Urban road traffic deaths: data linkage and identification of high-risk population sub-groups

Abstract This study analyzes the profile of deaths from road traffic accidents in Belo Horizonte, Minas Gerais State, Brazil, by linking two public databases, the Information System of the Urban Transportation and Transit Company (BH10) and the Mortality Information System (SIM). The linked database...

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Main Authors: Lúcia Maria Miana Mattos Paixão, Eliana Dias Gontijo, Sueli Aparecida Mingoti, Dário Alves da Silva Costa, Amélia Augusta de Lima Friche, Waleska Teixeira Caiaffa
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz 2015-11-01
Series:Cadernos de Saúde Pública
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092&lng=en&tlng=en
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spelling doaj-6b6e1b10c45941aea0549f631d712b9d2020-11-24T21:01:17ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-44642015-11-0131suppl 19210610.1590/0102-311X00081314S0102-311X2015001300092Urban road traffic deaths: data linkage and identification of high-risk population sub-groupsLúcia Maria Miana Mattos PaixãoEliana Dias GontijoSueli Aparecida MingotiDário Alves da Silva CostaAmélia Augusta de Lima FricheWaleska Teixeira CaiaffaAbstract This study analyzes the profile of deaths from road traffic accidents in Belo Horizonte, Minas Gerais State, Brazil, by linking two public databases, the Information System of the Urban Transportation and Transit Company (BH10) and the Mortality Information System (SIM). The linked database (n = 306) identified a 24% under-recording rate for deaths and differed in the age distribution from the BH10 database and in roadway user category when compared to the mortality database. The mortality rate for road traffic accidents within the city limits was 10.2 per 100,000 thousand, and was higher among men, young adults, and the elderly. Poisson multivariate regression showed a higher mean death rate for motorcycle occupants (rate ratio – RR: 1.81); pedestrians (RR: 1.32); males (RR: 1.24); single/divorced (RR: 1.27); young adults 18-29 years of age (RR: 1.75); elderly (RR: 1.59); and deaths at the crash site (RR: 1.39) when compared to the reference categories. The study unveils the city’s traffic violence, expressed by the large proportion of deaths at the crash site and within the first 24 hours, and confirms the relevance of database linkage for characterizing vulnerable groups and traffic accident mortality in the urban setting.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092&lng=en&tlng=enAcidentes de TránsitoMortalidadSistemas de InformaciónSalud Urbana
collection DOAJ
language English
format Article
sources DOAJ
author Lúcia Maria Miana Mattos Paixão
Eliana Dias Gontijo
Sueli Aparecida Mingoti
Dário Alves da Silva Costa
Amélia Augusta de Lima Friche
Waleska Teixeira Caiaffa
spellingShingle Lúcia Maria Miana Mattos Paixão
Eliana Dias Gontijo
Sueli Aparecida Mingoti
Dário Alves da Silva Costa
Amélia Augusta de Lima Friche
Waleska Teixeira Caiaffa
Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
Cadernos de Saúde Pública
Acidentes de Tránsito
Mortalidad
Sistemas de Información
Salud Urbana
author_facet Lúcia Maria Miana Mattos Paixão
Eliana Dias Gontijo
Sueli Aparecida Mingoti
Dário Alves da Silva Costa
Amélia Augusta de Lima Friche
Waleska Teixeira Caiaffa
author_sort Lúcia Maria Miana Mattos Paixão
title Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title_short Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title_full Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title_fullStr Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title_full_unstemmed Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title_sort urban road traffic deaths: data linkage and identification of high-risk population sub-groups
publisher Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
series Cadernos de Saúde Pública
issn 1678-4464
publishDate 2015-11-01
description Abstract This study analyzes the profile of deaths from road traffic accidents in Belo Horizonte, Minas Gerais State, Brazil, by linking two public databases, the Information System of the Urban Transportation and Transit Company (BH10) and the Mortality Information System (SIM). The linked database (n = 306) identified a 24% under-recording rate for deaths and differed in the age distribution from the BH10 database and in roadway user category when compared to the mortality database. The mortality rate for road traffic accidents within the city limits was 10.2 per 100,000 thousand, and was higher among men, young adults, and the elderly. Poisson multivariate regression showed a higher mean death rate for motorcycle occupants (rate ratio – RR: 1.81); pedestrians (RR: 1.32); males (RR: 1.24); single/divorced (RR: 1.27); young adults 18-29 years of age (RR: 1.75); elderly (RR: 1.59); and deaths at the crash site (RR: 1.39) when compared to the reference categories. The study unveils the city’s traffic violence, expressed by the large proportion of deaths at the crash site and within the first 24 hours, and confirms the relevance of database linkage for characterizing vulnerable groups and traffic accident mortality in the urban setting.
topic Acidentes de Tránsito
Mortalidad
Sistemas de Información
Salud Urbana
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092&lng=en&tlng=en
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