Lima, Kenio Costa deMendes, Tamires Carneiro de Oliveira2018-06-212018-06-212018-03-27MENDES, Tamires Carneiro de Oliveira. Perfis da mortalidade de idosos no Nordeste: estudo comparativo entre três faixas etárias e seus fatores contextuais relacionados. 2018. 160f. Tese (Doutorado em Saúde Coletiva) - Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, 2018.https://repositorio.ufrn.br/jspui/handle/123456789/25473The elderly population grows rapidly and reveals a variability of characteristics that result in different levels of health. In order to make public policies adequate to the new demands, it is essential to comprehend the real health pattern and the mortality statistics are an important instrument to produce objective bases for this. In this sense, this ecological study proposes to analyze the mortality profile of the elderly in the northeastern municipalities from 2001 to 2015, as well as to identify the contextual socioeconomic factors related. The elderly population was analyzed from the perspective of their heterogeneity, dividing it into three groups: 60 to 69 years old (younger or sexagenarians), 70 to 79 years (septuagenarians) and 80 years old or older (oldest-old). Based on data from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IGBE), the causes of death, according to ICD-10 chapters, were measured using Proportional Mortality (MP) for the descriptive analysis of the Northeast region as a whole and through the Age-specific Mortality Coefficient (CMId) for the delineation of the mortality profiles in municipalities level. Data from IBGE, United Nations Program (PNUD) and the Institute of Applied Economic Research (IPEA) were summarized by Principal Component Analysis for Brazil and then in the Northeastern municipalities specifically. The clusters of municipalities with similar mortality profiles were defined by means of K-means Clustering Analysis and compared with each other and with the socioeconomic indices by Student's T test, Mann-Whitiney, ANOVA or Kruskal-Wallis, according to the number of groups and the distribution of the data, at a 5% significance level. In addition, the results were analyzed spatially. In the studied period, 2,461,383 deaths were recorded in the elderly in Northeast. 44.2% of the deaths corresponded to the octogenarians, 31.4% to the septuagenarians and 24.4% to the sexagenarians. Most of the deaths occurred in the hospital (55.5%), among males (50.8%), brown race (49.0%), married (37.1%) and without any study (34.5%). Regarding the causes of death, cardiovascular diseases have the highest number of deaths (35.8%), followed by ill-defined causes (15.4%) and neoplasms (13.1%). The clustering analysis formed five clusters for the sexagenarians group (High burden of neoplasms, High burden of ill-defined causes, Low coverage, Intermediate profile and High mortality and good registration), three for the septuagenarians (Highest quality of information, Low coverage and Ill-defined causes and low coverage profile) and two clusters for octogenarian’s individuals (Cardiovascular diseases and ill-defined causes and low coverage and ill-defined causes). The indices of Deprivation and Rurality were constructed for the Brazilian municipalities and, in the application of the analysis specifically in Northeast, the first one was divided in two components (Favorable socioeconomic context and Low education and higher State assistance) and the second was adapted as Urbanization and its reflexes. The last one was the most important factor for the discrimination of the northeastern municipalities. The bivariate analysis showed that satisfactory levels of contextual socioeconomic determinants are related to mortality patterns that are closer to the modern characteristics of epidemiological transition, as well as a higher quality of the SIM, and this influence is greater in the younger individuals. Oldest-old people differ from other older age groups because they have more homogeneous mortality patterns, more affected by the quality of SIM and less influenced by contextual socioeconomic factors. Finally, the study identified priority municipalities, grouped in the most unfavorable health profiles, for Health Planning, that must considerate the socioeconomic context, especially the level of urbanization, to reduce health inequities.Acesso AbertoIdosoMortalidadeCausas de morteSistemas de informaçãoDesigualdades em saúdeFatores socioeconômicosdoctoralThesisCNPQ::CIENCIAS DA SAUDE::SAUDE COLETIVA