Bibliographic record
Abstract
Bicycle helmets work. I've tested them. Sometimes, the most innocent ride can result in a crash, and the consequences can range from something relatively harmless to emergency room quality. As an example, our small group of 4 cyclists rode through a residential area when a dog ran out of a yard and into our group. The dog hit my front wheel causing me to be flung over my handlebars. The front of my helmet took the entire brunt of 70 kg traveling 30 kph. My first response was hoping that nobody would ask me to count backwards by sevens, since I normally don't do very well. The crash was no big deal this time. The incident with the dog was very similar to a previous experience with a young child. He ran from the sidewalk into my line of travel on the road. In that incident, 70 kg was moving at over 50 kph. I launched myself over the handle bars and over the child. Both of us were a little shaken, but we were both fine otherwise. Trees, rocks, and cars have provided other test modes over the years. In other crashes, my bike has slid out from under me because of oil, leaves, gravel, road edges, and flat tires. So far, the helmets have won the skirmishes even though other parts of my anatomy haven't fared so well. Goudie and Page1 provide an update of the Canadian Academy of Sport and Exercise Medicine (CASEM) position statement on mandatory helmet laws. They provide support for the premise that wearing a bicycle helmet is a risk-moderating behavior. The authors draw from Canadian studies, Cochrane Library reviews, and representative peer-reviewed literature, as well as professional opinions. The authors reiterate the summary of an earlier paper by Thompson et al2 that states “helmets reduce bicycle-related head and facial injuries for bicyclists of all ages involved in all types of crashes, including those involving motor vehicles.” The position statement is an important public reinforcement of safe cycling standards. For the clinician, the reference list provided by the Goudie and Page1 review is not as extensive or as current as it could be. Also, the controversies are not as well described as they might be. At the risk of reducing this editorial to another review, current references in support of helmet use and legislation are included here, along with some information on finding arguments against these premises. Generally, recent literature provides additional support from around the world. Boufous et al3 studied 6432 cyclist crashes in Victoria, Australia. According to the authors, their data “indicates the need for further promotion and enforcement of helmet use, particularly among children.” Olivier et al4 concluded that their study shows that the beneficial effect of mandatory helmet laws in New South Wales has been maintained over 2 decades. Gomei et al5 concluded that “to effectively reduce bicyclist fatalities from traffic accidents (in Japan), helmet use should be required for all bicyclists.” Observational studies remain the foundation of the helmet/no helmet discussions. In addition to observational studies, a recent modeling study found that bicycle helmets reduced the probability of head and neck injuries, and helmets did not have negative implications for severity.6 Bicycle education and helmet promotion programs, with all of their effectiveness issues, can be beneficial.7,8 However, helmet usage programs by themselves do not generate the adherence that can prevent a significant number of tragedies. A recent Canadian study9 of school-aged children found that among bicycle riders, 43% reported never wearing and 32% inconsistently wearing a helmet. While it is simplistic to say the legislation will solve this problem, laws seem to help. Karkhaneh et al10 reviewed 41 270 emergency room visits and 2782 hospitalizations for bicyclists in Alberta, Canada. Comparing bicyclist and pedestrian trends in head injuries suggested a bicycle helmet legislation effect. All the positive press isn't the entire story though. For all the recent literature, one merely needs to “people-watch” and read more deeply in the literature to understand that reality is a little more complex. Yesterday, a young person in scrubs rode their bicycle through the “No Cycling - Pedestrian Zone” in front of the University of Washington Medical Center. Music was audible from their headphones. They weren't wearing a helmet. How ironic if, after counseling patients on behavioral health risks, they acquired a traumatic brain injury falling off a bicycle without a helmet. I felt compelled to ask what other rule-breaking behaviors she would demonstrate that day, but I just walked past her. Are you, the healthcare professional, saying something by not saying something? Patients, the public, and other healthcare professionals are looking to you as a resource and role model. Not bringing attention to helmet use during sports suggests acceptance of the behavior. Like any other risky health behavior, in sports with head impact steps for risk modification such as helmet adherence should be stated and restated. The CASEM position statement does this very clearly. Healthcare professionals should have ready access to this position statement, knowledge of other supporting literature (as well as the controversies), patient education materials, and contact information for local programs that support the CASEM position statement objectives. For example, in Seattle, we have the Kohl's bike, ski, snowboard and multisport helmet program at Seattle Children's Hospital.11 Interestingly, the CASEM position statement does not mention mountain bikes or differences in various cycling sports. The most recent study of mountain biking and helmets was identified through a PubMed search.12 In that observational study, only 1 of the injured cyclists was not wearing a helmet. The authors remark that the high level of helmet use by mountain bike enthusiasts demonstrates the utility of protective equipment. They also remark that “of those whose helmet shattered on impact, 68% suffered no head injury, suggesting that modern helmets afford the wearer good protection.” Unfortunately, cohort studies lend themselves to multiple interpretations. The current CASEM position statement is not an unbiased academic paper, and it is difficult to find meaningful discussion of alternative interpretations and contrary perspectives or issues. Importantly, one must consider the opposing arguments regarding the efficacy and effectiveness of helmets, and even alternate mechanisms of injury, that have been raised repeatedly. For example, Dennis et al13 concluded that “the incremental contribution of provincial helmet legislation to reduce hospital admissions for head injuries seems to have been minimal.” For a broad overview of the issues opposing helmet promotion and helmet laws see CycleHelmets.org.14 This group keeps a running list of literature that “cast doubt on the effectiveness of cycle helmets in reducing head injuries…, or on the wisdom of helmet promotion or laws.” Realistically, I understand the effects of fashion, comfort, cost, convenience, herd behaviors, and controversial issues. Like seat belts, all that controversy with helmets will hopefully provide better equipment and safety in the long run. At the end of the day though, my current experience and review of the literature support mandatory use of helmets. The United States National Highway Traffic Safety Administration simply says: “Everyone, regardless of age or cycling experience, should wear a bike helmet.”15 Promotion of healthy behaviors, such as cycling, should be accompanied by patient education on risk-minimization like helmets, lights at night, and safer routes. If you don't say something, you're saying something.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.222 | 0.139 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".