ArticleJournal of emergencies, trauma, and shock
Profiling Cycling Trauma throughout the Body with and Without Helmet Usage in a Large United States Health-care Network.
Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to characterize bodily injury patterns associated with helmet usage by comparing trauma sustained by helmeted and helmetless cyclists admitted to a large US health-care system. MATERIALS AND
methodsA prospective trauma registry associated with a large regional United States health-care network was queried for bicycle injuries resulting in hospital admission over a 5-year period. Data pertaining to helmet usage, demographics, injury description (s), Abbreviated Injury Scale score, Injury Severity Score, and hospital length of stay were collected from 140 patients treated for bicycle-related injuries. Mann-Whitney tests were performed.
resultsFifty-six of the injured cyclists were helmeted (40%) and 84 were not helmeted (60%). A significantly greater proportion of helmeted cyclists exhibited abrasions and a higher incidence of injury across all injury types (
conclusionWhile the helmeted and helmetless riders admitted to the emergency department exhibit few differences in injury patterns, when significant injury differences were detected, they were more prevalent in helmeted riders. These differences were represented by minor-to-moderate injuries relative to morbidity and mortality, suggesting that the trauma profile of the helmeted and helmetless riders is relatively comparable. Yet, helmetless wearers did have significantly longer hospital stays, which may indicate underlying health disparities and/or behavioral differences.
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