Background: While the efficacy of helmet use in the prevention of head injury is well described, helmet use as it relates to bicyclists' behaviors and hospital resource use following injury is less defined. The objective of this study was to compare the demographics, behaviors, hospital workups, and outcomes of bicyclists based on helmet use.
Methods: This study was a subset analysis of a 2.5-year prospective cohort study of vulnerable roadway users conducted at Bellevue Hospital Center, a New York City Level 1 trauma center. All bicyclists with known helmet status were included. Demographics, insurance type, traffic law compliance, alcohol use, Glasgow Coma Scale (GCS) score, initial imaging studies, Abbreviated Injury Scale (AIS) score, Injury Severity Score (ISS), admission status, length of stay, disposition, and mortality were assessed. Information was obtained primarily from patients; witnesses and first responders provided additional information.
Results: Of 374 patients, 113 (30.2%) were wearing helmets. White bicyclists were more likely to wear helmets; black bicyclists were less likely (p = 0.037). Patients with private insurance were more likely to wear helmets, those with Medicaid or no insurance were less likely (p = 0.027). Helmeted bicyclists were more likely to ride with the flow of traffic (97.2%) and within bike lanes (83.7%) (p < 0.001 and p = 0.013, respectively). Nonhelmeted bicyclists were more likely to ride against traffic flow (p = 0.003). There were no statistically significant differences in mean GCS score, AIS score, and mean ISS for helmeted versus nonhelmeted bicyclists. Nonhelmeted patients were more likely to have head computed tomographic scans (p = 0.049) and to be admitted (p = 0.030).
Conclusion: Helmet use is an indicator of safe riding practices, although most injured bicyclists do not wear them. In this study, helmet use was associated with lower likelihood of head CTs and admission, leading to less hospital resource use. Injured riders failing to wear helmets should be targeted for educational programs.
Level Of Evidence: Epidemiologic study, level III.
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http://dx.doi.org/10.1097/TA.0b013e3182a85f97 | DOI Listing |
JAMA Intern Med
January 2025
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston.
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Department of Emergency Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
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Rheumatology Department, Parc Taulí University Hospital. Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Parc Taulí, 1, Sabadell, 08208, Barcelona, Spain.
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View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Pharmacology, MGM Medical College & Hospital, MGM Institute of Health Sciences (MGMIHS), Nerul, Navi Mumbai, 400706, India.
Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy robot, a potential artificial womb capable of carrying a fetus from fertilization to birth. This innovation, by simulating the natural uterine environment, could redefine pregnancy and parenthood, offering transformative benefits for maternal and infant health. The pregnancy robot promises safer pathways for individuals with medical risks, LGBTQ + couples, and single parents, while also reducing the risks of complications like preeclampsia and preterm birth.
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