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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Formato: | Dissertação |
Idioma: | por |
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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. |
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