Structural equation modeling in epidemiology
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , , , , , |
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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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) |
instacron_str |
FIOCRUZ |
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 |
_version_ |
1754115730761056256 |