Structural equation modeling in epidemiology

Detalhes bibliográficos
Autor(a) principal: Amorim,Leila Denise Alves Ferreira
Data de Publicação: 2010
Outros Autores: Fiaccone,Rosemeire L., Santos,Carlos Antônio S. T., Santos,Tereza Nadya dos, Moraes,Lia Terezinha L. P. de, Oliveira,Nelson F., Barbosa,Silvano O., Santos,Darci Neves dos, Santos,Letícia Marques dos, Matos,Sheila M. A., Barreto,Maurício L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001200004
Resumo: Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child's home environment, parenting style, and the child's health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.
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spelling Structural equation modeling in epidemiologyMathematical ModelsStatistical Factor AnalysisCausalityStructural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child's home environment, parenting style, and the child's health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001200004Cadernos de Saúde Pública v.26 n.12 2010reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/S0102-311X2010001200004info:eu-repo/semantics/openAccessAmorim,Leila Denise Alves FerreiraFiaccone,Rosemeire L.Santos,Carlos Antônio S. T.Santos,Tereza Nadya dosMoraes,Lia Terezinha L. P. deOliveira,Nelson F.Barbosa,Silvano O.Santos,Darci Neves dosSantos,Letícia Marques dosMatos,Sheila M. A.Barreto,Maurício L.eng2011-01-06T00:00:00Zoai:scielo:S0102-311X2010001200004Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2011-01-06T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.none.fl_str_mv Structural equation modeling in epidemiology
title Structural equation modeling in epidemiology
spellingShingle Structural equation modeling in epidemiology
Amorim,Leila Denise Alves Ferreira
Mathematical Models
Statistical Factor Analysis
Causality
title_short Structural equation modeling in epidemiology
title_full Structural equation modeling in epidemiology
title_fullStr Structural equation modeling in epidemiology
title_full_unstemmed Structural equation modeling in epidemiology
title_sort Structural equation modeling in epidemiology
author Amorim,Leila Denise Alves Ferreira
author_facet Amorim,Leila Denise Alves Ferreira
Fiaccone,Rosemeire L.
Santos,Carlos Antônio S. T.
Santos,Tereza Nadya dos
Moraes,Lia Terezinha L. P. de
Oliveira,Nelson F.
Barbosa,Silvano O.
Santos,Darci Neves dos
Santos,Letícia Marques dos
Matos,Sheila M. A.
Barreto,Maurício L.
author_role author
author2 Fiaccone,Rosemeire L.
Santos,Carlos Antônio S. T.
Santos,Tereza Nadya dos
Moraes,Lia Terezinha L. P. de
Oliveira,Nelson F.
Barbosa,Silvano O.
Santos,Darci Neves dos
Santos,Letícia Marques dos
Matos,Sheila M. A.
Barreto,Maurício L.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Amorim,Leila Denise Alves Ferreira
Fiaccone,Rosemeire L.
Santos,Carlos Antônio S. T.
Santos,Tereza Nadya dos
Moraes,Lia Terezinha L. P. de
Oliveira,Nelson F.
Barbosa,Silvano O.
Santos,Darci Neves dos
Santos,Letícia Marques dos
Matos,Sheila M. A.
Barreto,Maurício L.
dc.subject.por.fl_str_mv Mathematical Models
Statistical Factor Analysis
Causality
topic Mathematical Models
Statistical Factor Analysis
Causality
description Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child's home environment, parenting style, and the child's health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001200004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0102-311X2010001200004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
publisher.none.fl_str_mv Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
dc.source.none.fl_str_mv Cadernos de Saúde Pública v.26 n.12 2010
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
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institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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