Trabalho de Conclusão de Curso de Especialização
Estudo da mortalidade infantil: um modelo de regressão logística múltipla
Fecha
2009-08-31Autor
Mezzomo, Meire
Institución
Resumen
The present study had the purpose of analyzing the data of the System of Information on Born
Alive (SINASC) and of the System of Information on Mortality (SIM) in order to identify the
risk factors for the infant mortality of born alive from mothers living in the municipal districts
belonging to the 4th Local Coordination Department in 2006. A longitudinal study has been
developed for the analysis of the respective data by means of a multiple logistic regression
model. The Infant Mortality Coefficient (CMI) which expresses the risk of a born alive dying
before to complete one year old is considered as one of the most efficient indicatives of the
quality of health assistance, as well as of the socio-economical level of a population. In the
present study, the dependent variable (outcome) corresponds to the occurrence or not of death
in babies with less than one year old. The results of the model adjustment show that the
significant risk predicting factors (p ≤ 0,05) for infant mortality include the variables: marital
status (mother without stable engagement OR= 2,0) gestational age (premature: OR= 3,3)
birth weight (low weight: OR= 4,7), Apgar index in the first minute (≤ 8 OR= 3,9), Apgar
index in the fifth minute (≤ 8: OR = 5,6), and congenital anomalies (with anomaly: OR=
20,4). These results are in agreement with most of the results found in the literature about
infant mortality in Brazil. This study allowed using birth and death database, suggesting a
better surveillance and planning of the public health political, mainly regarding the attention
and cares with pregnant women, aiming at the early diagnosis of the possible fetal and
maternal diseases in order to provide a better quality of life for the baby.