scholarly journals Helmet Use for the Prevention of Brain Injuries in Motorcycle Accidents

Author(s):  
Concepci Fuentes-Pumarola ◽  
Carme Bertran ◽  
M. Eugnia ◽  
Slvia Font-Mayolas ◽  
David Ballester ◽  
...  
2019 ◽  
Vol 12 (4) ◽  
pp. 284-290
Author(s):  
Zeeshan Arif ◽  
B. R. Rajanikanth ◽  
Kavitha Prasad

Road traffic accidents are the leading cause of death among the Indian population. Motorcycle accidents are the most prominent type of injuries among road traffic accidents in India. In this prospective cross-sectional study, all the patients attending three centers in north Bangalore, with facial injuries occurring from a motorcycle accident, were included. The subjects were analyzed for the type of collision, helmet use, type of helmet use, and fastening status of the helmets. A total of 311 motorcyclists were included in this study for a period of 18 months (December 2015 to June 2017). There were 79.7% males and 20.3% females. The most prominent age group was 21 to 30 years. The percentage of riders sustaining facial injuries was significantly more in the non-helmeted group. The most common injuries in open face helmets were in the middle and lower third of the face, whereas in closed face helmets it was in the middle third of the face. The numbers of injuries were significantly higher in the nonfastened helmet group as compared with fastened helmet group. Helmet fixation is an important characteristic along with helmet type for the better effectiveness and safety of the helmets for the motorcyclists.


2012 ◽  
Vol 23 (4) ◽  
pp. 982-985 ◽  
Author(s):  
Josuel Raimundo Cavalcante ◽  
Salomão Cury-Rad Oka ◽  
Thiago de Santana Santos ◽  
Edwaldo Dourado ◽  
Emanuel Dias de Oliveira e Silva ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
pp. 9-13
Author(s):  
Saleh Jafarian ◽  
Ali Ahmadi ◽  
Masoud Amiri ◽  
Rahman Biokani ◽  
Zohreh Abbaspour ◽  
...  

Background and aims: Motorcycle accidents are a major concern for countries. One of the most important risk factors for motorcyclists is the lack of helmet use. This study aimed to measure the rate of the helmet use and predictive factors in Shahrekord, Iran. Methods: Using simple random sampling method, this cross-sectional study was conducted in 2018 with a sample size of 350 motorcyclists. A researcher-made questionnaire was used to collect data, and the SPSS software version 24 was used to analyze the data. Results: The mean age of participants was 28.8 ± 10.1 years. Out of 350 participants, 15.1% and 1.4% of motorcyclists and their passengers used helmets. The most important predictors of helmet use were age more than 35 years, high education, and having a driving license. The most important reason for using the helmet was protection against injuries in accidents. Conclusion: According to our results, the rate of helmet use was low. Thus, more efforts should be made to intervene and train for the helmet use among community members with an emphasis on younger people, individuals with governmental jobs, and people with lower education level.


2021 ◽  
Vol 10 (15) ◽  
pp. 3359
Author(s):  
Emilian Spörri ◽  
Sascha Halvachizadeh ◽  
Jamison G. Gamble ◽  
Till Berk ◽  
Florin Allemann ◽  
...  

Background: Electric bicycles (E-bikes) are an increasingly popular means of transport, and have been designed for a higher speed comparable to that of small motorcycles. Accident statistics show that E-bikes are increasingly involved in traffic accidents. To test the hypothesis of whether accidents involving E-bikes bear more resemblance to motorcycle accidents than conventional bicyclists, this study evaluates the injury pattern and severity of E-bike injuries in direct comparison to injuries involving motorcycle and bicycle accidents. Methods: In this retrospective cohort study, the data of 1796 patients who were treated at a Level I Trauma Center between 2009 and 2018 due to traffic accident, involving bicycles, E-bikes or motorcycles, were evaluated and compared with regard to injury patterns and injury severity. Accident victims treated as inpatients at least 16 years of age or older were included in this study. Pillion passengers and outpatients were excluded. Results: The following distribution was found in the individual groups: 67 E-bike, 1141 bicycle and 588 motorcycle accidents. The injury pattern of E-bikers resembled that of bicyclists much more than that of motorcyclists. The patients with E-bike accidents were almost 14 years older and had a higher incidence of moderate traumatic brain injuries than patients with bicycle accidents, in spite of the fact that E-bike riders were nearly twice as likely to wear a helmet as compared to bicycle riders. The rate of pelvic injuries in E-bike accidents was twice as high compared with bicycle accidents, whereas the rate of upper extremity injuries was higher following bicycle accidents. Conclusion: The overall E-bike injury pattern is similar to that of cyclists. The differences in the injury pattern to motorcycle accidents could be due to the higher speeds at the time of the accident, the different protection and vehicle architecture. What is striking, however, is the higher age and the increased craniocerebral trauma of the E-bikers involved in accidents compared to the cyclists. We speculate that older and untrained people who have a slower reaction time and less control over the E-bike could benefit from head protection or practical courses similar to motorcyclists.


2021 ◽  
Vol 108 (Supplement_4) ◽  
Author(s):  
E Spörri ◽  
H -C Pape ◽  
T Rauer

Abstract Objective Electric bicycles (E-bikes) are an increasingly popular means of transport, especially in the current Covid-19 pandemic situation. Accident statistics show that E-bikes are growingly involved in traffic accidents. This study evaluates the injury pattern and severity of E-bike injuries in direct comparison to injuries in motorcycle and bicycle accidents. Methods In a retrospective cohort study, the data of 1796 patients who were treated at a Level I Trauma Center between 2009 and 2018 due to traffic accident, involving bicycles, E-bikes or motorcycles, were evaluated and compared with regard to injury patterns and injury severity. Accident victims treated as inpatients with at least 16 years of age were included in this study. Pillion passengers and outpatients were excluded. Results The following distribution was found in the individual groups: 67 E-bike, 1141 bicycle and 588 motorcycle accidents. The injury pattern of E-bikers resembled that of bicyclists much more than that of motorcyclists. The patients with E-bike accidents were almost 14 years older and had a higher incidence of moderate traumatic brain injuries than patients with bicycle accidents. Considering the E-bike riders wore nearly twice as often a helmet as bicycle riders. In comparison, the motorcyclists involved in an accident had fewer facial injuries, but more frequent and more serious injuries to the spine, abdomen and lower extremities. Conclusion The overall E-bike injury pattern is similar to that of cyclists. The differences in the injury pattern to motorcycle accidents could be due to the higher speeds at the time of the accident, the different protection and vehicle architecture. What is striking, however, is the higher age and the increased craniocerebral trauma of the E-bikers involved in accidents compared to the cyclists. Older and untrained people who have a slower reaction time and less control over the E-bike could benefit from head protection or practical courses similar to motorcyclists.


2018 ◽  
Vol 29 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Nicolas Bailly ◽  
Jean-Dominique Laporte ◽  
Sanae Afquir ◽  
Catherine Masson ◽  
Thierry Donnadieu ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Latha Ganti ◽  
Aakash N. Bodhit ◽  
Yasamin Daneshvar ◽  
Pratik Shashikant Patel ◽  
Christa Pulvino ◽  
...  

Objective. To study the impact of helmet use on outcomes after recreational vehicle accidents.Methods. This is an observational cohort of adult and pediatric patients who sustained a TBI while riding a recreational vehicle. Recreational vehicles included bicycles, motorcycles, and all-terrain vehicles (ATVs), as well as a category for other vehicles such as skateboards and scooters.Results. Lack of helmet use was significantly associated with having a more severe traumatic brain injury and being admitted to the hospital. Similarly, 25% of those who did wearing a helmet were admitted to the ICU versus 36% of those who did not (P=0.0489). The hospital length of stay was significantly greater for patients who did not use helmets.Conclusion. Lack of helmet use is significantly correlated with abnormal neuroimaging and admission to the hospital and ICU; these data support a call for action to implement more widespread injury prevention and helmet safety education and advocacy.


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