CAR COLOUR AND RISK OF CAR CRASH INJURY: POPULATION BASED CASE CONTROL STUDY

This study investigates the effect of car color on the risk of serious injury from a crash, using a population-based case control study designed to identify and quantify modifiable risk factors. The study population comprised all drivers of cars on public roads in the region. Cases were all car drivers involved in crashes in which one or more of the occupants of the car were admitted to the hospital or died. Controls were car drivers identified by cluster sampling of drivers from randomly selected sites on the road network, at randomly selected times, representative of all time spent driving in the study region during the study. In the multivariable analysis, the effects of potential confounders were assessed. Results showed that silver cars were about 50% less likely to be involved in a crash resulting in serious injury than white cars in both the univariate analysis and the multivariable analysis. There was a significant increased risk of serious injury in brown vehicles, and the risk for black and green cars was also raised. However, green and brown color groups were heterogeneous in terms of shade of colors included. The risk of serious injury in yellow, gray, red and blue cars was not significantly different than that in white cars. These results suggest that increasing the proportion of silver cars could be an effective passive strategy in reducing serious injuries from car crashes.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00071447
• Supplemental Notes:
  • Page range: pp 1455-1456.
• Corporate Authors:

  British Medical Association

  BMA House, Tavistock Square
  London WC1H 9JR,   United Kingdom 
• Authors:
  • Furness, S
  • Connor, J
  • ROBINSON, E
  • Norton, R
  • Ameratunga, S
  • Jackson, R
• Publication Date: 2003-12-20

Language

• English

Media Info

• Features: Figures; References;
• Pagination: 2 p.
• Serial:
  • BMJ
  • Volume: 327
  • Issue Number: 7429
  • Publisher: British Medical Association
  • ISSN: 0959-8138
  • Serial URL: http://www.bmj.com/

Subject/Index Terms

• TRT Terms: Automobiles; Color; Crash injury research; Crash risk forecasting; Multivariate analysis; Representative samples (Statistics); Vehicle design; Vehicle safety
• Subject Areas: Data and Information Technology; Design; Highways; Research; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 00968034
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 1 2004 12:00AM