Surveillance for violent deaths – National Violent Death Reporting System, 16 States, 2009
ABSTRACT Problem/Condition: An estimated 50,000 persons die annually in the United States as a result of violence-related injuries. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) regarding violent deaths from 16 U.S. states for 2009. Results are reported by sex, age group, race/ethnicity, marital status, location of injury, method of injury, circumstances of injury, and other selected characteristics. Reporting Period Covered: 2009. Description of System: NVDRS collects data regarding violent deaths obtained from death certificates, coroner/medical examiner reports, and law enforcement reports. NVDRS data collection began in 2003 with seven states (Alaska, Maryland, Massachusetts, New Jersey, Oregon, South Carolina, and Virginia) participating; six states (Colorado, Georgia, North Carolina, Oklahoma, Rhode Island, and Wisconsin) joined in 2004, four (California, Kentucky, New Mexico, and Utah) in 2005, and two (Ohio and Michigan) in 2010, for a total of 19 states. This report includes data from 16 states that collected statewide data in 2009. California is excluded because data were collected in only four counties. Ohio and Michigan are excluded because data collection did not begin until 2010. Results: For 2009, a total of 15,981 fatal incidents involving 16,418 deaths were captured by NVDRS in the 16 states included in this report. The majority (60.6%) of deaths were suicides, followed by homicides and deaths involving legal intervention (i.e., deaths caused by police and other persons with legal authority to use deadly force, excluding legal executions) (24.7%), deaths of undetermined intent (14.2%), and unintentional firearm deaths (0.5%). Suicides occurred at higher rates among males, non-Hispanic whites, American Indians/Alaska Natives, and persons aged 45-54 years. Suicides occurred most often in a house or apartment and involved the use of firearms. Suicides were preceded primarily by mental health, intimate partner, or physical health problems or by a crisis during the previous 2 weeks. Homicides occurred at higher rates among males and persons aged 20-24 years; rates were highest among non-Hispanic black males. The majority of homicides involved the use of a firearm and occurred in a house or apartment or on a street/highway. Homicides were preceded primarily by arguments and interpersonal conflicts or in conjunction with another crime. Characteristics associated with other manners of death, circumstances preceding death, and special populations also are highlighted in this report. Interpretation: This report provides a detailed summary of data from NVDRS for 2009. The results indicate that violent deaths resulting from self-inflicted or interpersonal violence disproportionately affected adults aged <55 years, males, and certain racial/ethnic minority populations. For homicides and suicides, relationship problems, interpersonal conflicts, mental health problems, and recent crises were among the primary factors that might have precipitated the fatal injuries. Because additional information might be reported subsequently as participating states update their findings, the data provided in this report are preliminary. Public Health Action: For the occurrence of violent deaths in the United States to be better understood and ultimately prevented, accurate, timely, and comprehensive surveillance data are necessary. NVDRS data can be used to monitor the occurrence of violence-related fatal injuries and assist public health authorities in the development, implementation, and evaluation of programs and policies to reduce and prevent violent deaths at the national, state, and local levels. The continued development and expansion of NVDRS is essential to CDC's efforts to reduce the personal, familial, and societal costs of violence. Additional efforts are needed to increase the number of states participating in NVDRS, with an ultimate goal of full national representation.
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ABSTRACT: Objective: Exposure to violence threatens the health and well-being of American Indian and Alaska Native (AI/AN) women and children. In the first part of the commentary, we provide a brief overview of research, policies, and programs aimed at reducing violence against AI/AN women. In the second part, we present 3 recommendations for an expanded research agenda. The first recommendation is to promote participatory research on risk and protective factors to inform the development of culturally appropriate, strength-based and resilience interventions. The second recommendation is to increase applications of life course theories and examine the interconnectedness between intimate partner violence (IPV) and violence exposures that occur during childhood and older adulthood. The third recommendation is to conduct more studies on social and historical determinants of violence, with an emphasis on community and societal factors. Conclusions: Increased applications of theoretical frameworks may shed light on social, economic, historical, and cultural factors associated with violence against AI/AN women. Incorporating the factors in IPV prevention and intervention programs requires active participation and indigenous knowledge from AI/AN scholars, leaders, advocates, and communities. Diverse stakeholders play an important role in promoting the use of cultural strengths to improve the health and safety of AI/AN women and families. (PsycINFO Database Record (c) 2014 APA, all rights reserved)Psychology of Violence 01/2014; DOI:10.1037/a0038507 · 1.83 Impact Factor
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ABSTRACT: To help understand suicide among soldiers, we compared suicide events between active duty U.S. Army versus civilian decedents to identify differences and inform military prevention efforts. We linked 141 Army suicide records from 2005 to 2010 to National Violent Death Reporting System (NVDRS) data. We described the decedents' military background and compared their precipitators of death captured in NVDRS to those of demographically matched civilian suicide decedents. Both groups commonly had mental health and intimate partner precipitating circumstances, but soldier decedents less commonly disclosed suicide intent.Suicide and Life-Threatening Behavior 08/2014; DOI:10.1111/sltb.12111 · 1.40 Impact Factor
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ABSTRACT: Certain subgroups of youth are at high risk for depression and elevated depressive symptoms, and experience limited access to quality mental health care. Examples are socioeconomically disadvantaged, racial/ ethnic minority, and sexual minority youth. Research shows that there are efficacious interventions to prevent youth depression and depressive symptoms. These preventive interventions have the potential to play a key role in addressing these mental health disparities by reducing youth risk factors and enhancing protective factors. However, there are comparatively few preventive interventions directed specifically to these vulnerable subgroups, and sample sizes of diverse subgroups in general prevention trials are often too low to assess whether preventive interventions work equally well for vulnerable youth compared to other youth. In this paper, we describe the importance and need for "scientific equity," or equality and fairness in the amount of scientific knowledge produced to understand the potential solutions to such health disparities. We highlight possible strategies for promoting scientific equity, including the following: increasing the number of prevention research participants from vulnerable subgroups, conducting more data synthesis analyses and implementation science research, disseminating preventive interventions that are efficacious for vulnerable youth, and increasing the diversity of the prevention science research workforce. These strategies can increase the availability of research evidence to determine the degree to which preventive interventions can help address mental health disparities. Although this paper utilizes the prevention of youth depression as an illustrative case example, the concepts are applicable to other health outcomes for which there are disparities, such as substance use and obesity.Prevention Science 10/2014; DOI:10.1007/s11121-014-0518-7 · 2.63 Impact Factor