Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents

Detalhes bibliográficos
Autor(a) principal: Andrade, Vanessa M. B.
Data de Publicação: 2019
Outros Autores: Santana, Mônica Leila Portela, Fukutani, Kiyoshi Ferreira, Queiroz, Artur Trancoso Lopo de, Arriaga Gutiérrez, María Belen, Machado, Maria Ester P Conceição, Silva, Rita de Cássia Ribeiro, Andrade, Bruno de Bezerril
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/35866
Resumo: Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, Project number: 7638/2009) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). V.M.B.A. received scholarship from FAPESB. The work of B.B.A. was supported by a grant from NIH (U01AI115940). B.B.A. is a senior scientist fellow from CNPq. K.F.F. and M.B.A. received a fellowship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, finance code: 001).
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spelling Andrade, Vanessa M. B.Santana, Mônica Leila PortelaFukutani, Kiyoshi FerreiraQueiroz, Artur Trancoso Lopo deArriaga Gutiérrez, María BelenMachado, Maria Ester P ConceiçãoSilva, Rita de Cássia RibeiroAndrade, Bruno de Bezerril2019-09-24T18:46:50Z2019-09-24T18:46:50Z2019VANESSA, Vanessa M. B. et al. Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents. Nutrients, v. 11, p. 1-15, 2019.2072-6643https://www.arca.fiocruz.br/handle/icict/3586610.3390/nu11081946Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, Project number: 7638/2009) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). V.M.B.A. received scholarship from FAPESB. The work of B.B.A. was supported by a grant from NIH (U01AI115940). B.B.A. is a senior scientist fellow from CNPq. K.F.F. and M.B.A. received a fellowship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, finance code: 001).Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil.Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação José Silveira. Multinational Organization Network Sponsoring Translational and Epidemiological Research. Salvador, BA, Brazil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação José Silveira. Multinational Organization Network Sponsoring Translational and Epidemiological Research. Salvador, BA, Brazil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação José Silveira. Multinational Organization Network Sponsoring Translational and Epidemiological Research. Salvador, BA, Brazil.Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil.Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação José Silveira. Multinational Organization Network Sponsoring Translational and Epidemiological Research. Salvador, BA, Brazil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil / Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil / Universidade Salvador. Laureate Universities. Curso de Medicina. Salvador, BA, Brasil.There is a significant increase in overweight and obesity in adolescents worldwide. Here, we performed a cross-sectional study to examine the potential association between food consumption profiles and overweight in a large number of adolescents from Brazil. Sampling by clusters and conglomerates was carried out in students of public schools in Salvador, Brazil, between June and December 2009 and 1496 adolescents were evaluated. Data on socio-epidemiological data, anthropometric status and food consumption were captured. Multivariate analyses, such as hierarchical clustering and correlation networks, were used to perform a detailed description of food consumption profiles. There were differences in age and anthropometric status related to sex. Four clusters of food groups were identified based on the intake profile in the study population. No disparities in food intake were observed in individuals stratified by sex or anthropometric status. Furthermore, network analysis revealed that overweight or obesity were hallmarked by a selectivity in the ingestion of food groups that resulted in the appearance of inverse correlations of consumption, which was not present in eutrophic adolescents. Thus, overweight and obesity are associated with preferential choices of ingestion of specific food groups, which result in the appearance of inverse correlations of consumption. Such knowledge may serve as basis for future targeted nutritional interventions in adolescents.engMDPIIngestão alimentarGrupo de comidaAdolescentesPadrões alimentaresEstado antropométricoAnálise estatística multidimensionalDietary intakeFood groupAdolescentsDietary patternsAnthropometric statusMultidimensional statistical analysisMultidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescentsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/35866/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALAndrade B.M.V. Multidimensional....pdfAndrade B.M.V. 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dc.title.pt_BR.fl_str_mv Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
title Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
spellingShingle Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
Andrade, Vanessa M. B.
Ingestão alimentar
Grupo de comida
Adolescentes
Padrões alimentares
Estado antropométrico
Análise estatística multidimensional
Dietary intake
Food group
Adolescents
Dietary patterns
Anthropometric status
Multidimensional statistical analysis
title_short Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
title_full Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
title_fullStr Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
title_full_unstemmed Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
title_sort Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents
author Andrade, Vanessa M. B.
author_facet Andrade, Vanessa M. B.
Santana, Mônica Leila Portela
Fukutani, Kiyoshi Ferreira
Queiroz, Artur Trancoso Lopo de
Arriaga Gutiérrez, María Belen
Machado, Maria Ester P Conceição
Silva, Rita de Cássia Ribeiro
Andrade, Bruno de Bezerril
author_role author
author2 Santana, Mônica Leila Portela
Fukutani, Kiyoshi Ferreira
Queiroz, Artur Trancoso Lopo de
Arriaga Gutiérrez, María Belen
Machado, Maria Ester P Conceição
Silva, Rita de Cássia Ribeiro
Andrade, Bruno de Bezerril
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Andrade, Vanessa M. B.
Santana, Mônica Leila Portela
Fukutani, Kiyoshi Ferreira
Queiroz, Artur Trancoso Lopo de
Arriaga Gutiérrez, María Belen
Machado, Maria Ester P Conceição
Silva, Rita de Cássia Ribeiro
Andrade, Bruno de Bezerril
dc.subject.other.pt_BR.fl_str_mv Ingestão alimentar
Grupo de comida
Adolescentes
Padrões alimentares
Estado antropométrico
Análise estatística multidimensional
topic Ingestão alimentar
Grupo de comida
Adolescentes
Padrões alimentares
Estado antropométrico
Análise estatística multidimensional
Dietary intake
Food group
Adolescents
Dietary patterns
Anthropometric status
Multidimensional statistical analysis
dc.subject.en.pt_BR.fl_str_mv Dietary intake
Food group
Adolescents
Dietary patterns
Anthropometric status
Multidimensional statistical analysis
description Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, Project number: 7638/2009) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). V.M.B.A. received scholarship from FAPESB. The work of B.B.A. was supported by a grant from NIH (U01AI115940). B.B.A. is a senior scientist fellow from CNPq. K.F.F. and M.B.A. received a fellowship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, finance code: 001).
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-09-24T18:46:50Z
dc.date.available.fl_str_mv 2019-09-24T18:46:50Z
dc.date.issued.fl_str_mv 2019
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv VANESSA, Vanessa M. B. et al. Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents. Nutrients, v. 11, p. 1-15, 2019.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/35866
dc.identifier.issn.pt_BR.fl_str_mv 2072-6643
dc.identifier.doi.none.fl_str_mv 10.3390/nu11081946
identifier_str_mv VANESSA, Vanessa M. B. et al. Multidimensional Analysis of Food Consumption Reveals a Unique Dietary Profile Associated with Overweight and Obesity in Adolescents. Nutrients, v. 11, p. 1-15, 2019.
2072-6643
10.3390/nu11081946
url https://www.arca.fiocruz.br/handle/icict/35866
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv MDPI
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