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...
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Published in | BMJ Vol. 327; no. 7429; pp. 1455 - 1456 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
British Medical Journal Publishing Group
20.12.2003
British Medical Association BMJ Publishing Group LTD BMJ Publishing Group BMJ Publishing Group Ltd |
Edition | International edition |
Subjects | |
Online Access | Get full text |
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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. |
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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 |