Temporal and Sociodemographic Analysis of Cancer Mortality among the Elderly Population in Brazil, from 2011 to 2020
Introduction: The rapid increase in the elderly population in developing countries, coupled with changes in the epidemiological profile, underscores the urgent need for public policies focused on elderly health. Objective: To analyze cancer mortality among the elderly in Brazil from 2011 to 2020, an...
| Autores: | , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2025 |
| País: | Brasil |
| Recursos: | Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) |
| Repositório: | Revista Brasileira de Cancerologia (Online) |
| Idioma: | português inglês espanhol |
| OAI Identifier: | oai:rbc.inca.gov.br:article/4915 |
| Acesso em linha: | https://rbc.inca.gov.br/index.php/revista/article/view/4915 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Mortalidade/tendências Neoplasias/mortalidade Idosos Fatores Socioeconômicos Mortalidad/tendencias Neoplasias/mortalidad Anciano Factores Socioeconómicos Mortality/trends Neoplasms/mortality Aged Socioeconomic Factors |
| Resumo: | Introduction: The rapid increase in the elderly population in developing countries, coupled with changes in the epidemiological profile, underscores the urgent need for public policies focused on elderly health. Objective: To analyze cancer mortality among the elderly in Brazil from 2011 to 2020, and its relationship with some socio-economic data. Method: Ecological study. Cancer mortality rates were calculated and standardized, and Prais-Winsten regression models were applied, in addition to a cluster analysis. Results: The results revealed a growing trend in mortality across all Brazilian states, with Rio Grande do Sul and Distrito Federal standing out with the highest average rates. Cluster analysis identified three distinct groupings. Regions with better socioeconomic conditions, such as the South, exhibited greater longevity and, consequently, higher cancer mortality rates among the elderly. On the other hand, the North and Northeast Regions, with worse indicators, showed lower rates, possibly due to lower life expectancy and underreporting. Conclusion: These findings emphasize the need for public policies that improve healthcare access and quality of care for the elderly throughout Brazil. |
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