Article

The current injury situation of bicyclists--a medical and technical crash analysis.

Department for Trauma, Orthopaedic and Foot Surgery, Coburg Clinical Center, and Hannover Medical School, Germany.
The Journal of trauma (Impact Factor: 2.96). 05/2007; 62(5):1118-22. DOI: 10.1097/01.ta.0000221060.78894.cb
Source: PubMed

ABSTRACT The purpose of the study was to analyze the actual injury situation of bicyclists in Germany to create a basis for effective preventive measures.
Technical and medical data were prospectively collected shortly after the crash at the crash scenes.
Included were 4,264 injured bicyclists from 1985 to 2003. Fifty-five percent of the bicyclists were male and 45% were women. The mean age of bicyclists was 52.0 years. The crashes took place in urban areas in 95.2% of the cases, and in rural areas in 4.8% of the cases. Collision opponents were cars in 65.8%, trucks in 7.2%, bicyclists in 7.4%, standing objects in 8.8%, multiple opponents or objects in 4.3%, and others in 6.5%. The mean collision speed was 21.3 km/h. The helmet use rate was 1.7%. Fifty-five percent of bicyclists used bicycle traffic lanes before the crash. The mean Maximum Abbreviated Injury Scale/Injury Severity Score (ISS) was 1.45 of 3.9. The incidence of multiple injuries (ISS>16)/death was 2.0%/1.5%. The ISS/Maximum Abbreviated Injury Scale score was higher in bicyclists without a helmet than in bicyclists with a helmet, and in bicyclists who had not used bicycle traffic lanes than in bicyclists who had used bicycle traffic lanes (t test, p<0.05).
In bicyclists, head and extremities are at high risk for injuries. The helmet use rate is unsatisfactorily low. Remarkably, two-thirds of the head injuries could have been prevented by helmets. More consequent helmet use and an extension of bicycle traffic lanes for a better separation of bicyclists and motorized vehicles would be simple but very effective preventive measures.

0 Bookmarks
 · 
89 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Spinal injuries pose a considerable risk to life and quality of life. In spite of improvements in active and passive safety of motor vehicles, car accidents are regarded as a major cause for vertebral fractures. The purpose of this study was to evaluate the current incidence of vertebral fractures among front-seat occupants in motor vehicle accidents, and to identify specific risk factors for sustaining vertebral fractures in motor vehicle accidents. Data from an accident research unit were accessed to collect collision details, preclinical data, and clinical data. We included all data on front-seat occupants. Hospital records were retrieved, and radiological images were evaluated. We analysed 33,015 front-seat occupants involved in motor vehicle accidents over a 24-year period. We identified 126 subjects (0.38%) with cervical spine fractures, 78 (0.24%) with thoracic fractures, and 99 (0.30%) with lumbar fractures. The mean relative collision speeds were 48, 39, and 40kph in subjects with cervical, thoracic, and lumbar spine fractures, respectively, while it was 17.3kph in the whole cohort. Contrary to the overall cohort, these patients typically sustained multiple hits rather than simple front collisions. Occupants with vertebral fractures frequently showed numerous concomitant injuries; for example, additional vertebral fractures. The incidence of vertebral fractures corresponded with collision speed. Safety belts were highly effective in the prevention of vertebral fractures. Apart from high speed, complex injury mechanisms as multiple collisions or rollovers were associated with vertebral fractures. Additional preventive measures should focus on these collision mechanisms.
    Accident; analysis and prevention 01/2014; 66C:15-19. · 1.65 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Patients of motor vehicle crashes (MVCs) suffering burns are challenging for the rescue team and the admitting hospital. These patients often face worse outcomes than crash patients with trauma only. Our analysis of the German In-depth Accident Study (GIDAS) database researches the detailed crash mechanisms to identify potential prevention measures. We analyzed the 2011 GIDAS database comprising 14,072 MVC patients and compared individuals with (Burns) and without (NoBurns) burns. Only complete data sets were included. Patients with burns obviously resulting of air bag deployment only were not included in the Burns group. Data acquisition by an on call team of medical and technical researchers starts at the crash scene immediately after the crash and comprises technical data as well as medical information until discharge from the hospital. Statistical analysis was done by Mann-Whitney-U-test. Level of significance was p<0.05. 14,072 MVC patients with complete data sets were included in the analysis. 99 individuals suffered burns (0.7%; group "Burns"). Demographic data and injury severity showed no statistical significant difference between the two groups of Burns and NoBurns. Injury severity was measured using the Injury Severity Score (ISS). Direct frontal impact (Burns: 48.5% vs. NoBurns: 33%; p<0.05) and high-energy impacts as represented by delta-v (m/s) (Burns: 33.5±21.4 vs. NoBurns: 25.2±15.9; p<0.05) were significantly different between groups as was mortality (Burns: 12.5% vs. NoBurns: 2.1%; p<0.05). Type of patients' motor vehicles and type of crash opponent showed no differences. Our results show, that frontal and high-energy impacts are associated with a frequency of burns. This may serve automobile construction companies to improve the burn safety to prevent flames spreading from the motor compartment to the passenger compartment. Communities may impose speed limits in local crash hot spots.
    Burns: journal of the International Society for Burn Injuries 10/2013; · 1.95 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: A majority of cyclists' hospital presentations involve relatively minor soft tissue injuries. This study investigated the role of clothing in reducing the risk of cyclists' injuries in crashes.
    Accident Analysis & Prevention 10/2014; 73C:392-398. · 1.87 Impact Factor

Full-text (2 Sources)

Download
133 Downloads
Available from
Jun 6, 2014