Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis

The objective of this study was to identify risk factors for low birth weight in singleton live born infants in Rio Grande do Sul State, Brazil, in 2003, based on data from the Information System on Live Births. The study used both classical multivariate and multilevel logistic regression. Risk factors were evaluated at two levels: individual (live births) and contextual (micro-regions). At the individual level the two models showed a significant association between low birth weight and prematurity, number of prenatal visits, congenital anomalies, place of delivery, parity, sex, maternal age, maternal occupation, marital status, schooling, and type of delivery. In the multilevel models, the greater the urbanization of the micro-region, the higher the risk of low birth weight, while in less urbanized micro-regions, single mothers had an increased risk of low birth considering all live births. Low birth weight varied according to micro-region and was associated with individual and contextual characteristics. Although most of the variation in low birth weight occurred at the individual level, the multilevel model identified an important risk factor in the contextual level.

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Main Authors: Moraes,Anaelena Bragança de, Zanini,Roselaine Ruviaro, Riboldi,João, Giugliani,Elsa Regina Justo
Format: Digital revista
Language:English
Published: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz 2012
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2012001400008
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spelling oai:scielo:S0102-311X20120014000082012-12-21Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysisMoraes,Anaelena Bragança deZanini,Roselaine RuviaroRiboldi,JoãoGiugliani,Elsa Regina Justo Newborn Infant Low Borth Weight Infant Risk Factors The objective of this study was to identify risk factors for low birth weight in singleton live born infants in Rio Grande do Sul State, Brazil, in 2003, based on data from the Information System on Live Births. The study used both classical multivariate and multilevel logistic regression. Risk factors were evaluated at two levels: individual (live births) and contextual (micro-regions). At the individual level the two models showed a significant association between low birth weight and prematurity, number of prenatal visits, congenital anomalies, place of delivery, parity, sex, maternal age, maternal occupation, marital status, schooling, and type of delivery. In the multilevel models, the greater the urbanization of the micro-region, the higher the risk of low birth weight, while in less urbanized micro-regions, single mothers had an increased risk of low birth considering all live births. Low birth weight varied according to micro-region and was associated with individual and contextual characteristics. Although most of the variation in low birth weight occurred at the individual level, the multilevel model identified an important risk factor in the contextual level.info:eu-repo/semantics/openAccessEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo CruzCadernos de Saúde Pública v.28 n.12 20122012-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2012001400008en10.1590/S0102-311X2012001400008
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Moraes,Anaelena Bragança de
Zanini,Roselaine Ruviaro
Riboldi,João
Giugliani,Elsa Regina Justo
spellingShingle Moraes,Anaelena Bragança de
Zanini,Roselaine Ruviaro
Riboldi,João
Giugliani,Elsa Regina Justo
Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
author_facet Moraes,Anaelena Bragança de
Zanini,Roselaine Ruviaro
Riboldi,João
Giugliani,Elsa Regina Justo
author_sort Moraes,Anaelena Bragança de
title Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
title_short Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
title_full Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
title_fullStr Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
title_full_unstemmed Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis
title_sort risk factors for low birth weight in rio grande do sul state, brazil: classical and multilevel analysis
description The objective of this study was to identify risk factors for low birth weight in singleton live born infants in Rio Grande do Sul State, Brazil, in 2003, based on data from the Information System on Live Births. The study used both classical multivariate and multilevel logistic regression. Risk factors were evaluated at two levels: individual (live births) and contextual (micro-regions). At the individual level the two models showed a significant association between low birth weight and prematurity, number of prenatal visits, congenital anomalies, place of delivery, parity, sex, maternal age, maternal occupation, marital status, schooling, and type of delivery. In the multilevel models, the greater the urbanization of the micro-region, the higher the risk of low birth weight, while in less urbanized micro-regions, single mothers had an increased risk of low birth considering all live births. Low birth weight varied according to micro-region and was associated with individual and contextual characteristics. Although most of the variation in low birth weight occurred at the individual level, the multilevel model identified an important risk factor in the contextual level.
publisher Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
publishDate 2012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2012001400008
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