Diferenciais regionais na mortalidade adulta por escolaridade no Brasil em 2010

Studies on mortality differentials by education have a great relevance for the management of public health in Brazil. Given the unequal context of processes of demographic and epidemiological transitions among social strata, the objective of this study is to estimate educational differentials in...

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Autor principal: Silva Júnior, Walter Pedro
Outros Autores: Freire, Flávio Henrique Miranda de Araújo
Formato: Dissertação
Idioma:por
Publicado em: Brasil
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Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/26577
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Resumo:Studies on mortality differentials by education have a great relevance for the management of public health in Brazil. Given the unequal context of processes of demographic and epidemiological transitions among social strata, the objective of this study is to estimate educational differentials in adult mortality (25-59 years) by regions, sex and age in 2010. The literature indicates that there is an inverse relationship between mortality and schooling, meaning that the higher the schooling the lower is the risk of death. In addition, there is evidence that these gradients persist at all ages. They are larger among men, diminishing with age and their magnitude differ among the country’s regions. Whilst this subject has been discussed in the United States since the 1960s, in Brazil the first works date from the 2000s. This delay is mainly due to the poor quality of the educational variable from the responses on death registered in the Mortality Information System (MIS). In order to search for evidence on these educational gradients, the microdata on death of MIS of 2010 (for deaths) and the microdata of the census 2010 (for population quantities) are the study’s sources of data. Accordingly, the methodological proposal is to make two corrections in the data before proceeding with the estimates of educational differentials in mortality. The first one is the correction of the incompleteness of the variable education through imputation methods. The methods applied are: the multiple imputation and the ABB (Approximate Bayesian Bootstrap). The second one is the correction of underreporting of deaths using average corrections factors of the general population by Federation Unit (FU) to correct only the deaths of lower schooling in each region. The results in terms of specific mortality rates are in line with the literature. The risks of death are lower among individuals with high schooling when compared to those with low and medium schooling. Moreover, differentials were higher for men, tending to decrease with age. Another important result is that there are no regional differences in the mortality differentials according to the schooling of the deceased.