Journal of pediatric surgery
October 15, 2026 · via Europe PMC
Why Kids Crash: Risk Factors for Pediatric E-Bike Injuries in California.
Joachim A, Schomberg J, Ignacio RC, Lawrence A, Goodman LF.
AI summary — for doctors, generated from the abstract only
Pediatric e-bike crashes in California were often tied to rider behavior, and serious injuries were associated with no helmet use and low-light conditions; some statistics are cut off in the abstract.
What was studied
Retrospective analysis of police-reported e-bike collisions involving riders 18 or younger in the California SWITRS database (2021-2025), stratified by injury severity.
Key findings
- 878 pediatric e-bike crashes were identified, with median rider age 14 years and 79.4% male
- 69 crashes (7.8%) caused serious injury, 491 (55.9%) minor injury and 177 (20.1%) possible injury; 141 (16.0%) had unknown status
- Riders with serious injuries were less likely to be helmeted and more likely to crash in low-light conditions (p-value truncated in the abstract)
Clinical relevance
Supports targeted education, helmet promotion and policy measures for young riders and drivers.
Who should care
Limitations
Police-reported data likely undercount minor crashes, 16.0% had unknown injury status, and the abstract is truncated so some statistics are unavailable.
Helmet use and lighting conditions relate to injury severity in pediatric e-bike crashes, suggesting prevention targets.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Background
Electric bikes (e-bikes) are increasingly popular, particularly among pediatric riders, and pose a greater risk of serious injury than traditional bicycles due to their higher speeds. However, limited data exist regarding traffic and environmental conditions associated with pediatric e-bike crashes. This study aims to characterize the circumstances surrounding these collisions to better understand risk factors contributing to e-bike crashes.
Methods
A retrospective analysis was conducted of police-reported e-bike collisions involving riders ≤18 years recorded in the Statewide Integrated Traffic Records System (SWITRS) between 2021-2025. Demographic characteristics, roadway conditions, and collision data were analyzed and stratified by injury severity.
Results
878 pediatric e-bike crashes were identified. Median rider age was 14 years (IQR 13-15) and most were male (79.4%). 69 crashes (7.8%) resulted in serious injury, 491 (55.9%) in minor injury, 177 (20.1%) in possible injury, and 141 (16.0%) had an unknown injury status. Riders sustaining serious injuries were less likely to be helmeted and more likely to be involved in collisions in low-light conditions (p <0.0001 for both). Cyclists were reported at fault for 62.1% of accidents, with 12.1% involving e-bikers practicing unsafe riding practices. Hit-and-run accidents accounted for 8.8% of crashes.
Conclusion
Pediatric e-bike crashes are frequently attributable to rider behavior. Crashes occurring in low-light conditions or involving riders without helmets are associated with greater injury severity. These findings highlight opportunities for targeted education and policy intervention for riders and drivers to reduce the number and severity of pediatric e-bike collisions.
DOI
10.1016/j.jpedsurg.2026.163552
PMID
42880489
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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