Premature mortality from chronic non-communicable diseases according to social vulnerability: 10.15343/0104-7809.202145187194

Chronic non-communicable diseases constitute the highest burden of morbidity and mortality in the world and is responsible for 63% of deaths worldwide. In Brazil, they still represent the highest mortality in the country. Thus, the objective of the study was to identify areas of risk and protection...

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Detalles Bibliográficos
Autores: Istilli, Plinio Tadeu, Arroyo, Luiz Henrique, Dias Lima, Rafael Aparecido, Alves Pereira, Marta Cristiane, Zanetti, Maria Lúcia, Arcêncio, Ricardo Alexandre, de Souza Teixeira, Carla Regina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Centro Universitário São Camilo
Repositorio:O Mundo da Saúde (Online)
Idioma:portugués
inglés
OAI Identifier:oai:ojs3.revistamundodasaude.emnuvens.com.br:article/1092
Acceso en línea:https://revistamundodasaude.emnuvens.com.br/mundodasaude/article/view/1092
Access Level:acceso abierto
Palabra clave:Doença Crônica. Mortalidade. Mortalidade Prematura. Análise Espacial.
Chronic Disease. Mortality. Premature Mortality. Spatial Analysis.
Descripción
Sumario:Chronic non-communicable diseases constitute the highest burden of morbidity and mortality in the world and is responsible for 63% of deaths worldwide. In Brazil, they still represent the highest mortality in the country. Thus, the objective of the study was to identify areas of risk and protection for premature mortality from chronic non-communicable diseases according to social vulnerability in the city of Ribeirão Preto from 2010 to 2014. This was an ecological, quantitative study in which, through the method of spatial scanning, the relative risk and 95% confidence interval were calculated according to social vulnerability data. Five areas of statistical significance were identified, with two high-risk areas being predominantly of census sectors classified as low vulnerability, medium vulnerability, and high vulnerability in urban environments, and three protection areas with being predominantly of census sectors classified as extremely low vulnerability. It was possible to identify areas of risk or protection for premature mortality due to CNCDs, which can contribute to the development of effective innovative strategies to reduce the burden of these diseases for SUS.