Literature DB >> 24686160

Bicycle helmets are highly effective at preventing head injury during head impact: head-form accelerations and injury criteria for helmeted and unhelmeted impacts.

Peter A Cripton1, Daniel M Dressler2, Cameron A Stuart3, Christopher R Dennison4, Darrin Richards3.   

Abstract

Cycling is a popular form of recreation and method of commuting with clear health benefits. However, cycling is not without risk. In Canada, cycling injuries are more common than in any other summer sport; and according to the US National Highway and Traffic Safety Administration, 52,000 cyclists were injured in the US in 2010. Head injuries account for approximately two-thirds of hospital admissions and three-quarters of fatal injuries among injured cyclists. In many jurisdictions and across all age levels, helmets have been adopted to mitigate risk of serious head injuries among cyclists and the majority of epidemiological literature suggests that helmets effectively reduce risk of injury. Critics have raised questions over the actual efficacy of helmets by pointing to weaknesses in existing helmet epidemiology including selection bias and lack of appropriate control for the type of impact sustained by the cyclist and the severity of the head impact. These criticisms demonstrate the difficulty in conducting epidemiology studies that will be regarded as definitive and the need for complementary biomechanical studies where confounding factors can be adequately controlled. In the bicycle helmet context, there is a paucity of biomechanical data comparing helmeted to unhelmeted head impacts and, to our knowledge, there is no data of this type available with contemporary helmets. In this research, our objective was to perform biomechanical testing of paired helmeted and unhelmeted head impacts using a validated anthropomorphic test headform and a range of drop heights between 0.5m and 3.0m, while measuring headform acceleration and Head Injury Criterion (HIC). In the 2m (6.3m/s) drops, the middle of our drop height range, the helmet reduced peak accelerations from 824g (unhelmeted) to 181g (helmeted) and HIC was reduced from 9667 (unhelmeted) to 1250 (helmeted). At realistic impact speeds of 5.4m/s (1.5m drop) and 6.3m/s (2.0m drop), bicycle helmets changed the probability of severe brain injury from extremely likely (99.9% risk at both 5.4 and 6.3m/s) to unlikely (9.3% and 30.6% risk at 1.5m and 2.0m drops respectively). These biomechanical results for acceleration and HIC, and the corresponding results for reduced risk of severe brain injury show that contemporary bicycle helmets are highly effective at reducing head injury metrics and the risk for severe brain injury in head impacts characteristic of bicycle crashes.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bicycle; Brain injury; Concussion; Helmet; Injury prevention

Mesh:

Year:  2014        PMID: 24686160     DOI: 10.1016/j.aap.2014.02.016

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  21 in total

1.  An Analysis of Technology-Related Distracted Biking Behaviors and Helmet Use Among Cyclists in New York City.

Authors:  Danna Ethan; Corey H Basch; Glen D Johnson; Rodney Hammond; Ching Man Chow; Victoria Varsos
Journal:  J Community Health       Date:  2016-02

2.  Evolution of mantis shrimp telson armour and its role in ritualized fighting.

Authors:  Jennifer R A Taylor; Nina I Scott; Greg W Rouse
Journal:  J R Soc Interface       Date:  2019-08-28       Impact factor: 4.118

3.  Reporting of Concussion-Like Symptoms After Cycling Crashes: A Survey of Competitive and Recreational Cyclists.

Authors:  Sarah Rice; Mary Alexis Iaccarino; Saurabha Bhatnagar; Greg Robidoux; Ross Zafonte; Dana H Kotler
Journal:  J Athl Train       Date:  2019-12-19       Impact factor: 2.860

4.  Bicycle helmet use among persons 5years and older in the United States, 2012.

Authors:  Amy Jewett; Laurie F Beck; Christopher Taylor; Grant Baldwin
Journal:  J Safety Res       Date:  2016-10-04

5.  American Football Helmet Effectiveness Against a Strain-Based Concussion Mechanism.

Authors:  Kianoosh Ghazi; Mark Begonia; Steven Rowson; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2022-07-11       Impact factor: 4.219

6.  A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact.

Authors:  Henry Y Yu; Brooklynn M Knowles; Christopher R Dennison
Journal:  J Vis Exp       Date:  2017-09-21       Impact factor: 1.355

7.  School transportation mode, by distance between home and school, United States, ConsumerStyles 2012.

Authors:  Laurie F Beck; Daniel D Nguyen
Journal:  J Safety Res       Date:  2017-04-19

8.  A New Assessment of Bicycle Helmets: The Brain Injury Mitigation Effects of New Technologies in Oblique Impacts.

Authors:  Fady Abayazid; Ke Ding; Karl Zimmerman; Helena Stigson; Mazdak Ghajari
Journal:  Ann Biomed Eng       Date:  2021-05-10       Impact factor: 3.934

9.  Severity of urban cycling injuries and the relationship with personal, trip, route and crash characteristics: analyses using four severity metrics.

Authors:  Peter A Cripton; Hui Shen; Jeff R Brubacher; Mary Chipman; Steven M Friedman; M Anne Harris; Meghan Winters; Conor C O Reynolds; Michael D Cusimano; Shelina Babul; Kay Teschke
Journal:  BMJ Open       Date:  2015-01-05       Impact factor: 2.692

10.  Injuries Due to Wedging of Bicycle Wheels in On-road Tram Tracks.

Authors:  Jaap Deunk; Annelieke M K Harmsen; Casper P Schonhuth; Frank W Bloemers
Journal:  Arch Trauma Res       Date:  2014-11-19
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