Mortalidade por causas violentas em jovens de Goiânia

Detalhes bibliográficos
Autor(a) principal: MINAMISAVA, Ruth
Data de Publicação: 2010
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFG
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tde/1577
Resumo: Background: Deaths due to homicides and traffic accidents among youth are a public health issue worldwide. Studies of the complex network of cause and effect on this topic point to both poverty and health inequalities. Different investigational approaches to intentional and unintentional deaths combined with socioeconomic variables can help create a better understanding of the association between violence and socioeconomic conditions. This study analyzed the spatial distribution and potential clusters of risk for intentional and unintentional deaths among youths aged 15-24 years in Goiânia, a newly urbanized city in central Brazil. Methods: Death data and residential addresses were extracted from the national Mortality Information System and validated by household visits. To detect all potential cases, we prospectively investigated every death classified as a transport accident, assault, legal intervention,intentional self-harm, unknown underlying cause, and undetermined intent according to the ICD-10. The Geographical Information System was used to plot residential addresses, and cases were interactively geocoded to the residential address level using a digital map of the municipality. Spatial scan statistic was applied (Poisson model) to identify clusters of census tracts with high mortality due to intentional injuries and traffic accidents. The socioeconomic variables obtained using census data were compared between the most likely cluster and other areas of the municipality. Results: The most violent deaths among young people were due to intentional injuries. Between August 2005 and August 2006, 145 addresses for cases of intentional injuries and traffic accidents were located and geocoded. No significant clusters for deaths due to traffic accidents were found within the municipality. One significant cluster (RR = 4.65; p = 0.029) composed of 14 cases of intentional deaths, mostly homicides, was detected in an emergent, populated, and very poor area on the outskirts of the town. This cluster had a significantly higher proportion of people with the lowest educational status, lowest income, and poor housing conditions in comparison to the remainder of the municipality. Conclusion: Our findings highlight the link between social inequalities and intentional deaths, clearly showing the need for urgent social interventions to reduce violence and premature mortality.
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spelling ANDRADE, Ana Lúcia Sampaio Sgambatti dehttp://lattes.cnpq.br/7770363683068899http://lattes.cnpq.br/1723353638642281MINAMISAVA, Ruth2014-07-29T15:26:22Z2012-02-152010-05-19MINAMISAVA, Ruth. Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the socil disparties. 2010. 77 f. Tese (Doutorado em Ciências da Saúde) - Universidade Federal de Goiás, Goiânia, 2010.http://repositorio.bc.ufg.br/tede/handle/tde/1577ark:/38995/0013000006rgxBackground: Deaths due to homicides and traffic accidents among youth are a public health issue worldwide. Studies of the complex network of cause and effect on this topic point to both poverty and health inequalities. Different investigational approaches to intentional and unintentional deaths combined with socioeconomic variables can help create a better understanding of the association between violence and socioeconomic conditions. This study analyzed the spatial distribution and potential clusters of risk for intentional and unintentional deaths among youths aged 15-24 years in Goiânia, a newly urbanized city in central Brazil. Methods: Death data and residential addresses were extracted from the national Mortality Information System and validated by household visits. To detect all potential cases, we prospectively investigated every death classified as a transport accident, assault, legal intervention,intentional self-harm, unknown underlying cause, and undetermined intent according to the ICD-10. The Geographical Information System was used to plot residential addresses, and cases were interactively geocoded to the residential address level using a digital map of the municipality. Spatial scan statistic was applied (Poisson model) to identify clusters of census tracts with high mortality due to intentional injuries and traffic accidents. The socioeconomic variables obtained using census data were compared between the most likely cluster and other areas of the municipality. Results: The most violent deaths among young people were due to intentional injuries. Between August 2005 and August 2006, 145 addresses for cases of intentional injuries and traffic accidents were located and geocoded. No significant clusters for deaths due to traffic accidents were found within the municipality. One significant cluster (RR = 4.65; p = 0.029) composed of 14 cases of intentional deaths, mostly homicides, was detected in an emergent, populated, and very poor area on the outskirts of the town. This cluster had a significantly higher proportion of people with the lowest educational status, lowest income, and poor housing conditions in comparison to the remainder of the municipality. Conclusion: Our findings highlight the link between social inequalities and intentional deaths, clearly showing the need for urgent social interventions to reduce violence and premature mortality.Introdução: As causas externas, particularmente as violentas (acidentes de transporte e traumas intencionais), estão entre as primeiras causas de morte tanto em países desenvolvidos como nos em desenvolvimento, atingindo desproporcionalmente a população jovem. Embora o Brasil tenha realizado esforços nos últimos anos para combater a violência, os dados oficiais mostram alta mortalidade por homicídios e por acidentes de transporte envolvendo motociclistas. Objetivo: analisar a distribuição espacial e potenciais aglomerados de risco para óbitos intencionais e não-intencionais em jovens de 15 a 24 anos ocorre de forma aleatória no município de Goiânia. Metodologia: dados de óbitos por causas intencionais e não-intencionais residentes do município de Goiânia foram obtidos no Sistema de Informação de Mortalidade e confirmados por visita domiciliar. Cada óbito foi classificado em acidente de transporte, agressão e intervenção legal de acordo com a CID-10. Foram excluídos os casos de óbitos por suicídio. Endereços da residência foram geocodificados, gerando uma camada que foi espacialmente sobreposta à camada dos setores censitários. Aplicou-se a estatística especial scan baseada no modelo de Poisson para identificar clusters de setores censitários com alta taxa de mortalidade. Foram utilizadas variáveis socioeconômicas disponibilizadas pelo Instituto Brasileiro de Geografia e Estatística para comparar dados do aglomerado mais provável e as outras áreas do município. Resultados: A maioria das mortes violentas entre jovens foi devido a acidentes intencionais. Entre agosto de 2005 e agosto de 2006, 145 endereços de óbitos intencionais e acidentes de transporte foram identifocados e geocodificados. A distribuição espacial dos óbitos por acidentes de transporte ocorreu de forma aleatória no município de Goiânia. Detectou-se um aglomerado de alto risco para óbitos por trauma intencional (RR=4,65; p=0,029), sendo a maioria, homicídios. A área de risco localiza-se na periferia do município - Distrito Sanitário Noroeste, que apresentou piores indicadores de renda, de escolaridade, de condições sanitárias e de domicílios com maior número de moradores quando comparado com o restante do município. Conclusões: a associação entre mortes intencionais e desigualdades sociais mostra a necessidade de políticas sociais urgentes.Made available in DSpace on 2014-07-29T15:26:22Z (GMT). No. of bitstreams: 1 Tese Ruth Minamisava.pdf: 2670149 bytes, checksum: 04542bda37ab81a72c173b931eb7a157 (MD5) Previous issue date: 2010-05-19application/pdfporUniversidade Federal de GoiásDoutorado em Medicina TropicalUFGBRCiências da SaúdeHomicídioAcidentes de trânsitoMortalidadeSistemas de Informação GeográficaAdolescenteHomicíd -Adolesc; Acid de trânsit -Adolescente; Mortalidade; Localização geográfica de risco; Sist de Informaç GeográfHomicideTraffic accidentsMortalityGeographic Information SystemsCNPQ::CIENCIAS DA SAUDEMortalidade por causas violentas em jovens de GoiâniaSpatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the socil dispartiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGORIGINALTese Ruth Minamisava.pdfapplication/pdf2670149http://repositorio.bc.ufg.br/tede/bitstreams/ed5cc44a-f349-4bfa-909f-d9934ce97cdf/download04542bda37ab81a72c173b931eb7a157MD51tde/15772014-07-29 12:26:22.621open.accessoai:repositorio.bc.ufg.br:tde/1577http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2014-07-29T15:26:22Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)false
dc.title.por.fl_str_mv Mortalidade por causas violentas em jovens de Goiânia
dc.title.alternative.eng.fl_str_mv Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the socil disparties
title Mortalidade por causas violentas em jovens de Goiânia
spellingShingle Mortalidade por causas violentas em jovens de Goiânia
MINAMISAVA, Ruth
Homicídio
Acidentes de trânsito
Mortalidade
Sistemas de Informação Geográfica
Adolescente
Homicíd -Adolesc; Acid de trânsit -Adolescente; Mortalidade; Localização geográfica de risco; Sist de Informaç Geográf
Homicide
Traffic accidents
Mortality
Geographic Information Systems
CNPQ::CIENCIAS DA SAUDE
title_short Mortalidade por causas violentas em jovens de Goiânia
title_full Mortalidade por causas violentas em jovens de Goiânia
title_fullStr Mortalidade por causas violentas em jovens de Goiânia
title_full_unstemmed Mortalidade por causas violentas em jovens de Goiânia
title_sort Mortalidade por causas violentas em jovens de Goiânia
author MINAMISAVA, Ruth
author_facet MINAMISAVA, Ruth
author_role author
dc.contributor.advisor1.fl_str_mv ANDRADE, Ana Lúcia Sampaio Sgambatti de
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7770363683068899
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1723353638642281
dc.contributor.author.fl_str_mv MINAMISAVA, Ruth
contributor_str_mv ANDRADE, Ana Lúcia Sampaio Sgambatti de
dc.subject.por.fl_str_mv Homicídio
Acidentes de trânsito
Mortalidade
Sistemas de Informação Geográfica
Adolescente
Homicíd -Adolesc; Acid de trânsit -Adolescente; Mortalidade; Localização geográfica de risco; Sist de Informaç Geográf
topic Homicídio
Acidentes de trânsito
Mortalidade
Sistemas de Informação Geográfica
Adolescente
Homicíd -Adolesc; Acid de trânsit -Adolescente; Mortalidade; Localização geográfica de risco; Sist de Informaç Geográf
Homicide
Traffic accidents
Mortality
Geographic Information Systems
CNPQ::CIENCIAS DA SAUDE
dc.subject.eng.fl_str_mv Homicide
Traffic accidents
Mortality
Geographic Information Systems
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS DA SAUDE
description Background: Deaths due to homicides and traffic accidents among youth are a public health issue worldwide. Studies of the complex network of cause and effect on this topic point to both poverty and health inequalities. Different investigational approaches to intentional and unintentional deaths combined with socioeconomic variables can help create a better understanding of the association between violence and socioeconomic conditions. This study analyzed the spatial distribution and potential clusters of risk for intentional and unintentional deaths among youths aged 15-24 years in Goiânia, a newly urbanized city in central Brazil. Methods: Death data and residential addresses were extracted from the national Mortality Information System and validated by household visits. To detect all potential cases, we prospectively investigated every death classified as a transport accident, assault, legal intervention,intentional self-harm, unknown underlying cause, and undetermined intent according to the ICD-10. The Geographical Information System was used to plot residential addresses, and cases were interactively geocoded to the residential address level using a digital map of the municipality. Spatial scan statistic was applied (Poisson model) to identify clusters of census tracts with high mortality due to intentional injuries and traffic accidents. The socioeconomic variables obtained using census data were compared between the most likely cluster and other areas of the municipality. Results: The most violent deaths among young people were due to intentional injuries. Between August 2005 and August 2006, 145 addresses for cases of intentional injuries and traffic accidents were located and geocoded. No significant clusters for deaths due to traffic accidents were found within the municipality. One significant cluster (RR = 4.65; p = 0.029) composed of 14 cases of intentional deaths, mostly homicides, was detected in an emergent, populated, and very poor area on the outskirts of the town. This cluster had a significantly higher proportion of people with the lowest educational status, lowest income, and poor housing conditions in comparison to the remainder of the municipality. Conclusion: Our findings highlight the link between social inequalities and intentional deaths, clearly showing the need for urgent social interventions to reduce violence and premature mortality.
publishDate 2010
dc.date.issued.fl_str_mv 2010-05-19
dc.date.available.fl_str_mv 2012-02-15
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dc.identifier.citation.fl_str_mv MINAMISAVA, Ruth. Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the socil disparties. 2010. 77 f. Tese (Doutorado em Ciências da Saúde) - Universidade Federal de Goiás, Goiânia, 2010.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tde/1577
dc.identifier.dark.fl_str_mv ark:/38995/0013000006rgx
identifier_str_mv MINAMISAVA, Ruth. Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the socil disparties. 2010. 77 f. Tese (Doutorado em Ciências da Saúde) - Universidade Federal de Goiás, Goiânia, 2010.
ark:/38995/0013000006rgx
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