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Infant mortality by cause of death in the Rio de Janeiro metropolitan area, 1976-1986: association with socioeconomic, climatic and air pollution variables


Infant mortality by cause of death in the Rio de Janeiro metropolitan area, 1976-1986: association with socioeconomic, climatic and air pollution variables



Revista Brasileira de Estudos de Populacao 9(2): 115-137



ISSN/ISBN: 0102-3098

PMID: 12288924

The Metropolitan Region of Rio de Janeiro (RMR) consists of the capital (the city of Rio de Janeiro) and 13 surrounding cities. The city of Rio de Janeiro itself was divided into 24 rather heterogeneous administrative regions (RAS) based on the income level of their inhabitants, the supply of public services such as water and sewerage, and population density or air pollution. Three different socioeconomic covariables were selected in three residential zones (ZONA) or subareas: the central rich nucleus, the intermediary zone of transition, and the distant periphery. As dependent variables the specific rate of infant, neonatal, or postneonatal mortality were considered for causes. The RMRJ Civil Register mortality data were utilized. A factor of correction was estimated according to the technique of Brass using the fertility rate and the rate of delivery for specific 5-year age groups of mothers. A multivariate analysis, the adjusted generalized linear model (MLG), was used for studying associations between socioeconomic, climatic, and air pollution variables and the levels of mortality. The MLG was formulated by means of the statistical package, GLIM or Generalized Linear Interactive Modelling. Analysis of infant mortality trends during 1976-1986 for the large subareas of RMRJ and the outlying region showed that the peak months of total neonatal and perinatal mortality were March and February, while the lowest months were November and October. May and June represented maximum rates of postneonatal mortality for pneumonia, diarrhea, other respiratory infections, malnutrition, and other diseases. MLG indicated that there was a statistically significant association between the annual mortality rate for selected causes and socioeconomic indicators (INS, FS and Zona); the rates of mortality also varied depending on time (ANO and ANOQ); and the mortality rates also appeared to be associated with the variations of the log of average pollution (LPM).

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