A comparison of three statistical methods applied in the identification of eating patterns
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=S0102-311X2010001100015 |
Resumo: | This work aimed to compare the results of three statistical methods applied in the identification of dietary patterns. Data from 1,009 adults between the ages of 20 and 65 (339 males and 670 females) were collected in a population-based cross-sectional survey in the Metropolitan Region of Rio de Janeiro, Brazil. Information on food consumption was obtained using a semi-quantitative food frequency questionnaire. A factor analysis, cluster analysis, and reduced rank regression (RRR) analysis were applied to identify dietary patterns. The patterns identified by the three methods were similar. The factor analysis identified "mixed", "Western", and "traditional" eating patterns and explained 35% of the data variance. The cluster analysis identified "mixed" and "traditional" patterns. In the RRR, the consumption of carbohydrates and lipids were included as response variables and again "mixed" and "traditional" patterns were identified. Studies comparing these methods can help to inform decisions as to which procedures best suit a specific research scenario. |
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A comparison of three statistical methods applied in the identification of eating patternsFood ConsumptionFood HabitsStatistical Factor AnalysisThis work aimed to compare the results of three statistical methods applied in the identification of dietary patterns. Data from 1,009 adults between the ages of 20 and 65 (339 males and 670 females) were collected in a population-based cross-sectional survey in the Metropolitan Region of Rio de Janeiro, Brazil. Information on food consumption was obtained using a semi-quantitative food frequency questionnaire. A factor analysis, cluster analysis, and reduced rank regression (RRR) analysis were applied to identify dietary patterns. The patterns identified by the three methods were similar. The factor analysis identified "mixed", "Western", and "traditional" eating patterns and explained 35% of the data variance. The cluster analysis identified "mixed" and "traditional" patterns. In the RRR, the consumption of carbohydrates and lipids were included as response variables and again "mixed" and "traditional" patterns were identified. Studies comparing these methods can help to inform decisions as to which procedures best suit a specific research scenario.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2010-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001100015Cadernos de Saúde Pública v.26 n.11 2010reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/S0102-311X2010001100015info:eu-repo/semantics/openAccessCunha,Diana BarbosaAlmeida,Renan Moritz Varnier Rodrigues dePereira,Rosângela Alveseng2010-12-15T00:00:00Zoai:scielo:S0102-311X2010001100015Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2010-12-15T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.none.fl_str_mv |
A comparison of three statistical methods applied in the identification of eating patterns |
title |
A comparison of three statistical methods applied in the identification of eating patterns |
spellingShingle |
A comparison of three statistical methods applied in the identification of eating patterns Cunha,Diana Barbosa Food Consumption Food Habits Statistical Factor Analysis |
title_short |
A comparison of three statistical methods applied in the identification of eating patterns |
title_full |
A comparison of three statistical methods applied in the identification of eating patterns |
title_fullStr |
A comparison of three statistical methods applied in the identification of eating patterns |
title_full_unstemmed |
A comparison of three statistical methods applied in the identification of eating patterns |
title_sort |
A comparison of three statistical methods applied in the identification of eating patterns |
author |
Cunha,Diana Barbosa |
author_facet |
Cunha,Diana Barbosa Almeida,Renan Moritz Varnier Rodrigues de Pereira,Rosângela Alves |
author_role |
author |
author2 |
Almeida,Renan Moritz Varnier Rodrigues de Pereira,Rosângela Alves |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cunha,Diana Barbosa Almeida,Renan Moritz Varnier Rodrigues de Pereira,Rosângela Alves |
dc.subject.por.fl_str_mv |
Food Consumption Food Habits Statistical Factor Analysis |
topic |
Food Consumption Food Habits Statistical Factor Analysis |
description |
This work aimed to compare the results of three statistical methods applied in the identification of dietary patterns. Data from 1,009 adults between the ages of 20 and 65 (339 males and 670 females) were collected in a population-based cross-sectional survey in the Metropolitan Region of Rio de Janeiro, Brazil. Information on food consumption was obtained using a semi-quantitative food frequency questionnaire. A factor analysis, cluster analysis, and reduced rank regression (RRR) analysis were applied to identify dietary patterns. The patterns identified by the three methods were similar. The factor analysis identified "mixed", "Western", and "traditional" eating patterns and explained 35% of the data variance. The cluster analysis identified "mixed" and "traditional" patterns. In the RRR, the consumption of carbohydrates and lipids were included as response variables and again "mixed" and "traditional" patterns were identified. Studies comparing these methods can help to inform decisions as to which procedures best suit a specific research scenario. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-11-01 |
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=S0102-311X2010001100015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2010001100015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0102-311X2010001100015 |
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.11 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_ |
1754115730747424768 |