Medical conditions, risk exposure, and truck drivers' accidents: An analysis with count data regression models
| Autor: | Claire Laberge-Nadeau, Denise Desjardins, Georges Dionne, Urs Maag |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Adult
Male Truck Engineering Vision Disorders Poison control Coronary Disease Transportation Human Factors and Ergonomics Occupational safety and health Diabetes Complications Risk Factors Kilometer Environmental health Injury prevention Diabetes Mellitus Forensic engineering Accidents Occupational Humans Safety Risk Reliability and Quality Vision Binocular business.industry Accidents Traffic Public Health Environmental and Occupational Health Human factors and ergonomics Regression analysis Middle Aged Hypertension Automobile Driver Examination Regression Analysis Morbidity Risk assessment business human activities |
| Zdroj: | Accident Analysis & Prevention. 27:295-305 |
| ISSN: | 0001-4575 |
| Popis: | Recent studies do not agree on the possible relationship between medical conditions and traffic safety; most of them do not control for exposure factors. This problem has become more pertinent for scientific studies because of litigation that showed that present regulations about access to driver permits might contravene human rights legislation. In our study, we estimate the effect of different medical conditions on truck drivers' distributions of accidents. Our data and our models permit simultaneous control for age; medical conditions; exposure factors measured by hours, kilometer, and qualitative factors; and other characteristics of truck drivers. Our results show that diabetic truck drivers of the permit class for straight trucks have more accidents than drivers in good health. No other studied medical condition has a significant effect on individual accident distributions. Many risk exposure variables are also significant. The effect of age is discussed in detail. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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