STUDY OBJECTIVE This study examined both individual and neighbourhood correlates of injury mortality to better understand the contribution of socioeconomic status to cause specific injury mortality. Of particular interest was whether neighbourhood effects remained after adjusting for individual demographic characteristics and socioeconomic status. DESIGN Census tract data (measuring small area socioeconomic status, racial concentration, residential stability, urbanisation, and family structure) was merged with the National Health Interview Survey (NHIS) and a file that links the respondents to subsequent follow up of vital status and cause of death data. Cox proportional hazards models were specified to determine individual and neighbourhood effects on homicide, suicide, motor vehicle deaths, and other external causes. Variances are adjusted for the clustered sample design of the NHIS. SETTING United States, 1987–1994, with follow up to the end of 1995. PARTICIPANTS From a sample of 472 364 persons ages 18–64, there were 1195 injury related deaths over the follow up period. MAIN RESULTS Individual level effects were generally robust to the inclusion of neighbourhood level variables in the models. Neighbourhood characteristics had independent effects on the outcome even after adjustment for individual variability. For example, there was approximately a twofold increased risk of homicide associated with living in a neighborhood characterised by low socioeconomic status, after adjusting for individual demographic and socioeconomic characteristics. CONCLUSIONS Social inequalities in injury mortality exist for both persons and places. Policies or interventions aimed at preventing or controlling injuries should take into account not only the socioeconomic characteristics of people but also of the places in which they live.

▪ Abstract Injuries continue to place a tremendous burden on the public's health and rates vary widely among different groups in the population. Increasing attention has recently been given to the effects of socioeconomic status (SES) as a determinant of health among both individuals and communities. However, relatively few studies have focused on the influence of SES and injuries. Furthermore, those that have, and the other injury studies that have included measures of SES in their analysis, have varying degrees of conceptual and methodological rigor in their use of this measure. Recent advances in data linkage and analytic techniques have, however, provided new and improved methods to assess the relationship between SES and injuries. This review summarizes the relevant literature on SES and injuries, with particular attention to study design, and the measurement and interpretation of SES. We found that increasing SES has a strong inverse association with the risk of both homicide and fatal unintentional injuries, although the results for suicide were mixed. However, the relationship between SES and nonfatal injuries was less consistent than for fatal injuries. We offer potential explanatory mechanisms for the relationship between SES and injuries and make recommendations for future research in this area.

Objectives. We have described national trends for the 5 leading external causes of injury mortality.Methods. We used negative binomial regression and annual underlying cause-of-death data for US residents for 2000 through 2009.Results. Mortality rates for unintentional poisoning, unintentional falls, and suicide increased by 128%, 71%, and 15%, respectively. The unintentional motor vehicle traffic crash mortality rate declined 25%. Suicide ranked first as a cause of injury mortality, followed by motor vehicle traffic crashes, poisoning, falls, and homicide. Females had a lower injury mortality rate than did males. The adjusted fall mortality rate displayed a positive age gradient. Blacks and Hispanics had lower adjusted motor vehicle traffic crash and suicide mortality rates and higher adjusted homicide rates than did Whites, and a lower unadjusted total injury mortality rate.Conclusions. Mortality rates for suicide, poisoning, and falls rose substantially over the past decade. Suicide has surpassed motor vehicle traffic crashes as the leading cause of injury mortality. Comprehensive traffic safety measures have successfully reduced the national motor vehicle traffic crash mortality rate. Similar efforts will be required to diminish the burden of other injury.

Scandinavian studies reported in the 1970s and early 1980s. The goals of the current study were (1) to determine the age, gender, and race-specific rates and mechanisms of fractures of the femoral shaft in children in a large United-States-based population and (2) to identify associations between the rates of these fractures and multiple sociodemographic indicators. Such information is vital for preventive efforts.Methods: The Hospital Discharge Database of the Maryland Health Services Cost Review Commission for the years 1990 through 1996 was used to obtain demographic data on 1485 cases of acute fracture of the femoral shaft in patients who were less than eighteen years old, and data from the United States Bureau of the Census for the state of Maryland for the year 1990 were used to obtain denominator data. Reliable external-cause data were available from the 1995 and 1996 databases for 472 patients. Small-area analysis was performed at the zip-code level to determine associations between numerous sociodemographic indicators and the rate of femoral shaft fracture.Results: The annual rate of femoral shaft fracture in children was 19.15 per 100,000. With regard to age, there was a bimodal distribution, with peaks at two and seventeen years. Boys had higher rates of fracture than did girls at all ages, and blacks had higher rates than did whites. The primary mechanisms of fracture were age-dependent and included falls, for children less than six years old; motor vehicle-pedestrian accidents, for those six to nine years old; and motor-vehicle accidents, for teenagers. Firearm-related injuries accounted for 15 percent of the fractures among black adolescents. Adverse socioeconomic conditions were significantly associated with higher rates of fracture.Conclusions: The rates and mechanisms of femoral shaft fractures in children depend on age, gender, and race. For children living in the United States today, the epidemiology of these fractures is different than that described in earlier, Scandinavian reports....