BACKGROUND:Firearm suicides constitute a major public health issue. Policies that enhance economic security and decrease community-level poverty may be effective strategies for reducing risk of firearm suicide. This study examined the association between state minimum wage and firearm suicide. METHODS:State minimum wage, obtained from Temple's Law Atlas and augmented by legal research, was conceptualised using the modified Kaitz Index and a continuous variable centred on the federal minimum wage. State-level suicide 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 suicides, stratifying by demographic groups. Analyses were conducted in 2023. RESULTS:A one percentage point increase in a state's modified Kaitz Index was associated with a 0.3% (95% CI -0.6% to -0.0%) decrease in firearm suicides within a state. A US$1.00 increase in a state's minimum wage above the federal minimum wage was associated with a 1.4% (95% CI -2.1% to -0.6%) decrease in firearm suicides. When stratified by quartile of firearm ownership, the modified Kaitz Index was associated with decreases in firearm suicides most consistently in the two lowest quartiles. CONCLUSION:Increasing a state's minimum wage may be a policy option to consider as part of a comprehensive approach to reducing firearm suicides. These findings expand the evidence base for how economic policies may be leveraged to reduce firearm suicides.

The 2021 expansion of the U.S. Child Tax Credit (CTC) under the American Rescue Plan introduced monthly advance payments to eligible families, offering a novel and regular source of financial support during the COVID-19 pandemic. Prior research links economic hardship with increased risk of intimate partner violence (IPV), and income support policies have shown mixed effects on IPV. However, no studies to date have examined the association between the advance CTC payments and IPV trends in the U.S. Using data from the U.S. National Domestic Violence Hotline (the “Hotline”), an interrupted time series (ITS) design was employed to evaluate the association between advance CTC payments and daily contacts to the Hotline by adult survivors of IPV between January 1, 2018–December 31, 2022. The start of the advance CTC payments was associated with an immediate 18

BackgroundEmpirical 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.ObjectiveWe 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.ParticipantsThe 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.MethodsThis study used regression trees and generalized linear models to identify if/which expanded ACEs interacted with original ACEs in association with six health outcomes.ResultsFour 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).ConclusionsThis 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.

BackgroundChildren 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.MethodsA 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.ResultsThe 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.ConclusionThese 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.

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.

Intimate partner violence (IPV) exposure in childhood is common, with impacts on lifespan well-being. However, there are knowledge gaps about needs and barriers to services for IPV survivors with children. We analyzed data from adults aged ≥ 19 years who resided in the U.S., were experiencing IPV, and who contacted the National Domestic Violence Hotline from 1/1/ 2017–12/31/2021 (N = 599,207). Adjusted prevalence ratios (aPRs) and 95

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.

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).

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 year, 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.

Intimate partner violence (IPV) is challenging to measure yet systematic surveillance of IPV is critical to informing public health prevention and response efforts. Administrative medical data provide opportunities for such surveillance, and often use the International Classification of Diseases (ICD). The primary purpose of this systematic review was to document which ICD codes have been used in empirical literature to identify IPV, understand the justification used to select specific codes to develop IPV case definitions, and identify the data sources and types of research questions addressed by the existing literature. We searched 11 databases and of the initial 2182 results, 21 empirical studies from 2000 to 2020 met the study inclusion criteria including using ICD codes to measure IPV. The majority of these studies (90.5%) used either national samples of data or population-based administrative data from emergency departments (52.4%) or inpatient hospitalizations (38.1%). We found wide variation of ICD diagnostic codes to measure IPV and categorized the sets of codes used based on the number of codes. The most commonly used ICD-9 codes were E967.3, 995.81, 995.80, 995.85 and the most common ICD-10 codes were T74.1 and Z63.0. Few studies validated the ICD codes used to measure IPV. Most included studies (81.0%) answered epidemiological research questions. The current study provides suggestions for future research, including justifying the selection of ICD codes and providing a range of estimates based on narrow and broad sets of codes. Implications for policy and practice, including enhanced training for healthcare professionals in documenting IPV, are discussed.

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.

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.

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.

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.

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.

Heightened stress, school closures, loss of income, and social isolation resulting from the coronavirus disease 2019 (COVID-19) pandemic have increased the risk for child abuse and neglect (1). Using National Syndromic Surveillance Program (NSSP) data from January 6, 2019-September 6, 2020, CDC tabulated weekly numbers of emergency department (ED) visits related to child abuse and neglect and calculated the proportions of such visits per 100,000 ED visits, as well as the percentage of suspected or confirmed ED visits related to child abuse and neglect ending in hospitalization, overall and stratified by age group (0-4, 5-11, and 12-17 years). The total number of ED visits related to child abuse and neglect began decreasing below the corresponding 2019 period during week 11 (March 15-March 22, 2020) for all age groups examined, coinciding with the declaration of a national emergency on March 13 (2); simultaneously, the proportion of these visits per 100,000 ED visits began increasing above the 2019 baseline for all age groups. Despite decreases in the weekly number of ED visits related to child abuse and neglect, the weekly number of these visits resulting in hospitalization remained stable in 2020; however, the yearly percentage of ED visits related to child abuse and neglect resulting in hospitalization increased significantly among all age groups. Although the increased proportion of ED visits related to child abuse and neglect might be associated with a decrease in the overall number of ED visits, these findings also suggest that health care-seeking patterns have shifted during the pandemic. Hospitalizations for child abuse and neglect did not decrease in 2020, suggesting that injury severity did not decrease during the pandemic, despite decreased ED visits. Child abuse is preventable; implementation of strategies including strengthening household economic supports and creating family-friendly work policies can reduce stress during difficult times and increase children's opportunities to thrive in safe, stable, and nurturing relationships and environments (3).

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.

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.