Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis

Aims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary info...

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Autores: Popescu, Mónica Lavinia, Pérez Vega, Karla Alejandra, Castañer, Olga, Schröder, Helmut, 1958-, Fitó Colomer, Montserrat, Fernández-Villa, Tania
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/71711
Acceso en línea:http://hdl.handle.net/10230/71711
http://dx.doi.org/10.1016/j.dsx.2024.103123
Access Level:acceso abierto
Palabra clave:Dietary patterns
Metabolic syndrome
Principal component analysis
Cluster analysis
Sex approach
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dc.title.none.fl_str_mv Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
title Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
spellingShingle Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
Popescu, Mónica Lavinia
Dietary patterns
Metabolic syndrome
Principal component analysis
Cluster analysis
Sex approach
title_short Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
title_full Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
title_fullStr Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
title_full_unstemmed Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
title_sort Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
dc.creator.none.fl_str_mv Popescu, Mónica Lavinia
Pérez Vega, Karla Alejandra
Castañer, Olga
Schröder, Helmut, 1958-
Fitó Colomer, Montserrat
Fernández-Villa, Tania
author Popescu, Mónica Lavinia
author_facet Popescu, Mónica Lavinia
Pérez Vega, Karla Alejandra
Castañer, Olga
Schröder, Helmut, 1958-
Fitó Colomer, Montserrat
Fernández-Villa, Tania
author_role author
author2 Pérez Vega, Karla Alejandra
Castañer, Olga
Schröder, Helmut, 1958-
Fitó Colomer, Montserrat
Fernández-Villa, Tania
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Dietary patterns
Metabolic syndrome
Principal component analysis
Cluster analysis
Sex approach
topic Dietary patterns
Metabolic syndrome
Principal component analysis
Cluster analysis
Sex approach
description Aims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary information collected with food frequency questionnaires, using principal component analysis and cluster analysis and then information from both statistical methods was compared. Prevalences were calculated foreach cluster group, based on the number and types of metabolic syndrome criteria they met. Results: Following principal component analysis, two dietary patterns labeled "healthy" and "unhealthy" were identified in both men and women, due to the presence of foods that are considered more or less healthy. These same dietary patterns were found in cluster analysis plus an "intermediate" cluster consisting of both healthy and unhealthy foods. The presence of metabolic syndrome is related to the "healthy" dietary pattern in women and to the "unhealthy" dietary pattern in men. Comparison of the two statistical approaches showed a high level of correlation between them (weighted Kappa = 0.703 in women and weighted Kappa = 0.691 in men). Conclusions: Adherence to both healthy and unhealthy dietary pattern appears to be related to the development of MS. The differences found by sex make it necessary to develop interventions with a sex-specific approach.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/71711
http://dx.doi.org/10.1016/j.dsx.2024.103123
url http://hdl.handle.net/10230/71711
http://dx.doi.org/10.1016/j.dsx.2024.103123
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 2024;18(9):103123
info:eu-repo/grantAgreement/EC/FP7/340918
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
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spelling Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysisPopescu, Mónica LaviniaPérez Vega, Karla AlejandraCastañer, OlgaSchröder, Helmut, 1958-Fitó Colomer, MontserratFernández-Villa, TaniaDietary patternsMetabolic syndromePrincipal component analysisCluster analysisSex approachAims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary information collected with food frequency questionnaires, using principal component analysis and cluster analysis and then information from both statistical methods was compared. Prevalences were calculated foreach cluster group, based on the number and types of metabolic syndrome criteria they met. Results: Following principal component analysis, two dietary patterns labeled "healthy" and "unhealthy" were identified in both men and women, due to the presence of foods that are considered more or less healthy. These same dietary patterns were found in cluster analysis plus an "intermediate" cluster consisting of both healthy and unhealthy foods. The presence of metabolic syndrome is related to the "healthy" dietary pattern in women and to the "unhealthy" dietary pattern in men. Comparison of the two statistical approaches showed a high level of correlation between them (weighted Kappa = 0.703 in women and weighted Kappa = 0.691 in men). Conclusions: Adherence to both healthy and unhealthy dietary pattern appears to be related to the development of MS. The differences found by sex make it necessary to develop interventions with a sex-specific approach.The PREDIMED-Plus trial was supported by the European Research Council (Advanced Research Grant 2013-2018, 340918) to Dr Martínez-González, and the official funding agency for biomedical research of the Spanish government, Instituto de Salud Carlos III, through the Fondo de Investigación para la Salud, which is cofunded by the European Regional Development Fund (5 coordinated Fondo de Investigación para la Salud projects led by Dr. Salas-Salvadó and Dr Vidal, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158), the Especial Action Project titled Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to Dr Salas-Salvadó, the Recercaixa grant to Dr Salas-Salvadó (2013ACUP00194), a CICYT (Consejo Interinstitucional de Ciencia y Tecnología) grant (AGL2016-75329-R), a grant from the Generalitat Valenciana (APOSTD/2019/136 to R.B) and Generalitat de Catalunya (SGR-2019 to R.E), grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, and PI0137/2018), grants from the Generalitat Valenciana (PROMETEO/2017/017 and PROMETEO/2021/21), a SEMERGEN (Sociedad Española de Médicos de Atención Primaria) grant, EU-COST (European Cooperation in Science and Technology) Action CA16112, a grant of support to research groups number 35/2011 from the Balearic Islands Government, grants from IDISBA (Instituto de Investigación Sanitaria Islas Baleares), funds from the European Regional Development Fund (CIBEROBN CB06/03 and CB12/03) and from the European Commission (EAT2BENI-CE_H2020_SFS2016). Juan de la Cierva-Incorporación research grant (IJC2019-042420-I/AEI/10.13039/501100011033) from Agencia Estatal de Investigación to JK. INSA-Ma María de Maeztu Unit of Excellence (grant CEX2021-001234-M funded by MICIN/AEI/FEDER, UE). The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the article, or in the decision to publish the results.Elsevier2025202520242025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/71711http://dx.doi.org/10.1016/j.dsx.2024.103123reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésDiabetes and Metabolic Syndrome: Clinical Research and Reviews. 2024;18(9):103123info:eu-repo/grantAgreement/EC/FP7/340918© 2024 Research Trust of DiabetesIndia (DiabetesIndia) and National Diabetes Obesity and Cholesterol Foundation (N-DOC). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/717112026-06-12T07:21:37Z
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