A 1996 article titled “Head Injuries and Bicycle Helmet Laws” published in Accident Analysis and Prevention is one of the most highly cited papers assessing the effect of helmet legislation. (148 citations, Google Scholar, 4 Sept 2014) Additionally, this seems to be the first article purportedly demonstrating a negative impact of such laws. The conclusions of this paper state
Consequently, a helmet law, whose most notable effect was to reduce cycling, may have generated a net loss of health benefits to the nation.
In this paper, secondary analyses were performed on data contained in other reports. I’ve pointed out in a previous paper that NSW adult cycling counts exist from sources cited in this paper although they are not presented. This is curious because the counts of adult cyclists from NSW helmet use surveys increased from pre- to post-helmet legislation which contradicts the conclusions of this paper. Adult cycling also increased by 44% in Victoria following helmet legislation.
Linda Ward has pointed to another issue with this paper regarding a comparison of the proportion of head injury hospitalizations to cyclists before and after legislation in Victoria. Some of the relevant data is given in Table 6. In this table, the proportion of head injuries are 31.4% for 1989/90 and 27.3% for 1990/91 for hospital admissions in Victoria. During this period, there are a total of n=2300 cycling hospitalizations. The author notes a comparison of these proportions is non-significant by a chi-square test.
The 2×2 table for this data can be reproduced using the source material. Figure 25 of this report gives “All Other Injuries” of about 900 for year 1989/90. This allows us to fill in the rest of the table given below.
|Year||Other Injury||Head Injury|
The frequencies of the other cells seem to correspond to the other values in Figure 25. The chi-square test for this table results in , and . This result could be influenced by the need to estimate the number of cases from a plot. We can assess the influence of this estimate by repeating the analysis for other values near 900. Choosing values from 890 to 910 results in the plot of p-values below.
As you can see, there is a statistically significant decline in head injury in each instance for cycling injury in Victoria before and after helmet legislation. R code to reproduce these results is given below.
This re-analysis has important ramifications. First, the author’s conclusions are not fully justified. Cycling head injuries fell at a rate greater than other cycling injuries following legislation. It is possible there was less cycling following legislation, but head injuries fell at a significantly greater rate. We also found this to be true in NSW in a 2011 paper. Secondly, organizations that have used this paper to justify their opposition to helmet legislation should reconsider their stance. This includes the Transport and Health Study Group (THSG) which is affiliated with the Journal of Transport and Health (JTH). Finally, the editors of Accident Analysis and Prevention and the journal’s publisher Elsevier should seriously investigate the reproducibility of the analyses in this paper with a keen eye for the information found in the source material that was not included in the paper.
Note: Dorothy Robinson is a patron and editorial board member of the anti-helmet organization Bicycle Helmet Research Foundation.
- Robinson, DL (1996) Head injuries and bicycle helmet laws. Accident Analysis and Prevention, 28, 463-475.
- Olivier J, Grzebieta R, Wang JJJ & Walter, S. (2013) Statistical Errors in Anti-Helmet Arguments. Proceedings of the Australasian College of Road Safety Conference. http://acrs.org.au/wp-content/uploads/26_Olivier_PR.pdf
- Cameron, M., Vulcan, AP, Finch, CF & Newstead, SV. (1994) Mandatory bicycle helmet use following a decade of helmet promotion in Victoria, Australia — An evaluation. Accident Analysis and Prevention, 26, 325-337.
- Cameron, M, Heiman, L & Neiger, D. (1992) Evaluation of the bicycle helmet wearing law in Victoria during its first 12 months. Report No. 32, Monash University Accident Research Centre.