Jodie Makara1, Sijun Shen2,3, Ann Nwosu2, William Arnold4,5, Gary Smith2,3, Motao Zhu6,7,8. 1. College of Medicine, The Ohio State University, Columbus, OH, USA. 2. The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA. 3. Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA. 4. Division of Neuromuscular Disorders Department of Neurology, Wexner Medical Center, The Ohio State University, Columbus, Ohio, USA. 5. Department of Physical Medicine and Rehabilitation, Wexner Medical Center, The Ohio State University, Columbus, OH, USA. 6. The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA. Motao.Zhu@nationwidechildrens.org. 7. Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA. Motao.Zhu@nationwidechildrens.org. 8. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA. Motao.Zhu@nationwidechildrens.org.
Abstract
BACKGROUND: Extremity injury is one of the most common injury types for bicyclists. Extremity injury can lead to long-term disability and contribute to adverse health-related quality of life and prolonged absence from work. OBJECTIVES: The objectives of our study were to identify crash factors associated with bicyclist upper and lower extremity injury and characterize type of extremity injury by bicyclist age category. METHODS: We linked the 2013-2017 Ohio police accident report and hospital databases. The logistic regression model was used to model the odds of sustaining upper or lower extremity injury among bicyclists involved in bicycle-vehicle crashes. Bicyclist upper and lower extremity injury were further described by the detailed injured body regions (e.g., forearm and elbow or lower leg) and the nature of injury (e.g., superficial or fracture). RESULTS: Bicyclists 65 years or older had higher odds (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.03-2.08) of sustaining upper extremity injury, bicyclists aged 3-14 years (OR = 1.34, 95% CI: 1.09-1.66) and 15-24 years (OR = 1.24, 95% CI: 1.03-1.49) had higher odds of sustaining lower extremity injury, compared to bicyclists 25-44 years old. In addition, colder weather, bicyclist sex, and intersection-related crashes were associated with bicyclists' odds of sustaining upper or lower extremity injury. Compared to individuals under 65 years old, bicyclists 65 years or older had a higher percentage of injury to the wrist, hand and finger, or knee. Bicyclists aged 65 years or older also had a higher percentage of fractures. CONCLUSIONS: Our study has identified important factors that were associated with bicyclists' odds of sustaining an extremity injury. Based on these findings, targeted educational efforts and interventions can be implemented to prevent bicyclists from these injuries.
BACKGROUND:Extremity injury is one of the most common injury types for bicyclists. Extremity injury can lead to long-term disability and contribute to adverse health-related quality of life and prolonged absence from work. OBJECTIVES: The objectives of our study were to identify crash factors associated with bicyclist upper and lower extremity injury and characterize type of extremity injury by bicyclist age category. METHODS: We linked the 2013-2017 Ohio police accident report and hospital databases. The logistic regression model was used to model the odds of sustaining upper or lower extremity injury among bicyclists involved in bicycle-vehicle crashes. Bicyclist upper and lower extremity injury were further described by the detailed injured body regions (e.g., forearm and elbow or lower leg) and the nature of injury (e.g., superficial or fracture). RESULTS: Bicyclists 65 years or older had higher odds (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.03-2.08) of sustaining upper extremity injury, bicyclists aged 3-14 years (OR = 1.34, 95% CI: 1.09-1.66) and 15-24 years (OR = 1.24, 95% CI: 1.03-1.49) had higher odds of sustaining lower extremity injury, compared to bicyclists 25-44 years old. In addition, colder weather, bicyclist sex, and intersection-related crashes were associated with bicyclists' odds of sustaining upper or lower extremity injury. Compared to individuals under 65 years old, bicyclists 65 years or older had a higher percentage of injury to the wrist, hand and finger, or knee. Bicyclists aged 65 years or older also had a higher percentage of fractures. CONCLUSIONS: Our study has identified important factors that were associated with bicyclists' odds of sustaining an extremity injury. Based on these findings, targeted educational efforts and interventions can be implemented to prevent bicyclists from these injuries.
Entities:
Keywords:
Accidents; Bicycling; Fractures; Hospital records
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