations may be equally at risk for victimization. However, the psychological consequences (fear) are greater for girls. These findings suggest a need to tailor strategies to prevent TDV based on both age- and gender-specific characteristics in high-risk populations.
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Adolescent Behavior/psychology , Crime Victims/statistics & numerical data , Intimate Partner Violence/statistics & numerical data , Wounds and Injuries/etiology , Adolescent , Child , Crime Victims/psychology , Cross-Sectional Studies , Fear/psychology , Female , Health Surveys , Humans , Intimate Partner Violence/psychology , Male , Sex Factors , Texas/epidemiology , Wounds and Injuries/epidemiology , Wounds and Injuries/psychologyABSTRACT
PURPOSE: The goal of the present research was to identify distinct latent classes of adolescents that commit teen dating violence (TDV) and assess differences on demographic, behavioral, and attitudinal correlates. METHODS: Boys and girls (N = 1,149; Mage = 14.3; Grades 6-12) with a history of violence exposure completed surveys assessing six indices of TDV in the preceding 3 months. Indices of TDV included controlling behaviors, psychological TDV, physical TDV, sexual TDV, fear/intimidation, and injury. In addition, adolescents provided demographic and dating history information and completed surveys assessing attitudes condoning violence, relationship skills and knowledge, and reactive/proactive aggression. RESULTS: Latent class analysis indicated a three-class solution wherein the largest class of students was nonviolent on all indices ("nonaggressors") and the smallest class of students demonstrated high probability of nearly all indices of TDV ("multiform aggressors"). In addition, a third class of "emotional aggressors" existed for which there was a high probability of controlling and psychological TDV but low likelihood of any other form of TDV. Multiform aggressors were differentiated from emotional and nonaggressors on the use of self-defense in dating relationships, attitudes condoning violence, and proactive aggression. Emotional aggressors were distinguished from nonaggressors on nearly all measured covariates. CONCLUSIONS: Evidence indicates that different subgroups of adolescents engaging in TDV exist. In particular, a small group of youth engaging in multiple forms of TDV can be distinguished from a larger group of youth that commit acts of TDV restricted to emotional aggression (i.e., controlling and psychological) and most youth that do not engage in TDV.
Subject(s)
Adolescent Behavior/psychology , Intimate Partner Violence , Sex Offenses , Adolescent , Aggression , Child , Female , Humans , Intimate Partner Violence/classification , Intimate Partner Violence/ethnology , Male , Sex Offenses/classification , Surveys and QuestionnairesABSTRACT
OBJECTIVE: This article summarizes existing research on the relationship between alcohol policies and intimate partner violence (IPV). Because alcohol use represents an important risk factor for IPV, interventions and policies aimed at decreasing problem drinking may also lead to reductions in IPV. METHOD: Electronic databases were searched to identify relevant peer-reviewed journal articles on alcohol policies and IPV, as well as reference sections of appropriate articles. Only policies that have been studied specifically for their impact on IPV were included. RESULTS: Three alcohol policy areas (outlet density, hours and days of sale, and pricing/taxation) have been studied in relation to IPV outcomes. Research on outlet density has the most consistent findings, with most studies indicating that higher densities of alcohol outlets are associated with higher rates of IPV. Fewer studies have been conducted on pricing policies and policies restricting hours/days of sale, with most studies suggesting no impact on IPV rates. CONCLUSIONS: A higher density of alcohol outlets appears to be associated with greater rates of IPV. However, there is limited evidence suggesting that alcohol pricing policies and restrictions on hours and days of sale are associated with IPV outcomes. Knowledge about the impact of alcohol-related policies on IPV and violence in general is limited by several significant research gaps. Additional research is needed to assess the impact of alcohol policies on IPV and other forms of violence.
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Alcohol Drinking/epidemiology , Commerce/statistics & numerical data , Intimate Partner Violence/statistics & numerical data , Alcohol Drinking/economics , Alcoholism/epidemiology , Costs and Cost Analysis , Databases, Factual , Female , Humans , Male , Risk FactorsABSTRACT
Psychopathy is an early-appearing risk factor for severe and chronic violence. The violence largely attributable to psychopathy constitutes a substantial portion of the societal burden to the public health and criminal justice systems, and thus necessitates significant attention from prevention experts. Yet, despite a vast base of research in psychology and criminology, the public health approach to violence has generally neglected to consider this key variable. Fundamentally, the public health approach to violence prevention is focused on achieving change at the population level to provide the most benefit to the maximum number of people. Increasing attention to the individual-level factor of psychopathy in public health could improve our ability to reduce violence at the community and societal levels. We conclude that the research literature on psychopathy points to a pressing need for a broad-based public health approach with a focus on primary prevention. Further, we consider how measuring psychopathy in public health research may benefit violence prevention, and ultimately society, in general.