Infant mortality in Pelotas, Brazil: a comparison of risk factors in two birth cohorts

Ana Maria Baptista Menezes; Pedro Curi Hallal; Iná S. Santos; César G. Victora; Fernando C. Barros

doi:10.1590/s1020-49892005001000007

Abstract

There were impressive declines in infant mortality which were not due to changes in the risk factors we studied. Because no reduction was seen in the large social inequalities documented in the 1982 cohort, it is likely that the reduction in infant mortality resulted largely from improvements in health care.

Keywords

Infant mortalityMedicineDemographySocioeconomic statusPopulationCohort studyMortality rateRisk factorGestational agePediatricsPregnancyEnvironmental health

MeSH Terms

Birth WeightBrazilCohort StudiesData InterpretationStatisticalFemaleFetal Growth RetardationGestational AgeHumansInfant MortalityInfantNewbornMaleMaternal AgeObstetric LaborPrematureParityPovertyPregnancyProspective StudiesQuality of Health CareRisk FactorsSocioeconomic Factors

Affiliated Institutions

Universidade Federal de Pelotas BR

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Publication Info

Year: 2005
Type: article
Volume: 18
Issue: 6
Pages: 439-46
Citations: 26
Access: Closed

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APA Style

                            
                                
                                    Ana Maria Baptista Menezes, 
                                
                                    Pedro Curi Hallal, 
                                
                                    Iná S. Santos
                                
                                et al.
                            
                            (2005). 
                            Infant mortality in Pelotas, Brazil: a comparison of risk factors in two birth cohorts. 
                            Revista Panamericana de Salud Pública
                            , 18
                            (6)
                            , 439-46.
                            https://doi.org/10.1590/s1020-49892005001000007
                        

Identifiers

DOI: 10.1590/s1020-49892005001000007
PMID: 16536930

Data Quality

Data completeness: 86%