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Previous issue date: 2016-06-28 / A transi??o da estrutura et?ria no Brasil ocorre de forma r?pida e em ambiente socioecon?mico desfavor?vel. O Nordeste brasileiro, historicamente, destacado pela presen?a de profundas desigualdades sociais apresenta-se como a terceira regi?o mais envelhecida do pa?s e tal fato ganha import?ncia, considerando sua extensa dimens?o territorial, bem como o contexto s?cio-ambiental desfavor?vel. O objetivo deste estudo foi analisar a rela??o entre o contexto e o envelhecimento populacional na regi?o Nordeste do Brasil. Trata-se de um estudo ecol?gico, cujo cen?rio corresponde ? regi?o Nordeste, composta por 9 estados e 1.794 munic?pios. Foram coletados dados demogr?ficos e de indicadores socioecon?micos, nas bases eletr?nicas do Instituto Brasileiro de Geografia e Estat?stica ? IBGE, do Instituto de Pesquisa Econ?mica e Aplicada ? IPEA, do Atlas de Desenvolvimento Humano do Programa das Na??es Unidas para o Desenvolvimento ? PNUD e do Departamento de Inform?tica do SUS ? DATASUS. O desfecho do estudo consistiu nos n?veis de envelhecimento populacional, definidos a partir de an?lise de conglomerados que agrupou os munic?pios, considerando cinco indicadores demogr?ficos de envelhecimento (percentual de idosos, ?ndice de envelhecimento, sobreenvelhecimento, depend?ncia senil e ?ndice de substitui??o da popula??o em idade ativa). Foi utilizada a an?lise de componentes principais para obten??o de fatores socioecon?micos e demogr?ficos, que representaram as vari?veis independentes do estudo. Outras vari?veis de import?ncia te?rica para o desfecho tamb?m foram selecionadas. Realizou-se o georreferenciamento dos dados da vari?vel dependente, utilizando TabWin 3.6b, para identifica??o visual do perfil de envelhecimento da regi?o, segundo os n?veis de envelhecimento. Nas an?lises de associa??o utilizou-se o teste ANOVA, para os fatores e demais vari?veis quantitativas, e o teste do Qui-quadrado, para as vari?veis categ?ricas. Em ambos os testes considerou-se um n?vel de signific?ncia de 5%. Utilizou-se a an?lise de regress?o log?stica ordinal para verificar as associa??es finais com o desfecho. Observou-se que o envelhecimento populacional no Nordeste apresenta um padr?o de distribui??o espacial heterog?neo, com concentra??o de maiores n?veis na regi?o do semi?rido, atingindo o sert?o e centro-sul do Cear?, partes das regi?es oeste, central e agreste do Rio Grande do Norte, e quase a totalidade do estado da Para?ba, ? exce??o da regi?o litor?nea. Os altos n?veis de envelhecimento associaram-se a bons n?veis de educa??o, depend?ncia de renda governamental, ao saldo migrat?rio da popula??o geral, ? raz?o urbano-rural e a alguns estados da regi?o, tomando como refer?ncia para compara??o, o estado da Para?ba. Considera-se importante o estudo situacional do envelhecimento no Nordeste brasileiro que, embora desigual, destaca-se pela presen?a de grandes contingentes de idosos. O entendimento de tal distribui??o, por sua vez, pode levar ? identifica??o de fatores determinantes locais e/ou gerais do envelhecimento das popula??es, a serem abordados nas pol?ticas p?blicas pr?-envelhecimento. / The changing age distribution in Brazil occurs quickly and in an unfavorable environment socio-economically. The Brazilian Northeast, historically, highlighted by the presence of deep social inequality appears as the third most aged region of the country and this fact becomes important, considering its extensive territorial dimension as well as an unfavorable socio-environmental context. The aim of this study was to analyze the relationship between the context and the aging population in the Northeast of Brazil. This is an ecological study, whose scenario corresponds to the Northeast region, consisting of nine states and 1,794 municipalities. We collected demographic data and several socioeconomic indicators in the electronic databases of the Brazilian Institute of Geography and Statistics (IBGE), Applied Economic Research Institute (IPEA), the Human Development Atlas of the United Nations Development Programme (PNUD) and the SUS Department of Informatics (DATASUS). The outcome of the study was the levels of population aging, defined from cluster analysis that grouped municipalities, considering five demographic aging indicators (percentage of elderly, aging index, ?over-aging?, senile dependence and population replacement in active age index). The principal component analysis was used to obtain socioeconomic-demographics factors, which represented the independent variables of the study. Other variables with theoretical importance for the outcome were also selected. It was held georeferencing of the outcome variable data using TabWin 3.6b, for visual identification of Northeast aging profile, according to the levels of aging. In association analyzes used the ANOVA test for the factors and others quantitative variables and the chi-square test for categorical variables. In both tests it was considered a 5% significance level. We used the ordinal logistic regression analysis to verify the actual associations with the outcome. It was observed that aging in the Northeast shows a pattern of heterogeneous distribution, with concentration higher levels in the region belonging to the semi-arid region, covering the interior and south-central of the Cear? state, parts of the western, central and harsh regions of Rio Grande do Norte state, and almost all of the area of Paraiba state, except the coastal region. The high levels of aging were associated with good levels of education, dependence on government income, the net migration of the general population, the reason urban/rural and some states of the region, taking as reference for comparison, the state of Paraiba. It is important the aging situational study in Northeast Brazil, a region that, although unequally, has a large contingent of elderly. The understanding of such distribution, in turn, can lead to the identification of local and/or general determinants of the population aging, to be addressed in the pro-aging policies.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/21960 |
| Date | 28 June 2016 |
| Creators | Silva, Diviane Alves da |
| Contributors | 50337157472, Souza, Dami?o Ernane de, 79881122449, Andrade, Lara de Melo Barbosa, 70407690425, Ferreira, Maria Angela Fernandes, 39817270459, Veras, Renato Peixoto, 14963388715, Lima, Kenio Costa de |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM SA?DE COLETIVA, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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