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Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan
University neighborhoods in Taiwan have high-volume traffic, which may increase motorcyclists’ risk of injury. However, few studies have analyzed the environmental factors affecting motorcycle crash injury severity in university neighborhoods. In this multicenter cross-sectional study, we explored t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407754/ https://www.ncbi.nlm.nih.gov/pubmed/36011909 http://dx.doi.org/10.3390/ijerph191610274 |
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author | Lin, Heng-Yu Li, Jian-Sing Pai, Chih-Wei Chien, Wu-Chien Huang, Wen-Cheng Hsu, Chin-Wang Wu, Chia-Chieh Yu, Shih-Hsiang Chiu, Wen-Ta Lam, Carlos |
author_facet | Lin, Heng-Yu Li, Jian-Sing Pai, Chih-Wei Chien, Wu-Chien Huang, Wen-Cheng Hsu, Chin-Wang Wu, Chia-Chieh Yu, Shih-Hsiang Chiu, Wen-Ta Lam, Carlos |
author_sort | Lin, Heng-Yu |
collection | PubMed |
description | University neighborhoods in Taiwan have high-volume traffic, which may increase motorcyclists’ risk of injury. However, few studies have analyzed the environmental factors affecting motorcycle crash injury severity in university neighborhoods. In this multicenter cross-sectional study, we explored the factors that increase the severity of such injuries, especially among young adults. We retrospectively connected hospital data to the Police Traffic Accident Dataset. Areas within 500 m of a university were considered university neighborhoods. We analyzed 4751 patients, including 513 with severe injury (injury severity score ≥ 8). Multivariate analysis revealed that female sex, age ≥ 45 years, drunk driving, early morning driving, flashing signals, and single-motorcycle crashes were risk factors for severe injury. Among patients aged 18–24 years, female sex, late-night and afternoon driving, and flashing signals were risk factors. Adverse weather did not increase the risk. Time to hospital was a protective factor, reflecting the effectiveness of urban emergency medical services. Lifestyle habits among young adults, such as drunk driving incidents and afternoon and late-night driving, were also explored. We discovered that understanding chaotic traffic in the early morning, flashing signals at the intersections, and roadside obstacles is key for mitigating injury severity from motorcycle crashes in university neighborhoods. |
format | Online Article Text |
id | pubmed-9407754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94077542022-08-26 Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan Lin, Heng-Yu Li, Jian-Sing Pai, Chih-Wei Chien, Wu-Chien Huang, Wen-Cheng Hsu, Chin-Wang Wu, Chia-Chieh Yu, Shih-Hsiang Chiu, Wen-Ta Lam, Carlos Int J Environ Res Public Health Article University neighborhoods in Taiwan have high-volume traffic, which may increase motorcyclists’ risk of injury. However, few studies have analyzed the environmental factors affecting motorcycle crash injury severity in university neighborhoods. In this multicenter cross-sectional study, we explored the factors that increase the severity of such injuries, especially among young adults. We retrospectively connected hospital data to the Police Traffic Accident Dataset. Areas within 500 m of a university were considered university neighborhoods. We analyzed 4751 patients, including 513 with severe injury (injury severity score ≥ 8). Multivariate analysis revealed that female sex, age ≥ 45 years, drunk driving, early morning driving, flashing signals, and single-motorcycle crashes were risk factors for severe injury. Among patients aged 18–24 years, female sex, late-night and afternoon driving, and flashing signals were risk factors. Adverse weather did not increase the risk. Time to hospital was a protective factor, reflecting the effectiveness of urban emergency medical services. Lifestyle habits among young adults, such as drunk driving incidents and afternoon and late-night driving, were also explored. We discovered that understanding chaotic traffic in the early morning, flashing signals at the intersections, and roadside obstacles is key for mitigating injury severity from motorcycle crashes in university neighborhoods. MDPI 2022-08-18 /pmc/articles/PMC9407754/ /pubmed/36011909 http://dx.doi.org/10.3390/ijerph191610274 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Heng-Yu Li, Jian-Sing Pai, Chih-Wei Chien, Wu-Chien Huang, Wen-Cheng Hsu, Chin-Wang Wu, Chia-Chieh Yu, Shih-Hsiang Chiu, Wen-Ta Lam, Carlos Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title | Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title_full | Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title_fullStr | Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title_full_unstemmed | Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title_short | Environmental Factors Associated with Severe Motorcycle Crash Injury in University Neighborhoods: A Multicenter Study in Taiwan |
title_sort | environmental factors associated with severe motorcycle crash injury in university neighborhoods: a multicenter study in taiwan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407754/ https://www.ncbi.nlm.nih.gov/pubmed/36011909 http://dx.doi.org/10.3390/ijerph191610274 |
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