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Analysis of the regional distribution of road traffic mortality and associated factors in Japan
BACKGROUND: Regional differences in road traffic (RT) mortality among municipalities have not been revealed in Japan. Further, the association between RT mortality and regional socioeconomic characteristics has not been investigated. We analyzed geographic differences in RT mortality and its associa...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555252/ https://www.ncbi.nlm.nih.gov/pubmed/34711289 http://dx.doi.org/10.1186/s40621-021-00356-4 |
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author | Okui, Tasuku Park, Jinsang |
author_facet | Okui, Tasuku Park, Jinsang |
author_sort | Okui, Tasuku |
collection | PubMed |
description | BACKGROUND: Regional differences in road traffic (RT) mortality among municipalities have not been revealed in Japan. Further, the association between RT mortality and regional socioeconomic characteristics has not been investigated. We analyzed geographic differences in RT mortality and its associated factors using the Vital Statistics in Japan. METHODS: We used data on RT mortality by sex and municipality in Japan from 2013 to 2017. We calculated the standardized mortality ratio (SMR) of RT for each municipality by sex using an Empirical Bayes method. The SMRs were mapped onto a map of Japan to show the geographic differences. In addition, an ecological study investigated the municipal characteristics associated with the SMR using demographic socioeconomic, medical, weather, and vehicular characteristics as explanatory variables. The ecological study used a spatial statistical model. RESULTS: The mapping revealed that the number of municipalities with a high SMR of RT (SMR > 2) was larger in men than in women. In addition, SMRs of capital areas (Kanagawa and Tokyo prefectures) tended to be low in men and women. The regression analysis revealed that population density was negatively associated with the SMR in men and women, and the degree of the association was the largest among explanatory variables. In contrast, there was a positive association between the proportion of non-Japanese persons and SMR. The proportions of lower educational level (elementary school or junior high school graduates), agriculture, forestry, and fisheries workers, service workers, and blue-collar workers were positively associated with the SMR in men. The proportion of unemployed persons was negatively associated with the SMR in men. CONCLUSIONS: Socioeconomic characteristics are associated with geographic differences in RT mortality particularly in men. The results suggested preventive measures targeted at men of low socioeconomic status and non-Japanese persons are needed to decrease RT mortality further. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-021-00356-4. |
format | Online Article Text |
id | pubmed-8555252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85552522021-10-29 Analysis of the regional distribution of road traffic mortality and associated factors in Japan Okui, Tasuku Park, Jinsang Inj Epidemiol Original Contribution BACKGROUND: Regional differences in road traffic (RT) mortality among municipalities have not been revealed in Japan. Further, the association between RT mortality and regional socioeconomic characteristics has not been investigated. We analyzed geographic differences in RT mortality and its associated factors using the Vital Statistics in Japan. METHODS: We used data on RT mortality by sex and municipality in Japan from 2013 to 2017. We calculated the standardized mortality ratio (SMR) of RT for each municipality by sex using an Empirical Bayes method. The SMRs were mapped onto a map of Japan to show the geographic differences. In addition, an ecological study investigated the municipal characteristics associated with the SMR using demographic socioeconomic, medical, weather, and vehicular characteristics as explanatory variables. The ecological study used a spatial statistical model. RESULTS: The mapping revealed that the number of municipalities with a high SMR of RT (SMR > 2) was larger in men than in women. In addition, SMRs of capital areas (Kanagawa and Tokyo prefectures) tended to be low in men and women. The regression analysis revealed that population density was negatively associated with the SMR in men and women, and the degree of the association was the largest among explanatory variables. In contrast, there was a positive association between the proportion of non-Japanese persons and SMR. The proportions of lower educational level (elementary school or junior high school graduates), agriculture, forestry, and fisheries workers, service workers, and blue-collar workers were positively associated with the SMR in men. The proportion of unemployed persons was negatively associated with the SMR in men. CONCLUSIONS: Socioeconomic characteristics are associated with geographic differences in RT mortality particularly in men. The results suggested preventive measures targeted at men of low socioeconomic status and non-Japanese persons are needed to decrease RT mortality further. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-021-00356-4. BioMed Central 2021-10-28 /pmc/articles/PMC8555252/ /pubmed/34711289 http://dx.doi.org/10.1186/s40621-021-00356-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Original Contribution Okui, Tasuku Park, Jinsang Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title | Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title_full | Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title_fullStr | Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title_full_unstemmed | Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title_short | Analysis of the regional distribution of road traffic mortality and associated factors in Japan |
title_sort | analysis of the regional distribution of road traffic mortality and associated factors in japan |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555252/ https://www.ncbi.nlm.nih.gov/pubmed/34711289 http://dx.doi.org/10.1186/s40621-021-00356-4 |
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