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

Detalhes bibliográficos
Autor(a) principal: Paixão,Lúcia Maria Miana Mattos
Data de Publicação: 2015
Outros Autores: Gontijo,Eliana Dias, Mingoti,Sueli Aparecida, Costa,Dário Alves da Silva, Friche,Amélia Augusta de Lima, Caiaffa,Waleska Teixeira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092
Resumo: 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.
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spelling Urban road traffic deaths: data linkage and identification of high-risk population sub-groupsTraffic AccidentsMortalityInformation SystemUrban HealthAbstract 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.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2015-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092Cadernos de Saúde Pública v.31 suppl.1 2015reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/0102-311X00081314info:eu-repo/semantics/openAccessPaixão,Lúcia Maria Miana MattosGontijo,Eliana DiasMingoti,Sueli AparecidaCosta,Dário Alves da SilvaFriche,Amélia Augusta de LimaCaiaffa,Waleska Teixeiraeng2015-12-04T00:00:00Zoai:scielo:S0102-311X2015001300092Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2015-12-04T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.none.fl_str_mv Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
title Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
spellingShingle Urban road traffic deaths: data linkage and identification of high-risk population sub-groups
Paixão,Lúcia Maria Miana Mattos
Traffic Accidents
Mortality
Information System
Urban Health
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
author Paixão,Lúcia Maria Miana Mattos
author_facet Paixão,Lúcia Maria Miana Mattos
Gontijo,Eliana Dias
Mingoti,Sueli Aparecida
Costa,Dário Alves da Silva
Friche,Amélia Augusta de Lima
Caiaffa,Waleska Teixeira
author_role author
author2 Gontijo,Eliana Dias
Mingoti,Sueli Aparecida
Costa,Dário Alves da Silva
Friche,Amélia Augusta de Lima
Caiaffa,Waleska Teixeira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Paixão,Lúcia Maria Miana Mattos
Gontijo,Eliana Dias
Mingoti,Sueli Aparecida
Costa,Dário Alves da Silva
Friche,Amélia Augusta de Lima
Caiaffa,Waleska Teixeira
dc.subject.por.fl_str_mv Traffic Accidents
Mortality
Information System
Urban Health
topic Traffic Accidents
Mortality
Information System
Urban Health
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.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001300092
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-311X00081314
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
publisher.none.fl_str_mv Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
dc.source.none.fl_str_mv Cadernos de Saúde Pública v.31 suppl.1 2015
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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