title: [Uni- and multivariate analysis of factors influencing car crash mortality of passengers].
abstract: BACKGROUND
  While the number of fatal accidents decreases every year, there is still need for improvement and action to prevent these deaths. The basis for this purpose has to be an analysis about the factors influencing the car crash mortality.
  
  
  METHODS
  This multivariate analysis is based on 2,609 cases collected by the accident research units in Dresden and Hanover during the years 1999-2003. This paper presents a multivariate model containing ten different variables which detects 93% of these cases properly as"survived" or"dead."
  
  
  RESULTS
  The variable"energy equivalent speed" (EES) has the most important effect on car crash mortality. Values greater than 60 km/h lead to a 248-fold higher mortality risk. The mortality is not related to gender, but rather to the value of EES. Younger persons (18-25 years) have no significantly higher risk for death, but for persons older than 60 years the risk was threefold higher.
  
  
  CONCLUSIONS
  Univariate assessments may be falsified by bias; this effect can be uncovered by multivariate models.
authors.affiliation: Klinik und Poliklinik für Unfall- und Wiederherstellungschirurgie, Universitätsklinikum Carl Gustav Carus, Technische Universität, Fetscherstrasse 74, 01307, Dresden. sophiarohrer@gmx.de
authors.forename: S
authors.initials: S
authors.lastname: Rohrer
authors.forename: R
authors.initials: R
authors.lastname: Koch
authors.forename: L
authors.initials: L
authors.lastname: Hannawald
authors.forename: H
authors.initials: H
authors.lastname: Zwipp
mesh_terms: D000063:Accidents, Traffic / Q000145:classification / Q000401:mortality* / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D015995:Prevalence; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D017678:Sex Distribution; D016019:Survival Analysis; D015996:Survival Rate