Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Psychiatry (São Paulo. 1999. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462012000300005 |
Resumo: | OBJECTIVE: To analyze the spatial distribution of suicide incidence rate in a residential municipality of the state of Espírito Santo (ES), Brazil, from 2003 to 2007. METHODS: Ecologic study of the exploratory kind, based on secondary data. Deaths per suicide, which took place in each municipality of ES, were included in the data according to information provided by the Mortality Information System. For the spatial data analysis, a Bayesian approach was used (Global empirical and Local Bayesian ones) to correct epidemiological rates. Moran's I index was calculated to a worldwide spatial level dependence, and Local Moran (LISA) to a local spatial correlation. The following software applications were used: Excel; R 2.6.2; SPSS 11.5 and TerraView 3.3.1. RESULTS: The geographical localization of the municipalities that showed an incidence rate characterized as the average for suicide after adjustment (EBest Global) forms a corridor in the countryside. Some common characteristics among these municipalities are: a) immigration (Italians, Pomeranians/ Germans); b) rural population (average of 53%); c) supporting economy (agriculture, husbandry and livestock). A global and local spatial correlation was found among the municipalities (p < 0.05). CONCLUSION: The study identified the spatial context where the greatest death incidence rate per suicide occurred in the state of ES, during the mentioned period. |
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Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areasSuicideResidence CharacteristicsSpatial Bayesian AnalysisStatistical AnalysisIncidenceOBJECTIVE: To analyze the spatial distribution of suicide incidence rate in a residential municipality of the state of Espírito Santo (ES), Brazil, from 2003 to 2007. METHODS: Ecologic study of the exploratory kind, based on secondary data. Deaths per suicide, which took place in each municipality of ES, were included in the data according to information provided by the Mortality Information System. For the spatial data analysis, a Bayesian approach was used (Global empirical and Local Bayesian ones) to correct epidemiological rates. Moran's I index was calculated to a worldwide spatial level dependence, and Local Moran (LISA) to a local spatial correlation. The following software applications were used: Excel; R 2.6.2; SPSS 11.5 and TerraView 3.3.1. RESULTS: The geographical localization of the municipalities that showed an incidence rate characterized as the average for suicide after adjustment (EBest Global) forms a corridor in the countryside. Some common characteristics among these municipalities are: a) immigration (Italians, Pomeranians/ Germans); b) rural population (average of 53%); c) supporting economy (agriculture, husbandry and livestock). A global and local spatial correlation was found among the municipalities (p < 0.05). CONCLUSION: The study identified the spatial context where the greatest death incidence rate per suicide occurred in the state of ES, during the mentioned period.Associação Brasileira de Psiquiatria2012-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462012000300005Brazilian Journal of Psychiatry v.34 n.3 2012reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online)instname:Associação Brasileira de Psiquiatria (ABP)instacron:ABP10.1016/j.rbp.2011.11.001info:eu-repo/semantics/openAccessMacente,Luciene BolzamZandonade,Elianaeng2012-11-14T00:00:00Zoai:scielo:S1516-44462012000300005Revistahttp://www.bjp.org.br/ahead_of_print.asphttps://old.scielo.br/oai/scielo-oai.php||rbp@abpbrasil.org.br1809-452X1516-4446opendoar:2012-11-14T00:00Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP)false |
dc.title.none.fl_str_mv |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
title |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
spellingShingle |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas Macente,Luciene Bolzam Suicide Residence Characteristics Spatial Bayesian Analysis Statistical Analysis Incidence |
title_short |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
title_full |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
title_fullStr |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
title_full_unstemmed |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
title_sort |
Spatial distribution of suicide incidence rates in municipalities in the state of Espírito Santo (Brazil), 2003-2007: spatial analysis to identify risk areas |
author |
Macente,Luciene Bolzam |
author_facet |
Macente,Luciene Bolzam Zandonade,Eliana |
author_role |
author |
author2 |
Zandonade,Eliana |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Macente,Luciene Bolzam Zandonade,Eliana |
dc.subject.por.fl_str_mv |
Suicide Residence Characteristics Spatial Bayesian Analysis Statistical Analysis Incidence |
topic |
Suicide Residence Characteristics Spatial Bayesian Analysis Statistical Analysis Incidence |
description |
OBJECTIVE: To analyze the spatial distribution of suicide incidence rate in a residential municipality of the state of Espírito Santo (ES), Brazil, from 2003 to 2007. METHODS: Ecologic study of the exploratory kind, based on secondary data. Deaths per suicide, which took place in each municipality of ES, were included in the data according to information provided by the Mortality Information System. For the spatial data analysis, a Bayesian approach was used (Global empirical and Local Bayesian ones) to correct epidemiological rates. Moran's I index was calculated to a worldwide spatial level dependence, and Local Moran (LISA) to a local spatial correlation. The following software applications were used: Excel; R 2.6.2; SPSS 11.5 and TerraView 3.3.1. RESULTS: The geographical localization of the municipalities that showed an incidence rate characterized as the average for suicide after adjustment (EBest Global) forms a corridor in the countryside. Some common characteristics among these municipalities are: a) immigration (Italians, Pomeranians/ Germans); b) rural population (average of 53%); c) supporting economy (agriculture, husbandry and livestock). A global and local spatial correlation was found among the municipalities (p < 0.05). CONCLUSION: The study identified the spatial context where the greatest death incidence rate per suicide occurred in the state of ES, during the mentioned period. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-10-01 |
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=S1516-44462012000300005 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462012000300005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.rbp.2011.11.001 |
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 |
Associação Brasileira de Psiquiatria |
publisher.none.fl_str_mv |
Associação Brasileira de Psiquiatria |
dc.source.none.fl_str_mv |
Brazilian Journal of Psychiatry v.34 n.3 2012 reponame:Brazilian Journal of Psychiatry (São Paulo. 1999. Online) instname:Associação Brasileira de Psiquiatria (ABP) instacron:ABP |
instname_str |
Associação Brasileira de Psiquiatria (ABP) |
instacron_str |
ABP |
institution |
ABP |
reponame_str |
Brazilian Journal of Psychiatry (São Paulo. 1999. Online) |
collection |
Brazilian Journal of Psychiatry (São Paulo. 1999. Online) |
repository.name.fl_str_mv |
Brazilian Journal of Psychiatry (São Paulo. 1999. Online) - Associação Brasileira de Psiquiatria (ABP) |
repository.mail.fl_str_mv |
||rbp@abpbrasil.org.br |
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1754212555629264896 |