INTRODUCTION: Approximately 49,000 persons died by suicide in the United States in 2022, and provisional data indicate that a similar number died by suicide in 2023. A comprehensive approach that addresses upstream community risk and protective factors is an important component of suicide prevention. A better understanding of the role of these factors is needed, particularly among disproportionately affected populations. METHODS: Suicide deaths were identified in the 2022 National Vital Statistics System. County-level factors, identified from federal data sources, included health insurance coverage, household broadband Internet access, and household income. Rates and levels of factors categorized by tertiles were calculated and presented by race and ethnicity, sex, age, and urbanicity. RESULTS: In 2022, the overall suicide rate was 14.2 per 100,000 population; rates were highest among non-Hispanic American Indian or Alaska Native (AI/AN) persons (27.1), males (23.0), and rural residents (20.0). On average, suicide rates were lowest in counties in the top one third of percentage of persons or households with health insurance coverage (13.0), access to broadband Internet (13.3), and income >100% of the federal poverty level (13.5). These factors were more strongly associated with lower suicide rates in some disproportionately affected populations; among AI/AN persons, suicide rates in counties in the highest tertile of these factors were approximately one half the rates of counties in the lowest tertile. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Higher levels of health insurance coverage, household broadband Internet access, and household income in communities might play a role in reducing suicide rates. Upstream programs, practices, and policies detailed in CDC's Suicide Prevention Resource for Action can be implemented by decision-makers, government agencies, and communities as they work together to address community-specific needs and save lives.

INTRODUCTION: Suicide among males is a major public health challenge. In 2019, males accounted for nearly 80% of the suicide deaths in the U.S., and suicide was the eighth leading cause of death for males aged ≥10 years. Males who die by suicide are less likely to have known mental health conditions than females; therefore, it is important to identify prevention points outside of mental health systems. The purpose of this analysis was to compare suicide characteristics among males with and without known mental health conditions by age group to inform prevention. METHODS: Suicides among 4 age groups of males were examined using the 3 most recent years of data at the time of the analysis (2016-2018) from the Centers for Disease Control and Prevention's National Violent Death Reporting System. Decedents with and without known mental health conditions were compared within age groups. The analysis was conducted in August 2021. RESULTS: Most male suicide decedents had no known mental health conditions. More frequently, those without known mental health conditions died by firearm, and many tested positive for alcohol. Adolescents, young adults, and middle-aged males without known mental health conditions more often had relationship problems, arguments, and/or a crisis as a precipitating circumstance than those with known mental health conditions. CONCLUSIONS: Acute stressors more often precipitated suicides of males without known mental health conditions, and they more often involved firearms. These findings underscore the importance of mitigating acute situational stressors that could contribute to emotionally reactive/impulsive suicides. Suicide prevention initiatives targeting males might focus on age-specific precipitating circumstances in addition to standard psychiatric markers.

Introduction: Despite 49 states and the District of Columbia having seat belt laws that permit either primary or secondary enforcement, nearly half of persons who die in passenger vehicle crashes in the United States are unbelted. Monitoring seat belt use is important for measuring the effectiveness of strategies to increase belt use. Objective: Document self-reported seat belt use by state seat belt enforcement type and compare 2016 self-reported belt use with observed use and use among passenger vehicle occupant (PVO) fatalities. Methods: We analyzed the Behavioral Risk Factor Surveillance System (BRFSS) self-reported seat belt use data during 2011–2016. The Pearson correlation coefficient (r) was used to compare the 2016 BRFSS state estimates with observed seat belt use from state-based surveys and with unrestrained PVO fatalities from the Fatality Analysis Reporting System. Results: During 2011–2016, national self-reported seat belt use ranged from 86–88%. In 2016, national self-reported use (87%) lagged observed use (90%) by 3 percentage points. By state, the 2016 self-reported use ranged from 64% in South Dakota to 93% in California, Hawaii, and Oregon. Seat belt use averaged 7 percentage points higher in primary enforcement states (89%) than in secondary states (82%). Self-reported state estimates were strongly positively correlated with state observational estimates (r = 0.80) and strongly negatively correlated with the proportion of unrestrained PVO fatalities (r = −0.77). Conclusion: National self-reported seat belt use remained essentially stable during 2011–2016 at around 87%, but large variations existed across states. Practical Applications: If seat belt use in secondary enforcement states matched use in primary enforcement states for 2016, an additional 3.98 million adults would have been belted. Renewed attention to increasing seat belt use will be needed to reduce motor-vehicle fatalities. Self-reported and observational seat belt data complement one another and can aid in designing targeted and multifaceted interventions.

Each year, more than 1 in 4 older adults in the United States report a fall and 1 in 10 a fall injury. Using nationally representative data from the 2016 US Behavioral Risk Factor Surveillance System, we evaluated demographic, geographic, functional, and health characteristics associated with falls and fall injuries among adults aged 65 years and older. Analyses included descriptive statistics and multivariable logistic regression to produce crude and adjusted percentages by characteristic. Characteristics most strongly associated with increased fall risk in order of adjusted percentage were depression, difficulty doing errands alone, and difficulty dressing or bathing. Characteristics most strongly associated with fall injury risk in order of adjusted percentage were depression, difficulty dressing or bathing, and being a member of an unmarried couple. The diverse health and functional characteristics associated with increased falls and fall injuries confirm the importance of screening and assessing older adult patients to determine their individual unique risk factors. Health care providers can use tools and resources from the Centers for Disease Control and Prevention’s STEADI (Stopping Elderly Accidents, Deaths, and Injuries) initiative to screen their older adult patients for fall risk, assess at-risk patients’ modifiable risk factors, and intervene to reduce risk by prescribing evidence-based interventions.

BACKGROUND: This study used a new Crime Prevention Through Environmental Design (CPTED) assessment tool to test the associations between physical attributes of schools and violence-related behaviors and perceptions of students. METHODS: Data were collected from 4717 students from 50 middle schools. Student perceptions of risk and safety, and violence were assessed. Evaluators used the CPTED School Assessment (CSA) to quantify how well the physical elements of each school correspond to ideal CPTED principles. Generalized linear mixed models were used to adjust for school- and student-level characteristics. RESULTS: Higher CSA scores were generally associated with higher perceptions of safety and lower levels of violence perpetration and perceived risk in unadjusted models. Higher CSA scores were also associated with lower odds of missing school because of safety concerns in most adjusted models, with significant adjusted odds ratios (AORs) ranging from 0.32 to 0.63. CSA scores for parking and bus loading areas also remained associated with higher perceived safety (AORs = 1.28 and 1.32, respectively) and lower perceived risk (AORs = 0.73 and 0.66, respectively) in adjusted models. CONCLUSIONS: The CSA is useful for assessing school environments that are associated with violence-related behaviors and perceptions. The CSA might help guide school environmental modifications to reduce violence.

PROBLEM/CONDITION: Motor-vehicle crashes are a leading cause of death in the United States. Compared with urban residents, rural residents are at an increased risk for death from crashes and are less likely to wear seat belts. These differences have not been well described by levels of rurality. REPORTING PERIOD: 2014. DESCRIPTION OF SYSTEMS: Data from the Fatality Analysis Reporting System (FARS) and the Behavioral Risk Factor Surveillance System (BRFSS) were used to identify passenger-vehicle-occupant deaths from motor-vehicle crashes and estimate the prevalence of seat belt use. FARS, a census of U.S. motor-vehicle crashes involving one or more deaths, was used to identify passenger-vehicle-occupant deaths among adults aged ≥18 years. Passenger-vehicle occupants were defined as persons driving or riding in passenger cars, light trucks, vans, or sport utility vehicles. Death rates per 100,000 population, age-adjusted to the 2000 U.S. standard population and the proportion of occupants who were unrestrained at the time of the fatal crash, were calculated. BRFSS, an annual, state-based, random-digit-dialed telephone survey of the noninstitutionalized U.S. civilian population aged ≥18 years, was used to estimate prevalence of seat belt use. FARS and BRFSS data were analyzed by a six-level rural-urban designation, based on the U.S. Department of Agriculture 2013 rural-urban continuum codes, and stratified by census region and type of state seat belt enforcement law (primary or secondary). RESULTS: Within each census region, age-adjusted passenger-vehicle-occupant death rates per 100,000 population increased with increasing rurality, from the most urban to the most rural counties: South, 6.8 to 29.2; Midwest, 5.3 to 25.8; West, 3.9 to 40.0; and Northeast, 3.5 to 10.8. (For the Northeast, data for the most rural counties were not reported because of suppression criteria; comparison is for the most urban to the second-most rural counties.) Similarly, the proportion of occupants who were unrestrained at the time of the fatal crash increased as rurality increased. Self-reported seat belt use in the United States decreased with increasing rurality, ranging from 88.8% in the most urban counties to 74.7% in the most rural counties. Similar differences in age-adjusted death rates and seat belt use were observed in states with primary and secondary seat belt enforcement laws. INTERPRETATION: Rurality was associated with higher age-adjusted passenger-vehicle-occupant death rates, a higher proportion of unrestrained passenger-vehicle-occupant deaths, and lower seat belt use among adults in all census regions and regardless of state seat belt enforcement type. PUBLIC HEALTH ACTIONS: Seat belt use decreases and age-adjusted passenger-vehicle-occupant death rates increase with increasing levels of rurality. Improving seat belt use remains a critical strategy to reduce crash-related deaths in the United States, especially in rural areas where seat belt use is lower and age-adjusted death rates are higher than in urban areas. States and communities can consider using evidence-based interventions to reduce rural-urban disparities in seat belt use and passenger-vehicle-occupant death rates.

Falls are the leading cause of fatal and nonfatal injuries among adults aged ≥65 years (older adults). During 2014, approximately 27,000 older adults died because of falls; 2.8 million were treated in emergency departments for fall-related injuries, and approximately 800,000 of these patients were subsequently hospitalized.* To estimate the numbers, percentages, and rates of falls and fall injuries among older adults by selected characteristics and state, CDC analyzed data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS) survey. In 2014, 28.7% of older adults reported falling; the estimated 29.0 million falls resulted in 7.0 million injuries. Known effective strategies for reducing the number of older adult falls include a multifactorial clinical approach (e.g., gait and balance assessment, strength and balance exercises, and medication review). Health care providers can play an important role in fall prevention by screening older adults for fall risk, reviewing and managing medications linked to falls, and recommending vitamin D supplements to improve bone, muscle, and nerve health and reduce the risk for falls.

BACKGROUND: Drowning is the second leading cause of unintentional injury death among US children. Multiple studies describe decreased drowning risk among children possessing some swim skills. Current surveillance for this protective factor is self/proxy-reported swim skill rather than observed inwater performance; however, children's self-report or parents' proxy report of swim skill has not been validated. This is the first US study to evaluate whether children or parents can validly report a child's swim skill. It also explores which swim skill survey measure(s) correlate with children's inwater swim performance. METHODS: For this cross-sectional convenience-based sample, pilot study, child/parent dyads (N=482) were recruited at three outdoor public pools in Washington State. Agreement between measures of self-reports and parental-reports of children's swim skill was assessed via paired analyses, and validated by inwater swim test results. RESULTS: Participants were representative of pool's patrons (ie, non-Hispanic White, highly educated, high income). There was agreement in child/parent dyads' reports of the following child swim skill measures: 'ever taken swim lessons', perceived 'good swim skills' and 'comfort in water over head'. Correlation analyses suggest that reported 'good swim skills' was the best survey measure to assess a child's swim skill-best if the parent was the informant (r=0.25-0.47). History of swim lessons was not significantly correlated with passing the swim test. CONCLUSIONS: Reported 'good swim skills' was most correlated with observed swim skill. Reporting 'yes' to 'ever taken swim lessons' did not correlate with swim skill. While non-generalisable, findings can help inform future studies.

Injury from self-directed violence, which includes suicidal behavior and its consequences, is a leading cause of death and disability. In 2009, suicide was the 10th-leading cause of death in the United States and the cause of 36,909 deaths. In 2005, the estimated cost of self-directed violence (fatal and nonfatal treated) was $41.2 billion (including $38.9 billion in productivity losses and $2.2 billion in medical costs). Suicide is a complex human behavior that results from an interaction of multiple biological, psychological, social, political, and economic factors. Although self-directed violence affects members of all racial/ethnic groups in the United States, it often is misperceived to be a problem affecting primarily non-Hispanic white males.

According to 1981-2009 data, homicide accounts for 16,000-26,000 deaths annually in the United States and ranks within the top four leading causes of death among U.S. residents aged 1-40 years. Homicide can have profound long-term emotional consequences on families and friends of victims and on witnesses to the violence, as well as cause excessive economic costs to residents of affected communities. For years, homicide rates have been substantially higher among certain populations. Previous reports have found that homicides are higher among males, adolescents and young adults, and certain racial/ethnic groups, such as non-Hispanic blacks, non-Hispanic American Indian/Alaska Natives (AI/ANs), and Hispanics. The 2011 CDC Health Disparities and Inequalities Report (CHDIR) described similar findings for the year 2007. For example, the 2011 report showed that the 2007 homicide rate was highest among non-Hispanic blacks (23.1 deaths per 100,000), followed by AI/ANs (7.8 deaths per 100,000), Hispanics (7.6 deaths per 100,000), non-Hispanic whites (2.7 deaths per 100,000), and Asian/Pacific Islanders (A/PIs) (2.4 deaths per 100,000). In addition, non-Hispanic black men aged 20-24 years were at greatest risk for homicide in 2007, with a rate that exceeded 100 deaths per 100,000 population. Other studies have reported that community factors such as poverty and economic inequality and individual factors such as unemployment and involvement in criminal activities can play a substantial role in these persistent disparities in homicide rates. Public health strategies are needed in communities at high risk for homicide to prevent violence and save lives.

During 1991--2007, homicide was ranked as one of the top four leading causes of death each year for persons aged 1--40 years living in the United States (1). Furthermore, vast disparities in homicide rates have been reported between males and females and among different age and racial/ethnic groups (2--6). For example, previous studies have indicated that rates of death from homicide are particularly high among males (4--6), persons aged 15--34 years and <1 year (5), and blacks (2,3,5,6). Homicide rates for males are estimated to be approximately 3--4 times higher than that for females (4,5); among persons aged 20--24 years, the male homicide rate is 6 times higher than that for females (1,5). In addition, minority racial/ethnic children and young adults in the United States are disproportionately affected by homicide. During 1999--2002, among persons aged 10--19 years, the homicide rate for blacks was estimated to be 17.8 per 100,000 population, a rate 10 times that of whites (1.8 per 100,000) and higher than the rates reported for American Indians/Alaska Natives (AI/ANs) (6.0 per 100,000), Asian/Pacific Islanders (A/PIs) (2.9 per 100,000), and Hispanics (8.0 per 100,000) (2). | | To assess homicide rates in the United States by sex, age, and race/ethnicity for 2007, CDC assessed data from the CDC Web-based Injury Statistics Query and Reporting System --- Fatal (WISQARS Fatal) (1). This report summarizes these rates, identifies specific population groups with the highest rates of death from homicide, and provides homicide rates by race/ethnicity and year throughout a 9-year period (1999--2007). Additional details on homicide rates by these variables for each state and census region can be accessed through the WISQARS Fatal online query system (http://www.cdc.gov/injury/wisqars/index.html). Data on individual and socioeconomic risk factors for homicide were unavailable for analysis. In addition, sufficient data were unavailable to assess disparities by certain racial/ethnic subgroups, family income, educational attainment, disability status, and sexual orientation.

Injury from self-directed violence, which includes suicidal behavior and its consequences, is a leading cause of death and disability. In 2007, suicide was the 11th leading cause of death in the United States and the cause of 34,598 deaths (1). In 2000, the estimated cost of self-directed violence (fatal and nonfatal) was $33 billion ($32 billion in productivity losses and $1 billion in medical costs) (2). Suicide rates are influenced by biological, psychological, social, moral, political, and economic factors (3). Self-directed violence in the United States affects all racial/ethnic groups but often is misperceived to be a problem solely affecting non-Hispanic white males (4). | | To determine differences in the prevalence of suicide by sex, race/ethnicity, age, and geographic region in the United States, CDC analyzed 1999--2007 data from the Web-based Injury Statistics Query and Reporting System --- Fatal (WISQARS Fatal) (5) and the National Vital Statistics System (NVSS). Mortality data originate from NVSS, which collects death certificate data filed in the 50 states and the District of Columbia (1). Data in this report were based on suicides from any cause and include the 1999--2007 data years. The WISQARS database contains mortality data based on NVSS and population counts for all U.S. counties based on U.S. Census data. Counts and rates of death can be obtained by underlying cause of death, mechanism of injury, state, county, age, race, sex, year, injury cause of death (e.g., firearm, poisoning, or suffocation) and by manner of death (e.g., suicide, homicide, or unintentional injury) (4).