Document Type
Article
Publication Date
2018
Publication Title
Ciência & Saúde Coletiva
DOI
10.1590/1413-812320182311.27182016
ISSN
1678-4561
Abstract
This study describes the spatial-temporal changes of the proportion of ill-defined causes of death in Brazil (1998-2012) and investigates which demographic and socioeconomic factors affect this proportion. We collected information of the proportion of ill-defined causes of death by age (15-59 years), sex, period, locality, and socioeconomic data. We used a multilevel Poisson model to investigate which factors affect the risk of ill-defined causes of death. Unlike states located in the South and Midwest, we detected clusters with high proportional levels of these deaths in states in the North and Northeast regions. A greater proportion occurred in 1998-2002 (0.09), in the North and Northeast (0.14 and 0.12, respectively), in older age groups (0.09), and in places with poor socioeconomic conditions. The adjusted analysis showed differences in proportion according to the region, age, period, schooling, social inequality, and income. The results indicate that the lower the age group and the better the socioeconomic situation, the lower the risk to register the cause of death as ill-defined. Although over the past years, the quality of Brazil’s mortality data has gradually increased, investments towards improving mortality registries cannot be discontinued.
Recommended Citation
Pinheiro Rodrigues, Nadia Cristina, Regina Paiva Daumas, Andrea Sobral de Almeida, Gisele O'Dwyer, Monica Kramer de Noronha Andrade, Matthew B. Flynn, Valeria Teresa Saraiva Lino.
2018.
"Risk Factors For The Ill-defined Causes Of Death In The Brazilian States: A Multilevel Analysis."
Ciência & Saúde Coletiva, 23 (11): 3979-3988: ABRASCO - Brazilian Association of Collective Health.
doi: 10.1590/1413-812320182311.27182016 source: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018001103979
https://digitalcommons.georgiasouthern.edu/poli-sci-facpubs/40
Copyright
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
