The Health and Economic Impact of Youth Violence by Injury Mechanism.

INTRODUCTION: Violence is a leading cause of morbidity and mortality among U.S. youth. More information on the health and economic burden of the most frequent assault mechanisms-or, causes (e.g., firearms, cut/pierce)-can support the development and implementation of effective public health strategies. Using nationally representative data sources, this study estimated the annual health and economic burden of U.S. youth violence by injury mechanism. METHODS: In 2023, CDC's WISQARS provided the number of homicides and nonfatal assault ED visits by injury mechanism among U.S. youth aged 10-24 years in 2020, as well as the associated average economic costs of medical care, lost work, morbidity-related reduced quality of life, and value of statistical life. The Healthcare Cost and Utilization Project Nationwide Emergency Department Sample provided supplemental nonfatal assault incidence data for comprehensive reporting by injury mechanism. RESULTS: Of the $86B estimated annual economic burden of youth homicide, $78B was caused by firearms, $4B by cut/pierce injuries, and $1B by unspecified causes. Of the $36B billion estimated economic burden of nonfatal youth violence injuries, $19B was caused by struck by/against injuries, $3B by firearm injuries, and $365M by cut/pierce injuries. CONCLUSIONS: The lethality of assault injuries affecting youth when a weapon is explicitly or likely involved is high-firearms and cut/pierce injuries combined account for nearly all youth homicides compared to one-tenth of nonfatal assault injury ED visits. There are numerous evidence-based policies, programs, and practices to reduce the number of lives lost or negatively impacted by youth violence.

FOREWORD Finding Balance in the Fight Against Gun Violence.

The United States is distinct among high-income countries for its problem with gun violence, with Americans 25 times more likely to be killed by gun homicide than people in other high-income countries.1 Suicides make up a majority of annual gun deaths - though that gap is closing as homicides are on the rise - and the U.S. accounts for 35% of global firearm suicides despite making up only 4% of the world's population.2 More concerning, gun deaths are only getting worse. In 2021, firearm fatalities approached 50,000, the highest we have seen in at least 40 years.3 The increase in homicides in conjunction with lower crime overall further suggests an problem specifically with guns.4 As devastating as these deaths are, it does not come close to encompassing the mass toll of America's gun violence epidemic - a toll that disproportionately impacts people of color, with the Black community suffering at the highest rates. A broader and more accurate view of what constitutes gun violence must become a part of the national discourse if we are going to develop effective strategies to combat this crisis.5.

Trends in Homicide Rates for US Children Aged 0 to 17 Years, 1999 to 2020.

Importance: Homicide is a leading cause of death among children in the US. Objective: To examine trends in child homicide rates and characteristics most commonly associated with these deaths. Design, Setting, and Participants: In this cross-sectional study, the study team used National Vital Statistics System WONDER mortality data for 38 362 homicide victims aged 0 to 17 years for 1999 to 2020 and National Violent Death Reporting System data for child homicide victims for 2003 to 2019 in 45 states, Washington, DC, and Puerto Rico. WONDER data are based on death certificates for US residents. National Violent Death Reporting System data include characteristics of violent deaths, linking information from death certificates, and law enforcement, coroner, and medical examiner reports. Exposures: Child homicide was defined using underlying cause-of-death codes U01 to U02, X85 to Y09, and Y87.1 from the International Classification of Diseases, Tenth Revision, Clinical Modification. Main Outcomes and Measures: Trends in homicide rates per 100 000 children were tested using joinpoint regression analysis; differences in rates from 2019 to 2020 were evaluated using z tests. Circumstances of child homicides were described. Results: This study included 38 362 homicide victims (69.4% male). The overall child homicide rate (per 100 000 children) has increased annually, on average 4.3% since 2013, with a precipitous rise from 2019 to 2020 (2019 rate, 2.2; 2020 rate, 2.8; overall increase of 27.7%). Homicide rates recently increased significantly for boys (2018 rate, 2.9; 2020 rate, 4.1; overall increase of 16.1%), 6- to 10-year-olds (2014 rate, 0.5; 2020 rate, 0.8; overall increase of 5.6%), 11- to 15-year-olds (2018 rate, 1.3; 2020 rate, 2.2; overall increase of 26.9%), 16- to 17-year-olds (2018 rate, 6.6; 2020 rate, 10.0; overall increase of 19.0%), Black children (2012 rate, 5.9; 2018 rate, 6.8; 2020 rate, 9.9; overall increase of 16.6% from 2018 to 2020), Hispanic children (2014 rate, 1.6; 2020 rate, 2.2; overall increase of 4.7%), children in the South (2013 rate, 2.1; 2020 rate, 3.5; overall increase of 6.4%), and in rural (2011 rate, 1.8; 2020 rate, 2.4; overall increase of 3.2%) and urban areas (2013 rate, 1.9; 2020 rate, 2.9; overall increase of 4.4%). Since 1999, homicide rates have decreased for girls (1999 rate, 1.9; 2020 rate, 1.5; overall decrease of 1.4%), infants (1999 rate, 8.7; 2020 rate, 6.6; overall decrease of 1.3%), 1- to 5-year-olds (1999 rate, 2.1; 2020 rate, 1.8; overall decrease of 1.0%), Asian or Pacific Islander children (1999 rate, 2.0; 2020 rate, 0.5; overall decrease of 4.4%), White children (1999 rate, 1.5; 2020 rate, 1.3; overall decrease of 0.7%), and children in the Northeast (1999 rate, 2.0; 2020 rate, 1.7; overall decrease of 1.4%). Homicides of children 10 years or younger were most commonly precipitated by abuse/neglect, perpetrated by parents/caregivers. Homicides of 11- to 17-year-olds were most commonly precipitated by crime and arguments and perpetrated by someone known to them, especially friends and acquaintances. Conclusions and Relevance: The decline in homicide rates for some geographic and child demographic groups is encouraging; however, rates recently increased across several subpopulations, with some racial and ethnic disparities persisting for more than 20 years. More targeted strategies are needed to (1) protect 6- to 10-year-olds, 11- to 17-year-olds, and children in certain geographic areas and (2) urgently address firearm violence, racism, and inequities at the root of youth violence.

Race, structural racism and racial disparities in firearm homicide victimisation.

OBJECTIVES: To identify an approach in measuring the association between structural racism and racial disparities in firearm homicide victimisation focusing on racism, rather than race. METHODS: We examined associations of six measures of structural racism (Black/white disparity ratios in poverty, education, labour force participation, rental housing, single-parent households and index crime arrests) with state-level Black-white disparities in US age-adjusted firearm homicide victimisation rates 2010-2019. We regressed firearm homicide victimisation disparities on four specifications of independent variables: (1) absolute measure only; (2) absolute measure and per cent Black; (3) absolute measure and Black-white disparity ratio and (4) absolute measure, per cent Black and disparity ratio. RESULTS: For all six measures of structural racism the optimal specification included the absolute measure and Black-white disparity ratio and did not include per cent Black. Coefficients for the Black-white disparity were statistically significant, while per cent Black was not. CONCLUSIONS: In the presence of structural racism measures, the inclusion of per cent Black did not contribute to the explanation of firearm homicide disparities in this study. Findings provide empiric evidence for the preferred use of structural racism measures instead of race.

Homicídios juvenis em Fortaleza: questões para a estratégia saúde da família / Youth homicides in Fortaleza: issues for the family health strategy

Esse artigo analisa como a violência urbana é tratada por profissionais de equipes da Estratégia Saúde da Família da cidade de Fortaleza-CE, problematizando os efeitos da intensificação dos homicídios nos cotidianos desses profissionais. O estudo é fruto de um desdobramento de uma pesquisa-inter(in)venção, sob o método da cartografia, que analisou práticas institucionais em torno da problemática dos homicídios infanto-juvenis em territórios de uma periferia da capital cearense. A discussão foi feita a partir de articulações da Psicologia Social com autores e autoras de áreas afins que seguem caminhos semelhantes no trato das juventudes e das expressões da violência. Os dados foram produzidos por observações no cotidiano, conversas no território, grupos de discussões e entrevistas. A seção de resultados e discussão aborda: o desafio de compreender o fenômeno da violência como lócus de ação-reflexão-ação, demandando práticas comunitárias e intersetoriais em torno de uma nova agenda no âmbito das políticas públicas de saúde.

This article analyzes how urban violence is treated by professionals from the Family Health Strategy teams in the city of Fortaleza-CE, problematizing the effects of the intensification of homicides in the daily lives of these professionals. The study is the result of an inter(in)vention-research, using the cartography method, which analyzed institutional practices around the issue of juvenile homicides in territories on the outskirts of the capital of Ceará. The discussion was based on the articulation of Social Psychology with authors from related fields who follow similar paths in dealing with youth and the expressions of violence. Data were produced by observations in daily life, conversations in the territory, discussion groups and interviews. The results and discussion section addresses: the challenge of understanding the phenomenon of violence as a locus of action-reflection-action, demanding community and intersectoral practices around a new agenda in the scope of public health policies.

Association of County-Level Poverty and Inequities With Firearm-Related Mortality in US Youth.

Importance: Youth firearm-related deaths are a public health crisis in the US. The association between county-level poverty and the risk of firearm-related deaths among youth is unknown, however. Objective: To examine the association between county-level poverty concentration and firearm-related mortality rates in US youth. Design, Setting, and Participants: This cross-sectional study analyzed US firearm fatalities in children and young adults aged 5 to 24 years that occurred between January 1, 2007, and December 31, 2016. Data were obtained from the Centers for Disease Control and Prevention's Compressed Mortality File, and annual intercensal county population data were obtained from the US Census Bureau. Data analyses were conducted between November 1, 2019, and June 30, 2020. Exposures: County-level poverty was categorized into 5 groups: 0% to 4.9%, 5% to 9.9%, 10% to 14.9%, 15% to 19.9%, and ≥20% of the population living below the federal poverty level. Main Outcomes and Measures: The main outcomes were firearm-related deaths in total and by specific intent (homicide, suicide, and unintentional) per 100 000 youths over the entire study period. Multivariable negative binomial regression models were used to analyze the association between firearm-related mortality rates and county poverty concentration, controlling for demographic variables, urbanicity, and statewide firearm prevalence. Adjusted incidence rate ratios (IRRs) were calculated, and statewide firearm prevalence was estimated. The population-attributable fraction (PAF) and years of potential life lost for each intent were calculated. Results: A total of 67 905 firearm-related deaths among youth (predominantly composed of 60 164 male individuals [88.6%]) from 2007 to 2016 were analyzed. Of these deaths, 42 512 were homicides (62.6%), 23 034 were suicides (33.9%), and 1627 were unintentional (2.4%). Firearm-related mortality risk increased in a stepwise manner with increasing county poverty concentration. Compared with counties with the lowest poverty concentration, counties with the highest poverty concentration had an increased rate of total firearm-related deaths (adjusted IRR, 2.29; 95% CI, 1.96-2.67), homicides (adjusted IRR, 3.55; 95% CI, 2.80-4.51), suicides (adjusted IRR, 1.45; 95% CI, 1.20-1.75), and unintentional deaths (adjusted IRR, 9.32; 95% CI, 2.32-37.4). The PAF was 0.51 (95% CI, 0.43-0.57) for all firearm-related deaths, 0.66 (95% CI, 0.57-0.73) for homicides, 0.30 (95% CI, 0.17-0.42) for suicides, and 0.86 (95% CI, 0.46-0.97) for unintentional deaths. This calculation translated to 34 292 firearm-related deaths that would not have occurred if all counties had the same risk as counties with the lowest poverty concentration. A total of 3 833 105 years of potential life lost was observed. Conclusions and Relevance: This study found an association between firearm-related mortality rates among youth and county-level poverty concentration. With more than half of firearm-related deaths and two-thirds of firearm-related homicides potentially associated with living in an area with a high concentration of poverty, a multidimensional strategy to reduce poverty and firearm-related deaths is urgently needed.

Neighborhood Racial and Economic Segregation and Disparities in Violence During the COVID-19 Pandemic.

Objectives. To describe associations between neighborhood racial and economic segregation and violence during the COVID-19 pandemic. Methods. For 13 US cities, we obtained zip code-level data on 5 violence outcomes from March through July 2018 through 2020. Using negative binomial regressions and marginal contrasts, we estimated differences between quintiles of racial, economic, and racialized economic segregation using the Index of Concentration at the Extremes as a measure of neighborhood privilege (1) in 2020 and (2) relative to 2018 through 2019 (difference-in-differences). Results. In 2020, violence was higher in less-privileged neighborhoods than in the most privileged. For example, if all zip codes were in the least privileged versus most privileged quintile of racialized economic segregation, we estimated 146.2 additional aggravated assaults (95% confidence interval = 112.4, 205.8) per zip code on average across cities. Differences over time in less-privileged zip codes were greater than differences over time in the most privileged for firearm violence, aggravated assault, and homicide. Conclusions. Marginalized communities endure endemically high levels of violence. The events of 2020 exacerbated disparities in several forms of violence. Public Health Implications. To reduce violence and related disparities, immediate and long-term investments in low-income neighborhoods of color are warranted. (Am J Public Health. 2022;112(1):144-153. https://doi.org/10.2105/AJPH.2021.306540).

Mortality and Cause of Death Among Youths Previously Incarcerated in the Juvenile Legal System.

Importance: More than 50 000 youths are incarcerated in the United States on any given day, and youth incarceration has been linked to lasting adverse outcomes, including early mortality. Improving our understanding of the factors associated with early mortality among incarcerated youths can inform appropriate prevention strategies. Objective: To examine mortality rates and causes of death among youths previously incarcerated in the juvenile legal system. Design, Setting, and Participants: This retrospective longitudinal population-based cohort study compared mortality rates between youths aged 11 to 21 years incarcerated from 2010 to 2017 with same-aged nonincarcerated Medicaid-enrolled youths in the state of Ohio. Data from January 2017 to December 2019 were collected from juvenile incarceration, Medicaid, and death certificate information in Ohio. Exposure: Incarceration in the state of Ohio's juvenile legal system. Main Outcomes and Measures: Number, characteristics, and causes of deaths. Poisson regression incidence rate ratios (IRRs) compared mortality rates between previously incarcerated and Medicaid-enrolled youths. Results: Among 3645 incarcerated youths, 3398 (93.2%) were male, 2155 (59.1%) Black, 1307 (35.9%) White, and 183 (5.0%) other race and ethnicity. Overall, 113 youths (3.1%) died during the study period. Homicide was the leading cause of death in formerly incarcerated youths (homicide: 63 [55.8%]; legal intervention [ie, death due to injuries inflicted by law enforcement]: 3 [2.7%]). All-cause mortality rates were significantly higher among previously incarcerated youths than Medicaid-enrolled youths (adjusted IRR [aIRR], 5.91; 95% CI, 4.90-7.13) in every demographic subgroup. Compared with Medicaid-enrolled youths, mortality rates for previously incarcerated youths were highest for homicide (aIRR, 11.02; 95% CI, 8.54-14.22), overdose (aIRR, 4.32; 95% CI, 2.59-7.20), and suicide (aIRR, 4.30; 95% CI, 2.22-8.33). Formerly incarcerated Black youths had a significantly higher risk of homicide (aIRR, 14.24; 95% CI, 4.45-45.63) but a lower risk of suicide (aIRR, 0.18; 95% CI, 0.04-0.89) and overdose (aIRR, 0.31; 95% CI, 0.10-0.99) than White youths who were incarcerated. Previously incarcerated youths aged 15 to 21 years were significantly more likely to die than youths aged 22 to 29 years, irrespective of cause of death (aIRR for youths aged 22-29 years, 0.09; 95% CI, 0.06-0.14). Conclusions and Relevance: In this study, youths with a history of incarceration were significantly more likely to experience early mortality compared with nonincarcerated Medicaid-enrolled youths. Delinquency and violence prevention strategies that incorporate a culturally informed approach and consider sex and developmental level are critical.

Homicidios de niñas, niños y adolescentes en el sureste de México, entre 2000 y 2017 / Homicides in children and adolescents in Southeast Mexico, between 2000 and 2017

Resumen Introducción: México atraviesa por un contexto de violencia creciente que incluye el aumento de homicidios y feminicidios a lo largo del territorio nacional. Los estudios existentes presentan vacíos de corte regional y de grupos de edad, en particular, el de 0 a 17 años. El objetivo de este artículo es describir el impacto de la mortalidad por homicidios sobre la población de 0 a 17 años en el sureste mexicano, una de las regiones más sacrificadas en materia de derechos humanos y bienestar social. Metodología: mediante las estadísticas de mortalidad general del Instituto Nacional de Estadística y Geografía, se calcularon las tasas brutas de mortalidad y las tasas específicas por sexo y grupos de edad correspondientes al período 2000-2017. Se estimó el promedio de Años de Vida Perdidos. El tipo de estudio es descriptivo y analiza el efecto de los homicidios en la tendencia de la mortalidad y la esperanza de vida. Resultados: los resultados mostraron que el más alto porcentaje de homicidios lo obtuvieron los hombres de todos los grupos etarios. En términos del promedio de AVP, las mujeres adolescentes del conjunto de 12 a 17 años evidenciaron los mayores incrementos. Conclusiones: las tasas de mortalidad por homicidio se comportaron heterogéneamente; resalta la vigencia y aumento de ataques letales contra niñas, niños y, especialmente, adolescentes.

Abstract Introduction: Mexico is currently facing a context of raising violence that includes the increase of homicides and feminicides in the nation-wide territory. The existent studies present certain gaps regarding regional and age groups information. In particular, those gaps are relevant for population from 0 to 17 years old. That is why this article aims to describe the mortality impacts by means of homicides among that age group in Southeast Mexico. This region is one of the most abandoned in terms of Human Rights and Social Well-Being. Methodology: The article uses the general mortality statistics of the National Institute of Statistics and Geography to calculate the gross mortality rates as well as the specific rates by age and sex groups from 2000 to 2017. Likewise, the average years of life lost are calculated. The study is descriptive and analyzes the impact of homicides within the trend of mortality and life expectancy. Results: A main result shows to the highest percentage of homicides occur among men. However, in terms of the average number of YLL and for the age group 12 to 17 years the largest increases occur among adolescent women. Conclusions: The Southeast region of Mexico presents heterogeneous behavior in homicide mortality rates for the age group 0 to 17 years, highlights the validity and increase of lethal violence against girls, boys and particularly adolescents.

Fatal police violence by race and state in the USA, 1980-2019: a network meta-regression.

BACKGROUND: The burden of fatal police violence is an urgent public health crisis in the USA. Mounting evidence shows that deaths at the hands of the police disproportionately impact people of certain races and ethnicities, pointing to systemic racism in policing. Recent high-profile killings by police in the USA have prompted calls for more extensive and public data reporting on police violence. This study examines the presence and extent of under-reporting of police violence in US Government-run vital registration data, offers a method for correcting under-reporting in these datasets, and presents revised estimates of deaths due to police violence in the USA. METHODS: We compared data from the USA National Vital Statistics System (NVSS) to three non-governmental, open-source databases on police violence: Fatal Encounters, Mapping Police Violence, and The Counted. We extracted and standardised the age, sex, US state of death registration, year of death, and race and ethnicity (non-Hispanic White, non-Hispanic Black, non-Hispanic of other races, and Hispanic of any race) of each decedent for all data sources and used a network meta-regression to quantify the rate of under-reporting within the NVSS. Using these rates to inform correction factors, we provide adjusted estimates of deaths due to police violence for all states, ages, sexes, and racial and ethnic groups from 1980 to 2019 across the USA. FINDINGS: Across all races and states in the USA, we estimate 30 800 deaths (95% uncertainty interval [UI] 30 300-31 300) from police violence between 1980 and 2018; this represents 17 100 more deaths (16 600-17 600) than reported by the NVSS. Over this time period, the age-standardised mortality rate due to police violence was highest in non-Hispanic Black people (0·69 [95% UI 0·67-0·71] per 100 000), followed by Hispanic people of any race (0·35 [0·34-0·36]), non-Hispanic White people (0·20 [0·19-0·20]), and non-Hispanic people of other races (0·15 [0·14- 0·16]). This variation is further affected by the decedent's sex and shows large discrepancies between states. Between 1980 and 2018, the NVSS did not report 55·5% (54·8-56·2) of all deaths attributable to police violence. When aggregating all races, the age-standardised mortality rate due to police violence was 0·25 (0·24-0·26) per 100 000 in the 1980s and 0·34 (0·34-0·35) per 100 000 in the 2010s, an increase of 38·4% (32·4-45·1) over the period of study. INTERPRETATION: We found that more than half of all deaths due to police violence that we estimated in the USA from 1980 to 2018 were unreported in the NVSS. Compounding this, we found substantial differences in the age-standardised mortality rate due to police violence over time and by racial and ethnic groups within the USA. Proven public health intervention strategies are needed to address these systematic biases. State-level estimates allow for appropriate targeting of these strategies to address police violence and improve its reporting. FUNDING: Bill & Melinda Gates Foundation, National Institute on Minority Health and Health Disparities, and National Heart, Lung, and Blood Institute.

Socio-demographic and psychosocial characteristics of male and female perpetrators in intimate partner homicide: A case-control study from Region Västra Götaland, Sweden.

Risk factor studies on male-perpetrated intimate partner homicide (IPH) are often compared with studies on intimate partner violence (IPV) or non-partner homicide perpetrators. This not only excludes female perpetrators, but also fails to take socio-demographic and psychosocial differences between perpetrators and the general population into consideration. The aim of this study was to examine male- and female-perpetrated IPH cases, and to compare socio-demographic factors in IPH perpetrators and in matched controls from the general population. Data were retrieved from preliminary inquiries, court records and national registers for 48 men and 10 women, who were perpetrators of IPH committed in 2000-2016 and residing in Region Västra Götaland, Sweden. The control group consisted of 480 men and 100 women matched for age, sex and residence parish. Logistic regression, yielding odds ratios (OR) with 95% confidence intervals (CI), was performed for male perpetrators and male controls to investigate associations for selected socio-demographic and psychosocial characteristics. This was not performed for females due to the small sample size. Female perpetrators were convicted of murder to a lesser extent than male perpetrators. No woman was sentenced to life imprisonment while five men were. Jealousy and separation were the most common motivational factors for male perpetration while the predominant factor for female perpetrators was subjection to IPV. Statistically significant differences were found between male perpetrators and male controls in unemployment rate (n = 47.9%/20.6%; OR 4.4; 95% CI 2.2-8.6), receiving benefits (n = 20.8%/4.8%; OR 5.2; 95% CI 2.3-11.7) and annual disposable income (n = 43.8%/23.3% low income; OR 5.2; 95% CI 1.9-14.2) one year prior to the crime. Female IPH perpetrators were less educated than female controls (≤ 9-year education 30%/12%) and were more often unemployed (70%/23%) one year before the crime. Male and female IPH perpetrators were socio-economically disadvantaged, compared with controls from the general population.

Gun Violence and Firearm Injuries in West Michigan: Targeting Prevention.

INTRODUCTION: Firearm-related deaths and injuries are ongoing public health issues in the United States. We reviewed a series of gun violence- and firearm-related injuries treated at a multi-campus community healthcare system in West Michigan to better understand the demographic and clinical characteristics of these injuries. We also studied hospital charges, and payers responsible, in an effort to identify stakeholders and opportunities for community- and hospital-based prevention. METHODS: We performed a retrospective review of firearm injuries treated at Mercy Health Muskegon (MHM) between May 1, 2015 and June 30, 2019. Demographic data, injury type, Injury Severity Score (ISS), anatomic location and organ systems involved, length of stay (LOS), mortality, time of year, and ZIP code in which the injury occurred were reviewed, as were hospital charges and payers responsible. RESULTS: Of those reviewed, 307 firearm-related injuries met inclusion criteria for the study. In 69.4% of cases the injury type was attempted murder or intent to do bodily harm. Accidental and self-inflicted injuries accounted for 25% of cases. There was a statistically significant difference in the mechanism of injury between Black and White patients with a higher proportion of Black men injured due to gun violence (P < 0.001). Median ISS was 8 and the most commonly injured organ system was musculoskeletal. Median LOS was one day. Self-inflicted firearm injuries had the highest rate of mortality (50%) followed by attempted murder (7%) and accidental discharge (3.1%; P < 0.001). Median hospital charge was $8,008. In 68% of cases, Medicaid was the payer. MHM received $4.98 million dollars in reimbursement from Medicaid; however, when direct and indirect costs were taken into account, a loss of $12,648 was observed. CONCLUSION: Findings from this study reveal that young, Black men are the primary victims of gun violence-related injuries in our West Michigan service area. Hospital care of firearm-related injuries at MHM was predominantly paid for by Medicaid. Multiple stakeholders stand to benefit from funding and supporting community- and hospital-based prevention programs designed to reduce gun violence and firearm-related injuries in our service area.

"The devil is in the detail": geographical inequalities of femicides in Ecuador.

BACKGROUND: Femicide is a very important public health problem in Ecuador. Since regional and country-level femicide rates can obscure significant variations at the sub-national level, it is important to provide information at the lowest relevant level of disaggregation to be able to develop targeted preventive policies. The aim of this study was to assess the spatial distribution of the femicide rate and to examine its spatial clustering at the canton level in Ecuador in the period 2018-2019. METHODS: Data on cases were collected by a national network of non-governmental organizations. Two age-disaggregated analyses were done, one for the 15 to 24 years-olds and the other for the female population of 15 and older. Age-specific population data were obtained from the National Institute of Statistics for the study period. Standardized mortality ratios for mapping the mortality were calculated using hierarchical Bayesian models and spatial scan statistics were applied to identify local clusters. Thematic maps of age-specific femicide rates were also constructed. RESULTS: During the two-year period, 61 and 183 women were killed in the age ranges 15-24 and 15 years and older, respectively. The annual rate of femicides in Ecuador was 1.0 and 0.8 per 100,000 in the female population aged 15-24 and 15+, respectively, with substantial variations among cantons. The spatial analysis contributed to visualize high risk cantons, which were mainly located in a small area in the central part of the country (for those 15+) but especially in the Amazon region, for both of the studied age groups. CONCLUSIONS: This study has shown the usefulness of applying spatial analysis to the problem of femicides in Ecuador. The study has revealed important variations among cantons but also a spatial clustering, mainly in the Amazon region of the country. The results should help policymakers to focus on current prevention programmes for violence against women into these high-risk areas. Continuous monitoring of femicides at low-level geographical areas is highly recommended.

Examining homicides and suicides cross-nationally: Economic factors, guns and video games.

Understanding why different nations have different homicide and suicide rates has been of interest to scholars, policy makers and the general public for years. Multiple theories have been offered, related to the economy, presence of guns and even exposure to violence in video games. In the current study, several factors were considered in combination across a sample of 92 countries. These included income inequality (Gini index), Human Capital Index (education and employment), per capita gun ownership and per capita expenditure on video games. Results suggest that economic factors primarily were related to homicide and suicide cross-nationally. Video game consumption was not a major indicative factor (other than a small negative relationship with homicides). More surprisingly, per capita gun ownership was not an indicator factor cross-nationally. The results suggest that a focus on economic factors and income inequality are most likely to bear fruit regarding reduction of violence and suicide.

Executions and Police Conflicts Involving Children, Adolescents and Young Adults.

Police violence in the United States represents a pressing public health crisis impacting youth, particularly youth of color. This article reviews the recent epidemiology of police executions and conflicts involving children, adolescents, and young adults. The roles of social determinants of health and centuries-long history of white supremacy and racism as root causes of adverse policing are emphasized. The article summarizes the evidence as to how direct and vicarious experiences of police violence impact youth academic, behavioral, and health outcomes. Recommendations are provided for pediatricians to address this public health crisis through clinical practice, education, advocacy, and research.

Effects of Laws Expanding Civilian Rights to Use Deadly Force in Self-Defense on Violence and Crime: A Systematic Review.

Background. Since 2005, most US states have expanded civilian rights to use deadly force in self-defense outside the home. In most cases, legislation has included removing the duty to retreat anywhere one may legally be, commonly known as stand-your-ground laws. The extent to which these laws affect public health and safety is widely debated in public and policy discourse.Objectives. To synthesize the available evidence on the impacts and social inequities associated with changing civilian rights to use deadly force in self-defense on violence, injury, crime, and firearm-related outcomes.Search Methods. We searched MEDLINE, Embase, PsycINFO, Scopus, Web of Science, Sociological Abstracts, National Criminal Justice Reference Service Abstracts, Education Resources Information Center, International Bibliography of the Social Sciences, ProQuest Dissertations and Theses, Google Scholar, National Bureau of Economic Research working papers, and SocArXiv; harvested references of included studies; and consulted with experts to identify studies until April 2020.Selection Criteria. Eligible studies quantitatively estimated the association between laws that expanded or restricted the right to use deadly force in self-defense and population or subgroup outcomes among civilians with a comparator.Data Collection and Analysis. Two reviewers extracted study data using a common form. We assessed study quality using the Risk of Bias in Nonrandomized Studies of Interventions tools adapted for (controlled) before-after studies. To account for data dependencies, we conducted graphical syntheses (forest plots and harvest plots) to summarize the evidence on impacts and inequities associated with changing self-defense laws.Main Results. We identified 25 studies that estimated population-level impacts of laws expanding civilian rights to use deadly force in self-defense, all of which focused on stand-your-ground or other expansions to self-defense laws in the United States. Studies were scored as having serious or critical risk of bias attributable to confounding. Risk of bias was low across most other domains (i.e., selection, missing data, outcome, and reporting biases). Stand-your-ground laws were associated with no change to small increases in violent crime (total and firearm homicide, aggravated assault, robbery) on average across states. Florida-based studies showed robust increases (24% to 45%) in firearm and total homicide while self-defense claims under stand-your-ground law were more often denied when victims were White, especially when claimants were racial minorities.Author's Conclusions. The existing evidence contradicts claims that expanding self-defense laws deters violent crime across the United States. In at least some contexts, including Florida, stand-your-ground laws are associated with increases in violence, and there are racial inequities in the application of these laws.Public Health Implications. In some US states, most notably Florida, stand-your-ground laws may have harmed public health and safety and exacerbated social inequities. Our findings highlight the need for scientific evidence on both population and equity impacts of self-defense laws to guide legislative action that promotes public health and safety for all.Trial Registration. Open Science Framework (https://osf.io/uz68e).

Disparities in potential years of life lost due to intimate partner violence: Data from 16 states for 2006-2015.

BACKGROUND: Intimate partner violence can lead to deaths of one or both partners and others (i.e., corollary victims). Prior studies do not enumerate the societal cost of intimate partner violence-related fatalities, exclude corollary victims from most analyses, and do not describe groups who bear the highest societal costs from intimate partner violence. OBJECTIVE: We examine racial/ethnic and gender-based disparities in potential years of life lost (PYLL) among intimate partners and corollary victims of intimate partner violence-related mortality. METHODS: We used 16 US states' 2006-2015 National Violent Death Reporting System data to estimate PYLL among intimate partners (n = 6,282) and corollary victims (n = 1,634) by victims' race/ethnicity and sex. We describe fatalities by sex, race/ethnicity, age, and victim-suspect relationships and used hierarchical linear models to examine PYLL per death differences by victims' sex and race/ethnicity. RESULTS: Nearly 290,000 years of potential life were lost by partner and corollary victims as a result of IPV in 16 states during the decade of study. Most partner victims were female (59%); most corollary victims were male (76%). Female intimate partners died 5.1 years earlier (95% CI: 4.4., 5.9) than males, and female corollary victims died 3.6 years (1.9, 5.5) earlier than males. Racial/ethnic minorities died nine or more years earlier than their White counterparts. White males had the lowest PYLL per death of all sex/race groups. IMPLICATIONS: Intimate partner violence-related fatalities exact a high societal cost, and the burden of that cost is disproportionately high among racial/ethnic minorities. Future interventions targeting specific sex and race/ethnic groups might help reduce disparities in intimate partner violence burden.

Finding the elusive trauma denominator: Feasibility of combining data sets to quantify the true burden of firearm trauma.

BACKGROUND: Evidence guiding firearm injury prevention is limited by current data collection infrastructure. Trauma registries (TR) omit prehospital deaths and underestimate the burden of injury. In contrast, the National Violent Death Reporting System (NVDRS) tracks all firearm deaths including prehospital fatalities, excluding survivors. This is a feasibility study to link these data sets through collaboration with our state public health department, aiming to better estimate the burden of firearm injury and assess comparability of data. METHODS: We reviewed all firearm injuries in our Level I TR from 2011 to 2017. We provided the public health department with in-hospital deaths, which they linked to NVDRS using patient identifiers and time of injury/death. The NVDRS collates information about circumstances, incident type, and wounding patterns from multiple sources including death certificates, autopsy records, and legal proceedings. We considered only subjects with injury location in a single urban county to best estimate in-hospital and prehospital mortality. RESULTS: Of 168 TR deaths, 166 (99%) matched to NVDRS records. Based on data linkages, we estimate 320 prehospital deaths, 184 in-hospital deaths, and 453 survivors for a total of 957 firearm injuries. For the matched patients, there was near-complete agreement regarding simple demographic variables (e.g., age and sex) and good concordance between incident types (suicide, homicide, etc.). However, agreement in wounding patterns between NVDRS and TR varied. CONCLUSION: We demonstrate the feasibility of linking TR and NVDRS data with good concordance for many variables, allowing for good estimation of the trauma denominator. Standardized data collection methods in one data set could improve methods used by the other, for example, training NVDRS abstractors to utilize Abbreviated Injury Scale designations for injury patterns. Such data integration holds immediate promise for guiding prevention strategies. LEVEL OF EVIDENCE: Epidemiological study, level IV.