Mortalidade em idosos longevos e "mais jovens" no Brasil
The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the...
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| Formato: | doctoralThesis |
| Idioma: | por |
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Universidade Federal do Rio Grande do Norte
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| Acceso en liña: | https://repositorio.ufrn.br/jspui/handle/123456789/20115 |
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| Resumo: | The aim of the present study was to trace the mortality profile of the elderly in Brazil using
two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To
do this, we sought to characterize the trend and distinctions of different mortality profiles, as
well as the quality of the data and associations with socioeconomic and sanitary conditions in
the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM)
and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the
coefficients of mortality were calculated for the chapters of the International Disease
Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the
main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for
different Brazilian micro-regions. Factorial analysis of the contextual variables was used to
obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and
of the ratio of its values in the two age groups confirmed a decrease in most of the indicators,
particularly for badly-defined causes among the oldest-old. Among the young-old, the
following profiles emerged: the Development Profile; the Modernity Profile; the
Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter
three profiles were confirmed, in addition to the Low Mortality Rates Profile. When
comparing the mean IPSS values in global terms, all of the groups were different in both of
the age groups. The Ignorance Profile was compared with the other profiles using orthogonal
contrasts. This profile differed from all of the others in isolation and in clusters. However, the
mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old.
Furthermore, associations were found between the data quality indicators, the CMId for
badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the
IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic
and sanitary deprivation. The findings of the present study show that, despite the
decrease in the mortality coefficients, there are notable differences in the profiles related to
contextual conditions, including regional differences in data quality. These differences
increase the vulnerability of the age groups studied and the health iniquities that are already
present. |
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