Understanding forms of childhood adversities and associations with adult health outcomes: A regression tree analysis.

BACKGROUND: Empirical studies have demonstrated associations between ten original adverse childhood experiences (ACEs) and multiple health outcomes. Identifying expanded ACEs can capture the burden of other childhood adversities that may have important health implications. OBJECTIVE: We sought to identify childhood adversities that warrant consideration as expanded ACEs. We hypothesized that experiencing expanded and original ACEs would be associated with poorer adult health outcomes compared to experiencing original ACEs alone. PARTICIPANTS: The 11,545 respondents of the National Longitudinal Surveys (NLS) and Child and Young Adult Survey were 48.9 % female, 22.7 % Black, 15.8 % Hispanic, 36.1 % White, 1.7 % Asian/Native Hawaiian/Pacific Islander/Native American/Native Alaskan, and 7.5 % Other. METHODS: This study used regression trees and generalized linear models to identify if/which expanded ACEs interacted with original ACEs in association with six health outcomes. RESULTS: Four expanded ACEs-basic needs instability, lack of parental love and affection, community stressors, and mother's experience with physical abuse during childhood -significantly interacted with general health, depressive symptom severity, anxiety symptom severity, and violent crime victimization in adulthood (all p-values <0.005). Basic needs instability and/or lack of parental love and affection emerged as correlates across multiple outcomes. Experiencing lack of parental love and affection and original ACEs was associated with greater anxiety symptoms (p = 0.022). CONCLUSIONS: This is the first study to use supervised machine learning to investigate interaction effects among original ACEs and expanded ACEs. Two expanded ACEs emerged as predictors for three adult health outcomes and warrant further consideration in ACEs assessments.

The Association Between State Minimum Wage and Firearm Homicides, 2000-2020.

INTRODUCTION: Recent research has indicated an association between both poverty and income inequality and firearm homicides. Increased minimum wages may serve as a strategy for reducing firearm violence by increasing economic security among workers earning low wages and reducing the number of families living in poverty. This study aimed to examine the association between state minimum wage and firearm homicides in the U.S. between 2000 and 2020. METHODS: State minimum wage, obtained from Temple's Law Atlas and augmented by legal research, was conceptualized using the Kaitz Index. State-level homicide counts were obtained from 2000 to 2020 multiple-cause-of death mortality data from the National Vital Statistics System. Log-linear regressions were conducted to model the associations between state minimum wage and firearm homicides, stratifying by demographic groups. Analyses were conducted in 2023. RESULTS: A 1% point increase in a state's Kaitz Index was associated with a 1.3% (95% CI: -2.1% to -0.5%) decrease in a state's firearm homicide rate. When interacted with quartile of firearm ownership, the Kaitz Index was associated with decreases in firearm homicide in all except the lowest quartile. These findings were largely consistent across stratifications. CONCLUSIONS: Changing a state's minimum wage, whereby a full-time minimum wage worker's salary is closer to a state's median income, may be an option for reducing firearm homicides.

Advanced child tax credit payments and national child abuse hotline contacts, 2019-2022.

BACKGROUND: Children in households experiencing poverty are disproportionately exposed to maltreatment. Income support policies have been associated with reductions in child abuse and neglect. The advance child tax credit (CTC) payments may reduce child maltreatment by improving the economic security of some families. No national studies have examined the association between advance CTC payments and child abuse and neglect. This study examines the association between the advance CTC payments and child abuse and neglect-related contacts to the Childhelp National Child Abuse Hotline. METHODS: A time series study of contacts to the Childhelp National Child Abuse Hotline between January 2019 and December 2022 was used to examine the association between the payments and hotline contacts. An interrupted time series (ITS) exploiting the variation in the advance CTC payments was estimated using fixed effects. RESULTS: The CTC advance payments were associated with an immediate 13.8% (95% CI -17.5% to -10.0%) decrease in contacts to the hotline in the ITS model. Following the expiration of the advance CTC payments, there was a significant and gradual 0.1% (95% CI +0.0% to +0.2%) daily increase in contacts. Sensitivity analyses found significant reductions in contacts following each payment, however, the reductions were associated with the last three of the six total payments. CONCLUSION: These findings suggest the advance CTC payments may reduce child abuse and neglect-related hotline contacts and continue to build the evidence base for associations between income-support policies and reductions in child abuse and neglect.

Development of a Machine Learning Model to Estimate US Firearm Homicides in Near Real Time.

Importance: Firearm homicides are a major public health concern; lack of timely mortality data presents considerable challenges to effective response. Near real-time data sources offer potential for more timely estimation of firearm homicides. Objective: To estimate near real-time burden of weekly and annual firearm homicides in the US. Design, Setting, and Participants: In this prognostic study, anonymous, longitudinal time series data were obtained from multiple data sources, including Google and YouTube search trends related to firearms (2014-2019), emergency department visits for firearm injuries (National Syndromic Surveillance Program, 2014-2019), emergency medical service activations for firearm-related injuries (biospatial, 2014-2019), and National Domestic Violence Hotline contacts flagged with the keyword firearm (2016-2019). Data analysis was performed from September 2021 to September 2022. Main Outcomes and Measures: Weekly estimates of US firearm homicides were calculated using a 2-phase pipeline, first fitting optimal machine learning models for each data stream and then combining the best individual models into a stacked ensemble model. Model accuracy was assessed by comparing predictions of firearm homicides in 2019 to actual firearm homicides identified by National Vital Statistics System death certificates. Results were also compared with a SARIMA (seasonal autoregressive integrated moving average) model, a common method to forecast injury mortality. Results: Both individual and ensemble models yielded highly accurate estimates of firearm homicides. Individual models' mean error for weekly estimates of firearm homicides (root mean square error) varied from 24.95 for emergency department visits to 31.29 for SARIMA forecasting. Ensemble models combining data sources had lower weekly mean error and higher annual accuracy than individual data sources: the all-source ensemble model had a weekly root mean square error of 24.46 deaths and full-year accuracy of 99.74%, predicting the total number of firearm homicides in 2019 within 38 deaths for the entire year (compared with 95.48% accuracy and 652 deaths for the SARIMA model). The model decreased the time lag of reporting weekly firearm homicides from 7 to 8 months to approximately 6 weeks. Conclusions and Relevance: In this prognostic study of diverse secondary data on machine learning, ensemble modeling produced accurate near real-time estimates of weekly and annual firearm homicides and substantially decreased data source time lags. Ensemble model forecasts can accelerate public health practitioners' and policy makers' ability to respond to unanticipated shifts in firearm homicides.

Emergency Department Visits for Firearm Injuries Before and During the COVID-19 Pandemic - United States, January 2019-December 2022.

During the COVID-19 pandemic, the U.S. firearm homicide rate increased by nearly 35%, and the firearm suicide rate remained high during 2019-2020 (1). Provisional mortality data from the National Vital Statistics System indicate that rates continued to increase in 2021: the rates of firearm homicide and firearm suicide in 2021 were the highest recorded since 1993 and 1990, respectively (2). Firearm injuries treated in emergency departments (EDs), the primary setting for the immediate medical treatment of such injuries, gradually increased during 2018-2019 (3); however, more recent patterns of ED visits for firearm injuries, particularly during the COVID-19 pandemic, are unknown. Using data from the National Syndromic Surveillance Program (NSSP),* CDC examined changes in ED visits for initial firearm injury encounters during January 2019-December 2022, by year, patient sex, and age group. Increases in the overall weekly number of firearm injury ED visits were detected at certain periods during the COVID-19 pandemic. One such period during which there was a gradual increase was March 2020, which coincided with both the declaration of COVID-19 as a national emergency† and a pronounced decrease in the total number of ED visits. Another increase in firearm injury ED visits occurred in late May 2020, concurrent with a period marked by public outcry related to social injustice and structural racism (4), changes in state-level COVID-19-specific prevention strategies,§ decreased engagement in COVID-19 mitigation behaviors (5), and reported increases in some types of crime (4). Compared with 2019, the average number of weekly ED visits for firearm injury was 37% higher in 2020, 36% higher in 2021, and 20% higher in 2022. A comprehensive approach is needed to prevent and respond to firearm injuries in communities, including strategies that engage community and street outreach programs, implement hospital-based violence prevention programs, improve community physical environments, enhance secure storage of firearms, and strengthen social and economic supports.

County-Level Social Vulnerability and Emergency Department Visits for Firearm Injuries - 10 U.S. Jurisdictions, January 1, 2018-December 31, 2021.

At least 100,000 persons in the United States experience a fatal or nonfatal firearm injury each year.* CDC examined rates of firearm injury emergency department (ED) visits by community social vulnerability using data from CDC's Firearm Injury Surveillance Through Emergency Rooms (FASTER) program.† ED visit data, shared with CDC's National Syndromic Surveillance Program (NSSP)§ during 2018-2021, were analyzed for 647 counties in 10 FASTER-funded jurisdictions.¶ County-level social vulnerability data were obtained from the 2018 Social Vulnerability Index (SVI).** Rates of ED visits for firearm injuries (number of firearm injury ED visits per 100,000 ED visits) were calculated across tertile levels of social vulnerability. Negative binomial regression models were used to estimate rate ratios (RRs) and associated 95% CIs comparing rates of ED visits across social vulnerability levels. During 2018-2021, compared with rates in counties with low overall social vulnerability, the firearm injury ED visit rate was 1.34 times as high in counties with medium social vulnerability and 1.80 times as high in counties with high social vulnerability. Similar patterns were observed for the SVI themes of socioeconomic status and housing type and transportation, but not for the themes of household composition and disability status or racial and ethnic minority status and language proficiency. More timely data†† on firearm injury ED visits by social vulnerability can help identify communities disproportionately experiencing elevated firearm injury rates. States and communities can use the best available evidence to implement comprehensive prevention strategies that address inequities in the social and structural conditions that contribute to risk for violence, including creating protective community environments, strengthening economic supports, and intervening to reduce harms and prevent future risk (e.g., with hospital-based violence intervention programs) (1,2).

Vital Signs: Changes in Firearm Homicide and Suicide Rates - United States, 2019-2020.

INTRODUCTION: The majority of homicides (79%) and suicides (53%) in the United States involved a firearm in 2020. High firearm homicide and suicide rates and corresponding inequities by race and ethnicity and poverty level represent important public health concerns. This study examined changes in firearm homicide and firearm suicide rates coinciding with the emergence of the COVID-19 pandemic in 2020. METHODS: National vital statistics and population data were integrated with urbanization and poverty measures at the county level. Population-based firearm homicide and suicide rates were examined by age, sex, race and ethnicity, geographic area, level of urbanization, and level of poverty. RESULTS: From 2019 to 2020, the overall firearm homicide rate increased 34.6%, from 4.6 to 6.1 per 100,000 persons. The largest increases occurred among non-Hispanic Black or African American males aged 10-44 years and non-Hispanic American Indian or Alaska Native (AI/AN) males aged 25-44 years. Rates of firearm homicide were lowest and increased least at the lowest poverty level and were higher and showed larger increases at higher poverty levels. The overall firearm suicide rate remained relatively unchanged from 2019 to 2020 (7.9 to 8.1); however, in some populations, including AI/AN males aged 10-44 years, rates did increase. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: During the COVID-19 pandemic, the firearm homicide rate in the United States reached its highest level since 1994, with substantial increases among several population subgroups. These increases have widened disparities in rates by race and ethnicity and poverty level. Several increases in firearm suicide rates were also observed. Implementation of comprehensive strategies employing proven approaches that address underlying economic, physical, and social conditions contributing to the risks for violence and suicide is urgently needed to reduce these rates and disparities.

Trends in US Emergency Department Visits for Mental Health, Overdose, and Violence Outcomes Before and During the COVID-19 Pandemic.

Importance: The coronavirus disease 2019 (COVID-19) pandemic, associated mitigation measures, and social and economic impacts may affect mental health, suicidal behavior, substance use, and violence. Objective: To examine changes in US emergency department (ED) visits for mental health conditions (MHCs), suicide attempts (SAs), overdose (OD), and violence outcomes during the COVID-19 pandemic. Design, Setting, and Participants: This cross-sectional study used data from the Centers for Disease Control and Prevention's National Syndromic Surveillance Program to examine national changes in ED visits for MHCs, SAs, ODs, and violence from December 30, 2018, to October 10, 2020 (before and during the COVID-19 pandemic). The National Syndromic Surveillance Program captures approximately 70% of US ED visits from more than 3500 EDs that cover 48 states and Washington, DC. Main Outcomes and Measures: Outcome measures were MHCs, SAs, all drug ODs, opioid ODs, intimate partner violence (IPV), and suspected child abuse and neglect (SCAN) ED visit counts and rates. Weekly ED visit counts and rates were computed overall and stratified by sex. Results: From December 30, 2018, to October 10, 2020, a total of 187 508 065 total ED visits (53.6% female and 46.1% male) were captured; 6 018 318 included at least 1 study outcome (visits not mutually exclusive). Total ED visit volume decreased after COVID-19 mitigation measures were implemented in the US beginning on March 16, 2020. Weekly ED visit counts for all 6 outcomes decreased between March 8 and 28, 2020 (March 8: MHCs = 42 903, SAs = 5212, all ODs = 14 543, opioid ODs = 4752, IPV = 444, and SCAN = 1090; March 28: MHCs = 17 574, SAs = 4241, all ODs = 12 399, opioid ODs = 4306, IPV = 347, and SCAN = 487). Conversely, ED visit rates increased beginning the week of March 22 to 28, 2020. When the median ED visit counts between March 15 and October 10, 2020, were compared with the same period in 2019, the 2020 counts were significantly higher for SAs (n = 4940 vs 4656, P = .02), all ODs (n = 15 604 vs 13 371, P < .001), and opioid ODs (n = 5502 vs 4168, P < .001); counts were significantly lower for IPV ED visits (n = 442 vs 484, P < .001) and SCAN ED visits (n = 884 vs 1038, P < .001). Median rates during the same period were significantly higher in 2020 compared with 2019 for all outcomes except IPV. Conclusions and Relevance: These findings suggest that ED care seeking shifts during a pandemic, underscoring the need to integrate mental health, substance use, and violence screening and prevention services into response activities during public health crises.

Nonmetropolitan COVID-19 Incidence and Mortality Rates Surpassed Metropolitan Rates Within the First 24 Weeks of the Pandemic Declaration: United States, March 1-October 18, 2020.

PURPOSE: This report compares COVID-19 incidence and mortality rates in the nonmetropolitan areas of the United States with the metropolitan areas across three 11-week periods from March 1 to October 18, 2020. METHODS: County-level COVID-19 case, death, and population counts were downloaded from USAFacts.org. The 2013 NCHS Urban-Rural Classification Scheme was collapsed into two categories called metropolitan (large central, large fringe, medium, and small metropolitans) and nonmetropolitan (micropolitan/noncore). Daily COVID-19 incidence and mortality rates were computed to show temporal trends for each of these two categories. Maps showing the ratio of nonmetropolitan to metropolitan COVID-19 incidence and mortality rates by state identify states with higher rates in nonmetropolitan areas than in metropolitan areas in each of the three 11-week periods. FINDINGS: In the period between March 1 and October 18, 2020, 13.8% of the 8,085,214 confirmed COVID-19 cases and 10.7% of the 217,510 deaths occurred among people residing in nonmetropolitan counties. The nonmetropolitan incidence and mortality trends steadily increased and surpassed those in metropolitan areas, beginning in early August. CONCLUSIONS: Despite the relatively small size of the US population living in nonmetropolitan areas, these areas have an equal need for testing, health care personnel, and mitigation resources. Having state-specific rural data allow the development of prevention messages that are tailored to the sociocultural context of rural locations.

Adolescent dating violence prevention programmes: a global systematic review of evaluation studies.

Adolescent dating violence negatively affects millions of young people worldwide. Through a global systematic review, we synthesised evidence from rigorous studies of prevention programmes for adolescent dating violence. Our aims were to: (1) describe the breadth of research in this area and evidence of programme effects, and (2) identify gaps in the evidence base. We included experimental and controlled quasi-experimental programme evaluations, published before Jan 1, 2020, that assessed effects on victimisation or perpetration, or both, in adolescent dating violence and in which at least half of the study population was 10-19 years old. Study design, programme elements, and outcomes were compared between evaluations implemented in high-income countries (HICs) and low-income and middle-income countries (LMICs). 52 evaluations met inclusion criteria, of which 20 (38%) were implemented in LMICs. Evaluations in HICs were more likely to assess effects on adolescent dating violence victimisation and perpetration, rather than just victimisation, than those in LMICs, and they were also more likely to include boys and girls, as opposed to just a single sex. Overall, 26 (50%) of the 52 evaluations reported a significant preventive effect on at least one outcome for adolescent dating violence, of which nine were implemented in LMICs. Across LMICs and HICs, findings suggest research is needed to shed light on how adolescent dating violence prevention programmes work and to identify whether programme effects generalise across different settings, outcomes, and subgroups. TRANSLATIONS: For the Chinese, French and Spanish translations of the abstract see Supplementary Materials section.

Prevalence and Risk Factors of Women's Past-Year Physical IPV Perpetration and Victimization in Tanzania.

Recent studies of intimate partner violence (IPV) in high-resource countries suggest that men and women may perpetrate similar rates of violence against their partners, yet the prevalence and etiology of female-perpetrated IPV, especially in comparison with IPV victimization among females, remains largely understudied in low-resource, high-prevalence countries, particularly in sub-Saharan Africa. Using multivariate logistic regression models, the current study examines the prevalence of and risk factors associated with past 12-month experiences of isolated physical IPV perpetration (i.e., violence perpetrated against an intimate partner not in self-defense) and physical IPV victimization among a nationally representative sample of women of reproductive age (15-49 years) from Tanzania who completed the Tanzanian Demographic and Health Survey Domestic Violence Module (n = 5,372). Approximately 1.5% reported perpetrating violence in the past 12 months, whereas 35% reported victimization in the same time period. Risk factors of past 12-month IPV perpetration included past 12-month IPV victimization, making cash or in-kind earnings, having autonomy in decision making, and acceptance of justifications for wife beating. Women much younger than their partners had lower odds of IPV perpetration. Risk factors of past 12-month IPV victimization included past 12-month IPV perpetration, educational attainment, having children, partner's alcohol consumption, partner's decision making, acceptance of justifications for wife beating, and exposure to parental IPV. Making cash or in-kind earnings was the only protective factor against victimization. Findings suggest that female IPV perpetration and victimization may result from a combination of factors including power differentials between partners and attitudes about the acceptability of using violence. Future research directions and implications for policy and prevention efforts to reduce IPV in Tanzania are discussed.

Patterns of Intimate Partner Violence Victimization Among South African Women and Their Relation to Emotional Distress During Pregnancy and Postpartum.

Although numerous studies have established a link between intimate partner violence (IPV) victimization and maternal mental health, extant research examining this association has not considered heterogeneity in the forms of IPV that women experience. This is an important gap given that typological perspectives suggest that mental health consequences of IPV victimization may depend on the particular pattern of IPV that is experienced. The current study used latent class analysis to (a) identify and characterize distinct patterns of physical, psychological, and sexual IPV and male controlling behavior in a sample of pregnant South African women (n = 1,480) and (b) examine associations between IPV patterns and emotional distress during pregnancy (baseline) and 9 months postpartum (follow-up). Latent class analysis identified a three-class solution wherein the largest class demonstrated a low probability of IPV victimization across all indicators (nonvictims; 72% of the sample) and the smallest class demonstrated high probabilities of having experienced moderate and severe forms of IPV victimization as well as male controlling behavior (multiform severe controlling IPV; 4% of the sample). A third class (moderate IPV) was identified for which there was a high probability of experiencing moderate, but not severe, physical and psychological IPV (24% of the sample). Age, education, cohabitation status, experience of childhood abuse, and forced first sex were associated with class membership. Multiform severe controlling IPV victims reported significantly greater emotional distress than moderate IPV victims and nonvictims at baseline and follow-up. The results contribute to understanding heterogeneity in the patterns of IPV that women experience that may reflect distinct etiological processes and warrant distinct prevention and treatment approaches.

Codevelopment of Delinquency, Alcohol Use, and Aggression Toward Peers and Dates: Multitrajectory Patterns and Predictors.

We aimed to characterize developmental patterns of involvement in alcohol use, delinquency, and interpersonal aggression in a normative sample of adolescents by applying multitrajectory group-based modeling. Using seven waves of data from a cohort sequential study spanning the 6th to 12th grades (n = 2,825; 50% girls), we identified four distinct trajectory groups: low risk (33%), declining peer aggressors (44%), peer and dating aggressors (13%), and multidomain high risk (10%). Across all comparisons, girls were more likely than boys to be members of the peer and dating aggressor group and less likely to be members of the multidomain high-risk group. Moreover, individual (self-control, negative emotionality), family (family violence, parental monitoring), and peer (substance use norms) distinguished class membership.

The Prototypes of Tobacco Users Scale (POTUS) for Cigarette Smoking and E-Cigarette Use: Development and Validation.

Endorsing prototypes of cigarette smokers predicts cigarette smoking, but less is known about prototypes of users of other tobacco products. Our study sought to establish the reliability and validity of a measure of prototypes of smokers and e-cigarette users. Participants were from a national survey of smokers and non-smokers (n = 1414), a randomized clinical trial (RCT) of adult smokers (n = 2149), and adolescent children of adults in the trial (n = 112). The Prototypes of Tobacco Users Scale (POTUS) has four positive adjectives (cool, sexy, smart, and healthy) and four negative adjectives (disgusting, unattractive, immature, and inconsiderate) describing cigarette smokers and e-cigarette users. Confirmatory factor analyses identified a two-factor solution. The POTUS demonstrated strong internal consistency reliability in all three samples (median α = 0.85) and good test-retest reliability among adults in the RCT (median r = 0.61, 1-4 weeks follow-up). In the RCT, smokers more often agreed with negative prototypes for smokers than for e-cigarette users (mean = 2.03 vs. 1.67, p < 0.05); negative prototypes at baseline were also associated with more forgoing of cigarettes and making a quit attempt at the end of the trial (Week 4 follow-up). The POTUS may be useful to public health researchers seeking to design interventions that reduce tobacco initiation or cessation through the manipulation of tobacco user prototypes.

Behavioral and neural correlates of memory suppression in PTSD.

Previous work has shown that healthy individuals can actively suppress emotional memories through recruitment of the lateral prefrontal cortex. By contrast, individuals with posttraumatic stress disorder (PTSD) frequently experience unwanted memories of their traumatic experiences, even when making explicit efforts to avoid them. However, little is known regarding the behavioral and neural effects of memory suppression among individuals with PTSD. We examined memory suppression associated with PTSD using the Think-No-Think paradigm in an event-related functional magnetic resonance imaging (fMRI) study. We studied three groups: PTSD (n = 16), trauma exposure without PTSD (n = 19), and controls (i.e., no trauma exposure or PTSD; n = 13). There was a main effect of memory suppression such that participants remembered fewer face-picture pairs during the suppress condition than the remember condition. However, trauma-exposed participants (regardless of PTSD status) were less likely to successfully suppress memory than non-trauma-exposed controls. Neuroimaging data revealed that trauma-exposed individuals showed reduced activation in the right middle frontal gyrus during memory suppression. These results suggest that trauma exposure is associated with neural and behavioral disruptions in memory suppression and point to the possibility that difficulty in active suppression of memories may be just one of several likely factors contributing to the development of PTSD.

A longitudinal study of the relationship between intimate partner violence and postpartum unsafe sex among newly diagnosed HIV-infected South African women.

HIV-positive women who engage in postpartum unsafe sex are at risk for sexually transmitted infection (STI), unintended pregnancy, and secondary transmission of HIV to uninfected partners. One factor that may increase risk for postpartum unsafe sex among HIV-positive women is intimate partner violence (IPV) victimization; few studies, however, have examined this association. This longitudinal study examined whether patterns of psychological, physical, and sexual IPV, assessed during pregnancy, predicted unsafe sex at 14 weeks postpartum among South African women diagnosed as HIV-positive during pregnancy (n = 561). In a latent class analysis, we identified three distinct patterns of IPV victimization: non-victims (74%), moderate IPV (20%), and multiform severe controlling IPV (5%). Compared to non-victims, victims of multiform severe controlling IPV were significantly more likely to engage in postpartum unsafe sex (p = .01), even after adjusting for potential confounding factors. Moderate IPV was not associated with postpartum unsafe sex. Findings support the need for targeted sexual risk reduction interventions for HIV-positive pregnant women who have experienced severe patterns of IPV.

Consequences of Involvement in Distinct Patterns of Adolescent Peer and Dating Violence.

Typological theoretical perspectives suggest that the consequences of involvement in peer and dating violence may depend on the particular pattern of violent behaviors that youth experience and/or engage in. Yet few studies have examined whether distinct patterns of dating and peer violence involvement differentially predict developmental outcomes. Using two waves of data, the current study examined the prospective associations between distinct patterns of peer and dating aggression and victimization, identified using latent class analysis, and a range of potential developmental outcomes in a general population sample of adolescents in the 8th to 10th grades (n = 3068; 46% female, 58% White, 31% Black, 11% other race/ethnicity). The findings suggest that, compared to youth involved in other patterns of violence, youth involved in peer and dating violence as aggressors and victims are at greatest risk for negative sequelae, although results differed considerably for girls and boys and on the outcome variable and comparison groups being examined.

Contextual Risk Profiles and Trajectories of Adolescent Dating Violence Perpetration.

Social ecological and developmental system perspectives suggest that interactions among factors within and across multiple contexts (e.g., neighborhood, peer, family) must be considered in explaining dating violence perpetration. Yet, to date, most extant research on dating violence has focused on individual, rather than contextual predictors, and used variable-centered approaches that fail to capture the configurations of factors that may jointly explain involvement in dating violence. The current study used a person-centered approach, latent profile analysis, to identify key configurations (or profiles) of contextual risk and protective factors for dating violence perpetration across the neighborhood, school, friend and family contexts. We then examine the longitudinal associations between these contextual risk profiles, assessed during middle school, and trajectories of psychological and physical dating violence perpetration across grades 8 through 12. Five contextual risk profiles were identified: school, neighborhood, and family risk; school and family risk; school and friend risk; school and neighborhood risk; and low risk. The highest levels of psychological and physical perpetration across grades 8 through 12 were among adolescents in the profile characterized by high levels of school, neighborhood, and family risk. Results suggest that early interventions to reduce violence exposure and increase social regulation across multiple social contexts may be effective in reducing dating violence perpetration across adolescence.