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Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis

OBJECTIVE: to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators. METHOD: an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with sp...

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Autores principales: Garces, Thiago Santos, Damasceno, Lara Lídia Ventura, Sousa, George Jó Bezerra, Cestari, Virna Ribeiro Feitosa, Pereira, Maria Lúcia Duarte, Moreira, Thereza Maria Magalhães
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424900/
https://www.ncbi.nlm.nih.gov/pubmed/37586008
http://dx.doi.org/10.1590/1518-8345.6592.3972
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author Garces, Thiago Santos
Damasceno, Lara Lídia Ventura
Sousa, George Jó Bezerra
Cestari, Virna Ribeiro Feitosa
Pereira, Maria Lúcia Duarte
Moreira, Thereza Maria Magalhães
author_facet Garces, Thiago Santos
Damasceno, Lara Lídia Ventura
Sousa, George Jó Bezerra
Cestari, Virna Ribeiro Feitosa
Pereira, Maria Lúcia Duarte
Moreira, Thereza Maria Magalhães
author_sort Garces, Thiago Santos
collection PubMed
description OBJECTIVE: to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators. METHOD: an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps. RESULTS: a total of 601,521 deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000 inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (β=11.7) and the Family Health Strategy coverage (β=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil. CONCLUSION: in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators.
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spelling pubmed-104249002023-08-15 Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis Garces, Thiago Santos Damasceno, Lara Lídia Ventura Sousa, George Jó Bezerra Cestari, Virna Ribeiro Feitosa Pereira, Maria Lúcia Duarte Moreira, Thereza Maria Magalhães Rev Lat Am Enfermagem Original Article OBJECTIVE: to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators. METHOD: an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps. RESULTS: a total of 601,521 deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000 inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (β=11.7) and the Family Health Strategy coverage (β=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil. CONCLUSION: in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2023-08-14 /pmc/articles/PMC10424900/ /pubmed/37586008 http://dx.doi.org/10.1590/1518-8345.6592.3972 Text en Esta licencia permite a otros distribuir, mezclar, ajustar y construir a partir de su obra, incluso con fines comerciales, siempre que le sea reconocida la autoría de la creación original. Esta es la licencia más servicial de las ofrecidas. Recomendada para una máxima difusión y utilización de los materiales sujetos a la licencia. https://creativecommons.org/licenses/by/4.0/Este es un artículo de acceso abierto distribuido bajo los términos de la Licencia Creative Commons CC BY.
spellingShingle Original Article
Garces, Thiago Santos
Damasceno, Lara Lídia Ventura
Sousa, George Jó Bezerra
Cestari, Virna Ribeiro Feitosa
Pereira, Maria Lúcia Duarte
Moreira, Thereza Maria Magalhães
Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title_full Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title_fullStr Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title_full_unstemmed Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title_short Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis
title_sort relationship between social development indicators and mortality due to diabetes mellitus in brazil: a space-time analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424900/
https://www.ncbi.nlm.nih.gov/pubmed/37586008
http://dx.doi.org/10.1590/1518-8345.6592.3972
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