ABSTRACT
INTRODUCTION: Every year in the United States, thousands of young children are injured by passenger vehicles in driveways or parking areas. Little is known about risk factors, and incidence rates are difficult to estimate because ascertainment using police collision reports or media sources is incomplete. This study used surveillance at trauma centers to identify incidents and parent interviews to obtain detailed information on incidents, vehicles, and children. METHODS: Eight California trauma centers conducted surveillance of nontraffic pedestrian collision injury to children aged 14 years or younger from January 2005 to July 2007. Three of these centers conducted follow-up interviews with family members. RESULTS: Ninety-four injured children were identified. Nine children (10%) suffered fatal injury. Seventy children (74%) were 4 years old or younger. Family members of 21 victims from this study (23%) completed an interview. Of these 21 interviewed victims, 17 (81%) were male and 13 (62%) were 1 or 2 years old. In 13 cases (62%), the child was backed over, and the driver was the mother or father in 11 cases (52%). Fifteen cases (71%) involved a sport utility vehicle, pickup truck, or van. Most collisions occurred in a residential driveway. CONCLUSION: Trauma center surveillance can be used for case ascertainment and for collecting information on circumstances of nontraffic pedestrian injuries. Adoption of a specific external cause-of-injury code would allow passive surveillance of these injuries. Research is needed to understand the contributions of family, vehicular, and environmental characteristics and injury risk to inform prevention efforts.
ABSTRACT
This paper examines the relationship between area-level social capital and non-specific psychological distress. It demonstrates that not controlling for non-time-varying omitted variables can seriously bias research findings. We use data from three cross-sections of the US National Health Interview Survey (1999, 2000, and 2001): 37,172 observations nested within 58 Metropolitan Statistical Areas. We also add data from the Area Resource File and County Business Patterns. We use a validated measure of social capital, the Petris Social Capital Index (PSCI), which measures structural social capital. We estimate a two-level multilevel linear model with a random intercept. Non-specific psychological distress is measured using a valid and reliable indicator, the K6. Individual-level variables include sex, age, race/ethnicity, marital status, education, family income, smoking status, exercise status, and number of visits to a health professional. Area-level covariates include the PSCI, the unemployment rate, psychiatrists per 1000 population, non-psychiatric physicians per 1000 population, and area-level indicators to account for non-time-varying area-level omitted variable bias. Time dummies are also included. We find that lagged area-level social capital is negatively related to non-specific psychological distress among individuals whose family income is less than the median. These associations are much larger when we control for non-time-varying area-level omitted variables.
