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

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Popescu, Mónica Lavinia
• dc.contributor.author Pérez Vega, Karla Alejandra
• dc.contributor.author Castañer, Olga
• dc.contributor.author Schröder, Helmut, 1958-
• dc.contributor.author Fitó Colomer, Montserrat
• dc.contributor.author Fernández-Villa, Tania
• dc.date.accessioned 2025-10-29T18:03:05Z
• dc.date.available 2025-10-29T18:03:05Z
• dc.date.issued 2024
• dc.date.updated 2025-10-29T18:03:04Z
• dc.description.abstract 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.
• dc.description.sponsorship 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.
• dc.format.mimetype application/pdf
• dc.identifier.citation Popescu ML, Rubín-García M, Álvarez-Álvarez L, et al. Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis. Diabetes Metab Syndr. 2024 Sep;18(9):103123. DOI: 10.1016/j.dsx.2024.103123
• dc.identifier.doi http://dx.doi.org/10.1016/j.dsx.2024.103123
• dc.identifier.issn 1871-4021
• dc.identifier.uri http://hdl.handle.net/10230/71711
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 2024;18(9):103123
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/340918
• dc.rights © 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/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Dietary patterns
• dc.subject.keyword Metabolic syndrome
• dc.subject.keyword Principal component analysis
• dc.subject.keyword Cluster analysis
• dc.subject.keyword Sex approach
• dc.title Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion