Document Detail


Congenital malformations in Rio de Janeiro, Brazil: prevalence and associated factors.
MedLine Citation:
PMID:  17091179     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study aims to estimate the prevalence of congenital malformations and their correlation with socioeconomic and maternal variables. The design was cross-sectional, based on a sample of 9,386 postpartum women after admission for childbirth in maternity hospitals in the city of Rio de Janeiro, Brazil. Data were collected through interviews with mothers in the immediate postpartum, as well as by consulting the patient records of both the mothers and newborn infants. Prevalence of congenital malformations at birth was 1.7%, and minor malformations were the most frequent. Neural tube defects were the most frequent major malformations. According to multivariate analysis, congenital malformations were statistically associated with: maternity hospitals belonging to or outsourced by the Unified National Health System (SUS) and inadequate prenatal care (<or= 3 visits). This study highlights the importance of measures for health promotion and disease prevention in childbearing-age women, with special attention to prenatal care and childbirth, which can directly influence neonatal indicators and prevention of birth defects.
Authors:
Cláudia Maria da Silva Costa; Silvana Granado Nogueira da Gama; Maria do Carmo Leal
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Cadernos de saúde pública     Volume:  22     ISSN:  0102-311X     ISO Abbreviation:  Cad Saude Publica     Publication Date:  2006 Nov 
Date Detail:
Created Date:  2006-11-08     Completed Date:  2007-03-06     Revised Date:  2013-03-18    
Medline Journal Info:
Nlm Unique ID:  8901573     Medline TA:  Cad Saude Publica     Country:  Brazil    
Other Details:
Languages:  eng     Pagination:  2423-31     Citation Subset:  IM    
Affiliation:
Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Rio de Janeiro, Brasil. cms_costa@yahoo.com.br
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MeSH Terms
Descriptor/Qualifier:
Birth Weight
Brazil / epidemiology
Congenital Abnormalities / diagnosis,  epidemiology*
Cross-Sectional Studies
Epidemiologic Methods
Female
Gestational Age
Hospitals, Maternity / statistics & numerical data
Humans
Infant, Newborn
Male
Prenatal Care
Socioeconomic Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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