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Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents

BACKGROUND: The patterns and risk factors of intentional injuries compared to unintentional injuries among Chinese children and adolescents have not been examined in depth. This work comprehensively describes patterns of intentional injuries in China, for which little information has been previously...

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Autores principales: Yin, Xiling, Li, Deyun, Zhu, Kejing, Liang, Xiaodong, Peng, Songxu, Tan, Aijun, Du, Yukai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661334/
https://www.ncbi.nlm.nih.gov/pubmed/31708510
http://dx.doi.org/10.2188/jea.JE20190152
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author Yin, Xiling
Li, Deyun
Zhu, Kejing
Liang, Xiaodong
Peng, Songxu
Tan, Aijun
Du, Yukai
author_facet Yin, Xiling
Li, Deyun
Zhu, Kejing
Liang, Xiaodong
Peng, Songxu
Tan, Aijun
Du, Yukai
author_sort Yin, Xiling
collection PubMed
description BACKGROUND: The patterns and risk factors of intentional injuries compared to unintentional injuries among Chinese children and adolescents have not been examined in depth. This work comprehensively describes patterns of intentional injuries in China, for which little information has been previously published. METHODS: All cases involving individuals 0–17 years old registered at emergency rooms and outpatient clinics were examined using data submitted to the National Injury Surveillance System from 2006 through 2017. A logistic regression model was performed to explore the risk factors related to intentional injuries compared to unintentional injuries. RESULTS: A total of 81,459 (95.1%) unintentional injuries, 4,218 (4.9%) intentional injuries (4,013 violent attacks and 205 self-mutilation/suicide) cases were identified. Blunt injuries accounted for 59.4% of violent attacks, while cuts and poisoning accounted for 37.1% and 23.4% of injuries involving self-mutilation/suicide, respectively. For unintentional injuries, falls (50.4%) ranked first. Additional risk factors for intentional injuries included being male (odds ratio [OR] 1.6), coming from rural areas (OR 1.9), being staff or workers (OR 2.2), and being a student (OR 1.8). As the age of the patients increased, so did the risk of intentional injuries (OR 5.0 in the 15–17 age group). Intentional injuries were more likely to occur at 00:00–03:00 am (OR 2.0). CONCLUSIONS: Intentional injuries affected more males, rural and older children, school students, and staff or workers. The mechanisms and occurrence times differed according to age group. Preventive measures should be taken to reduce the dropout of rural students, strengthen the school’s violence prevention plan, and reduce self-harm.
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spelling pubmed-76613342020-12-05 Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents Yin, Xiling Li, Deyun Zhu, Kejing Liang, Xiaodong Peng, Songxu Tan, Aijun Du, Yukai J Epidemiol Original Article BACKGROUND: The patterns and risk factors of intentional injuries compared to unintentional injuries among Chinese children and adolescents have not been examined in depth. This work comprehensively describes patterns of intentional injuries in China, for which little information has been previously published. METHODS: All cases involving individuals 0–17 years old registered at emergency rooms and outpatient clinics were examined using data submitted to the National Injury Surveillance System from 2006 through 2017. A logistic regression model was performed to explore the risk factors related to intentional injuries compared to unintentional injuries. RESULTS: A total of 81,459 (95.1%) unintentional injuries, 4,218 (4.9%) intentional injuries (4,013 violent attacks and 205 self-mutilation/suicide) cases were identified. Blunt injuries accounted for 59.4% of violent attacks, while cuts and poisoning accounted for 37.1% and 23.4% of injuries involving self-mutilation/suicide, respectively. For unintentional injuries, falls (50.4%) ranked first. Additional risk factors for intentional injuries included being male (odds ratio [OR] 1.6), coming from rural areas (OR 1.9), being staff or workers (OR 2.2), and being a student (OR 1.8). As the age of the patients increased, so did the risk of intentional injuries (OR 5.0 in the 15–17 age group). Intentional injuries were more likely to occur at 00:00–03:00 am (OR 2.0). CONCLUSIONS: Intentional injuries affected more males, rural and older children, school students, and staff or workers. The mechanisms and occurrence times differed according to age group. Preventive measures should be taken to reduce the dropout of rural students, strengthen the school’s violence prevention plan, and reduce self-harm. Japan Epidemiological Association 2020-12-05 /pmc/articles/PMC7661334/ /pubmed/31708510 http://dx.doi.org/10.2188/jea.JE20190152 Text en © 2019 Xiling Yin et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Yin, Xiling
Li, Deyun
Zhu, Kejing
Liang, Xiaodong
Peng, Songxu
Tan, Aijun
Du, Yukai
Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title_full Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title_fullStr Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title_full_unstemmed Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title_short Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents
title_sort comparison of intentional and unintentional injuries among chinese children and adolescents
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661334/
https://www.ncbi.nlm.nih.gov/pubmed/31708510
http://dx.doi.org/10.2188/jea.JE20190152
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