Spatial distribution of diabetes mortality in Brazil

Detalhes bibliográficos
Autor(a) principal: Marques, Marilane Vilela
Data de Publicação: 2020
Outros Autores: Santos, Samara Sybelle de Araújo Nobre, Lima, Mirna Vasconcelos de, Matos, Marisa Karina de Miranda, Pereira, Sônia Maria, Amador, Ana Edimilda
Tipo de documento: Artigo
Idioma: por
Título da fonte: Saúde e Desenvolvimento Humano
Texto Completo: https://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/6135
Resumo: Objective: To analyze the spatial distribution of mortality rates from diabetes in Brazil.Methods: Ecological study nationwide, based on secondary mortality data from the Mortality Information System (SIM) from 2012 to 2016. Spatial distribution, intensity and significance were analyzed using the Moran Global index, MoranMap, as well as the occurrence of high-risk clusters through LisaMap and BoxMap.Results: During the study period, there were 293,752 deaths from Diabetes, of which 162,743 (55.40%) were female; 237,428 deaths (80.83%) aged 60 years and over; 49.56% for whites and yellows; 36.32% are married; 67.77% occurred in the hospital. The municipalities with the highest average standardized mortality rates were: Junco do Maranhão - MA (142.14 deaths/100 thousand inhab.), Brejinho - PE (128.88), Brejo de Areia - MA (127.64), Xexéu - PE (123.96), Malhada dos Bois - SE (118.41), Jaqueira - PE (115.96) and Arara - PB (104.78). The value of the Global Moran Index was positive and with statistical significance (p-value = 0.01). High-risk (high/high) cluster formation was evidenced in municipalities in the north, northeast, southeast and central-west regions, while the presence oflow-risk (low/low) clusters was verified in the southern region of the country. Conclusions: There is a pattern of spatial dependence in Brazil in the distribution of mortality rates due to Diabetes.
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spelling Spatial distribution of diabetes mortality in BrazilDistribuição espacial da mortalidade por diabetes no BrasilMortality; Diabetes; Spatial DistributionEnfermagem; Saúde Coletiva; Saúde Pública; Ciências da Saúde; Demografia.Mortalidade; Diabetes; Distribuição EspacialObjective: To analyze the spatial distribution of mortality rates from diabetes in Brazil.Methods: Ecological study nationwide, based on secondary mortality data from the Mortality Information System (SIM) from 2012 to 2016. Spatial distribution, intensity and significance were analyzed using the Moran Global index, MoranMap, as well as the occurrence of high-risk clusters through LisaMap and BoxMap.Results: During the study period, there were 293,752 deaths from Diabetes, of which 162,743 (55.40%) were female; 237,428 deaths (80.83%) aged 60 years and over; 49.56% for whites and yellows; 36.32% are married; 67.77% occurred in the hospital. The municipalities with the highest average standardized mortality rates were: Junco do Maranhão - MA (142.14 deaths/100 thousand inhab.), Brejinho - PE (128.88), Brejo de Areia - MA (127.64), Xexéu - PE (123.96), Malhada dos Bois - SE (118.41), Jaqueira - PE (115.96) and Arara - PB (104.78). The value of the Global Moran Index was positive and with statistical significance (p-value = 0.01). High-risk (high/high) cluster formation was evidenced in municipalities in the north, northeast, southeast and central-west regions, while the presence oflow-risk (low/low) clusters was verified in the southern region of the country. Conclusions: There is a pattern of spatial dependence in Brazil in the distribution of mortality rates due to Diabetes.Objetivo: Analisar a distribuição espacial das taxas de mortalidade por diabetes no Brasil.Métodos: Estudo ecológico com municípios do Brasil, no período de 2012 a 2016. Analisou-se a distribuição espacial, a intensidade e a significância através do índice de Moran Global, MoranMap, LisaMap e BoxMap.Resultados: No período estudado houve 293.752 óbitos por Diabetes, destes 162.743 (55,40%) são do sexo feminino; 237.428 óbitos (80,83%) com idade de 60 anos e mais; 49,56% para brancos e amarelos; 36,32% são casados; 67,77% ocorreram no hospital. Os municípios que apresentaram as maiores taxas médias de mortalidade padronizadas foram: Junco do Maranhão – MA (142,14 óbitos/100 mil hab.), Brejinho – PE (128,88), Brejo de Areia – MA (127,64), Xexéu – PE (123,96), Malhada dos Bois – SE (118,41), Jaqueira – PE (115,96) e Arara – PB (104,78). O valor do Índice de Moran Global foi positivo e com significância estatística (p-valor=0.01). Evidenciou-se formação de clúster de alto/alto em municípios das regiões norte, nordeste, sudeste e centro-oeste, enquanto que foi verificada a presença de clúster de baixo/baixo na região sul país.Conclusões: Existe no Brasil um padrão de dependência espacial na distribuição das taxas de mortalidade por Diabetes.Universidade LaSalle - Unilasalle CanoasMarques, Marilane VilelaSantos, Samara Sybelle de Araújo NobreLima, Mirna Vasconcelos deMatos, Marisa Karina de MirandaPereira, Sônia MariaAmador, Ana Edimilda2020-08-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/613510.18316/sdh.v8i3.6135Saúde e Desenvolvimento Humano; v. 8, n. 3 (2020); p. 113-122Saúde e Desenvolvimento Humano; v. 8, n. 3 (2020); p. 113-1222317-8582reponame:Saúde e Desenvolvimento Humanoinstname:Universidade La Salle (UNILASALLE)instacron:UNILASALLEporhttps://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/6135/pdfhttps://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/downloadSuppFile/6135/1247Direitos autorais 2020 Saúde e Desenvolvimento Humanoinfo:eu-repo/semantics/openAccess2022-03-29T14:31:53Zoai:ojs.revistas.unilasalle.edu.br:article/6135Revistahttp://www.revistas.unilasalle.edu.br/index.php/saude_desenvolvimentohttps://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/oaisdh@unilasalle.edu.br2317-85822317-8582opendoar:2022-03-29T14:31:53Saúde e Desenvolvimento Humano - Universidade La Salle (UNILASALLE)false
dc.title.none.fl_str_mv Spatial distribution of diabetes mortality in Brazil
Distribuição espacial da mortalidade por diabetes no Brasil
title Spatial distribution of diabetes mortality in Brazil
spellingShingle Spatial distribution of diabetes mortality in Brazil
Marques, Marilane Vilela
Mortality; Diabetes; Spatial Distribution
Enfermagem; Saúde Coletiva; Saúde Pública; Ciências da Saúde; Demografia.
Mortalidade; Diabetes; Distribuição Espacial
title_short Spatial distribution of diabetes mortality in Brazil
title_full Spatial distribution of diabetes mortality in Brazil
title_fullStr Spatial distribution of diabetes mortality in Brazil
title_full_unstemmed Spatial distribution of diabetes mortality in Brazil
title_sort Spatial distribution of diabetes mortality in Brazil
author Marques, Marilane Vilela
author_facet Marques, Marilane Vilela
Santos, Samara Sybelle de Araújo Nobre
Lima, Mirna Vasconcelos de
Matos, Marisa Karina de Miranda
Pereira, Sônia Maria
Amador, Ana Edimilda
author_role author
author2 Santos, Samara Sybelle de Araújo Nobre
Lima, Mirna Vasconcelos de
Matos, Marisa Karina de Miranda
Pereira, Sônia Maria
Amador, Ana Edimilda
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Marques, Marilane Vilela
Santos, Samara Sybelle de Araújo Nobre
Lima, Mirna Vasconcelos de
Matos, Marisa Karina de Miranda
Pereira, Sônia Maria
Amador, Ana Edimilda
dc.subject.none.fl_str_mv
dc.subject.por.fl_str_mv Mortality; Diabetes; Spatial Distribution
Enfermagem; Saúde Coletiva; Saúde Pública; Ciências da Saúde; Demografia.
Mortalidade; Diabetes; Distribuição Espacial
topic Mortality; Diabetes; Spatial Distribution
Enfermagem; Saúde Coletiva; Saúde Pública; Ciências da Saúde; Demografia.
Mortalidade; Diabetes; Distribuição Espacial
description Objective: To analyze the spatial distribution of mortality rates from diabetes in Brazil.Methods: Ecological study nationwide, based on secondary mortality data from the Mortality Information System (SIM) from 2012 to 2016. Spatial distribution, intensity and significance were analyzed using the Moran Global index, MoranMap, as well as the occurrence of high-risk clusters through LisaMap and BoxMap.Results: During the study period, there were 293,752 deaths from Diabetes, of which 162,743 (55.40%) were female; 237,428 deaths (80.83%) aged 60 years and over; 49.56% for whites and yellows; 36.32% are married; 67.77% occurred in the hospital. The municipalities with the highest average standardized mortality rates were: Junco do Maranhão - MA (142.14 deaths/100 thousand inhab.), Brejinho - PE (128.88), Brejo de Areia - MA (127.64), Xexéu - PE (123.96), Malhada dos Bois - SE (118.41), Jaqueira - PE (115.96) and Arara - PB (104.78). The value of the Global Moran Index was positive and with statistical significance (p-value = 0.01). High-risk (high/high) cluster formation was evidenced in municipalities in the north, northeast, southeast and central-west regions, while the presence oflow-risk (low/low) clusters was verified in the southern region of the country. Conclusions: There is a pattern of spatial dependence in Brazil in the distribution of mortality rates due to Diabetes.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-14
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/6135
10.18316/sdh.v8i3.6135
url https://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/6135
identifier_str_mv 10.18316/sdh.v8i3.6135
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/view/6135/pdf
https://revistas.unilasalle.edu.br/index.php/saude_desenvolvimento/article/downloadSuppFile/6135/1247
dc.rights.driver.fl_str_mv Direitos autorais 2020 Saúde e Desenvolvimento Humano
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2020 Saúde e Desenvolvimento Humano
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade LaSalle - Unilasalle Canoas
publisher.none.fl_str_mv Universidade LaSalle - Unilasalle Canoas
dc.source.none.fl_str_mv Saúde e Desenvolvimento Humano; v. 8, n. 3 (2020); p. 113-122
Saúde e Desenvolvimento Humano; v. 8, n. 3 (2020); p. 113-122
2317-8582
reponame:Saúde e Desenvolvimento Humano
instname:Universidade La Salle (UNILASALLE)
instacron:UNILASALLE
instname_str Universidade La Salle (UNILASALLE)
instacron_str UNILASALLE
institution UNILASALLE
reponame_str Saúde e Desenvolvimento Humano
collection Saúde e Desenvolvimento Humano
repository.name.fl_str_mv Saúde e Desenvolvimento Humano - Universidade La Salle (UNILASALLE)
repository.mail.fl_str_mv sdh@unilasalle.edu.br
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