Banca de DEFESA: TAMIRES CARNEIRO DE OLIVEIRA MENDES

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : TAMIRES CARNEIRO DE OLIVEIRA MENDES
DATA : 27/03/2018
HORA: 13:00
LOCAL: Departamento de Odontologia da UFRN
TÍTULO:

PROFILES OF MORTALITY OF ELDERLY IN THE NORTHEAST: STUDY
COMPARATIVE BETWEEN THREE AGE GROUP AND ITS FACTORS
RELATED CONTEXT

PALAVRAS-CHAVES:

Aged. Mortality. Cause of death. Health Information Systems. Health Status
Disparities. Socioeconomic Factors.

PÁGINAS: 160
GRANDE ÁREA: Ciências da Saúde
ÁREA: Saúde Coletiva
RESUMO:

The elderly population grows rapidly and reveals a variability of characteristics that results
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 (longevity). 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 the 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 dependence of the
State) 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. The municipalities identified in the clusters with the most unfavorable health
profiles should be prioritized in health planning, considering the socioeconomic context for
reducing health inequities.

MEMBROS DA BANCA:
Externo à Instituição - DALIA ELENA ROMERO MONTILLA - Fiocruz - RJ
Interno - 2305247 - ISABELLE RIBEIRO BARBOSA
Presidente - 277398 - KENIO COSTA DE LIMA
Externo à Instituição - MARIA DO CARMO EULÁLIO - UEPB
Externo ao Programa - 2330137 - VILANI MEDEIROS DE ARAUJO NUNES