title: Homicide rate as a predictor of traffic fatality rate.
abstract: BACKGROUND
  In the United States, traffic fatality rates per distance driven vary greatly from state to state, with the maximum rate being 2.9 times the minimum rate. This study was designed to examine factors associated with this variability.
  
  
  METHODS
  A multiple regression was performed on the 2006 state data. The dependent variable was the fatality rate per distance driven. There were 10 independent variables.
  
  
  RESULTS
  The analysis identified seven statistically significant factors: homicide rate per capita (used in the analysis as a proxy for aggression), physicians per capita, safety-belt usage rate, proportion of male drivers, proportion of drivers over 64 years of age, income per capita, and deaths caused by alcohol-related liver failures per capita (a proxy for the extent of intoxicated driving). These seven factors accounted for 71 percent of the variance in the traffic fatality rates. The strongest predictor of the traffic fatality rate was the homicide rate.
  
  
  CONCLUSIONS
  This finding suggests that social aspects of human interaction may play an important role in traffic safety.
authors.affiliation: The University of Michigan Transportation Research Institute, Ann Arbor, Michigan 48109-2150, USA. sivak@umich.edu
authors.forename: Michael
authors.initials: M
authors.lastname: Sivak
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000523:psychology; D000293:Adolescent; D000368:Aged; D001334:Automobile Driving / Q000706:statistics & numerical data; D005260:Female; D006708:Homicide / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D012044:Regression Analysis; D012307:Risk Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult