Car colour and risk of car crash injury: population based case control study

In the multivariable analysis, we assessed the effect of the following potential confounders: age of driver, sex, educational level, ethnicity, alcohol consumption (in previous six hours), use of recreational drugs, seat-belt use, average time spent driving each week, vehicle speed, vehicle age, eng...

Full description

Saved in:
Bibliographic Details
Published inBMJ Vol. 327; no. 7429; pp. 1455 - 1456
Main Authors Furness, S, Connor, J, Robinson, E, Norton, R, Ameratunga, S, Jackson, R
Format Journal Article
LanguageEnglish
Published London British Medical Journal Publishing Group 20.12.2003
British Medical Association
BMJ Publishing Group LTD
BMJ Publishing Group
BMJ Publishing Group Ltd
EditionInternational edition
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In the multivariable analysis, we assessed the effect of the following potential confounders: age of driver, sex, educational level, ethnicity, alcohol consumption (in previous six hours), use of recreational drugs, seat-belt use, average time spent driving each week, vehicle speed, vehicle age, engine size, registration, warrant of fitness and vehicle insurance, driving licence status, road type, weather, and ambient light conditions (day, night, twilight). Car colour No (%) of cases (n=567) No (%) of controls * (n=588) Univariate odds ratio Multivariable odds ratio [dagger] White 145 (25.6) 146 (25.9) 1 1 Yellow 31 (5.5) 15 (2.8) 2.0 (1.0 to 4.0) 0.8 (0.3 to 2.3) Grey 52 (9.2) 61 (10.0) 0.9 (0.6 to 1.5) 0.6 (0.3 to 1.3) Black 36 (6.4) 34 (5.5) 1.2 (0.7 to 2.0) 2.0 (1.0 to 4.2) Blue 91 (16.1) 96 (17.4) 0.9 (0.6 to 1.4) 0.9 (0.5 to 1.6) Red 85 (15.0) 82 (13.3) 1.1 (0.7 to 1.8) 0.7 (0.4 to 1.4) Green 42 (7.4) 44 (7.0) 1.1 (0.6 to 1.8) 1.8 (1.0 to 3.6) Brown 55 (9.7) 49 (6.8) 1.4 (0.8 to 2.5) 2.1 (1.1 to 4.2) Silver 30 (5.3) 61 (11.3) 0.5 (0.3 to 0.8) 0.4 (0.2 to 0.9) P value - - 0.04 0.003 * Proportions of controls are adjusted for the cluster sampling design. [dagger] Adjusted for driver's age, ethnicity, alcohol consumption in past 6 hours, seat belt use, vehicle speed, average driving time each week, driving licence status, vehicle insurance status, and weather.
Bibliography:istex:06AEFD3A6D5386EAB2030488E8EB22266345FC2E
PMID:14684646
href:bmj-327-1455.pdf
ArticleID:bmj.327.7429.1455
local:bmj;327/7429/1455
Correspondence to: S Furness
ark:/67375/NVC-7SRLGFHD-H
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
Contributors: SF was responsible for this analysis and writing the paper; JC, ER, RN, SA, and RJ contributed to the design and conduct of the study and the writing of the paper; ER and JC contributed to this analysis. JC is the guarantor.
Funding: The Health Research Council of New Zealand funded the Auckland car crash injury study and the Road Safety Research Trust funded this analysis.
We thank the study participants and I Civil, R Dunn, and J Bailey for help with the design of the study.
Correspondence to: S Furness s.furness@auckland.ac.nz
Competing interests: None declared.
ISSN:0959-8138
0959-8146
1468-5833
1756-1833
DOI:10.1136/bmj.327.7429.1455