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The temporal trend of road traffic mortality in China from 2004 to 2020()

BACKGROUND: Road traffic accidents are one of the critical disasters that cause massive negative influences to the social economy and people's property, health and life safety. The purpose of this study is to analyze the temporal trend of road traffic mortality in China from 2004 to 2020, and f...

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Autores principales: Ren, Kehao, Miao, Lipeng, Lyu, Juncheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597791/
https://www.ncbi.nlm.nih.gov/pubmed/37885752
http://dx.doi.org/10.1016/j.ssmph.2023.101527
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author Ren, Kehao
Miao, Lipeng
Lyu, Juncheng
author_facet Ren, Kehao
Miao, Lipeng
Lyu, Juncheng
author_sort Ren, Kehao
collection PubMed
description BACKGROUND: Road traffic accidents are one of the critical disasters that cause massive negative influences to the social economy and people's property, health and life safety. The purpose of this study is to analyze the temporal trend of road traffic mortality in China from 2004 to 2020, and further analyze the key factors that the influencing changes in China's road traffic mortality and provides information for the development of targeted interventions to reduce the number of preventable deaths. METHODS: The data were retrieved from the Chinese Death Cause Monitoring Data Set from 2004 to 2020. The road traffic mortality rates were standardized by the Sixth National Population Census (6th NPC) data. Joinpoint regression method was manipulated to analyze temporal trends of standardized road traffic mortality. The study used annual percentage change (APC) and average annual percentage change (AAPC) calculated by the Joinpoint regression model to describe trends in road traffic mortality rates. RESULTS: The overall age-adjusted road traffic mortality in China showed a declining trend from 2004 to 2020 (AAPC(2004-2020) = - 4.2%), from 20.9 to 12.92 per 100,000. Rural road traffic mortality rates were generally higher than the one in urban areas, and males were generally higher than females. There was an overall downward trend of the standardized road traffic mortality in the East and Central regions between 2004 and 2020. It was worth noting that the road traffic mortality rates in the Western region showed an upward trend from 2006 to 2011 (APC(2006-2011) = 3.3%) and continued to decline after 2011 (APC(2011-2020) = - 6.7%). The road traffic mortality rates of aged 65 years and older was highest, which required focused attention. CONCLUSIONS: From 2004 to 2020, the road traffic mortality rates in China generally declined. At the same time, there was a slow reduction or even an upward trend in road traffic mortality rates among the elderly and in western regions. Rural males are a priority group for road traffic injury prevention.
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spelling pubmed-105977912023-10-26 The temporal trend of road traffic mortality in China from 2004 to 2020() Ren, Kehao Miao, Lipeng Lyu, Juncheng SSM Popul Health Regular Article BACKGROUND: Road traffic accidents are one of the critical disasters that cause massive negative influences to the social economy and people's property, health and life safety. The purpose of this study is to analyze the temporal trend of road traffic mortality in China from 2004 to 2020, and further analyze the key factors that the influencing changes in China's road traffic mortality and provides information for the development of targeted interventions to reduce the number of preventable deaths. METHODS: The data were retrieved from the Chinese Death Cause Monitoring Data Set from 2004 to 2020. The road traffic mortality rates were standardized by the Sixth National Population Census (6th NPC) data. Joinpoint regression method was manipulated to analyze temporal trends of standardized road traffic mortality. The study used annual percentage change (APC) and average annual percentage change (AAPC) calculated by the Joinpoint regression model to describe trends in road traffic mortality rates. RESULTS: The overall age-adjusted road traffic mortality in China showed a declining trend from 2004 to 2020 (AAPC(2004-2020) = - 4.2%), from 20.9 to 12.92 per 100,000. Rural road traffic mortality rates were generally higher than the one in urban areas, and males were generally higher than females. There was an overall downward trend of the standardized road traffic mortality in the East and Central regions between 2004 and 2020. It was worth noting that the road traffic mortality rates in the Western region showed an upward trend from 2006 to 2011 (APC(2006-2011) = 3.3%) and continued to decline after 2011 (APC(2011-2020) = - 6.7%). The road traffic mortality rates of aged 65 years and older was highest, which required focused attention. CONCLUSIONS: From 2004 to 2020, the road traffic mortality rates in China generally declined. At the same time, there was a slow reduction or even an upward trend in road traffic mortality rates among the elderly and in western regions. Rural males are a priority group for road traffic injury prevention. Elsevier 2023-10-05 /pmc/articles/PMC10597791/ /pubmed/37885752 http://dx.doi.org/10.1016/j.ssmph.2023.101527 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Ren, Kehao
Miao, Lipeng
Lyu, Juncheng
The temporal trend of road traffic mortality in China from 2004 to 2020()
title The temporal trend of road traffic mortality in China from 2004 to 2020()
title_full The temporal trend of road traffic mortality in China from 2004 to 2020()
title_fullStr The temporal trend of road traffic mortality in China from 2004 to 2020()
title_full_unstemmed The temporal trend of road traffic mortality in China from 2004 to 2020()
title_short The temporal trend of road traffic mortality in China from 2004 to 2020()
title_sort temporal trend of road traffic mortality in china from 2004 to 2020()
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597791/
https://www.ncbi.nlm.nih.gov/pubmed/37885752
http://dx.doi.org/10.1016/j.ssmph.2023.101527
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